Search results for "downscalin"

showing 5 items of 45 documents

Downscaling and improving the wind forecasts from NWP for wind energy applications using support vector regression

2020

Abstract The stochastic nature of wind poses challenges in the large scale integration of wind energy with the grid. Wind characteristics at a site may significantly vary with time. which will be reflected on the wind power production. Understanding and managing such variations could be challenging for wind farm owners. energy traders and grid operators. In this work. we propose models based on support vector regression (SVR) to downscale the speed and direction of wind at a specific site using both historical observed measurements and numerical weather predictions (NWP). Several meteorological variables. considered to have potential influence on the wind. were used in the feature selection…

Support vector machineHistoryWind powerMeteorologyVDP::Matematikk og Naturvitenskap: 400::Fysikk: 430business.industryEnvironmental sciencebusinessComputer Science ApplicationsEducationDownscaling
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Monitoring 10-m LST from the Combination MODIS/Sentinel-2, Validation in a High Contrast Semi-Arid Agroecosystem

2020

Downscaling techniques offer a solution to the lack of high-resolution satellite Thermal InfraRed (TIR) data and can bridge the gap until operational TIR missions accomplishing spatio-temporal requirements are available. These techniques are generally based on the Visible Near InfraRed (VNIR)-TIR variable relations at a coarse spatial resolution, and the assumption that the relationship between spectral bands is independent of the spatial resolution. In this work, we adopted a previous downscaling method and introduced some adjustments to the original formulation to improve the model performance. Maps of Land Surface Temperature (LST) with 10-m spatial resolution were obtained as output fro…

Teledetecció010504 meteorology & atmospheric sciencesScience0211 other engineering and technologiesland surface temperature02 engineering and technology01 natural sciencesCopernicus.DownscalingImage resolution021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingPixelQSpectral bandsVegetationTemperaturaDownscaling; thermal infrared; land surface temperature; disaggregation; CopernicusVNIRdisaggregationSoil waterGeneral Earth and Planetary SciencesEnvironmental sciencethermal infraredSatelliteDownscalingRemote Sensing
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Moroccan Climate in the Present and Future: Combined View from Observational Data and Regional Climate Scenarios

2008

The impact of climate change on water availability in the Middle East and the Upper Jordan catchment (UJC) is investigated by dynamic downscaling of ECHAM4 time slices and subsequent hydrological modelling. Two time slices (1961–90 and 2070–99) of the global climate scenario B2 of ECHAM4 were dynamically downscaled with the meteorological model MM5 in two nesting steps of 54 km and 18 km resolution. The meteorological fields were used to drive a physically based hydrological model, computing in detail the surface and subsurface water flow and water balance of the UJC.

Water balanceGeographygeography.geographical_feature_categoryGlobal climateClimatologyHydrological modellingDrainage basinMM5Climate changeSubsurface flowDownscaling
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SURCOTES MARINES DANS LE GOLFE DU LION ET FORCAGES ATMOSPHERIQUES : VARIABILITE CONTEMPORAINE ET FUTURE (1950-2100)

2010

Sea surges in the Gulf of Lions are mainly forced by southerly and south-easterly winds. This regional-scale atmospheric circulation is leading by a strong zonal gradient between low pressure system over the Bay of Biscay and high pressure over central Europe. This synoptic-scale circulation mostly happens during “Greenland Above” weather regime. In the second half of the 20th century, a slow increase of the sea-level pressure over central Europe increased the probability of having “Greenland Above” weather types associated with a southerly atmospheric circulation in the Gulf of Lions, thus leading to strong surges. A linear regression is used to simulate the interannual variability of high…

désagrégation d'échellechangement climatique"Golfe du Lion"[SDE.MCG]Environmental Sciences/Global Changes[SHS.GEO] Humanities and Social Sciences/Geography"weather regimes""Gulf of Lion"[SHS.GEO]Humanities and Social Sciences/Geography"sea surges""statistical downscaling"surcotes[ SHS.GEO ] Humanities and Social Sciences/Geography"surcotes"[ SDE.MCG ] Environmental Sciences/Global Changes"désagrégation d'échelle"[SDE.MCG] Environmental Sciences/Global Changes[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/Climatology[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyGolfe du Lion"changement climatique"[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/Climatology" type de temps""climate change"type de temps
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Precipitation and Temperature

2016

Climatological studies indicate that climate change lead to an increase in the mean global temperature of around 0.5 °C until the end of the twentieth century. This warming impacts the atmospheric humidity, wind, radiation, and precipitation. However, the magnitude of changes is not equally distributed over the globe but differs markedly with regions, making a regionalization of the global information essential. The GLOWA-Danube project follows such a downscaling approach with the focus on the drainage basin of the Upper Danube River.

geographygeography.geographical_feature_categoryGlobal temperatureClimatologyLead (sea ice)Drainage basinMM5Environmental scienceClimate changeMagnitude (mathematics)PrecipitationDownscaling
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