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class="user-summary-cta-container"><div class="user-summary-container"><div class="social-profile-avatar-container"><img class="profile-avatar u-positionAbsolute" alt="Athanasios D Sarantopoulos" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/28179429/40078933/32948669/s200_athanasios.sarantopoulos.jpg" /></div><div class="title-container"><h1 class="ds2-5-heading-sans-serif-sm">Athanasios D Sarantopoulos</h1><div class="affiliations-container fake-truncate js-profile-affiliations"><div><a class="u-tcGrayDarker" href="https://webster.academia.edu/">Webster University</a>, <a class="u-tcGrayDarker" href="https://webster.academia.edu/Departments/School_of_Business_and_Technology/Documents">School of Business and Technology</a>, <span class="u-tcGrayDarker">Adjunct</span></div></div></div></div><div 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University</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a href="https://uerj.academia.edu/GuilhermeMoerbeck"><img class="profile-avatar u-positionAbsolute" alt="Guilherme Moerbeck" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/5754609/2484777/147658339/s200_guilherme.moerbeck.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://uerj.academia.edu/GuilhermeMoerbeck">Guilherme Moerbeck</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">UERJ - Universidade do Estado do Rio de Janeiro / Rio de Janeiro State University</p></div></div></ul></div><div class="ri-section"><div class="ri-section-header"><span>Interests</span></div><div 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class="user-content-wrapper"><div class="uploads-container" id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="nav-container backbone-profile-documents-nav hidden-xs"><ul class="nav-tablist" role="tablist"><li class="nav-chip active" role="presentation"><a data-section-name="" data-toggle="tab" href="#all" role="tab">all</a></li><li class="nav-chip" role="presentation"><a class="js-profile-docs-nav-section u-textTruncate" data-click-track="profile-works-tab" data-section-name="Papers" data-toggle="tab" href="#papers" role="tab" title="Papers"><span>18</span> <span class="ds2-5-body-sm-bold">Papers</span></a></li><li class="nav-chip" role="presentation"><a class="js-profile-docs-nav-section u-textTruncate" data-click-track="profile-works-tab" data-section-name="Conference-Presentations" data-toggle="tab" href="#conferencepresentations" role="tab" title="Conference Presentations"><span>1</span> <span class="ds2-5-body-sm-bold">Conference Presentations</span></a></li></ul></div><div class="divider ds-divider-16" style="margin: 0px;"></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Athanasios D Sarantopoulos</h3></div><div class="js-work-strip profile--work_container" data-work-id="125050956"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/125050956/Modeling_of_linear_isentropic_flow_systems"><img alt="Research paper thumbnail of Modeling of linear isentropic flow systems" class="work-thumbnail" src="https://attachments.academia-assets.com/119164232/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/125050956/Modeling_of_linear_isentropic_flow_systems">Modeling of linear isentropic flow systems</a></div><div class="wp-workCard_item"><span>IEEE International Conference on Systems Engineering</span><span>, 1991</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A modeling approach for linear isentropic flow systems based on the quasi-one dimensional Euler e...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A modeling approach for linear isentropic flow systems based on the quasi-one dimensional Euler equations of non-viscous, compressible flow is presented. Such systems are representative of certain high speed propulsion systems. Accurate models useful in control system studies are developed. A supersonic inlet is considered and the resulting set of partial differential equations with boundary conditions is solved for a linear transfer matrix using Laplace transforms.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="374ae06ad6d890905e1c388cfdef1fe2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":119164232,"asset_id":125050956,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/119164232/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125050956"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125050956"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125050956; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="124687925"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/124687925/Tracking_design_for_a_gust_alleviation_control_system_for_aircraft"><img alt="Research paper thumbnail of Tracking design for a gust-alleviation control system for aircraft" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/124687925/Tracking_design_for_a_gust_alleviation_control_system_for_aircraft">Tracking design for a gust-alleviation control system for aircraft</a></div><div class="wp-workCard_item"><span>IEEE International Conference on Systems Engineering</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A tracking capability design is proposed for the gust-alleviation control system for aircraft of ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A tracking capability design is proposed for the gust-alleviation control system for aircraft of D. McLean (Proc. Inst. Elec. Eng., vol.125, p.675-685, July 1978). The mathematical model, a 27th-order linearized model, describes the small perturbation motion of a rigid aircraft about its equilibrium. The system is decoupled into two independent subsystems: a 15th-order model describing the lateral motion and a</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124687925"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124687925"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124687925; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124687925]").text(description); $(".js-view-count[data-work-id=124687925]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124687925; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124687925']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=124687925]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124687925,"title":"Tracking design for a gust-alleviation control system for aircraft","internal_url":"https://www.academia.edu/124687925/Tracking_design_for_a_gust_alleviation_control_system_for_aircraft","owner_id":28179429,"coauthors_can_edit":true,"owner":{"id":28179429,"first_name":"Athanasios","middle_initials":"D","last_name":"Sarantopoulos","page_name":"AthanasiosSarantopoulos","domain_name":"webster","created_at":"2015-03-20T00:06:48.125-07:00","display_name":"Athanasios D Sarantopoulos","url":"https://webster.academia.edu/AthanasiosSarantopoulos"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="124322800"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/124322800/Using_feedthrough_for_near_one_step_ahead_control_of_inversely_unstable_plants"><img alt="Research paper thumbnail of Using feedthrough for near one-step-ahead control of inversely unstable plants" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/124322800/Using_feedthrough_for_near_one_step_ahead_control_of_inversely_unstable_plants">Using feedthrough for near one-step-ahead control of inversely unstable plants</a></div><div class="wp-workCard_item"><span>IEEE Transactions on Automatic Control</span><span>, 1991</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Page 1. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 36, NO. 5, MAY 1991 ro 0 1 0 0 1 ro 0 1 If (...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Page 1. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 36, NO. 5, MAY 1991 ro 0 1 0 0 1 ro 0 1 If (a4,/ael2 + (a+,/ae), # o for all e, then, by appropriate state feedback and an input transformation, a fourth-order linear ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124322800"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124322800"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124322800; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="107159656"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/107159656/Effects_of_Climate_Change_in_Agricultural_Areas_of_Greece_Vulnerability_Assessment_Economic_Technical_Analysis_and_Adaptation_Strategies"><img alt="Research paper thumbnail of Effects of Climate Change in Agricultural Areas of Greece, Vulnerability Assessment, Economic-Technical Analysis, and Adaptation Strategies" class="work-thumbnail" src="https://attachments.academia-assets.com/105925011/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/107159656/Effects_of_Climate_Change_in_Agricultural_Areas_of_Greece_Vulnerability_Assessment_Economic_Technical_Analysis_and_Adaptation_Strategies">Effects of Climate Change in Agricultural Areas of Greece, Vulnerability Assessment, Economic-Technical Analysis, and Adaptation Strategies</a></div><div class="wp-workCard_item"><span>16th International Conference on Meteorology, Climatology and Atmospheric Physics&amp;mdash;COMECAP 2023</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This article is an open access article distributed under the terms and conditions of the Creative...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="4bd0c9c7fdcecf72b008f79097c4e237" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":105925011,"asset_id":107159656,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/105925011/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="107159656"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="107159656"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 107159656; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="100892229"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/100892229/Do_the_weather_conditions_drive_the_spread_of_COVID_19_The_Case_of_Greece"><img alt="Research paper thumbnail of Do the weather conditions drive the spread of COVID-19? The Case of Greece" class="work-thumbnail" src="https://attachments.academia-assets.com/101584755/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/100892229/Do_the_weather_conditions_drive_the_spread_of_COVID_19_The_Case_of_Greece">Do the weather conditions drive the spread of COVID-19? The Case of Greece</a></div><div class="wp-workCard_item"><span>Global NEST International Conference on Environmental Science &amp; Technology</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The new global pandemic of COVID-19 declared on March 11, 2020, by the World Health Organization,...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The new global pandemic of COVID-19 declared on March 11, 2020, by the World Health Organization, has already caused unprecedented health and socio-economic impacts, worldwide. The second wave of the COVID-19 pandemic has been sweeping the Unites States of America and Europe since late September 2020. The northern countries of Europe (Germany, France, Austria, Finland, Sweden) faced this second wave of the pandemic earlier in September 2020 against other southern countries, such as Greece, where there was a significant increase in cases in late October 2020. To understand the spread of COVID-19 in Greece, from the environmental perspective, we try to examine the effect of air temperature, humidity and wind on the emergence of COVID-19. More specifically, we concern whether warm and wet conditions have a positive effect by decreasing the number of COVID-19 cases, while on the contrary, cold and dry conditions are associated with increasing cases. We apply Pearson correlation analysis...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d39f4a87dd60869571a3df6c5fe7d404" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":101584755,"asset_id":100892229,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/101584755/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="100892229"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="100892229"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 100892229; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=100892229]").text(description); $(".js-view-count[data-work-id=100892229]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 100892229; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='100892229']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "d39f4a87dd60869571a3df6c5fe7d404" } } $('.js-work-strip[data-work-id=100892229]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":100892229,"title":"Do the weather conditions drive the spread of COVID-19? 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Abo...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Greece is an agricultural country covering approximately 13,200,000 hectares of land surface. About 25% of its total surface is classified as forests characterized by rich biodiversity and 23% as forests of shorter vegetation and lower ecological interest. Since 1955, a total of 1,500,000 hectares of forests and agricultural land have been burnt. In addition, a pronounced increasing trend in total burnt areas within the Greek territory has been observed during the same period. The mean yearly increase was estimated to be about 10,000 hectares/decade. During summer 2007, Greece experienced the worst natural hazard in its modern history. 2007 has been the worst year in the country’s fire records. 280,000 hectares (corresponding almost to 2% of Greek land surface) of forests, bush and agricultural areas (including olive groves which provide one of the main Greek exportable products) were destroyed. In addition, 64 …</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="84167585"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="84167585"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 84167585; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=84167585]").text(description); $(".js-view-count[data-work-id=84167585]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 84167585; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='84167585']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=84167585]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":84167585,"title":"Estimating present and future fire risk in Greece: links with the destructive fires of summer 2007","internal_url":"https://www.academia.edu/84167585/Estimating_present_and_future_fire_risk_in_Greece_links_with_the_destructive_fires_of_summer_2007","owner_id":28179429,"coauthors_can_edit":true,"owner":{"id":28179429,"first_name":"Athanasios","middle_initials":"D","last_name":"Sarantopoulos","page_name":"AthanasiosSarantopoulos","domain_name":"webster","created_at":"2015-03-20T00:06:48.125-07:00","display_name":"Athanasios D Sarantopoulos","url":"https://webster.academia.edu/AthanasiosSarantopoulos"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82917080"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82917080/Do_the_weather_conditions_drive_the_spread_of_COVID_19_The_Case_of_Greece"><img alt="Research paper thumbnail of Do the weather conditions drive the spread of COVID-19? The Case of Greece" class="work-thumbnail" src="https://attachments.academia-assets.com/88457332/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82917080/Do_the_weather_conditions_drive_the_spread_of_COVID_19_The_Case_of_Greece">Do the weather conditions drive the spread of COVID-19? The Case of Greece</a></div><div class="wp-workCard_item"><span>CEST 2021</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The new global pandemic of COVID-19 declared on March 11, 2020, by the World Health Organization,...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The new global pandemic of COVID-19 declared on March 11, 2020, by the World Health Organization, has already caused unprecedented health and socioeconomic impacts, worldwide. The second wave of the COVID-19 pandemic has been sweeping the Unites States of America and Europe since late September 2020. The northern countries of Europe (Germany, France, Austria, Finland, Sweden) faced this second wave of the pandemic earlier in September 2020 against other southern countries, such as Greece, where there was a significant increase in cases in late October 2020. To understand the spread of COVID-19 in Greece, from the environmental perspective, we try to examine the effect of air temperature, humidity and wind on the emergence of COVID-19. More specifically, we concern whether warm and wet conditions have a positive effect by decreasing the number of COVID-19 cases, while on the contrary, cold and dry conditions are associated with increasing cases. We apply Pearson correlation analysis and Generalized Linear Models taking as dependent variable the confirmed admissions in intensive care units (ICU) of COVID-19 from the National Public Health Organization and the corresponding air temperature, humidity and wind speed from the Hellenic National Meteorological Service, as independent variables. The analysis concerns Athens and Thessaloniki, the two largest cities in Greece.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="677b67bcc431be0612afb57d7b3205df" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88457332,"asset_id":82917080,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88457332/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82917080"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82917080"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82917080; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82917080]").text(description); $(".js-view-count[data-work-id=82917080]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82917080; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82917080']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "677b67bcc431be0612afb57d7b3205df" } } $('.js-work-strip[data-work-id=82917080]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82917080,"title":"Do the weather conditions drive the spread of COVID-19? 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Sunshine duration (SDU) has been proven a useful proxy when historical observations of solar radiation are missing. Long-term observations of SDU and total cloud cover (TCC) from 15 sites were used for the detection of fluctuations and dimming/brightening periods over Greece. A prominent spatial and temporal variation of SDU and TCC was found. As expected, SDU is negatively correlated with TCC, with years with positive SDU anomalies corresponding almost always to years with negative TCC anomalies. However, both variables exhibited trends of the same sign during certain periods, indicating a weakening of correlation in low frequencies. Almost all sites in the country experienced a decrease of the annual SDU until mid 1980s, and this is more pronounced in Western Greece. An ongoing increase of SDU since the mid 1980s is then observed, which at certain areas of Southeastern Greece amounts to +20 h/year. This increase is not accompanied with synchronous decrease of TCC, possibly pointing to the impact of aerosols loads on solar radiation and SDU fluctuations.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82740843"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82740843"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82740843; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82740843]").text(description); $(".js-view-count[data-work-id=82740843]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82740843; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82740843']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=82740843]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82740843,"title":"Evidence of Dimming/Brightening Over Greece from Long-Term Observations of Sunshine Duration and Cloud Cover","internal_url":"https://www.academia.edu/82740843/Evidence_of_Dimming_Brightening_Over_Greece_from_Long_Term_Observations_of_Sunshine_Duration_and_Cloud_Cover","owner_id":28179429,"coauthors_can_edit":true,"owner":{"id":28179429,"first_name":"Athanasios","middle_initials":"D","last_name":"Sarantopoulos","page_name":"AthanasiosSarantopoulos","domain_name":"webster","created_at":"2015-03-20T00:06:48.125-07:00","display_name":"Athanasios D Sarantopoulos","url":"https://webster.academia.edu/AthanasiosSarantopoulos"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82740839"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82740839/Maximum_Rain_Rate_Evaluations_in_Aegean_Archipelagos_Hellas_for_Rain_Attenuation_Modeling_at_Microwave_Frequencies"><img alt="Research paper thumbnail of Maximum Rain-Rate Evaluations in Aegean Archipelagos Hellas for Rain Attenuation Modeling at Microwave Frequencies" class="work-thumbnail" src="https://attachments.academia-assets.com/88348337/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82740839/Maximum_Rain_Rate_Evaluations_in_Aegean_Archipelagos_Hellas_for_Rain_Attenuation_Modeling_at_Microwave_Frequencies">Maximum Rain-Rate Evaluations in Aegean Archipelagos Hellas for Rain Attenuation Modeling at Microwave Frequencies</a></div><div class="wp-workCard_item"><span>TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation</span><span>, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">By utilizing meteorological data such as relative humidity, temperature, pressure, rain rate and ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">By utilizing meteorological data such as relative humidity, temperature, pressure, rain rate and precipitation duration at eight (8) stations in Aegean Archipelagos from six recent years (2007 -2012), the effect of the weather on Electromagnetic wave propagation is studied. The EM wave propagation characteristics depend on atmospheric refractivity and consequently on Rain-Rate which vary in time and space randomly. Therefore the statistics of radio refractivity, Rain-Rate and related propagation effects are of main interest. This work investigates the maximum value of rain rate in monthly rainfall records, for a 5 min interval comparing it with different values of integration time as well as different percentages of time. The main goal is to determine the attenuation level for microwave links based on local rainfall data for various sites in Greece (L-zone), namely Aegean Archipelagos, with a view on improved accuracy as compared with more generic zone data available. A measurement of rain attenuation for a link in the S-band has been carried out and the data compared with prediction based on the standard ITU-R method.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d23f656b043dd5b87653526137df353e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88348337,"asset_id":82740839,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88348337/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82740839"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82740839"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82740839; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82740839]").text(description); $(".js-view-count[data-work-id=82740839]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82740839; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82740839']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "d23f656b043dd5b87653526137df353e" } } $('.js-work-strip[data-work-id=82740839]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82740839,"title":"Maximum Rain-Rate Evaluations in Aegean Archipelagos Hellas for Rain Attenuation Modeling at Microwave Frequencies","internal_url":"https://www.academia.edu/82740839/Maximum_Rain_Rate_Evaluations_in_Aegean_Archipelagos_Hellas_for_Rain_Attenuation_Modeling_at_Microwave_Frequencies","owner_id":28179429,"coauthors_can_edit":true,"owner":{"id":28179429,"first_name":"Athanasios","middle_initials":"D","last_name":"Sarantopoulos","page_name":"AthanasiosSarantopoulos","domain_name":"webster","created_at":"2015-03-20T00:06:48.125-07:00","display_name":"Athanasios D Sarantopoulos","url":"https://webster.academia.edu/AthanasiosSarantopoulos"},"attachments":[{"id":88348337,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88348337/thumbnails/1.jpg","file_name":"4b259f35dea55b58bd3f208f24ae9301851e.pdf","download_url":"https://www.academia.edu/attachments/88348337/download_file","bulk_download_file_name":"Maximum_Rain_Rate_Evaluations_in_Aegean.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88348337/4b259f35dea55b58bd3f208f24ae9301851e-libre.pdf?1657296002=\u0026response-content-disposition=attachment%3B+filename%3DMaximum_Rain_Rate_Evaluations_in_Aegean.pdf\u0026Expires=1740879194\u0026Signature=CwCGnetwpUgYmHRjTQgI95VkUwn5Uzqe9y8GLj2MeD133LL7SgcSN5E2yBc8P8RILdeKuw4ggtcBvK-gdqE01eamZMeTeqvDC3gXHUIjT0qWmSQCRhSENkgWthF1F8dffdDgOr0HLUngSMeiAgIAAakDlYNKostIdL79KkE0AtIQMn1KeCpXUeEjOqEfyChopqCmKXNXJo9sct7WWLD-z0VuhNgpTSbGtJHeTfIw8OhD769AulhAapzoulAWeXYZfGVb3e9DXnR9iam5ugg9BezIIFhCfXT6szHUWZKqGaeULSSGcarA0K8y3WyySDjXNiJCcHiKNb0YvtwDUeqF3w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82740836"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/82740836/A_First_Comparative_Analysis_of_Temperature_Data_Collected_from_Automatic_and_Conventional_Weather_Stations_in_Greece"><img alt="Research paper thumbnail of A First Comparative Analysis of Temperature Data Collected from Automatic and Conventional Weather Stations in Greece" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/82740836/A_First_Comparative_Analysis_of_Temperature_Data_Collected_from_Automatic_and_Conventional_Weather_Stations_in_Greece">A First Comparative Analysis of Temperature Data Collected from Automatic and Conventional Weather Stations in Greece</a></div><div class="wp-workCard_item"><span>Advances in Meteorology, Climatology and Atmospheric Physics</span><span>, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A new automatic system of meteorological observations has become operational at Hellenic National...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A new automatic system of meteorological observations has become operational at Hellenic National Meteorological Service. This new system attempts to overcome the problems of shortage of personnel and limited budget in recent years. The data collected from both systems of observation are analysed to detect any differences between them, understand these better, and perform any necessary adjustments. These differences may become important in evaluating normal values, developing homogenized data and examining climate variability and change. A first analysis of common temperature synoptic data collected from 11 Meteorological Stations is analyzed, for a period of 18 months. Dry, minimum, and maximum temperatures are studied. Results show that, in most cases, there is a very good correlation for all parameters; however, there are significant biases between corresponding values of new Automatic Weather Stations (AWS) and the Conventional Weather Stations (CWS).</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82740836"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82740836"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82740836; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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</script> <div class="js-work-strip profile--work_container" data-work-id="82740834"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82740834/The_Summer_North_Atlantic_Oscillation_Influence_on_the_Eastern_Mediterranean"><img alt="Research paper thumbnail of The Summer North Atlantic Oscillation Influence on the Eastern Mediterranean" class="work-thumbnail" src="https://attachments.academia-assets.com/88348331/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82740834/The_Summer_North_Atlantic_Oscillation_Influence_on_the_Eastern_Mediterranean">The Summer North Atlantic Oscillation Influence on the Eastern Mediterranean</a></div><div class="wp-workCard_item"><span>Journal of Climate</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This study highlights an important and previously overlooked summer North Atlantic Oscillation (N...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This study highlights an important and previously overlooked summer North Atlantic Oscillation (NAO) influence over the eastern Mediterranean. The featured analysis is based on a synergistic use of reanalysis data, satellite retrievals, and coastal and buoy meteorological observations. The physical mechanisms at play reveal a strong summer NAO involvement on the pressure fields over northern Europe and the Anatolian plateau. Especially during August, the summer NAO modulates the Anatolian low, together with the air temperature, meridional atmospheric circulation, and cloudiness over the eastern Mediterranean. Including the dominant action centers over Greenland and the Arctic, the identified modulations rank among the strongest summer NAO-related signals over the entire Northern Hemisphere.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="23529a3338d444dfc6e16fb61f6a28d7" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88348331,"asset_id":82740834,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88348331/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82740834"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82740834"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82740834; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82740833"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82740833/Tourism_climatology_and_tourism_potential_for_Crete_Greece"><img alt="Research paper thumbnail of Tourism climatology and tourism potential for Crete, Greece" class="work-thumbnail" src="https://attachments.academia-assets.com/88348329/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82740833/Tourism_climatology_and_tourism_potential_for_Crete_Greece">Tourism climatology and tourism potential for Crete, Greece</a></div><div class="wp-workCard_item"><span>Annalen der …</span><span>, 2005</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Crete, the biggest island of Greece, located in the east Mediterranean, is the most frequently vi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Crete, the biggest island of Greece, located in the east Mediterranean, is the most frequently visited Greek island by foreign visitors (about 2 millions people) throughout the year. Tourism represents a major economic factor for Crete. Crete is the greatest tourism destination in ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a321c85467b56a8ca101a2b9992c23fc" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88348329,"asset_id":82740833,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88348329/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82740833"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82740833"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82740833; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82740833]").text(description); $(".js-view-count[data-work-id=82740833]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82740833; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82740833']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="42004359"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/42004359/Maximum_Rain_Rate_Evaluations_in_Aegean_Archipelagos_Hellas_for_Rain_Attenuation_Modeling_at_Microwave_Frequencies"><img alt="Research paper thumbnail of Maximum Rain-Rate Evaluations in Aegean Archipelagos Hellas for Rain Attenuation Modeling at Microwave Frequencies" class="work-thumbnail" src="https://attachments.academia-assets.com/62128971/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/42004359/Maximum_Rain_Rate_Evaluations_in_Aegean_Archipelagos_Hellas_for_Rain_Attenuation_Modeling_at_Microwave_Frequencies">Maximum Rain-Rate Evaluations in Aegean Archipelagos Hellas for Rain Attenuation Modeling at Microwave Frequencies</a></div><div class="wp-workCard_item"><span>TransNav the International Journal on Marine Navigation and Safety of Sea Transportation</span><span>, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">By utilizing meteorological data such as relative humidity, temperature, pressure, rain rate and ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">By utilizing meteorological data such as relative humidity, temperature, pressure, rain rate and precipitation duration at eight (8) stations in Aegean Archipelagos from six recent years (2007 – 2012), the effect of the weather on Electromagnetic wave propagation is studied. The EM wave propagation characteristics depend on atmospheric refractivity and consequently on Rain-Rate which vary in time and space randomly.<br />Therefore the statistics of radio refractivity, Rain‐Rate and related propagation effects are of main interest. This work investigates the maximum value of rain rate in monthly rainfall records, for a 5 min interval comparing it with different values of integration time as well as different percentages of time. The main goal is to determine the attenuation level for microwave links based on local rainfall data for various sites in Greece (L-zone), namely Aegean Archipelagos, with a view on improved accuracy as compared with more generic zone data available. A measurement of rain attenuation for a link in the S-band has been carried out and the data compared with prediction based on the standard ITU-R method.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7cdeed826108fcf322b74a5e0c9ac7af" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":62128971,"asset_id":42004359,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/62128971/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="42004359"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="42004359"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 42004359; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="42004198"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/42004198/The_Summer_North_Atlantic_Oscillation_Influence_on_the_Eastern_Mediterranean"><img alt="Research paper thumbnail of The Summer North Atlantic Oscillation Influence on the Eastern Mediterranean" class="work-thumbnail" src="https://attachments.academia-assets.com/62128758/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/42004198/The_Summer_North_Atlantic_Oscillation_Influence_on_the_Eastern_Mediterranean">The Summer North Atlantic Oscillation Influence on the Eastern Mediterranean</a></div><div class="wp-workCard_item"><span>Journal of Climate</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This study highlights an important and previously overlooked summer North Atlantic Oscillation (N...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This study highlights an important and previously overlooked summer North Atlantic Oscillation (NAO) influence over the eastern Mediterranean. The featured analysis is based on a synergistic use of reanalysis data, satellite retrievals, and coastal and buoy meteorological observations. The physical mechanisms at play reveal a strong summer NAO involvement on the pressure fields over northern Europe and the Anatolian plateau. Especially during August, the summer NAO modulates the Anatolian low, together with the air temperature, meridional atmospheric circulation, and cloudiness over the eastern Mediterranean. Including the dominant action centers over Greenland and the Arctic, the identified modulations rank among the strongest summer NAO-related signals over the entire Northern Hemisphere.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="001e4495523daf22cb0a0084cfd8ad8a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":62128758,"asset_id":42004198,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/62128758/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="42004198"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="42004198"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 42004198; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="22149589"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/22149589/Tourism_climatology_and_tourism_potential_for_Crete_Greece"><img alt="Research paper thumbnail of Tourism climatology and tourism potential for Crete, Greece" class="work-thumbnail" src="https://attachments.academia-assets.com/42812710/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/22149589/Tourism_climatology_and_tourism_potential_for_Crete_Greece">Tourism climatology and tourism potential for Crete, Greece</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://webster.academia.edu/AthanasiosSarantopoulos">Athanasios D Sarantopoulos</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://uni-freiburg.academia.edu/AMatzarakis">Andreas Matzarakis</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/NKaratarakis">N. Karatarakis</a></span></div><div class="wp-workCard_item"><span>Annalen der …</span><span>, 2005</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Crete, the biggest island of Greece, located in the east Mediterranean, is the most frequently vi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Crete, the biggest island of Greece, located in the east Mediterranean, is the most frequently visited Greek island by foreign visitors (about 2 millions people) throughout the year. Tourism represents a major economic factor for Crete. Crete is the greatest tourism destination in ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="cc9cda2b6008e6b12a66f41e630a38cd" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42812710,"asset_id":22149589,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42812710/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="22149589"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="22149589"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 22149589; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="17592888"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/17592888/A_First_Comparative_Analysis_of_Temperature_Data_Collected_from_Automatic_and_Conventional_Weather_Stations_in_Greece"><img alt="Research paper thumbnail of A First Comparative Analysis of Temperature Data Collected from Automatic and Conventional Weather Stations in Greece" class="work-thumbnail" src="https://attachments.academia-assets.com/49395933/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/17592888/A_First_Comparative_Analysis_of_Temperature_Data_Collected_from_Automatic_and_Conventional_Weather_Stations_in_Greece">A First Comparative Analysis of Temperature Data Collected from Automatic and Conventional Weather Stations in Greece</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/NKaratarakis">N. Karatarakis</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://webster.academia.edu/AthanasiosSarantopoulos">Athanasios D Sarantopoulos</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://uoa.academia.edu/KonstantinosLianos">Konstantinos Lianos</a></span></div><div class="wp-workCard_item"><span>Springer Atmospheric Sciences</span><span>, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A new automatic system of meteorological observations has become operational at Hellenic National...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A new automatic system of meteorological observations has become operational at Hellenic National Meteorological Service. This new system attempts to overcome the problems of shortage of personnel and limited budget in recent years. Τhe data collected from both systems of observation are analysed to detect any differences between them, understand these better, and perform any necessary adjustments. These differences may become important in evaluating normal values, developing homogenized data and examining climate variability and change. A first analysis of common temperature synoptic data collected from 11 Meteorological Stations is analyzed, for a period of 18 months. dry, minimum, and maximum temperatures are studied. Results show that, in most cases, there is a very good correlation for all parameters; however, there are significant biases between corresponding values of new Automatic Weather Stations (AWS) and the Conventional Weather Stations (CWS).</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b3de070ef2face155ea205a156fc9e0e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":49395933,"asset_id":17592888,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/49395933/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="17592888"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="17592888"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 17592888; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=17592888]").text(description); $(".js-view-count[data-work-id=17592888]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 17592888; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='17592888']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "b3de070ef2face155ea205a156fc9e0e" } } $('.js-work-strip[data-work-id=17592888]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":17592888,"title":"A First Comparative Analysis of Temperature Data Collected from Automatic and Conventional Weather Stations in Greece","internal_url":"https://www.academia.edu/17592888/A_First_Comparative_Analysis_of_Temperature_Data_Collected_from_Automatic_and_Conventional_Weather_Stations_in_Greece","owner_id":37429025,"coauthors_can_edit":true,"owner":{"id":37429025,"first_name":"N.","middle_initials":null,"last_name":"Karatarakis","page_name":"NKaratarakis","domain_name":"independent","created_at":"2015-11-01T22:32:14.338-08:00","display_name":"N. Karatarakis","url":"https://independent.academia.edu/NKaratarakis"},"attachments":[{"id":49395933,"title":"","file_type":"doc","scribd_thumbnail_url":"https://attachments.academia-assets.com/49395933/thumbnails/1.jpg","file_name":"RefNo164_Karatarakis_final.doc","download_url":"https://www.academia.edu/attachments/49395933/download_file","bulk_download_file_name":"A_First_Comparative_Analysis_of_Temperat.doc","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/49395933/RefNo164_Karatarakis_final.doc?1738347044=\u0026response-content-disposition=attachment%3B+filename%3DA_First_Comparative_Analysis_of_Temperat.doc\u0026Expires=1740855798\u0026Signature=HHcmGdnBLzjyqs6z5dnqdTGcEYpxWR9DR8sOYLX~xfdOctKmWt-dAQCgl1ujUeFUH0GGjej1JIqXvkfqqcNWWa9rN8rb3aRtLy88QngeqGnSq~-pWGGEat9uRHlYxv1f8ypuLvyb9uzYRttlQiuuSKK2mcZmC1Siw0mHUVb0mEsaPgKUKlzXVTaPdplFGohJxicEmCmW2ZNBaXUbkudZvvQ~-DioIBn8i2pTl5tYdNG0prKnAc6RpJfvuY8Ax87nS2tn66bPLkpQxiZK729dzlMEFsA7u4VpUdHxQ72uMKIp7zaoRv6tVtlfOtxI2vo46B6SW9BVk2YfQyOQa0sVTA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="profile--tab_heading_container js-section-heading" data-section="Conference Presentations" id="Conference Presentations"><h3 class="profile--tab_heading_container">Conference Presentations by Athanasios D Sarantopoulos</h3></div><div class="js-work-strip profile--work_container" data-work-id="42732454"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/42732454/Evidence_of_dimming_brightening_over_Greece_from_long_term_observations_of_sunshine_duration_and_cloud_cover"><img alt="Research paper thumbnail of Evidence of dimming/brightening over Greece from long-term observations of sunshine duration and cloud cover" class="work-thumbnail" src="https://attachments.academia-assets.com/62949900/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/42732454/Evidence_of_dimming_brightening_over_Greece_from_long_term_observations_of_sunshine_duration_and_cloud_cover">Evidence of dimming/brightening over Greece from long-term observations of sunshine duration and cloud cover</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://webster.academia.edu/AthanasiosSarantopoulos">Athanasios D Sarantopoulos</a> and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/FrangiskosPierros">Frangiskos Pierros</a></span></div><div class="wp-workCard_item"><span>Proceedings of COMECAP 2016 "13th International Conference on Meteorology, Climatology and Atmospheric Physics"</span><span>, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Changes in solar radiation reaching the earth and the transition from global dimming to global br...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Changes in solar radiation reaching the earth and the transition from global dimming to global brightening during 1980s, has been regarded to reflect decadal changes in anthropogenic aerosol loading. Sunshine duration (SDU) has been proven a useful proxy when historical observations of solar radiation are missing. Long-term observations of SDU and total cloud cover (TCC) from 15 sites were used for the detection of fluctuations and dimming/brightening periods over Greece. A prominent spatial and temporal variation of SDU and TCC was found. As expected, SDU is negatively correlated with TCC, with years with positive SDU anomalies corresponding almost always to years with negative TCC anomalies. However, both variables exhibited trends of the same sign during certain periods, indicating a weakening of correlation in low frequencies. Almost all sites in the country experienced a decrease of the annual SDU until mid 1980's, and this is more pronounced in Western Greece. An ongoing increase of SDU since the mid 1980's is then observed, which at certain areas of Southeastern Greece amounts to +20hours/ year. This increase is not accompanied with synchronous decrease of TCC, possibly pointing to the impact of aerosols loads on solar radiation and SDU fluctuations.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b6cc563f55718cc7dcd1d37045ea89ff" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":62949900,"asset_id":42732454,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/62949900/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="42732454"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="42732454"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 42732454; 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dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "b6cc563f55718cc7dcd1d37045ea89ff" } } $('.js-work-strip[data-work-id=42732454]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":42732454,"title":"Evidence of dimming/brightening over Greece from long-term observations of sunshine duration and cloud cover","internal_url":"https://www.academia.edu/42732454/Evidence_of_dimming_brightening_over_Greece_from_long_term_observations_of_sunshine_duration_and_cloud_cover","owner_id":28179429,"coauthors_can_edit":true,"owner":{"id":28179429,"first_name":"Athanasios","middle_initials":"D","last_name":"Sarantopoulos","page_name":"AthanasiosSarantopoulos","domain_name":"webster","created_at":"2015-03-20T00:06:48.125-07:00","display_name":"Athanasios D Sarantopoulos","url":"https://webster.academia.edu/AthanasiosSarantopoulos"},"attachments":[{"id":62949900,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/62949900/thumbnails/1.jpg","file_name":"COMECAP2016_paper_21720200414-10788-hd1798.pdf","download_url":"https://www.academia.edu/attachments/62949900/download_file","bulk_download_file_name":"Evidence_of_dimming_brightening_over_Gre.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/62949900/COMECAP2016_paper_21720200414-10788-hd1798-libre.pdf?1586854615=\u0026response-content-disposition=attachment%3B+filename%3DEvidence_of_dimming_brightening_over_Gre.pdf\u0026Expires=1740879194\u0026Signature=BKsj00acVdhv8N~JVJQjx6TmjIoyroTzsFySp3Epq7P8BAz0x3JfkFAt8xoVrsTTNu1GBPC~3Fzj7NAkPRIfYWB9uBF8V7vfplBS2mRlaEkecrxZzIrvSChu86e~w3bpDGaKb2Ojk1xlrkcmS09Vl9HIAA1zBEtdpAF4dCeZhed8niY-nvMqo5x52eVJ~GBIfPT-84f8qBIEipt0HLY6E40vzHHX14L9FPa9LGoGIYElTMcpkAazXjqbBD7ReSNeAy213ogTJd630myPQttxvZwabJFEdRgEmnavItMHCYAem2Yi2QFPysAg8tZk-vPWsNQYjnj1VI73UreH5lNolQ__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> </div><div class="profile--tab_content_container js-tab-pane tab-pane" data-section-id="3850509" id="papers"><div class="js-work-strip profile--work_container" data-work-id="125050956"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/125050956/Modeling_of_linear_isentropic_flow_systems"><img alt="Research paper thumbnail of Modeling of linear isentropic flow systems" class="work-thumbnail" src="https://attachments.academia-assets.com/119164232/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/125050956/Modeling_of_linear_isentropic_flow_systems">Modeling of linear isentropic flow systems</a></div><div class="wp-workCard_item"><span>IEEE International Conference on Systems Engineering</span><span>, 1991</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A modeling approach for linear isentropic flow systems based on the quasi-one dimensional Euler e...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A modeling approach for linear isentropic flow systems based on the quasi-one dimensional Euler equations of non-viscous, compressible flow is presented. Such systems are representative of certain high speed propulsion systems. Accurate models useful in control system studies are developed. A supersonic inlet is considered and the resulting set of partial differential equations with boundary conditions is solved for a linear transfer matrix using Laplace transforms.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="374ae06ad6d890905e1c388cfdef1fe2" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":119164232,"asset_id":125050956,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/119164232/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="125050956"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="125050956"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 125050956; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="124687925"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/124687925/Tracking_design_for_a_gust_alleviation_control_system_for_aircraft"><img alt="Research paper thumbnail of Tracking design for a gust-alleviation control system for aircraft" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/124687925/Tracking_design_for_a_gust_alleviation_control_system_for_aircraft">Tracking design for a gust-alleviation control system for aircraft</a></div><div class="wp-workCard_item"><span>IEEE International Conference on Systems Engineering</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A tracking capability design is proposed for the gust-alleviation control system for aircraft of ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A tracking capability design is proposed for the gust-alleviation control system for aircraft of D. McLean (Proc. Inst. Elec. Eng., vol.125, p.675-685, July 1978). The mathematical model, a 27th-order linearized model, describes the small perturbation motion of a rigid aircraft about its equilibrium. The system is decoupled into two independent subsystems: a 15th-order model describing the lateral motion and a</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124687925"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124687925"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124687925; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=124687925]").text(description); $(".js-view-count[data-work-id=124687925]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 124687925; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='124687925']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=124687925]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":124687925,"title":"Tracking design for a gust-alleviation control system for aircraft","internal_url":"https://www.academia.edu/124687925/Tracking_design_for_a_gust_alleviation_control_system_for_aircraft","owner_id":28179429,"coauthors_can_edit":true,"owner":{"id":28179429,"first_name":"Athanasios","middle_initials":"D","last_name":"Sarantopoulos","page_name":"AthanasiosSarantopoulos","domain_name":"webster","created_at":"2015-03-20T00:06:48.125-07:00","display_name":"Athanasios D Sarantopoulos","url":"https://webster.academia.edu/AthanasiosSarantopoulos"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="124322800"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/124322800/Using_feedthrough_for_near_one_step_ahead_control_of_inversely_unstable_plants"><img alt="Research paper thumbnail of Using feedthrough for near one-step-ahead control of inversely unstable plants" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/124322800/Using_feedthrough_for_near_one_step_ahead_control_of_inversely_unstable_plants">Using feedthrough for near one-step-ahead control of inversely unstable plants</a></div><div class="wp-workCard_item"><span>IEEE Transactions on Automatic Control</span><span>, 1991</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Page 1. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 36, NO. 5, MAY 1991 ro 0 1 0 0 1 ro 0 1 If (...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Page 1. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 36, NO. 5, MAY 1991 ro 0 1 0 0 1 ro 0 1 If (a4,/ael2 + (a+,/ae), # o for all e, then, by appropriate state feedback and an input transformation, a fourth-order linear ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="124322800"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="124322800"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 124322800; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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} }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="116921493"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/116921493/Temporal_and_spatial_variation_of_sunshine_hours_over_Greece_and_detection_of_dimming_brightening_periods"><img alt="Research paper thumbnail of Temporal and spatial variation of sunshine hours over Greece and detection of dimming/brightening periods" class="work-thumbnail" src="https://attachments.academia-assets.com/112916977/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/116921493/Temporal_and_spatial_variation_of_sunshine_hours_over_Greece_and_detection_of_dimming_brightening_periods">Temporal and spatial variation of sunshine hours over Greece and detection of dimming/brightening periods</a></div><div class="wp-workCard_item"><span>EGU General Assembly Conference Abstracts</span><span>, Apr 1, 2015</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="58d422c03a16b26d81f7df973f64c558" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":112916977,"asset_id":116921493,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/112916977/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116921493"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116921493"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116921493; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="100892229"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/100892229/Do_the_weather_conditions_drive_the_spread_of_COVID_19_The_Case_of_Greece"><img alt="Research paper thumbnail of Do the weather conditions drive the spread of COVID-19? The Case of Greece" class="work-thumbnail" src="https://attachments.academia-assets.com/101584755/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/100892229/Do_the_weather_conditions_drive_the_spread_of_COVID_19_The_Case_of_Greece">Do the weather conditions drive the spread of COVID-19? The Case of Greece</a></div><div class="wp-workCard_item"><span>Global NEST International Conference on Environmental Science &amp; Technology</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The new global pandemic of COVID-19 declared on March 11, 2020, by the World Health Organization,...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The new global pandemic of COVID-19 declared on March 11, 2020, by the World Health Organization, has already caused unprecedented health and socio-economic impacts, worldwide. The second wave of the COVID-19 pandemic has been sweeping the Unites States of America and Europe since late September 2020. The northern countries of Europe (Germany, France, Austria, Finland, Sweden) faced this second wave of the pandemic earlier in September 2020 against other southern countries, such as Greece, where there was a significant increase in cases in late October 2020. To understand the spread of COVID-19 in Greece, from the environmental perspective, we try to examine the effect of air temperature, humidity and wind on the emergence of COVID-19. More specifically, we concern whether warm and wet conditions have a positive effect by decreasing the number of COVID-19 cases, while on the contrary, cold and dry conditions are associated with increasing cases. We apply Pearson correlation analysis...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d39f4a87dd60869571a3df6c5fe7d404" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":101584755,"asset_id":100892229,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/101584755/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="100892229"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="100892229"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 100892229; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=100892229]").text(description); $(".js-view-count[data-work-id=100892229]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 100892229; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='100892229']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "d39f4a87dd60869571a3df6c5fe7d404" } } $('.js-work-strip[data-work-id=100892229]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":100892229,"title":"Do the weather conditions drive the spread of COVID-19? 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Abo...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Greece is an agricultural country covering approximately 13,200,000 hectares of land surface. About 25% of its total surface is classified as forests characterized by rich biodiversity and 23% as forests of shorter vegetation and lower ecological interest. Since 1955, a total of 1,500,000 hectares of forests and agricultural land have been burnt. In addition, a pronounced increasing trend in total burnt areas within the Greek territory has been observed during the same period. The mean yearly increase was estimated to be about 10,000 hectares/decade. During summer 2007, Greece experienced the worst natural hazard in its modern history. 2007 has been the worst year in the country’s fire records. 280,000 hectares (corresponding almost to 2% of Greek land surface) of forests, bush and agricultural areas (including olive groves which provide one of the main Greek exportable products) were destroyed. In addition, 64 …</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="84167585"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="84167585"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 84167585; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=84167585]").text(description); $(".js-view-count[data-work-id=84167585]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 84167585; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='84167585']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=84167585]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":84167585,"title":"Estimating present and future fire risk in Greece: links with the destructive fires of summer 2007","internal_url":"https://www.academia.edu/84167585/Estimating_present_and_future_fire_risk_in_Greece_links_with_the_destructive_fires_of_summer_2007","owner_id":28179429,"coauthors_can_edit":true,"owner":{"id":28179429,"first_name":"Athanasios","middle_initials":"D","last_name":"Sarantopoulos","page_name":"AthanasiosSarantopoulos","domain_name":"webster","created_at":"2015-03-20T00:06:48.125-07:00","display_name":"Athanasios D Sarantopoulos","url":"https://webster.academia.edu/AthanasiosSarantopoulos"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82917080"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82917080/Do_the_weather_conditions_drive_the_spread_of_COVID_19_The_Case_of_Greece"><img alt="Research paper thumbnail of Do the weather conditions drive the spread of COVID-19? The Case of Greece" class="work-thumbnail" src="https://attachments.academia-assets.com/88457332/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82917080/Do_the_weather_conditions_drive_the_spread_of_COVID_19_The_Case_of_Greece">Do the weather conditions drive the spread of COVID-19? The Case of Greece</a></div><div class="wp-workCard_item"><span>CEST 2021</span><span>, 2021</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The new global pandemic of COVID-19 declared on March 11, 2020, by the World Health Organization,...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The new global pandemic of COVID-19 declared on March 11, 2020, by the World Health Organization, has already caused unprecedented health and socioeconomic impacts, worldwide. The second wave of the COVID-19 pandemic has been sweeping the Unites States of America and Europe since late September 2020. The northern countries of Europe (Germany, France, Austria, Finland, Sweden) faced this second wave of the pandemic earlier in September 2020 against other southern countries, such as Greece, where there was a significant increase in cases in late October 2020. To understand the spread of COVID-19 in Greece, from the environmental perspective, we try to examine the effect of air temperature, humidity and wind on the emergence of COVID-19. More specifically, we concern whether warm and wet conditions have a positive effect by decreasing the number of COVID-19 cases, while on the contrary, cold and dry conditions are associated with increasing cases. We apply Pearson correlation analysis and Generalized Linear Models taking as dependent variable the confirmed admissions in intensive care units (ICU) of COVID-19 from the National Public Health Organization and the corresponding air temperature, humidity and wind speed from the Hellenic National Meteorological Service, as independent variables. The analysis concerns Athens and Thessaloniki, the two largest cities in Greece.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="677b67bcc431be0612afb57d7b3205df" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88457332,"asset_id":82917080,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88457332/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82917080"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82917080"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82917080; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82917080]").text(description); $(".js-view-count[data-work-id=82917080]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82917080; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82917080']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "677b67bcc431be0612afb57d7b3205df" } } $('.js-work-strip[data-work-id=82917080]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82917080,"title":"Do the weather conditions drive the spread of COVID-19? 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Sunshine duration (SDU) has been proven a useful proxy when historical observations of solar radiation are missing. Long-term observations of SDU and total cloud cover (TCC) from 15 sites were used for the detection of fluctuations and dimming/brightening periods over Greece. A prominent spatial and temporal variation of SDU and TCC was found. As expected, SDU is negatively correlated with TCC, with years with positive SDU anomalies corresponding almost always to years with negative TCC anomalies. However, both variables exhibited trends of the same sign during certain periods, indicating a weakening of correlation in low frequencies. Almost all sites in the country experienced a decrease of the annual SDU until mid 1980s, and this is more pronounced in Western Greece. An ongoing increase of SDU since the mid 1980s is then observed, which at certain areas of Southeastern Greece amounts to +20 h/year. This increase is not accompanied with synchronous decrease of TCC, possibly pointing to the impact of aerosols loads on solar radiation and SDU fluctuations.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82740843"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82740843"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82740843; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82740843]").text(description); $(".js-view-count[data-work-id=82740843]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82740843; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82740843']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=82740843]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82740843,"title":"Evidence of Dimming/Brightening Over Greece from Long-Term Observations of Sunshine Duration and Cloud Cover","internal_url":"https://www.academia.edu/82740843/Evidence_of_Dimming_Brightening_Over_Greece_from_Long_Term_Observations_of_Sunshine_Duration_and_Cloud_Cover","owner_id":28179429,"coauthors_can_edit":true,"owner":{"id":28179429,"first_name":"Athanasios","middle_initials":"D","last_name":"Sarantopoulos","page_name":"AthanasiosSarantopoulos","domain_name":"webster","created_at":"2015-03-20T00:06:48.125-07:00","display_name":"Athanasios D Sarantopoulos","url":"https://webster.academia.edu/AthanasiosSarantopoulos"},"attachments":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82740839"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82740839/Maximum_Rain_Rate_Evaluations_in_Aegean_Archipelagos_Hellas_for_Rain_Attenuation_Modeling_at_Microwave_Frequencies"><img alt="Research paper thumbnail of Maximum Rain-Rate Evaluations in Aegean Archipelagos Hellas for Rain Attenuation Modeling at Microwave Frequencies" class="work-thumbnail" src="https://attachments.academia-assets.com/88348337/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82740839/Maximum_Rain_Rate_Evaluations_in_Aegean_Archipelagos_Hellas_for_Rain_Attenuation_Modeling_at_Microwave_Frequencies">Maximum Rain-Rate Evaluations in Aegean Archipelagos Hellas for Rain Attenuation Modeling at Microwave Frequencies</a></div><div class="wp-workCard_item"><span>TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation</span><span>, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">By utilizing meteorological data such as relative humidity, temperature, pressure, rain rate and ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">By utilizing meteorological data such as relative humidity, temperature, pressure, rain rate and precipitation duration at eight (8) stations in Aegean Archipelagos from six recent years (2007 -2012), the effect of the weather on Electromagnetic wave propagation is studied. The EM wave propagation characteristics depend on atmospheric refractivity and consequently on Rain-Rate which vary in time and space randomly. Therefore the statistics of radio refractivity, Rain-Rate and related propagation effects are of main interest. This work investigates the maximum value of rain rate in monthly rainfall records, for a 5 min interval comparing it with different values of integration time as well as different percentages of time. The main goal is to determine the attenuation level for microwave links based on local rainfall data for various sites in Greece (L-zone), namely Aegean Archipelagos, with a view on improved accuracy as compared with more generic zone data available. A measurement of rain attenuation for a link in the S-band has been carried out and the data compared with prediction based on the standard ITU-R method.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="d23f656b043dd5b87653526137df353e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88348337,"asset_id":82740839,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88348337/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82740839"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82740839"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82740839; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82740839]").text(description); $(".js-view-count[data-work-id=82740839]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82740839; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82740839']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "d23f656b043dd5b87653526137df353e" } } $('.js-work-strip[data-work-id=82740839]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82740839,"title":"Maximum Rain-Rate Evaluations in Aegean Archipelagos Hellas for Rain Attenuation Modeling at Microwave Frequencies","internal_url":"https://www.academia.edu/82740839/Maximum_Rain_Rate_Evaluations_in_Aegean_Archipelagos_Hellas_for_Rain_Attenuation_Modeling_at_Microwave_Frequencies","owner_id":28179429,"coauthors_can_edit":true,"owner":{"id":28179429,"first_name":"Athanasios","middle_initials":"D","last_name":"Sarantopoulos","page_name":"AthanasiosSarantopoulos","domain_name":"webster","created_at":"2015-03-20T00:06:48.125-07:00","display_name":"Athanasios D Sarantopoulos","url":"https://webster.academia.edu/AthanasiosSarantopoulos"},"attachments":[{"id":88348337,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/88348337/thumbnails/1.jpg","file_name":"4b259f35dea55b58bd3f208f24ae9301851e.pdf","download_url":"https://www.academia.edu/attachments/88348337/download_file","bulk_download_file_name":"Maximum_Rain_Rate_Evaluations_in_Aegean.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/88348337/4b259f35dea55b58bd3f208f24ae9301851e-libre.pdf?1657296002=\u0026response-content-disposition=attachment%3B+filename%3DMaximum_Rain_Rate_Evaluations_in_Aegean.pdf\u0026Expires=1740879194\u0026Signature=CwCGnetwpUgYmHRjTQgI95VkUwn5Uzqe9y8GLj2MeD133LL7SgcSN5E2yBc8P8RILdeKuw4ggtcBvK-gdqE01eamZMeTeqvDC3gXHUIjT0qWmSQCRhSENkgWthF1F8dffdDgOr0HLUngSMeiAgIAAakDlYNKostIdL79KkE0AtIQMn1KeCpXUeEjOqEfyChopqCmKXNXJo9sct7WWLD-z0VuhNgpTSbGtJHeTfIw8OhD769AulhAapzoulAWeXYZfGVb3e9DXnR9iam5ugg9BezIIFhCfXT6szHUWZKqGaeULSSGcarA0K8y3WyySDjXNiJCcHiKNb0YvtwDUeqF3w__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82740836"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/82740836/A_First_Comparative_Analysis_of_Temperature_Data_Collected_from_Automatic_and_Conventional_Weather_Stations_in_Greece"><img alt="Research paper thumbnail of A First Comparative Analysis of Temperature Data Collected from Automatic and Conventional Weather Stations in Greece" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/82740836/A_First_Comparative_Analysis_of_Temperature_Data_Collected_from_Automatic_and_Conventional_Weather_Stations_in_Greece">A First Comparative Analysis of Temperature Data Collected from Automatic and Conventional Weather Stations in Greece</a></div><div class="wp-workCard_item"><span>Advances in Meteorology, Climatology and Atmospheric Physics</span><span>, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A new automatic system of meteorological observations has become operational at Hellenic National...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A new automatic system of meteorological observations has become operational at Hellenic National Meteorological Service. This new system attempts to overcome the problems of shortage of personnel and limited budget in recent years. The data collected from both systems of observation are analysed to detect any differences between them, understand these better, and perform any necessary adjustments. These differences may become important in evaluating normal values, developing homogenized data and examining climate variability and change. A first analysis of common temperature synoptic data collected from 11 Meteorological Stations is analyzed, for a period of 18 months. Dry, minimum, and maximum temperatures are studied. Results show that, in most cases, there is a very good correlation for all parameters; however, there are significant biases between corresponding values of new Automatic Weather Stations (AWS) and the Conventional Weather Stations (CWS).</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82740836"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82740836"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82740836; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); 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</script> <div class="js-work-strip profile--work_container" data-work-id="82740834"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82740834/The_Summer_North_Atlantic_Oscillation_Influence_on_the_Eastern_Mediterranean"><img alt="Research paper thumbnail of The Summer North Atlantic Oscillation Influence on the Eastern Mediterranean" class="work-thumbnail" src="https://attachments.academia-assets.com/88348331/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82740834/The_Summer_North_Atlantic_Oscillation_Influence_on_the_Eastern_Mediterranean">The Summer North Atlantic Oscillation Influence on the Eastern Mediterranean</a></div><div class="wp-workCard_item"><span>Journal of Climate</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This study highlights an important and previously overlooked summer North Atlantic Oscillation (N...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This study highlights an important and previously overlooked summer North Atlantic Oscillation (NAO) influence over the eastern Mediterranean. The featured analysis is based on a synergistic use of reanalysis data, satellite retrievals, and coastal and buoy meteorological observations. The physical mechanisms at play reveal a strong summer NAO involvement on the pressure fields over northern Europe and the Anatolian plateau. Especially during August, the summer NAO modulates the Anatolian low, together with the air temperature, meridional atmospheric circulation, and cloudiness over the eastern Mediterranean. Including the dominant action centers over Greenland and the Arctic, the identified modulations rank among the strongest summer NAO-related signals over the entire Northern Hemisphere.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="23529a3338d444dfc6e16fb61f6a28d7" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88348331,"asset_id":82740834,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88348331/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82740834"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82740834"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82740834; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="82740833"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/82740833/Tourism_climatology_and_tourism_potential_for_Crete_Greece"><img alt="Research paper thumbnail of Tourism climatology and tourism potential for Crete, Greece" class="work-thumbnail" src="https://attachments.academia-assets.com/88348329/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/82740833/Tourism_climatology_and_tourism_potential_for_Crete_Greece">Tourism climatology and tourism potential for Crete, Greece</a></div><div class="wp-workCard_item"><span>Annalen der …</span><span>, 2005</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Crete, the biggest island of Greece, located in the east Mediterranean, is the most frequently vi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Crete, the biggest island of Greece, located in the east Mediterranean, is the most frequently visited Greek island by foreign visitors (about 2 millions people) throughout the year. Tourism represents a major economic factor for Crete. Crete is the greatest tourism destination in ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a321c85467b56a8ca101a2b9992c23fc" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88348329,"asset_id":82740833,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88348329/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82740833"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82740833"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82740833; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82740833]").text(description); $(".js-view-count[data-work-id=82740833]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82740833; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82740833']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="42004359"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/42004359/Maximum_Rain_Rate_Evaluations_in_Aegean_Archipelagos_Hellas_for_Rain_Attenuation_Modeling_at_Microwave_Frequencies"><img alt="Research paper thumbnail of Maximum Rain-Rate Evaluations in Aegean Archipelagos Hellas for Rain Attenuation Modeling at Microwave Frequencies" class="work-thumbnail" src="https://attachments.academia-assets.com/62128971/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/42004359/Maximum_Rain_Rate_Evaluations_in_Aegean_Archipelagos_Hellas_for_Rain_Attenuation_Modeling_at_Microwave_Frequencies">Maximum Rain-Rate Evaluations in Aegean Archipelagos Hellas for Rain Attenuation Modeling at Microwave Frequencies</a></div><div class="wp-workCard_item"><span>TransNav the International Journal on Marine Navigation and Safety of Sea Transportation</span><span>, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">By utilizing meteorological data such as relative humidity, temperature, pressure, rain rate and ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">By utilizing meteorological data such as relative humidity, temperature, pressure, rain rate and precipitation duration at eight (8) stations in Aegean Archipelagos from six recent years (2007 – 2012), the effect of the weather on Electromagnetic wave propagation is studied. The EM wave propagation characteristics depend on atmospheric refractivity and consequently on Rain-Rate which vary in time and space randomly.<br />Therefore the statistics of radio refractivity, Rain‐Rate and related propagation effects are of main interest. This work investigates the maximum value of rain rate in monthly rainfall records, for a 5 min interval comparing it with different values of integration time as well as different percentages of time. The main goal is to determine the attenuation level for microwave links based on local rainfall data for various sites in Greece (L-zone), namely Aegean Archipelagos, with a view on improved accuracy as compared with more generic zone data available. A measurement of rain attenuation for a link in the S-band has been carried out and the data compared with prediction based on the standard ITU-R method.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7cdeed826108fcf322b74a5e0c9ac7af" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":62128971,"asset_id":42004359,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/62128971/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="42004359"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="42004359"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 42004359; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="42004198"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/42004198/The_Summer_North_Atlantic_Oscillation_Influence_on_the_Eastern_Mediterranean"><img alt="Research paper thumbnail of The Summer North Atlantic Oscillation Influence on the Eastern Mediterranean" class="work-thumbnail" src="https://attachments.academia-assets.com/62128758/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/42004198/The_Summer_North_Atlantic_Oscillation_Influence_on_the_Eastern_Mediterranean">The Summer North Atlantic Oscillation Influence on the Eastern Mediterranean</a></div><div class="wp-workCard_item"><span>Journal of Climate</span><span>, 2011</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">This study highlights an important and previously overlooked summer North Atlantic Oscillation (N...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">This study highlights an important and previously overlooked summer North Atlantic Oscillation (NAO) influence over the eastern Mediterranean. The featured analysis is based on a synergistic use of reanalysis data, satellite retrievals, and coastal and buoy meteorological observations. The physical mechanisms at play reveal a strong summer NAO involvement on the pressure fields over northern Europe and the Anatolian plateau. Especially during August, the summer NAO modulates the Anatolian low, together with the air temperature, meridional atmospheric circulation, and cloudiness over the eastern Mediterranean. Including the dominant action centers over Greenland and the Arctic, the identified modulations rank among the strongest summer NAO-related signals over the entire Northern Hemisphere.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="001e4495523daf22cb0a0084cfd8ad8a" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":62128758,"asset_id":42004198,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/62128758/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="42004198"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="42004198"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 42004198; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="22149589"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/22149589/Tourism_climatology_and_tourism_potential_for_Crete_Greece"><img alt="Research paper thumbnail of Tourism climatology and tourism potential for Crete, Greece" class="work-thumbnail" src="https://attachments.academia-assets.com/42812710/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/22149589/Tourism_climatology_and_tourism_potential_for_Crete_Greece">Tourism climatology and tourism potential for Crete, Greece</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://webster.academia.edu/AthanasiosSarantopoulos">Athanasios D Sarantopoulos</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://uni-freiburg.academia.edu/AMatzarakis">Andreas Matzarakis</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/NKaratarakis">N. Karatarakis</a></span></div><div class="wp-workCard_item"><span>Annalen der …</span><span>, 2005</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Crete, the biggest island of Greece, located in the east Mediterranean, is the most frequently vi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Crete, the biggest island of Greece, located in the east Mediterranean, is the most frequently visited Greek island by foreign visitors (about 2 millions people) throughout the year. Tourism represents a major economic factor for Crete. Crete is the greatest tourism destination in ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="cc9cda2b6008e6b12a66f41e630a38cd" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":42812710,"asset_id":22149589,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/42812710/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="22149589"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="22149589"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 22149589; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="17592888"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/17592888/A_First_Comparative_Analysis_of_Temperature_Data_Collected_from_Automatic_and_Conventional_Weather_Stations_in_Greece"><img alt="Research paper thumbnail of A First Comparative Analysis of Temperature Data Collected from Automatic and Conventional Weather Stations in Greece" class="work-thumbnail" src="https://attachments.academia-assets.com/49395933/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/17592888/A_First_Comparative_Analysis_of_Temperature_Data_Collected_from_Automatic_and_Conventional_Weather_Stations_in_Greece">A First Comparative Analysis of Temperature Data Collected from Automatic and Conventional Weather Stations in Greece</a></div><div class="wp-workCard_item wp-workCard--coauthors"><span>by </span><span><a class="" data-click-track="profile-work-strip-authors" href="https://independent.academia.edu/NKaratarakis">N. Karatarakis</a>, <a class="" data-click-track="profile-work-strip-authors" href="https://webster.academia.edu/AthanasiosSarantopoulos">Athanasios D Sarantopoulos</a>, and <a class="" data-click-track="profile-work-strip-authors" href="https://uoa.academia.edu/KonstantinosLianos">Konstantinos Lianos</a></span></div><div class="wp-workCard_item"><span>Springer Atmospheric Sciences</span><span>, 2012</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">A new automatic system of meteorological observations has become operational at Hellenic National...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">A new automatic system of meteorological observations has become operational at Hellenic National Meteorological Service. This new system attempts to overcome the problems of shortage of personnel and limited budget in recent years. Τhe data collected from both systems of observation are analysed to detect any differences between them, understand these better, and perform any necessary adjustments. These differences may become important in evaluating normal values, developing homogenized data and examining climate variability and change. A first analysis of common temperature synoptic data collected from 11 Meteorological Stations is analyzed, for a period of 18 months. dry, minimum, and maximum temperatures are studied. Results show that, in most cases, there is a very good correlation for all parameters; however, there are significant biases between corresponding values of new Automatic Weather Stations (AWS) and the Conventional Weather Stations (CWS).</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b3de070ef2face155ea205a156fc9e0e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":49395933,"asset_id":17592888,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/49395933/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="17592888"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="17592888"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 17592888; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=17592888]").text(description); $(".js-view-count[data-work-id=17592888]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 17592888; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='17592888']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "b3de070ef2face155ea205a156fc9e0e" } } $('.js-work-strip[data-work-id=17592888]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":17592888,"title":"A First Comparative Analysis of Temperature Data Collected from Automatic and Conventional Weather Stations in Greece","internal_url":"https://www.academia.edu/17592888/A_First_Comparative_Analysis_of_Temperature_Data_Collected_from_Automatic_and_Conventional_Weather_Stations_in_Greece","owner_id":37429025,"coauthors_can_edit":true,"owner":{"id":37429025,"first_name":"N.","middle_initials":null,"last_name":"Karatarakis","page_name":"NKaratarakis","domain_name":"independent","created_at":"2015-11-01T22:32:14.338-08:00","display_name":"N. 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Sunshine duration (SDU) has been proven a useful proxy when historical observations of solar radiation are missing. Long-term observations of SDU and total cloud cover (TCC) from 15 sites were used for the detection of fluctuations and dimming/brightening periods over Greece. A prominent spatial and temporal variation of SDU and TCC was found. As expected, SDU is negatively correlated with TCC, with years with positive SDU anomalies corresponding almost always to years with negative TCC anomalies. However, both variables exhibited trends of the same sign during certain periods, indicating a weakening of correlation in low frequencies. Almost all sites in the country experienced a decrease of the annual SDU until mid 1980's, and this is more pronounced in Western Greece. An ongoing increase of SDU since the mid 1980's is then observed, which at certain areas of Southeastern Greece amounts to +20hours/ year. This increase is not accompanied with synchronous decrease of TCC, possibly pointing to the impact of aerosols loads on solar radiation and SDU fluctuations.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b6cc563f55718cc7dcd1d37045ea89ff" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":62949900,"asset_id":42732454,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/62949900/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="42732454"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="42732454"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 42732454; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=42732454]").text(description); $(".js-view-count[data-work-id=42732454]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 42732454; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='42732454']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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