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altimetry</title> <meta name="description" content="Search results for: altimetry"> <meta name="keywords" content="altimetry"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler ml-auto" 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id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="altimetry"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 11</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: altimetry</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">11</span> Long-Term Trends of Sea Level and Sea Surface Temperature in the Mediterranean Sea</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bayoumy%20Mohamed">Bayoumy Mohamed</a>, <a href="https://publications.waset.org/abstracts/search?q=Khaled%20Alam%20El-Din"> Khaled Alam El-Din </a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the present study, 24 years of gridded sea level anomalies (SLA) from satellite altimetry and sea surface temperature (SST) from advanced very-high-resolution radiometer (AVHRR) daily data (1993-2016) are used. These data have been used to investigate the sea level rising and warming rates of SST, and their spatial distribution in the Mediterranean Sea. The results revealed that there is a significant sea level rise in the Mediterranean Sea of 2.86 ± 0.45 mm/year together with a significant warming of 0.037 ± 0.007 °C/year. The high spatial correlation between sea level and SST variations suggests that at least part of the sea level change reported during the period of study was due to heating of surface layers. This indicated that the steric effect had a significant influence on sea level change in the Mediterranean Sea. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=altimetry" title="altimetry">altimetry</a>, <a href="https://publications.waset.org/abstracts/search?q=AVHRR" title=" AVHRR"> AVHRR</a>, <a href="https://publications.waset.org/abstracts/search?q=Mediterranean%20Sea" title=" Mediterranean Sea"> Mediterranean Sea</a>, <a href="https://publications.waset.org/abstracts/search?q=sea%20level%20and%20SST%20changes" title=" sea level and SST changes"> sea level and SST changes</a>, <a href="https://publications.waset.org/abstracts/search?q=trend%20analysis" title=" trend analysis"> trend analysis</a> </p> <a href="https://publications.waset.org/abstracts/103295/long-term-trends-of-sea-level-and-sea-surface-temperature-in-the-mediterranean-sea" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/103295.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">194</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">10</span> A Comparison between the Results of Hormuz Strait Wave Simulations Using WAVEWATCH-III and MIKE21-SW and Satellite Altimetry Observations</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fatemeh%20Sadat%20Sharifi">Fatemeh Sadat Sharifi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the present study, the capabilities of WAVEWATCH-III and MIKE21-SW for predicting the characteristics of wind waves in Hormuz Strait are evaluated. The GFS wind data (Global Forecast System) were derived. The bathymetry of gride with 2 arc-minute resolution, also were extracted from the ETOPO1. WAVEWATCH-III findings illustrate more valid prediction of wave features comparing to the MIKE-21 SW in deep water. Apparently, in shallow area, the MIKE-21 provides more uniformities with altimetry measurements. This may be due to the merits of the unstructured grid which are used in MIKE-21, leading to better representations of the coastal area. The findings on the direction of waves generated by wind in the modeling area indicate that in some regions, despite the increase in wind speed, significant wave height stays nearly unchanged. This is fundamental because of swift changes in wind track over the Strait of Hormuz. After discussing wind-induced waves in the region, the impact of instability of the surface layer on wave growth has been considered. For this purpose, the average monthly mean air temperature has been used. The results in cold months, when the surface layer is unstable, indicates an acceptable increase in the accuracy of prediction of the indicator wave height. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=numerical%20modeling" title="numerical modeling">numerical modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=WAVEWATCH-III" title=" WAVEWATCH-III"> WAVEWATCH-III</a>, <a href="https://publications.waset.org/abstracts/search?q=Strait%20of%20Hormuz" title=" Strait of Hormuz"> Strait of Hormuz</a>, <a href="https://publications.waset.org/abstracts/search?q=MIKE21-SW" title=" MIKE21-SW "> MIKE21-SW </a> </p> <a href="https://publications.waset.org/abstracts/77494/a-comparison-between-the-results-of-hormuz-strait-wave-simulations-using-wavewatch-iii-and-mike21-sw-and-satellite-altimetry-observations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/77494.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">207</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">9</span> Method for Improving ICESAT-2 ATL13 Altimetry Data Utility on Rivers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yun%20Chen">Yun Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Qihang%20Liu"> Qihang Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Catherine%20Ticehurst"> Catherine Ticehurst</a>, <a href="https://publications.waset.org/abstracts/search?q=Chandrama%20Sarker"> Chandrama Sarker</a>, <a href="https://publications.waset.org/abstracts/search?q=Fazlul%20Karim"> Fazlul Karim</a>, <a href="https://publications.waset.org/abstracts/search?q=Dave%20Penton"> Dave Penton</a>, <a href="https://publications.waset.org/abstracts/search?q=Ashmita%20Sengupta"> Ashmita Sengupta</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The application of ICESAT-2 altimetry data in river hydrology critically depends on the accuracy of the mean water surface elevation (WSE) at a virtual station (VS) where satellite observations intersect with water. The ICESAT-2 track generates multiple VSs as it crosses the different water bodies. The difficulties are particularly pronounced in large river basins where there are many tributaries and meanders often adjacent to each other. One challenge is to split photon segments along a beam to accurately partition them to extract only the true representative water height for individual elements. As far as we can establish, there is no automated procedure to make this distinction. Earlier studies have relied on human intervention or river masks. Both approaches are unsatisfactory solutions where the number of intersections is large, and river width/extent changes over time. We describe here an automated approach called “auto-segmentation”. The accuracy of our method was assessed by comparison with river water level observations at 10 different stations on 37 different dates along the Lower Murray River, Australia. The congruence is very high and without detectable bias. In addition, we compared different outlier removal methods on the mean WSE calculation at VSs post the auto-segmentation process. All four outlier removal methods perform almost equally well with the same R2 value (0.998) and only subtle variations in RMSE (0.181–0.189m) and MAE (0.130–0.142m). Overall, the auto-segmentation method developed here is an effective and efficient approach to deriving accurate mean WSE at river VSs. It provides a much better way of facilitating the application of ICESAT-2 ATL13 altimetry to rivers compared to previously reported studies. Therefore, the findings of our study will make a significant contribution towards the retrieval of hydraulic parameters, such as water surface slope along the river, water depth at cross sections, and river channel bathymetry for calculating flow velocity and discharge from remotely sensed imagery at large spatial scales. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=lidar%20sensor" title="lidar sensor">lidar sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=virtual%20station" title=" virtual station"> virtual station</a>, <a href="https://publications.waset.org/abstracts/search?q=cross%20section" title=" cross section"> cross section</a>, <a href="https://publications.waset.org/abstracts/search?q=mean%20water%20surface%20elevation" title=" mean water surface elevation"> mean water surface elevation</a>, <a href="https://publications.waset.org/abstracts/search?q=beam%2Ftrack%20segmentation" title=" beam/track segmentation"> beam/track segmentation</a> </p> <a href="https://publications.waset.org/abstracts/178818/method-for-improving-icesat-2-atl13-altimetry-data-utility-on-rivers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/178818.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">62</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8</span> Comparison of Slope Data between Google Earth and the Digital Terrain Model, for Registration in Car</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Andr%C3%A9%20Felipe%20Gimenez">André Felipe Gimenez</a>, <a href="https://publications.waset.org/abstracts/search?q=Fl%C3%A1via%20Alessandra%20Ribeiro%20da%20Silva"> Flávia Alessandra Ribeiro da Silva</a>, <a href="https://publications.waset.org/abstracts/search?q=Roberto%20Saverio%20Souza%20Costa"> Roberto Saverio Souza Costa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Currently, the rural producer has been facing problems regarding environmental regularization, which is precisely why the CAR (Rural Environmental Registry) was created. CAR is an electronic registry for rural properties with the purpose of assimilating notions about legal reserve areas, permanent preservation areas, areas of limited use, stable areas, forests and remnants of native vegetation, and all rural properties in Brazil. . The objective of this work was to evaluate and compare altimetry and slope data from google Earth with a digital terrain model (MDT) generated by aerophotogrammetry, in three plots of a steep slope, for the purpose of declaration in the CAR (Rural Environmental Registry). The realization of this work is justified in these areas, in which rural landowners have doubts about the reliability of the use of the free software Google Earth to diagnose inclinations greater than 25 degrees, as recommended by federal law 12651/2012. Added to the fact that in the literature, there is a deficiency of this type of study for the purpose of declaration of the CAR. The results showed that when comparing the drone altimetry data with the Google Earth image data, in areas of high slope (above 40% slope), Google underestimated the real values of terrain slope. Thus, it is concluded that Google Earth is not reliable for diagnosing areas with an inclination greater than 25 degrees (46% declivity) for the purpose of declaration in the CAR, being essential to carry out the local topographic survey. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=MDT" title="MDT">MDT</a>, <a href="https://publications.waset.org/abstracts/search?q=drone" title=" drone"> drone</a>, <a href="https://publications.waset.org/abstracts/search?q=RPA" title=" RPA"> RPA</a>, <a href="https://publications.waset.org/abstracts/search?q=SiCar" title=" SiCar"> SiCar</a>, <a href="https://publications.waset.org/abstracts/search?q=photogrammetry" title=" photogrammetry"> photogrammetry</a> </p> <a href="https://publications.waset.org/abstracts/152861/comparison-of-slope-data-between-google-earth-and-the-digital-terrain-model-for-registration-in-car" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/152861.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">131</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">7</span> Use of Satellite Altimetry and Moderate Resolution Imaging Technology of Flood Extent to Support Seasonal Outlooks of Nuisance Flood Risk along United States Coastlines and Managed Areas</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Varis%20Ransibrahmanakul">Varis Ransibrahmanakul</a>, <a href="https://publications.waset.org/abstracts/search?q=Doug%20Pirhalla"> Doug Pirhalla</a>, <a href="https://publications.waset.org/abstracts/search?q=Scott%20Sheridan"> Scott Sheridan</a>, <a href="https://publications.waset.org/abstracts/search?q=Cameron%20Lee"> Cameron Lee</a> </p> <p class="card-text"><strong>Abstract:</strong></p> U.S. coastal areas and ecosystems are facing multiple sea level rise threats and effects: heavy rain events, cyclones, and changing wind and weather patterns all influence coastal flooding, sedimentation, and erosion along critical barrier islands and can strongly impact habitat resiliency and water quality in protected habitats. These impacts are increasing over time and have accelerated the need for new tracking techniques, models and tools of flood risk to support enhanced preparedness for coastal management and mitigation. To address this issue, NOAA National Ocean Service (NOS) evaluated new metrics from satellite altimetry AVISO/Copernicus and MODIS IR flood extents to isolate nodes atmospheric variability indicative of elevated sea level and nuisance flood events. Using de-trended time series of cross-shelf sea surface heights (SSH), we identified specific Self Organizing Maps (SOM) nodes and transitions having a strongest regional association with oceanic spatial patterns (e.g., heightened downwelling favorable wind-stress and enhanced southward coastal transport) indicative of elevated coastal sea levels. Results show the impacts of the inverted barometer effect as well as the effects of surface wind forcing; Ekman-induced transport along broad expanses of the U.S. eastern coastline. Higher sea levels and corresponding localized flooding are associated with either pattern indicative of enhanced on-shore flow, deepening cyclones, or local- scale winds, generally coupled with an increased local to regional precipitation. These findings will support an integration of satellite products and will inform seasonal outlook model development supported through NOAAs Climate Program Office and NOS office of Center for Operational Oceanographic Products and Services (CO-OPS). Overall results will prioritize ecological areas and coastal lab facilities at risk based on numbers of nuisance flood projected and inform coastal management of flood risk around low lying areas subjected to bank erosion. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=AVISO%20satellite%20altimetry%20SSHA" title="AVISO satellite altimetry SSHA">AVISO satellite altimetry SSHA</a>, <a href="https://publications.waset.org/abstracts/search?q=MODIS%20IR%20flood%20map" title=" MODIS IR flood map"> MODIS IR flood map</a>, <a href="https://publications.waset.org/abstracts/search?q=nuisance%20flood" title=" nuisance flood"> nuisance flood</a>, <a href="https://publications.waset.org/abstracts/search?q=remote%20sensing%20of%20flood" title=" remote sensing of flood"> remote sensing of flood</a> </p> <a href="https://publications.waset.org/abstracts/92370/use-of-satellite-altimetry-and-moderate-resolution-imaging-technology-of-flood-extent-to-support-seasonal-outlooks-of-nuisance-flood-risk-along-united-states-coastlines-and-managed-areas" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/92370.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">143</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">6</span> Seafloor and Sea Surface Modelling in the East Coast Region of North America</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Magdalena%20Idzikowska">Magdalena Idzikowska</a>, <a href="https://publications.waset.org/abstracts/search?q=Katarzyna%20Paj%C4%85k"> Katarzyna Pająk</a>, <a href="https://publications.waset.org/abstracts/search?q=Kamil%20Kowalczyk"> Kamil Kowalczyk</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Seafloor topography is a fundamental issue in geological, geophysical, and oceanographic studies. Single-beam or multibeam sonars attached to the hulls of ships are used to emit a hydroacoustic signal from transducers and reproduce the topography of the seabed. This solution provides relevant accuracy and spatial resolution. Bathymetric data from ships surveys provides National Centers for Environmental Information – National Oceanic and Atmospheric Administration. Unfortunately, most of the seabed is still unidentified, as there are still many gaps to be explored between ship survey tracks. Moreover, such measurements are very expensive and time-consuming. The solution is raster bathymetric models shared by The General Bathymetric Chart of the Oceans. The offered products are a compilation of different sets of data - raw or processed. Indirect data for the development of bathymetric models are also measurements of gravity anomalies. Some forms of seafloor relief (e.g. seamounts) increase the force of the Earth's pull, leading to changes in the sea surface. Based on satellite altimetry data, Sea Surface Height and marine gravity anomalies can be estimated, and based on the anomalies, it’s possible to infer the structure of the seabed. The main goal of the work is to create regional bathymetric models and models of the sea surface in the area of the east coast of North America – a region of seamounts and undulating seafloor. The research includes an analysis of the methods and techniques used, an evaluation of the interpolation algorithms used, model thickening, and the creation of grid models. Obtained data are raster bathymetric models in NetCDF format, survey data from multibeam soundings in MB-System format, and satellite altimetry data from Copernicus Marine Environment Monitoring Service. The methodology includes data extraction, processing, mapping, and spatial analysis. Visualization of the obtained results was carried out with Geographic Information System tools. The result is an extension of the state of the knowledge of the quality and usefulness of the data used for seabed and sea surface modeling and knowledge of the accuracy of the generated models. Sea level is averaged over time and space (excluding waves, tides, etc.). Its changes, along with knowledge of the topography of the ocean floor - inform us indirectly about the volume of the entire water ocean. The true shape of the ocean surface is further varied by such phenomena as tides, differences in atmospheric pressure, wind systems, thermal expansion of water, or phases of ocean circulation. Depending on the location of the point, the higher the depth, the lower the trend of sea level change. Studies show that combining data sets, from different sources, with different accuracies can affect the quality of sea surface and seafloor topography models. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=seafloor" title="seafloor">seafloor</a>, <a href="https://publications.waset.org/abstracts/search?q=sea%20surface%20height" title=" sea surface height"> sea surface height</a>, <a href="https://publications.waset.org/abstracts/search?q=bathymetry" title=" bathymetry"> bathymetry</a>, <a href="https://publications.waset.org/abstracts/search?q=satellite%20altimetry" title=" satellite altimetry"> satellite altimetry</a> </p> <a href="https://publications.waset.org/abstracts/164583/seafloor-and-sea-surface-modelling-in-the-east-coast-region-of-north-america" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/164583.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">79</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5</span> Algal Mat Shift to Marsh Domain in Sandy and Muddy Tidal Flat: Examples the Gulf of Gabes, SE Tunisia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Maher%20Gzam">Maher Gzam</a>, <a href="https://publications.waset.org/abstracts/search?q=Noureddine%20Elmejdoub"> Noureddine Elmejdoub</a>, <a href="https://publications.waset.org/abstracts/search?q=Younes%20Jedoui"> Younes Jedoui</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Physical parameters involved in the depositional process on stromatolites, which grow in salt marsh domain, are elucidated in this study. Stromatolites start to grow where surface altimetry of the intertidal flat is high enough to reduce water cover (above mean high tide) and to guarantee a lamellar stream flow. Stromatolite aggrades as a thick laminated layer (stromatolite package) allowing pioneer vascular plants (Salicornia Arabica) to colonize this elevated area (6 cm a.m.s.l). In turn halophytic plant, regularly flooded on spring tide, reduce hydrodynamics velocities causing deposition of sediment, as a result, intertidal zone shift on the flat surface with an expanded marsh domain. This positive feedback invokes self organization between stromatolite growth, vegetation proliferation and deposition of sediment and may be applicable to ancient progradational sequence. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=stromatolites" title="stromatolites">stromatolites</a>, <a href="https://publications.waset.org/abstracts/search?q=marsh" title=" marsh"> marsh</a>, <a href="https://publications.waset.org/abstracts/search?q=deposition%20of%20sediment" title=" deposition of sediment"> deposition of sediment</a>, <a href="https://publications.waset.org/abstracts/search?q=aggradation" title=" aggradation"> aggradation</a>, <a href="https://publications.waset.org/abstracts/search?q=progradation" title=" progradation"> progradation</a>, <a href="https://publications.waset.org/abstracts/search?q=gulf%20of%20Gabes" title=" gulf of Gabes"> gulf of Gabes</a>, <a href="https://publications.waset.org/abstracts/search?q=Tunisia" title=" Tunisia"> Tunisia</a> </p> <a href="https://publications.waset.org/abstracts/37199/algal-mat-shift-to-marsh-domain-in-sandy-and-muddy-tidal-flat-examples-the-gulf-of-gabes-se-tunisia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/37199.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">335</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4</span> Neural Network Approaches for Sea Surface Height Predictability Using Sea Surface Temperature</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Luther%20Ollier">Luther Ollier</a>, <a href="https://publications.waset.org/abstracts/search?q=Sylvie%20Thiria"> Sylvie Thiria</a>, <a href="https://publications.waset.org/abstracts/search?q=Anastase%20Charantonis"> Anastase Charantonis</a>, <a href="https://publications.waset.org/abstracts/search?q=Carlos%20E.%20Mejia"> Carlos E. Mejia</a>, <a href="https://publications.waset.org/abstracts/search?q=Michel%20Cr%C3%A9pon"> Michel Crépon</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Sea Surface Height Anomaly (SLA) is a signature of the sub-mesoscale dynamics of the upper ocean. Sea Surface Temperature (SST) is driven by these dynamics and can be used to improve the spatial interpolation of SLA fields. In this study, we focused on the temporal evolution of SLA fields. We explored the capacity of deep learning (DL) methods to predict short-term SLA fields using SST fields. We used simulated daily SLA and SST data from the Mercator Global Analysis and Forecasting System, with a resolution of (1/12)◦ in the North Atlantic Ocean (26.5-44.42◦N, -64.25–41.83◦E), covering the period from 1993 to 2019. Using a slightly modified image-to-image convolutional DL architecture, we demonstrated that SST is a relevant variable for controlling the SLA prediction. With a learning process inspired by the teaching-forcing method, we managed to improve the SLA forecast at five days by using the SST fields as additional information. We obtained predictions of a 12 cm (20 cm) error of SLA evolution for scales smaller than mesoscales and at time scales of 5 days (20 days), respectively. Moreover, the information provided by the SST allows us to limit the SLA error to 16 cm at 20 days when learning the trajectory. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=deep-learning" title="deep-learning">deep-learning</a>, <a href="https://publications.waset.org/abstracts/search?q=altimetry" title=" altimetry"> altimetry</a>, <a href="https://publications.waset.org/abstracts/search?q=sea%20surface%20temperature" title=" sea surface temperature"> sea surface temperature</a>, <a href="https://publications.waset.org/abstracts/search?q=forecast" title=" forecast"> forecast</a> </p> <a href="https://publications.waset.org/abstracts/170355/neural-network-approaches-for-sea-surface-height-predictability-using-sea-surface-temperature" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/170355.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">90</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3</span> Cfd Simulation for Urban Environment for Evaluation of a Wind Energy Potential of a Building or a New Urban Planning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=David%20Serero">David Serero</a>, <a href="https://publications.waset.org/abstracts/search?q=Loic%20Couton"> Loic Couton</a>, <a href="https://publications.waset.org/abstracts/search?q=Jean-Denis%20Parisse"> Jean-Denis Parisse</a>, <a href="https://publications.waset.org/abstracts/search?q=Robert%20Leroy"> Robert Leroy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents an analysis method of airflow at the periphery of several typologies of architectural volumes. To understand the complexity of the urban environment on the airflows in the city, we compared three sites at different architectural scale. The research sets a method to identify the optimal location for the installation of wind turbines on the edges of a building and to achieve an improvement in the performance of energy extracted by precise localization of an accelerating wing called “aero foil”. The objective is to define principles for the installation of wind turbines and natural ventilation design of buildings. Instead of theoretical winds analysis, we combined numerical aeraulic simulations using STAR CCM + software with wind data, over long periods of time (greater than 1 year). If airflows computer fluid analysis (CFD) simulation of buildings are current, we have calibrated a virtual wind tunnel with wind data using in situ anemometers (to establish localized cartography of urban winds). We can then develop a complete volumetric model of the behavior of the wind on a roof area, or an entire urban island. With this method, we can categorize: - the different types of wind in urban areas and identify the minimum and maximum wind spectrum, - select the type of harvesting devices - fixing to the roof of a building, - the altimetry of the device in relation to the levels of the roofs - The potential nuisances around. This study is carried out from the recovery of a geolocated data flow, and the connection of this information with the technical specifications of wind turbines, their energy performance and their speed of engagement. Thanks to this method, we can thus define the characteristics of wind turbines to maximize their performance in urban sites and in a turbulent airflow regime. We also study the installation of a wind accelerator associated with buildings. The “aerofoils which are integrated are improvement to control the speed of the air, to orientate it on the wind turbine, to accelerate it and to hide, thanks to its profile, the device on the roof of the building. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=wind%20energy%20harvesting" title="wind energy harvesting">wind energy harvesting</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20turbine%20selection" title=" wind turbine selection"> wind turbine selection</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20wind%20potential%20analysis" title=" urban wind potential analysis"> urban wind potential analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=CFD%20simulation%20for%20architectural%20design" title=" CFD simulation for architectural design"> CFD simulation for architectural design</a> </p> <a href="https://publications.waset.org/abstracts/129380/cfd-simulation-for-urban-environment-for-evaluation-of-a-wind-energy-potential-of-a-building-or-a-new-urban-planning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/129380.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">150</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2</span> Simulation of Technological, Energy and GHG Comparison between a Conventional Diesel Bus and E-bus: Feasibility to Promote E-bus Change in High Lands Cities</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Riofrio%20Jonathan">Riofrio Jonathan</a>, <a href="https://publications.waset.org/abstracts/search?q=Fernandez%20Guillermo"> Fernandez Guillermo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Renewable energy represented around 80% of the energy matrix for power generation in Ecuador during 2020, so the deployment of current public policies is focused on taking advantage of the high presence of renewable sources to carry out several electrification projects. These projects are part of the portfolio sent to the United Nations Framework on Climate Change (UNFCCC) as a commitment to reduce greenhouse gas emissions (GHG) in the established national determined contribution (NDC). In this sense, the Ecuadorian Organic Energy Efficiency Law (LOEE) published in 2019 promotes E-mobility as one of the main milestones. In fact, it states that the new vehicles for urban and interurban usage must be E-buses since 2025. As a result, and for a successful implementation of this technological change in a national context, it is important to deploy land surveys focused on technical and geographical areas to keep the quality of services in both the electricity and transport sectors. Therefore, this research presents a technological and energy comparison between a conventional diesel bus and its equivalent E-bus. Both vehicles fulfill all the technical requirements to ride in the study-case city, which is Ambato in the province of Tungurahua-Ecuador. In addition, the analysis includes the development of a model for the energy estimation of both technologies that are especially applied in a highland city such as Ambato. The altimetry of the most important bus routes in the city varies from 2557 to 3200 m.a.s.l., respectively, for the lowest and highest points. These operation conditions provide a grade of novelty to this paper. Complementary, the technical specifications of diesel buses are defined following the common features of buses registered in Ambato. On the other hand, the specifications for E-buses come from the most common units introduced in Latin America because there is not enough evidence in similar cities at the moment. The achieved results will be good input data for decision-makers since electric demand forecast, energy savings, costs, and greenhouse gases emissions are computed. Indeed, GHG is important because it allows reporting the transparency framework that it is part of the Paris Agreement. Finally, the presented results correspond to stage I of the called project “Analysis and Prospective of Electromobility in Ecuador and Energy Mix towards 2030” supported by Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=high%20altitude%20cities" title="high altitude cities">high altitude cities</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20planning" title=" energy planning"> energy planning</a>, <a href="https://publications.waset.org/abstracts/search?q=NDC" title=" NDC"> NDC</a>, <a href="https://publications.waset.org/abstracts/search?q=e-buses" title=" e-buses"> e-buses</a>, <a href="https://publications.waset.org/abstracts/search?q=e-mobility" title=" e-mobility"> e-mobility</a> </p> <a href="https://publications.waset.org/abstracts/142982/simulation-of-technological-energy-and-ghg-comparison-between-a-conventional-diesel-bus-and-e-bus-feasibility-to-promote-e-bus-change-in-high-lands-cities" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/142982.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">151</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> Architectural Wind Data Maps Using an Array of Wireless Connected Anemometers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=D.%20Serero">D. Serero</a>, <a href="https://publications.waset.org/abstracts/search?q=L.%20Couton"> L. Couton</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20D.%20Parisse"> J. D. Parisse</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20Leroy"> R. Leroy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In urban planning, an increasing number of cities require wind analysis to verify comfort of public spaces and around buildings. These studies are made using computer fluid dynamic simulation (CFD). However, this technique is often based on wind information taken from meteorological stations located at several kilometers of the spot of analysis. The approximated input data on project surroundings produces unprecise results for this type of analysis. They can only be used to get general behavior of wind in a zone but not to evaluate precise wind speed. This paper presents another approach to this problem, based on collecting wind data and generating an urban wind cartography using connected ultrasound anemometers. They are wireless devices that send immediate data on wind to a remote server. Assembled in array, these devices generate geo-localized data on wind such as speed, temperature, pressure and allow us to compare wind behavior on a specific site or building. These Netatmo-type anemometers communicate by wifi with central equipment, which shares data acquired by a wide variety of devices such as wind speed, indoor and outdoor temperature, rainfall, and sunshine. Beside its precision, this method extracts geo-localized data on any type of site that can be feedback looped in the architectural design of a building or a public place. Furthermore, this method allows a precise calibration of a virtual wind tunnel using numerical aeraulic simulations (like STAR CCM + software) and then to develop the complete volumetric model of wind behavior over a roof area or an entire city block. The paper showcases connected ultrasonic anemometers, which were implanted for an 18 months survey on four study sites in the Grand Paris region. This case study focuses on Paris as an urban environment with multiple historical layers whose diversity of typology and buildings allows considering different ways of capturing wind energy. The objective of this approach is to categorize the different types of wind in urban areas. This, particularly the identification of the minimum and maximum wind spectrum, helps define the choice and performance of wind energy capturing devices that could be implanted there. The localization on the roof of a building, the type of wind, the altimetry of the device in relation to the levels of the roofs, the potential nuisances generated. The method allows identifying the characteristics of wind turbines in order to maximize their performance in an urban site with turbulent wind. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=computer%20fluid%20dynamic%20simulation%20in%20urban%20environment" title="computer fluid dynamic simulation in urban environment">computer fluid dynamic simulation in urban environment</a>, <a href="https://publications.waset.org/abstracts/search?q=wind%20energy%20harvesting%20devices" title=" wind energy harvesting devices"> wind energy harvesting devices</a>, <a href="https://publications.waset.org/abstracts/search?q=net-zero%20energy%20building" title=" net-zero energy building"> net-zero energy building</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20wind%20behavior%20simulation" title=" urban wind behavior simulation"> urban wind behavior simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=advanced%20building%20skin%20design%20methodology" title=" advanced building skin design methodology"> advanced building skin design methodology</a> </p> <a href="https://publications.waset.org/abstracts/129370/architectural-wind-data-maps-using-an-array-of-wireless-connected-anemometers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/129370.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">101</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> 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