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The neural-network verification was performed using the hourly measurements of diffuse solar-radiation obtained during the year 2002. The neural network was developed based on both feature determination and pattern selection techniques. It was found that the inclusion of the atmospheric long-wave radiation as input improves the neural-network performance. On the other hand traditional meteorological parameters, like air temperature and atmospheric pressure, are not as important as long-wave radiation which acts as a surrogate for cloud-cover information on the regional scale. An objective evaluation has shown that the diffuse solar-radiation is better reproduced by neural network synthetic series than by a correlation model.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/1276462" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="e8ac5eefeadc6710b4df06ce76fca8ab" rel="nofollow" data-download="{"attachment_id":39428095,"asset_id":1276462,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/39428095/download_file?st=MTczMjQ1MTY4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1146171" href="https://usp-br.academia.edu/JacyraSoares">Jacyra Soares</a><script data-card-contents-for-user="1146171" type="text/json">{"id":1146171,"first_name":"Jacyra","last_name":"Soares","domain_name":"usp-br","page_name":"JacyraSoares","display_name":"Jacyra Soares","profile_url":"https://usp-br.academia.edu/JacyraSoares","photo":"https://0.academia-photos.com/1146171/403626/493417/s65_jacyra.soares.jpg"}</script></span></span></li><li class="js-paper-rank-work_1276462 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="1276462"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 1276462, container: ".js-paper-rank-work_1276462", }); 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The neural-network verification was performed using the hourly measurements of diffuse solar-radiation obtained during the year 2002. The neural network was developed based on both feature determination and pattern selection techniques. It was found that the inclusion of the atmospheric long-wave radiation as input improves the neural-network performance. On the other hand traditional meteorological parameters, like air temperature and atmospheric pressure, are not as important as long-wave radiation which acts as a surrogate for cloud-cover information on the regional scale. An objective evaluation has shown that the diffuse solar-radiation is better reproduced by neural network synthetic series than by a correlation model.","publication":"Applied energy","publication_with_fallback":"Applied energy","downloadable_attachments":[{"id":39428095,"asset_id":1276462,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/39428095/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/39428095/Soares_et_al.__2004_Modeling_hourly_diffuse_solar-radiation_in_the_city_of_Sao_Paulo_using_a_neural-network_technique-libre.pdf?1445876886=\u0026response-content-disposition=attachment%3B+filename%3DModeling_hourly_diffuse_solar_radiation.pdf\u0026Expires=1732317970\u0026Signature=Mm-V7H77pck2MWh8h4O3qnVB~E7NyqTqtxTpKYVEE55C3S2z~02IFQ7YPjZVSYPvO4244tHdyCJ08vbW0UYNlLw8ZyCBB9VRbgx~g3umUU298jOKmk7vtkaGEIM~4sbBRoPS5eFR9A0lDABNOJSRms4Xhvdmlr35rf8y1k7QytIPB5xMEWvNfqG1liiJ969ADSmCGo0YbHRpY1yUVYq5uteBe0bmSquSa3Ocm3qXzvaxVFmPEreOQ7B625E4n15DjI0u6GBDN3odyYj5bP1N9uuf7HxDpgW6NUc9~feKUI5bGIj614AbWzebbY6f4Yy425izMVnps6c-dSZkAQNTQg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/39428095/download_file?st=MTczMjQ1MTY4OSw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/39428095/mini_magick20190222-10432-59fpx7.png?1550901508"}],"downloadable_attachments_with_full_thumbnails":[{"id":39428095,"asset_id":1276462,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/39428095/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/39428095/Soares_et_al.__2004_Modeling_hourly_diffuse_solar-radiation_in_the_city_of_Sao_Paulo_using_a_neural-network_technique-libre.pdf?1445876886=\u0026response-content-disposition=attachment%3B+filename%3DModeling_hourly_diffuse_solar_radiation.pdf\u0026Expires=1732317971\u0026Signature=YSkhyh4q2Qzjvf60C286sDiA4px1zTZ--HTzPHlS0vqTdj8t4zLDEUf5DE2Cr2mowbB1MP~viYG7Vmaj1sfQpvpH~obtxwSsRkruEImTX5j7a9S5lh2XCvIAdxAZVsG2vYZYVD4iYsOtCT-0enBspvF1wN~zb3ZKctP5W4WGUfowdE49AP6D13ueSx4yrmCvp8CyEmNQPFU2~mGhNuklAR4P6N-7q-YkbclLmxXFD2YCjzjQcov19~g4WAhOi5MleCuNy~UpiYKn-pXoXyX5GFJjMh-x5I3UNjk1XAHLEttHg2JZ7HGzL~35sb74PgTdszPQiqYGZTb-NUGgihfT3Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/39428095/download_file?st=MTczMjQ1MTY4OSw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/39428095/mini_magick20190222-10432-59fpx7.png?1550901508"}],"has_pdf":true,"has_fulltext":true,"page_count":14,"ordered_authors":[{"id":1146171,"first_name":"Jacyra","last_name":"Soares","domain_name":"usp-br","page_name":"JacyraSoares","display_name":"Jacyra Soares","profile_url":"https://usp-br.academia.edu/JacyraSoares","photo":"https://0.academia-photos.com/1146171/403626/493417/s65_jacyra.soares.jpg"}],"research_interests":[{"id":11598,"name":"Neural Networks","url":"https://www.academia.edu/Documents/in/Neural_Networks","nofollow":false},{"id":369568,"name":"Diffuse solar radiation","url":"https://www.academia.edu/Documents/in/Diffuse_solar_radiation","nofollow":false}],"publication_year":2004,"publication_year_with_fallback":2004,"paper_rank":null,"all_time_views":103,"active_discussion":{}}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_1276463" data-work_id="1276463" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/1276463/Correlation_models_of_diffuse_solar_radiation_applied_to_the_city_of_S%C3%A3o_Paulo_Brazil">Correlation models of diffuse solar-radiation applied to the city of São Paulo, Brazil</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">Measurements of global and diffuse solar-radiation, at the Earth's surface, carried out from May 1994 to June 1999 in São Paulo City, Brazil, were used to develop correlation models to estimate hourly, daily and monthly values of diffuse... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_1276463" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">Measurements of global and diffuse solar-radiation, at the Earth's surface, carried out from May 1994 to June 1999 in São Paulo City, Brazil, were used to develop correlation models to estimate hourly, daily and monthly values of diffuse solar-radiation on horizontal surfaces. The polynomials derived by linear regression fitting were able to model satisfactorily the daily and monthly values of diffuse radiation. The comparison with models derived for other places demonstrates some differences related mainly to altitude effects.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/1276463" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="6803632b88b9ce2b5856bf9fdf7c59bc" rel="nofollow" data-download="{"attachment_id":51045093,"asset_id":1276463,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/51045093/download_file?st=MTczMjQ1MTY4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1146171" href="https://usp-br.academia.edu/JacyraSoares">Jacyra Soares</a><script data-card-contents-for-user="1146171" type="text/json">{"id":1146171,"first_name":"Jacyra","last_name":"Soares","domain_name":"usp-br","page_name":"JacyraSoares","display_name":"Jacyra Soares","profile_url":"https://usp-br.academia.edu/JacyraSoares","photo":"https://0.academia-photos.com/1146171/403626/493417/s65_jacyra.soares.jpg"}</script></span></span></li><li class="js-paper-rank-work_1276463 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="1276463"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 1276463, container: ".js-paper-rank-work_1276463", }); 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$(".js-view-count[data-work-id=1276463]").text(description); $(".js-view-count-work_1276463").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_1276463").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="1276463"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">3</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="78364" href="https://www.academia.edu/Documents/in/S%C3%A3o_Paulo_Brazil_">São Paulo (Brazil)</a>, <script data-card-contents-for-ri="78364" type="text/json">{"id":78364,"name":"São Paulo (Brazil)","url":"https://www.academia.edu/Documents/in/S%C3%A3o_Paulo_Brazil_","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="79594" href="https://www.academia.edu/Documents/in/Urban_Climate">Urban Climate</a>, <script data-card-contents-for-ri="79594" type="text/json">{"id":79594,"name":"Urban Climate","url":"https://www.academia.edu/Documents/in/Urban_Climate","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="372208" href="https://www.academia.edu/Documents/in/Correlation_model">Correlation model</a><script data-card-contents-for-ri="372208" type="text/json">{"id":372208,"name":"Correlation model","url":"https://www.academia.edu/Documents/in/Correlation_model","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=1276463]'), work: {"id":1276463,"title":"Correlation models of diffuse solar-radiation applied to the city of São Paulo, Brazil","created_at":"2012-01-23T00:58:12.038-08:00","owner_id":1146171,"url":"https://www.academia.edu/1276463/Correlation_models_of_diffuse_solar_radiation_applied_to_the_city_of_S%C3%A3o_Paulo_Brazil","slug":"Correlation_models_of_diffuse_solar_radiation_applied_to_the_city_of_São_Paulo_Brazil","dom_id":"work_1276463","summary":"Measurements of global and diffuse solar-radiation, at the Earth's surface, carried out from May 1994 to June 1999 in São Paulo City, Brazil, were used to develop correlation models to estimate hourly, daily and monthly values of diffuse solar-radiation on horizontal surfaces. The polynomials derived by linear regression fitting were able to model satisfactorily the daily and monthly values of diffuse radiation. The comparison with models derived for other places demonstrates some differences related mainly to altitude effects.","publication":"Applied energy","publication_with_fallback":"Applied energy","downloadable_attachments":[{"id":51045093,"asset_id":1276463,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/51045093/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/51045093/Correlation_models_of_diffuse_solar_radi20161224-10335-9lt2v3-libre.pdf?1482622611=\u0026response-content-disposition=attachment%3B+filename%3DCorrelation_models_of_diffuse_solar_radi.pdf\u0026Expires=1732317971\u0026Signature=FcvZiYeT5TPnoq-KbDlU1~xJ10jm2baScY1Wj2BckuEI7SnsPpzfJMGW9Rff859lcVyKhfLvRzLnGC1iyMFmsB4ha9yEgAeSJwo46eN6r6ftqPQ4zJ22BODvPZpUy9s0VDTtRg8Vv4IOXHzv8wS3AUWiPN8fL6ehzXUU~bVGdWSyOQXiATKpIJ6ClBAzpMDbdgVtQ0mySp1yut2toWJzmtcsmkSn81yJTWTGLbbwobQNG3I2KFoJaMvSgNBIlHtP7goHXSjdMYJNnJpt94wHsYTOoeHr1symjsVlmhHLIzH9iZBIBTjdV~EiGQ9pUqvMUIxxEdDBOpNN~kJfdCUV4g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/51045093/download_file?st=MTczMjQ1MTY4OSw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/51045093/mini_magick20190126-5463-16ylwrq.png?1548545612"}],"downloadable_attachments_with_full_thumbnails":[{"id":51045093,"asset_id":1276463,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/51045093/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/51045093/Correlation_models_of_diffuse_solar_radi20161224-10335-9lt2v3-libre.pdf?1482622611=\u0026response-content-disposition=attachment%3B+filename%3DCorrelation_models_of_diffuse_solar_radi.pdf\u0026Expires=1732317971\u0026Signature=FcvZiYeT5TPnoq-KbDlU1~xJ10jm2baScY1Wj2BckuEI7SnsPpzfJMGW9Rff859lcVyKhfLvRzLnGC1iyMFmsB4ha9yEgAeSJwo46eN6r6ftqPQ4zJ22BODvPZpUy9s0VDTtRg8Vv4IOXHzv8wS3AUWiPN8fL6ehzXUU~bVGdWSyOQXiATKpIJ6ClBAzpMDbdgVtQ0mySp1yut2toWJzmtcsmkSn81yJTWTGLbbwobQNG3I2KFoJaMvSgNBIlHtP7goHXSjdMYJNnJpt94wHsYTOoeHr1symjsVlmhHLIzH9iZBIBTjdV~EiGQ9pUqvMUIxxEdDBOpNN~kJfdCUV4g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/51045093/download_file?st=MTczMjQ1MTY4OSw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/51045093/mini_magick20190126-5463-16ylwrq.png?1548545612"}],"has_pdf":true,"has_fulltext":true,"page_count":16,"ordered_authors":[{"id":1146171,"first_name":"Jacyra","last_name":"Soares","domain_name":"usp-br","page_name":"JacyraSoares","display_name":"Jacyra Soares","profile_url":"https://usp-br.academia.edu/JacyraSoares","photo":"https://0.academia-photos.com/1146171/403626/493417/s65_jacyra.soares.jpg"}],"research_interests":[{"id":78364,"name":"São Paulo (Brazil)","url":"https://www.academia.edu/Documents/in/S%C3%A3o_Paulo_Brazil_","nofollow":false},{"id":79594,"name":"Urban Climate","url":"https://www.academia.edu/Documents/in/Urban_Climate","nofollow":false},{"id":372208,"name":"Correlation model","url":"https://www.academia.edu/Documents/in/Correlation_model","nofollow":false}],"publication_year":2002,"publication_year_with_fallback":2002,"paper_rank":null,"all_time_views":80,"active_discussion":{}}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_1276464" data-work_id="1276464" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/1276464/Annual_and_diurnal_wind_patterns_in_the_city_of_S%C3%A3o_Paulo">Annual and diurnal wind patterns in the city of São Paulo</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The major topographic, mesoscale, and urban influences on the wind patterns of the City of São Paulo are characterized using one year of surface wind velocity data observed at 11 surface stations within its urban limits. The data was used... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_1276464" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The major topographic, mesoscale, and urban influences on the wind patterns of the City of São Paulo are characterized using one year of surface wind velocity data observed at 11 surface stations within its urban limits. The data was used to study the diurnal and annual variations of wind velocity and horizontal wind divergence within the city. Results showed that the circulation over the investigated area is dominated by three major factors: sea breeze; mountain-valley circulations; and urban effects, such as roughness, building-barrier, and urban heat island. The sea breeze was found to be the dominant feature of the monthly-averaged diurnal variation of São Paulo surface winds during the eight warmest months of the year. The sea breeze front induces a velocity minimum at the time of its passage and a post-frontal afternoon velocity maximum. Mountain-valley thermal effects on the flow can be seen in the temporal divergence/convergence patterns. These thermal effects tend to be more important during colder months, at night, and when the wind velocities are low. Nighttime downslope convergent flows are present over the city during winter and spring and daytime upslope divergent flows are present over the city during summer months.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/1276464" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="5aea5662b7bbaeb96d2772032fa71346" rel="nofollow" data-download="{"attachment_id":51045089,"asset_id":1276464,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/51045089/download_file?st=MTczMjQ1MTY4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1146171" href="https://usp-br.academia.edu/JacyraSoares">Jacyra Soares</a><script data-card-contents-for-user="1146171" type="text/json">{"id":1146171,"first_name":"Jacyra","last_name":"Soares","domain_name":"usp-br","page_name":"JacyraSoares","display_name":"Jacyra Soares","profile_url":"https://usp-br.academia.edu/JacyraSoares","photo":"https://0.academia-photos.com/1146171/403626/493417/s65_jacyra.soares.jpg"}</script></span></span></li><li class="js-paper-rank-work_1276464 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="1276464"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 1276464, container: ".js-paper-rank-work_1276464", }); });</script></li><li class="js-percentile-work_1276464 InlineList-item InlineList-item--bordered hidden u-tcGrayDark"><span class="percentile-widget hidden"><span class="u-mr2x percentile-widget" style="display: none">•</span><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 1276464; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_1276464"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_1276464 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="1276464"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 1276464; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=1276464]").text(description); $(".js-view-count-work_1276464").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_1276464").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="1276464"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">6</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="28235" href="https://www.academia.edu/Documents/in/Multidisciplinary">Multidisciplinary</a>, <script data-card-contents-for-ri="28235" type="text/json">{"id":28235,"name":"Multidisciplinary","url":"https://www.academia.edu/Documents/in/Multidisciplinary","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="116448" href="https://www.academia.edu/Documents/in/Sea_Breeze">Sea Breeze</a>, <script data-card-contents-for-ri="116448" type="text/json">{"id":116448,"name":"Sea Breeze","url":"https://www.academia.edu/Documents/in/Sea_Breeze","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="123866" href="https://www.academia.edu/Documents/in/Urban_heat_island">Urban heat island</a>, <script data-card-contents-for-ri="123866" type="text/json">{"id":123866,"name":"Urban heat island","url":"https://www.academia.edu/Documents/in/Urban_heat_island","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="471055" href="https://www.academia.edu/Documents/in/Diurnal_Variation">Diurnal Variation</a><script data-card-contents-for-ri="471055" type="text/json">{"id":471055,"name":"Diurnal Variation","url":"https://www.academia.edu/Documents/in/Diurnal_Variation","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=1276464]'), work: {"id":1276464,"title":"Annual and diurnal wind patterns in the city of São Paulo","created_at":"2012-01-23T00:58:12.335-08:00","owner_id":1146171,"url":"https://www.academia.edu/1276464/Annual_and_diurnal_wind_patterns_in_the_city_of_S%C3%A3o_Paulo","slug":"Annual_and_diurnal_wind_patterns_in_the_city_of_São_Paulo","dom_id":"work_1276464","summary":"The major topographic, mesoscale, and urban influences on the wind patterns of the City of São Paulo are characterized using one year of surface wind velocity data observed at 11 surface stations within its urban limits. The data was used to study the diurnal and annual variations of wind velocity and horizontal wind divergence within the city. Results showed that the circulation over the investigated area is dominated by three major factors: sea breeze; mountain-valley circulations; and urban effects, such as roughness, building-barrier, and urban heat island. The sea breeze was found to be the dominant feature of the monthly-averaged diurnal variation of São Paulo surface winds during the eight warmest months of the year. The sea breeze front induces a velocity minimum at the time of its passage and a post-frontal afternoon velocity maximum. Mountain-valley thermal effects on the flow can be seen in the temporal divergence/convergence patterns. These thermal effects tend to be more important during colder months, at night, and when the wind velocities are low. Nighttime downslope convergent flows are present over the city during winter and spring and daytime upslope divergent flows are present over the city during summer months.","publication":"Water, Air, \u0026 Soil Pollution: Focus","publication_with_fallback":"Water, Air, \u0026 Soil Pollution: Focus","downloadable_attachments":[{"id":51045089,"asset_id":1276464,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/51045089/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/51045089/Annual_and_Diurnal_Wind_Patterns_in_the_20161224-3642-1rs81p8-libre.pdf?1482622614=\u0026response-content-disposition=attachment%3B+filename%3DAnnual_and_diurnal_wind_patterns_in_the.pdf\u0026Expires=1731066042\u0026Signature=Z5~a-9BygEn3O5NZ-Mpv8LzUUeAw6K3RUXAu2HrljryIJd6bMt-Qbp3bwtwXQ-ImYoUwZdkK1FmPU38m~VP5W0MVSMcgisu56akv1K9qWewmVWIewb3q619IYGIQyNlGTd~8Y4AC4c35byHwcB7aC6MPjsp2RsKzd5HBzjjbhCuUQtvKFUE~MhP9hTUbf4vR-dPKdnnL3TjUHRrR1t8gMPPCf7bJVc~XRw6o52mfTk-KctLfzQhMbRd0BVVxe-Y0XKlgkhe9zNfQ-P9luJuEGZDlYZoGzFjw~PZKNs9KxUtlkd6EZIDS3SbGlEoD7pdVuGHNd~I0hXnNLbi3ruWd1g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/51045089/download_file?st=MTczMjQ1MTY4OSw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/51045089/mini_magick20190126-5467-1czm7za.png?1548545624"}],"downloadable_attachments_with_full_thumbnails":[{"id":51045089,"asset_id":1276464,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/51045089/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/51045089/Annual_and_Diurnal_Wind_Patterns_in_the_20161224-3642-1rs81p8-libre.pdf?1482622614=\u0026response-content-disposition=attachment%3B+filename%3DAnnual_and_diurnal_wind_patterns_in_the.pdf\u0026Expires=1731066042\u0026Signature=Z5~a-9BygEn3O5NZ-Mpv8LzUUeAw6K3RUXAu2HrljryIJd6bMt-Qbp3bwtwXQ-ImYoUwZdkK1FmPU38m~VP5W0MVSMcgisu56akv1K9qWewmVWIewb3q619IYGIQyNlGTd~8Y4AC4c35byHwcB7aC6MPjsp2RsKzd5HBzjjbhCuUQtvKFUE~MhP9hTUbf4vR-dPKdnnL3TjUHRrR1t8gMPPCf7bJVc~XRw6o52mfTk-KctLfzQhMbRd0BVVxe-Y0XKlgkhe9zNfQ-P9luJuEGZDlYZoGzFjw~PZKNs9KxUtlkd6EZIDS3SbGlEoD7pdVuGHNd~I0hXnNLbi3ruWd1g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/51045089/download_file?st=MTczMjQ1MTY4OSw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/51045089/mini_magick20190126-5467-1czm7za.png?1548545624"}],"has_pdf":true,"has_fulltext":true,"page_count":14,"ordered_authors":[{"id":1146171,"first_name":"Jacyra","last_name":"Soares","domain_name":"usp-br","page_name":"JacyraSoares","display_name":"Jacyra 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})();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_1276465" data-work_id="1276465" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/1276465/North_northeast_Brazil_rainfall_and_its_decadal_scale_relationship_to_wind_stress_and_sea_surface_temperature">North northeast Brazil rainfall and its decadal‐scale relationship to wind stress and sea surface temperature</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/1276465" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa 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href="https://www.academia.edu/1276466/Modeling_hourly_and_daily_fractions_of_UV_PAR_and_NIR_to_global_solar_radiation_under_various_sky_conditions_at_Botucatu_Brazil">Modeling hourly and daily fractions of UV, PAR and NIR to global solar radiation under various sky conditions at Botucatu, Brazil</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">In this analysis, using available hourly and daily radiometric data performed at Botucatu, Brazil, several empirical models relating ultraviolet (UV), photosynthetically active (PAR) and near infrared (NIR) solar global components with... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_1276466" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">In this analysis, using available hourly and daily radiometric data performed at Botucatu, Brazil, several empirical models relating ultraviolet (UV), photosynthetically active (PAR) and near infrared (NIR) solar global components with solar global radiation (G) are established. These models are developed and discussed through clearness index KTKT (ratio of the global-to-extraterrestrial solar radiation). Results obtained reveal that the proposed empirical models predict hourly and daily values accurately. Finally, the overall analysis carried out demonstrates that the sky conditions are more important in developing correlation models between the UV component and the global solar radiation. The linear regression models derived to estimate PAR and NIR components may be obtained without sky condition considerations within a maximum variation of 8%. 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Flows","url":"https://www.academia.edu/Documents/in/Turbulent_Flows","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="117741" href="https://www.academia.edu/Documents/in/Lake_Breeze">Lake Breeze</a>, <script data-card-contents-for-ri="117741" type="text/json">{"id":117741,"name":"Lake Breeze","url":"https://www.academia.edu/Documents/in/Lake_Breeze","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="369572" href="https://www.academia.edu/Documents/in/Itaipu_lake">Itaipu lake</a><script data-card-contents-for-ri="369572" type="text/json">{"id":369572,"name":"Itaipu lake","url":"https://www.academia.edu/Documents/in/Itaipu_lake","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=1276467]'), work: {"id":1276467,"title":"Patterns of local circulation in the Itaipu Lake area: numerical simulations of lake 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Flows","url":"https://www.academia.edu/Documents/in/Atmospheric_Boundary_Layer_Flows"}],"publication_year":2010,"publication_year_with_fallback":2010,"paper_rank":null,"all_time_views":27,"active_discussion":{}}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_1276468" data-work_id="1276468" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/1276468/An_application_of_neural_network_technique_to_correct_the_dome_temperature_effects_on_pyrgeometer_measurements">An application of neural network technique to correct the dome temperature effects on pyrgeometer measurements</a></div></div><div class="u-pb4x u-mt3x"></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div 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inversion</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The numerical surface energy-budget model proposed by Deardorff [J. Geophys. Res. 83(C4) (1978) 1899] is used to simulate surface fluxes of sensible and latent heat and net irradiance for two periods of the year in Iperó, SP, Brazil:... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_1276469" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The numerical surface energy-budget model proposed by Deardorff [J. Geophys. Res. 83(C4) (1978) 1899] is used to simulate surface fluxes of sensible and latent heat and net irradiance for two periods of the year in Iperó, SP, Brazil: winter of 1992 and summer of 1993. Surface energy models are very sensitive to the soil–vegetation parameters. The values of these parameters, however, are not easy to obtain. Here, a new approach to obtain a set of representative values of soil–vegetation parameters is done by using inverse modeling. The parameter values obtained by the inversion model and used in the numerical model to simulate the fluxes have provided a good description of the interface soil–vegetation conditions in Iperó, according to statistical indicators employed to evaluate the agreement between observed and simulated fluxes. The final results indicate that the inversion method is a fast and efficient resource to obtain the parameters of a model when it is not otherwise possible to get reliable reference values for numerical simulations.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/1276469" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="b14004ddacc4c20dbb5484a095f4e024" rel="nofollow" data-download="{"attachment_id":51045094,"asset_id":1276469,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/51045094/download_file?st=MTczMjQ1MTY4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1146171" href="https://usp-br.academia.edu/JacyraSoares">Jacyra Soares</a><script data-card-contents-for-user="1146171" type="text/json">{"id":1146171,"first_name":"Jacyra","last_name":"Soares","domain_name":"usp-br","page_name":"JacyraSoares","display_name":"Jacyra Soares","profile_url":"https://usp-br.academia.edu/JacyraSoares","photo":"https://0.academia-photos.com/1146171/403626/493417/s65_jacyra.soares.jpg"}</script></span></span></li><li class="js-paper-rank-work_1276469 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="1276469"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 1276469, container: ".js-paper-rank-work_1276469", }); 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Geophys. Res. 83(C4) (1978) 1899] is used to simulate surface fluxes of sensible and latent heat and net irradiance for two periods of the year in Iperó, SP, Brazil: winter of 1992 and summer of 1993. Surface energy models are very sensitive to the soil–vegetation parameters. The values of these parameters, however, are not easy to obtain. Here, a new approach to obtain a set of representative values of soil–vegetation parameters is done by using inverse modeling. The parameter values obtained by the inversion model and used in the numerical model to simulate the fluxes have provided a good description of the interface soil–vegetation conditions in Iperó, according to statistical indicators employed to evaluate the agreement between observed and simulated fluxes. The final results indicate that the inversion method is a fast and efficient resource to obtain the parameters of a model when it is not otherwise possible to get reliable reference values for numerical simulations.","publication":"Atmospheric research","publication_with_fallback":"Atmospheric 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The Itaipu Lake is an artificial water reservoir of 1460 km2 (approximately 170 km by 7.5... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_1276471" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The impact of the Itaipu Lake on the climate and local circulation is investigated here using the meteorological information available in the area. The Itaipu Lake is an artificial water reservoir of 1460 km2 (approximately 170 km by 7.5 km), formed in 1982 as part of the Itaipu Power Plant. It is situated on the Brazil-Paraguay frontier, in the central portion of Parana River Valley. The analysis of the available meteorological data (air and water temperatures, air relative humidity, precipitation and radiosonde soundings) provides observational evidences supporting the hypothesis that the Itaipu Lake presence has an important impact in the local circulation, inducing a local circulation with lake breeze characteristics showing horizontal wind divergence over the lake during daytime and convergence during nighttime. From the regional point of view, the Itaipu Lake formation has reduced the thermal amplitude of the diurnal air temperature cycle. The precipitation data, investigated here, has not indicated any systematic effect associated to the lake formation. The reason for the apparent inconsistency is that others phenomena (e.g., valley-mountain circulation and El Niño events) could be masking the impact of the lake formation on the rain deficit in the region.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/1276471" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="57825f14796c163272db546770be63a8" rel="nofollow" data-download="{"attachment_id":51045082,"asset_id":1276471,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/51045082/download_file?st=MTczMjQ1MTY4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1146171" href="https://usp-br.academia.edu/JacyraSoares">Jacyra Soares</a><script data-card-contents-for-user="1146171" type="text/json">{"id":1146171,"first_name":"Jacyra","last_name":"Soares","domain_name":"usp-br","page_name":"JacyraSoares","display_name":"Jacyra Soares","profile_url":"https://usp-br.academia.edu/JacyraSoares","photo":"https://0.academia-photos.com/1146171/403626/493417/s65_jacyra.soares.jpg"}</script></span></span></li><li class="js-paper-rank-work_1276471 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="1276471"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 1276471, container: ".js-paper-rank-work_1276471", }); 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The Itaipu Lake is an artificial water reservoir of 1460 km2 (approximately 170 km by 7.5 km), formed in 1982 as part of the Itaipu Power Plant. It is situated on the Brazil-Paraguay frontier, in the central portion of Parana River Valley. The analysis of the available meteorological data (air and water temperatures, air relative humidity, precipitation and radiosonde soundings) provides observational evidences supporting the hypothesis that the Itaipu Lake presence has an important impact in the local circulation, inducing a local circulation with lake breeze characteristics showing horizontal wind divergence over the lake during daytime and convergence during nighttime. From the regional point of view, the Itaipu Lake formation has reduced the thermal amplitude of the diurnal air temperature cycle. The precipitation data, investigated here, has not indicated any systematic effect associated to the lake formation. The reason for the apparent inconsistency is that others phenomena (e.g., valley-mountain circulation and El Niño events) could be masking the impact of the lake formation on the rain deficit in the region.","publication":"Climatic change","publication_with_fallback":"Climatic 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Part I: The seasonal cycle","created_at":"2012-01-23T00:58:13.185-08:00","owner_id":1146171,"url":"https://www.academia.edu/1276476/Intercomparison_of_heat_fluxes_in_the_South_Atlantic_Part_I_The_seasonal_cycle","slug":"Intercomparison_of_heat_fluxes_in_the_South_Atlantic_Part_I_The_seasonal_cycle","dom_id":"work_1276476","summary":null,"publication":null,"publication_with_fallback":null,"downloadable_attachments":[{"id":51045090,"asset_id":1276476,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/51045090/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/51045090/Intercomparison_of_Heat_Fluxes_in_the_So20161224-3642-1yzs0hf-libre.pdf?1482622617=\u0026response-content-disposition=attachment%3B+filename%3DIntercomparison_of_heat_fluxes_in_the_So.pdf\u0026Expires=1732317973\u0026Signature=G2Kwp81iAaHs8DFiy9gKe7tnJfPvb5HHBU6p0KluEbMEdFy5ytHKOclO~7TCaTUAsh2iHbZZGZeik5vQjAHMiSq4xxkJZ5Wk4GSOs3gcz3EysfXV-BFnATE1rDQc6nCjNfjCGOwB4IvrZZppDR3kYLVoG6ipxzjm5Tkuwp2a-~hCBu6qfnKV3xNHN8x~1GSV1rJHpAOhjRGpn6-ewfGD1vIYq3jBU4Rkn06ReZMBSeAXSwANZnfp9DIlar9GsYgqULJM1mtuLM~4sVhCHm722ce0XcF9CMeqtyG5LREF6cndOxwmRdycKDj9MWJqS3jjo8pbLYGfXQ1NtPIMJLNBLg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/51045090/download_file?st=MTczMjQ1MTY4OSw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/51045090/mini_magick20190126-2037-1adhfj9.png?1548545629"}],"downloadable_attachments_with_full_thumbnails":[{"id":51045090,"asset_id":1276476,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/51045090/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/51045090/Intercomparison_of_Heat_Fluxes_in_the_So20161224-3642-1yzs0hf-libre.pdf?1482622617=\u0026response-content-disposition=attachment%3B+filename%3DIntercomparison_of_heat_fluxes_in_the_So.pdf\u0026Expires=1732317973\u0026Signature=G2Kwp81iAaHs8DFiy9gKe7tnJfPvb5HHBU6p0KluEbMEdFy5ytHKOclO~7TCaTUAsh2iHbZZGZeik5vQjAHMiSq4xxkJZ5Wk4GSOs3gcz3EysfXV-BFnATE1rDQc6nCjNfjCGOwB4IvrZZppDR3kYLVoG6ipxzjm5Tkuwp2a-~hCBu6qfnKV3xNHN8x~1GSV1rJHpAOhjRGpn6-ewfGD1vIYq3jBU4Rkn06ReZMBSeAXSwANZnfp9DIlar9GsYgqULJM1mtuLM~4sVhCHm722ce0XcF9CMeqtyG5LREF6cndOxwmRdycKDj9MWJqS3jjo8pbLYGfXQ1NtPIMJLNBLg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/51045090/download_file?st=MTczMjQ1MTY4OSw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/51045090/mini_magick20190126-2037-1adhfj9.png?1548545629"}],"has_pdf":true,"has_fulltext":true,"page_count":10,"ordered_authors":[{"id":1146171,"first_name":"Jacyra","last_name":"Soares","domain_name":"usp-br","page_name":"JacyraSoares","display_name":"Jacyra Soares","profile_url":"https://usp-br.academia.edu/JacyraSoares","photo":"https://0.academia-photos.com/1146171/403626/493417/s65_jacyra.soares.jpg"}],"research_interests":[{"id":369622,"name":"Heat fluxes","url":"https://www.academia.edu/Documents/in/Heat_fluxes","nofollow":false},{"id":369623,"name":"South Atlantic Ocean","url":"https://www.academia.edu/Documents/in/South_Atlantic_Ocean","nofollow":false}],"publication_year":2010,"publication_year_with_fallback":2010,"paper_rank":null,"all_time_views":103,"active_discussion":{}}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_1276477" data-work_id="1276477" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/1276477/Anthropogenic_heat_in_the_city_of_S%C3%A3o_Paulo_Brazil">Anthropogenic heat in the city of São Paulo, Brazil</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The main goal of this work is to describe the anthropogenic energy flux (Q F) in the city of São Paulo, Brazil. The hourly, monthly, and annual values of the anthropogenic energy flux are estimated using the inventory method, and the... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_1276477" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The main goal of this work is to describe the anthropogenic energy flux (Q F) in the city of São Paulo, Brazil. The hourly, monthly, and annual values of the anthropogenic energy flux are estimated using the inventory method, and the contributions of vehicular, stationary, and human metabolism sources from 2004 to 2007 are considered. The vehicular and stationary sources are evaluated using the primary consumption of energy based on fossil fuel, bio fuel, and electricity usage by the population. The diurnal evolution of the anthropogenic energy flux shows three relative maxima, with the largest maxima occurring early in the morning (∼19.9 Wm−2) and in the late afternoon (∼20.3 Wm−2). The relative maximum that occurs around noontime (∼19.6 Wm−2) reflects the diurnal pattern of vehicle traffic that seems to be specific to São Paulo. With respect to diurnal evolution, the energy flux released by vehicular sources (Q FV) contributes approximately 50% of the total anthropogenic energy flux. Stationary sources (Q FS) and human metabolism (Q FM) represent about 41% and 9% of the anthropogenic energy flux, respectively. For 2007, the monthly values of Q FV, Q FS, Q FM, and Q F are, respectively, 16.8 ± 0.25, 14.3 ± 0.16, 3.5 ± 0.03, and 34.6 ± 0.41 MJ m−2 month−1. The seasonal evolution monthly values of Q FV, Q FS, Q FM, and Q F show a relative minimum during the summer and winter vacations and a systematic and progressive increase associated with the seasonal evolution of the economic activity in São Paulo. The annual evolution of Q F indicates that the city of São Paulo released 355.2 MJ m−2 year−1 in 2004 and 415.5 MJ m−2 year−1 in 2007 in association with an annual rate of increase of 19.6 MJ m−2 year−1 (from 2004 to 2006) and 30.5 MJ m−2 year−1 (from 2006 to 2007). The anthropogenic energy flux corresponds to about 9% of the net radiation at the surface in the summer and 15% in the winter. The amplitude of seasonal variation of the maximum hourly value of the diurnal variation increases exponentially with latitude.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/1276477" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="924bc8e703cac1ea4dd32a7271d6b10d" rel="nofollow" data-download="{"attachment_id":51045097,"asset_id":1276477,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/51045097/download_file?st=MTczMjQ1MTY4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1146171" href="https://usp-br.academia.edu/JacyraSoares">Jacyra Soares</a><script data-card-contents-for-user="1146171" type="text/json">{"id":1146171,"first_name":"Jacyra","last_name":"Soares","domain_name":"usp-br","page_name":"JacyraSoares","display_name":"Jacyra Soares","profile_url":"https://usp-br.academia.edu/JacyraSoares","photo":"https://0.academia-photos.com/1146171/403626/493417/s65_jacyra.soares.jpg"}</script></span></span></li><li class="js-paper-rank-work_1276477 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="1276477"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 1276477, container: ".js-paper-rank-work_1276477", }); 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$(".js-view-count[data-work-id=1276477]").text(description); $(".js-view-count-work_1276477").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_1276477").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="1276477"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">3</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="7725" href="https://www.academia.edu/Documents/in/Urban_Studies">Urban Studies</a>, <script data-card-contents-for-ri="7725" type="text/json">{"id":7725,"name":"Urban Studies","url":"https://www.academia.edu/Documents/in/Urban_Studies","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="79594" href="https://www.academia.edu/Documents/in/Urban_Climate">Urban Climate</a>, <script data-card-contents-for-ri="79594" type="text/json">{"id":79594,"name":"Urban Climate","url":"https://www.academia.edu/Documents/in/Urban_Climate","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="369641" href="https://www.academia.edu/Documents/in/Anthropogenic_heat">Anthropogenic heat</a><script data-card-contents-for-ri="369641" type="text/json">{"id":369641,"name":"Anthropogenic heat","url":"https://www.academia.edu/Documents/in/Anthropogenic_heat","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=1276477]'), work: {"id":1276477,"title":"Anthropogenic heat in the city of São Paulo, Brazil","created_at":"2012-01-23T00:58:13.252-08:00","owner_id":1146171,"url":"https://www.academia.edu/1276477/Anthropogenic_heat_in_the_city_of_S%C3%A3o_Paulo_Brazil","slug":"Anthropogenic_heat_in_the_city_of_São_Paulo_Brazil","dom_id":"work_1276477","summary":"The main goal of this work is to describe the anthropogenic energy flux (Q F) in the city of São Paulo, Brazil. The hourly, monthly, and annual values of the anthropogenic energy flux are estimated using the inventory method, and the contributions of vehicular, stationary, and human metabolism sources from 2004 to 2007 are considered. The vehicular and stationary sources are evaluated using the primary consumption of energy based on fossil fuel, bio fuel, and electricity usage by the population. The diurnal evolution of the anthropogenic energy flux shows three relative maxima, with the largest maxima occurring early in the morning (∼19.9 Wm−2) and in the late afternoon (∼20.3 Wm−2). The relative maximum that occurs around noontime (∼19.6 Wm−2) reflects the diurnal pattern of vehicle traffic that seems to be specific to São Paulo. With respect to diurnal evolution, the energy flux released by vehicular sources (Q FV) contributes approximately 50% of the total anthropogenic energy flux. Stationary sources (Q FS) and human metabolism (Q FM) represent about 41% and 9% of the anthropogenic energy flux, respectively. For 2007, the monthly values of Q FV, Q FS, Q FM, and Q F are, respectively, 16.8 ± 0.25, 14.3 ± 0.16, 3.5 ± 0.03, and 34.6 ± 0.41 MJ m−2 month−1. The seasonal evolution monthly values of Q FV, Q FS, Q FM, and Q F show a relative minimum during the summer and winter vacations and a systematic and progressive increase associated with the seasonal evolution of the economic activity in São Paulo. The annual evolution of Q F indicates that the city of São Paulo released 355.2 MJ m−2 year−1 in 2004 and 415.5 MJ m−2 year−1 in 2007 in association with an annual rate of increase of 19.6 MJ m−2 year−1 (from 2004 to 2006) and 30.5 MJ m−2 year−1 (from 2006 to 2007). The anthropogenic energy flux corresponds to about 9% of the net radiation at the surface in the summer and 15% in the winter. The amplitude of seasonal variation of the maximum hourly value of the diurnal variation increases exponentially with latitude.","publication":"Theoretical and Applied …","publication_with_fallback":"Theoretical and Applied …","downloadable_attachments":[{"id":51045097,"asset_id":1276477,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/51045097/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/51045097/Anthropogenic_heat_in_the_city_of_So_Pau20161224-10335-7weskx-libre.pdf?1482622612=\u0026response-content-disposition=attachment%3B+filename%3DAnthropogenic_heat_in_the_city_of_Sao_Pa.pdf\u0026Expires=1732455289\u0026Signature=KMUqwZIiMwvxOmktq4rzS89qIfKLIBwIqu66ihgDWwSrkXm4JwqIS6yeRPlgCK56UtpOjKkQvUpAgOFKcOMn5FI5K4lzSy6BrKvyA~HVQZqVXdVilgyossTj1t5jw93uwg9Lck8H6yIdk9fFUcsYcyyaIPfTfFAdJPQ5CtP1H07rSRpvv53puXuxqJAm1w8Vh-WIIvq4oKOZhzHHV4B1tN5IR1rTQEFdHFwGQ3cTi6C6gl3831AKdU8PCqHZ20FV1Q5hfVYtaiG2B11DmOixFmwYzCb5NfmD9-amkNQOUlYTI58scyYuq0~1V4KGXNxEQOeNtRwso~9QAILoJzON-Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/51045097/download_file?st=MTczMjQ1MTY4OSw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/51045097/mini_magick20190126-5467-1hrhgty.png?1548545615"}],"downloadable_attachments_with_full_thumbnails":[{"id":51045097,"asset_id":1276477,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/51045097/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/51045097/Anthropogenic_heat_in_the_city_of_So_Pau20161224-10335-7weskx-libre.pdf?1482622612=\u0026response-content-disposition=attachment%3B+filename%3DAnthropogenic_heat_in_the_city_of_Sao_Pa.pdf\u0026Expires=1732455289\u0026Signature=KMUqwZIiMwvxOmktq4rzS89qIfKLIBwIqu66ihgDWwSrkXm4JwqIS6yeRPlgCK56UtpOjKkQvUpAgOFKcOMn5FI5K4lzSy6BrKvyA~HVQZqVXdVilgyossTj1t5jw93uwg9Lck8H6yIdk9fFUcsYcyyaIPfTfFAdJPQ5CtP1H07rSRpvv53puXuxqJAm1w8Vh-WIIvq4oKOZhzHHV4B1tN5IR1rTQEFdHFwGQ3cTi6C6gl3831AKdU8PCqHZ20FV1Q5hfVYtaiG2B11DmOixFmwYzCb5NfmD9-amkNQOUlYTI58scyYuq0~1V4KGXNxEQOeNtRwso~9QAILoJzON-Q__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/51045097/download_file?st=MTczMjQ1MTY4OSw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/51045097/mini_magick20190126-5467-1hrhgty.png?1548545615"}],"has_pdf":true,"has_fulltext":true,"page_count":15,"ordered_authors":[{"id":1146171,"first_name":"Jacyra","last_name":"Soares","domain_name":"usp-br","page_name":"JacyraSoares","display_name":"Jacyra Soares","profile_url":"https://usp-br.academia.edu/JacyraSoares","photo":"https://0.academia-photos.com/1146171/403626/493417/s65_jacyra.soares.jpg"}],"research_interests":[{"id":7725,"name":"Urban Studies","url":"https://www.academia.edu/Documents/in/Urban_Studies","nofollow":false},{"id":79594,"name":"Urban Climate","url":"https://www.academia.edu/Documents/in/Urban_Climate","nofollow":false},{"id":369641,"name":"Anthropogenic heat","url":"https://www.academia.edu/Documents/in/Anthropogenic_heat","nofollow":false}],"publication_year":2010,"publication_year_with_fallback":2010,"paper_rank":null,"all_time_views":40,"active_discussion":{}}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_1276478" data-work_id="1276478" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/1276478/Study_of_the_equatorial_Atlantic_Ocean_mixing_layer_using_a_one_dimensional_turbulence_model">Study of the equatorial Atlantic Ocean mixing layer using a one-dimensional turbulence model</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The General Ocean Turbulence Model (GOTM) is applied to the diagnostic turbulence field of the mixing layer (ML) over the equatorial region of the Atlantic Ocean. Two situations were investigated: rainy and dry seasons, defined,... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_1276478" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The General Ocean Turbulence Model (GOTM) is applied to the diagnostic turbulence field of the mixing layer (ML) over the equatorial region of the Atlantic Ocean. Two situations were investigated: rainy and dry seasons, defined, respectively, by the presence of the intertropical convergence zone and by its northward displacement. Simulations were carried out using data from a PIRATA buoy located on the equator at 23º W to compute surface turbulent fluxes and from the NASA/GEWEX Surface Radiation Budget Project to close the surface radiation balance. A data assimilation scheme was used as a surrogate for the physical effects not present in the one-dimensional model. In the rainy season, results show that the ML is shallower due to the weaker surface stress and stronger stable stratification; the maximum ML depth reached during this season is around 15 m, with an averaged diurnal variation of 7 m depth. In the dry season, the stronger surface stress and the enhanced surface heat balance components enable higher mechanical production of turbulent kinetic energy and, at night, the buoyancy acts also enhancing turbulence in the first meters of depth, characterizing a deeper ML, reaching around 60 m and presenting an average diurnal variation of 30 m.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/1276478" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="d2ec7b1a2f47e43aef50948161cf6b6a" rel="nofollow" data-download="{"attachment_id":51045085,"asset_id":1276478,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/51045085/download_file?st=MTczMjQ1MTY4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1146171" href="https://usp-br.academia.edu/JacyraSoares">Jacyra Soares</a><script data-card-contents-for-user="1146171" type="text/json">{"id":1146171,"first_name":"Jacyra","last_name":"Soares","domain_name":"usp-br","page_name":"JacyraSoares","display_name":"Jacyra Soares","profile_url":"https://usp-br.academia.edu/JacyraSoares","photo":"https://0.academia-photos.com/1146171/403626/493417/s65_jacyra.soares.jpg"}</script></span></span></li><li class="js-paper-rank-work_1276478 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="1276478"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 1276478, container: ".js-paper-rank-work_1276478", }); 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$(".js-view-count[data-work-id=1276478]").text(description); $(".js-view-count-work_1276478").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_1276478").removeClass('hidden') })</script></div></li><li class="InlineList-item u-positionRelative" style="max-width: 250px"><div class="u-positionAbsolute" data-has-card-for-ri-list="1276478"><i class="fa fa-tag InlineList-item-icon u-positionRelative"></i>  <a class="InlineList-item-text u-positionRelative">3</a>  </div><span class="InlineList-item-text u-textTruncate u-pl9x"><a class="InlineList-item-text" data-has-card-for-ri="3984" href="https://www.academia.edu/Documents/in/Turbulence_Modelling">Turbulence Modelling</a>, <script data-card-contents-for-ri="3984" type="text/json">{"id":3984,"name":"Turbulence Modelling","url":"https://www.academia.edu/Documents/in/Turbulence_Modelling","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="369596" href="https://www.academia.edu/Documents/in/Ocean_mixing_layer">Ocean mixing layer</a>, <script data-card-contents-for-ri="369596" type="text/json">{"id":369596,"name":"Ocean mixing layer","url":"https://www.academia.edu/Documents/in/Ocean_mixing_layer","nofollow":false}</script><a class="InlineList-item-text" data-has-card-for-ri="369597" href="https://www.academia.edu/Documents/in/Equatorial_Atlantic_Ocean">Equatorial Atlantic Ocean</a><script data-card-contents-for-ri="369597" type="text/json">{"id":369597,"name":"Equatorial Atlantic Ocean","url":"https://www.academia.edu/Documents/in/Equatorial_Atlantic_Ocean","nofollow":false}</script></span></li><script>(function(){ if (true) { new Aedu.ResearchInterestListCard({ el: $('*[data-has-card-for-ri-list=1276478]'), work: {"id":1276478,"title":"Study of the equatorial Atlantic Ocean mixing layer using a one-dimensional turbulence model","created_at":"2012-01-23T00:58:13.294-08:00","owner_id":1146171,"url":"https://www.academia.edu/1276478/Study_of_the_equatorial_Atlantic_Ocean_mixing_layer_using_a_one_dimensional_turbulence_model","slug":"Study_of_the_equatorial_Atlantic_Ocean_mixing_layer_using_a_one_dimensional_turbulence_model","dom_id":"work_1276478","summary":"The General Ocean Turbulence Model (GOTM) is applied to the diagnostic turbulence field of the mixing layer (ML) over the equatorial region of the Atlantic Ocean. Two situations were investigated: rainy and dry seasons, defined, respectively, by the presence of the intertropical convergence zone and by its northward displacement. Simulations were carried out using data from a PIRATA buoy located on the equator at 23º W to compute surface turbulent fluxes and from the NASA/GEWEX Surface Radiation Budget Project to close the surface radiation balance. A data assimilation scheme was used as a surrogate for the physical effects not present in the one-dimensional model. In the rainy season, results show that the ML is shallower due to the weaker surface stress and stronger stable stratification; the maximum ML depth reached during this season is around 15 m, with an averaged diurnal variation of 7 m depth. In the dry season, the stronger surface stress and the enhanced surface heat balance components enable higher mechanical production of turbulent kinetic energy and, at night, the buoyancy acts also enhancing turbulence in the first meters of depth, characterizing a deeper ML, reaching around 60 m and presenting an average diurnal variation of 30 m.","publication":"Brazilian Journal of Oceanography","publication_with_fallback":"Brazilian Journal of Oceanography","downloadable_attachments":[{"id":51045085,"asset_id":1276478,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/51045085/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/51045085/STUDY_OF_THE_EQUATORIAL_ATLANTIC_OCEAN_M20161224-3642-1g0uikp-libre.pdf?1482622619=\u0026response-content-disposition=attachment%3B+filename%3DStudy_of_the_equatorial_Atlantic_Ocean_m.pdf\u0026Expires=1732169147\u0026Signature=SEfqZ4Z7VETus-d8B~w1RdN-GxMgS3tc1m5fUTH4GhwXKkvFOhVzlnexdcIEgDED71DZYvHlAMzeBT-htpBTG3r8bd9ZAj7PrDyHNoKHZJ5E37yzhB4p6K~oFfccbe0PbGoz9L0Ru8b5kwcXSasRt~wnQCnxLYuIGmItIStGf4dR50wvsIGO1C2X41pIGw~ssrvYHWJP6pd85wAjjPvVt3NiLru8zzZsaE6MNPYftBqf4BQbKNheE~KWi-X9ZRXaTMpU6u4LfhSUvGrvKBcCvml04aLrT6Vg~jUmbAzoHp7bu5K-r~qHbd2RL65FdnfnO-BD2yzJPxZyp~-JPKlreg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/51045085/download_file?st=MTczMjQ1MTY4OSw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/51045085/mini_magick20190126-5469-geokmq.png?1548545616"}],"downloadable_attachments_with_full_thumbnails":[{"id":51045085,"asset_id":1276478,"asset_type":"Work","always_allow_download":false,"scribd_thumbnail_url":"https://attachments.academia-assets.com/51045085/thumbnails/1.jpg","download_url":"https://d1wqtxts1xzle7.cloudfront.net/51045085/STUDY_OF_THE_EQUATORIAL_ATLANTIC_OCEAN_M20161224-3642-1g0uikp-libre.pdf?1482622619=\u0026response-content-disposition=attachment%3B+filename%3DStudy_of_the_equatorial_Atlantic_Ocean_m.pdf\u0026Expires=1732169147\u0026Signature=SEfqZ4Z7VETus-d8B~w1RdN-GxMgS3tc1m5fUTH4GhwXKkvFOhVzlnexdcIEgDED71DZYvHlAMzeBT-htpBTG3r8bd9ZAj7PrDyHNoKHZJ5E37yzhB4p6K~oFfccbe0PbGoz9L0Ru8b5kwcXSasRt~wnQCnxLYuIGmItIStGf4dR50wvsIGO1C2X41pIGw~ssrvYHWJP6pd85wAjjPvVt3NiLru8zzZsaE6MNPYftBqf4BQbKNheE~KWi-X9ZRXaTMpU6u4LfhSUvGrvKBcCvml04aLrT6Vg~jUmbAzoHp7bu5K-r~qHbd2RL65FdnfnO-BD2yzJPxZyp~-JPKlreg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA","download_file_url":"https://www.academia.edu/attachments/51045085/download_file?st=MTczMjQ1MTY4OSw4LjIyMi4yMDguMTQ2&","full_thumbnail_url":"https://0.academia-photos.com/attachment_thumbnails/51045085/mini_magick20190126-5469-geokmq.png?1548545616"}],"has_pdf":true,"has_fulltext":true,"page_count":14,"ordered_authors":[{"id":1146171,"first_name":"Jacyra","last_name":"Soares","domain_name":"usp-br","page_name":"JacyraSoares","display_name":"Jacyra Soares","profile_url":"https://usp-br.academia.edu/JacyraSoares","photo":"https://0.academia-photos.com/1146171/403626/493417/s65_jacyra.soares.jpg"}],"research_interests":[{"id":3984,"name":"Turbulence Modelling","url":"https://www.academia.edu/Documents/in/Turbulence_Modelling","nofollow":false},{"id":369596,"name":"Ocean mixing layer","url":"https://www.academia.edu/Documents/in/Ocean_mixing_layer","nofollow":false},{"id":369597,"name":"Equatorial Atlantic Ocean","url":"https://www.academia.edu/Documents/in/Equatorial_Atlantic_Ocean","nofollow":false}],"publication_year":2010,"publication_year_with_fallback":2010,"paper_rank":null,"all_time_views":21,"active_discussion":{}}, }) } })();</script></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_1276480" data-work_id="1276480" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 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workId = 1276480; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-percentile-work_1276480"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></li><li class="js-view-count-work_1276480 InlineList-item InlineList-item--bordered hidden"><div><span><span class="js-view-count view-count u-mr2x" data-work-id="1276480"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 1276480; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=1276480]").text(description); $(".js-view-count-work_1276480").attr('title', description).tooltip(); }); });</script></span><script>$(function() { $(".js-view-count-work_1276480").removeClass('hidden') })</script></div></li></ul></li></ul></div></div><div class="u-borderBottom1 u-borderColorGrayLighter"><div class="clearfix u-pv7x u-mb0x js-work-card work_1276481" data-work_id="1276481" itemscope="itemscope" itemtype="https://schema.org/ScholarlyArticle"><div class="header"><div class="title u-fontSerif u-fs22 u-lineHeight1_3"><a class="u-tcGrayDarkest js-work-link" href="https://www.academia.edu/1276481/Ratios_of_UV_PAR_and_NIR_components_to_global_solar_radiation_measured_at_Botucatu_site_in_Brazil">Ratios of UV, PAR and NIR components to global solar radiation measured at Botucatu site in Brazil</a></div></div><div class="u-pb4x u-mt3x"><div class="summary u-fs14 u-fw300 u-lineHeight1_5 u-tcGrayDarkest"><div class="summarized">The relationships between the four radiant fluxes are analyzed based on a 4 year data archive of hourly and daily global ultraviolet (IUV), photosynthetically active-PAR (IPAR), near infrared (INIR) and broadband global solar radiation... <a class="more_link u-tcGrayDark u-linkUnstyled" data-container=".work_1276481" data-show=".complete" data-hide=".summarized" data-more-link-behavior="true" href="#">more</a></div><div class="complete hidden">The relationships between the four radiant fluxes are analyzed based on a 4 year data archive of hourly and daily global ultraviolet (IUV), photosynthetically active-PAR (IPAR), near infrared (INIR) and broadband global solar radiation (IG) collected at Botucatu, Brazil. These data are used to establish both the fractions of spectral components to global solar radiation and the proposed linear regression models. Verification results indicated that the proposed regression models predict accurately the spectral radiant fluxes at least for the Brazilian environment. Finally, results obtained in this analysis agreed well with most published results in the literature.</div></div></div><ul class="InlineList u-ph0x u-fs13"><li class="InlineList-item logged_in_only"><div class="share_on_academia_work_button"><a class="academia_share Button Button--inverseBlue Button--sm js-bookmark-button" data-academia-share="Work/1276481" data-share-source="work_strip" data-spinner="small_white_hide_contents"><i class="fa fa-plus"></i><span class="work-strip-link-text u-ml1x" data-content="button_text">Bookmark</span></a></div></li><li class="InlineList-item"><div class="download"><a id="aae0f90cec538049e0790cb75cb4cace" rel="nofollow" data-download="{"attachment_id":51045077,"asset_id":1276481,"asset_type":"Work","always_allow_download":false,"track":null,"button_location":"work_strip","source":null,"hide_modal":null}" class="Button Button--sm Button--inverseGreen js-download-button prompt_button doc_download" href="https://www.academia.edu/attachments/51045077/download_file?st=MTczMjQ1MTY4OSw4LjIyMi4yMDguMTQ2&s=work_strip"><i class="fa fa-arrow-circle-o-down fa-lg"></i><span class="u-textUppercase u-ml1x" data-content="button_text">Download</span></a></div></li><li class="InlineList-item"><ul class="InlineList InlineList--bordered u-ph0x"><li class="InlineList-item InlineList-item--bordered"><span class="InlineList-item-text">by <span itemscope="itemscope" itemprop="author" itemtype="https://schema.org/Person"><a class="u-tcGrayDark u-fw700" data-has-card-for-user="1146171" href="https://usp-br.academia.edu/JacyraSoares">Jacyra Soares</a><script data-card-contents-for-user="1146171" type="text/json">{"id":1146171,"first_name":"Jacyra","last_name":"Soares","domain_name":"usp-br","page_name":"JacyraSoares","display_name":"Jacyra Soares","profile_url":"https://usp-br.academia.edu/JacyraSoares","photo":"https://0.academia-photos.com/1146171/403626/493417/s65_jacyra.soares.jpg"}</script></span></span></li><li class="js-paper-rank-work_1276481 InlineList-item InlineList-item--bordered hidden"><span class="js-paper-rank-view hidden u-tcGrayDark" data-paper-rank-work-id="1276481"><i class="u-m1x fa fa-bar-chart"></i><strong class="js-paper-rank"></strong></span><script>$(function() { new Works.PaperRankView({ workId: 1276481, container: ".js-paper-rank-work_1276481", }); 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