Search results for "Land surface models"

showing 5 items of 5 documents

Comparative assessment of RAMS and WRF short-term forecasts over Eastern Iberian Peninsula using various in-situ observations, remote sensing product…

2018

The Regional Atmospheric Modeling System (RAMS) and the Weather Research and Forecasting (WRF) mesoscale models are being used for weather and air quality studies as well as forecasting tools in Numerical Weather Prediction (NWP) systems. In the current study, we perform a comparative assessment of these models under distinct typical atmospheric conditions, classified according to the dominant wind flow and cloudiness, over Eastern Iberian Peninsula. This study is focused on the model representation of key physical processes in terms of meteorology and surface variables during a 7-days period in summer 2011. The hourly outputs produced by these two models are compared not only with observed…

Atmospheric Science010504 meteorology & atmospheric sciencesNumerical weather prediction/forecastingCloud cover0208 environmental biotechnologyWRFMesoscale meteorology02 engineering and technology01 natural sciencesMesoscale modellingSea breezePeninsulaMeteorologiaLand surface modelsAir quality index0105 earth and related environmental sciencesRemote sensinggeographygeography.geographical_feature_categoryRAMSFísica de la TierraRemote sensingNumerical weather prediction020801 environmental engineeringWeather Research and Forecasting ModelRegional Atmospheric Modeling SystemEnvironmental science
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Improving RAMS and WRF mesoscale forecasts over two distinct vegetation covers using an appropriate thermal roughness length parameterization

2019

Land Surface Models (LSM) have shown some difficulties to properly simulate day-time 2-m air and surface skin temperatures. This kind of models are coupled to atmospheric models in mesoscale modelling, such as the Regional Atmospheric Modeling System (RAMS) and the Weather Research and Forecasting (WRF) Model. This model coupling is used within Numerical Weather Prediction Systems (NWP) in order to forecast key physical processes for agricultural meteorology and forestry as well as in ecological modelling. The current study first evaluates the surface energy fluxes and temperatures simulated by these two state-of-the-art NWP models over two distinct vegetated covers, one corresponding to a …

Atmospheric ScienceGlobal and Planetary ChangeMeteorologyNumerical weather prediction/forecastingFísica de la TierraMesoscale meteorologyEuropean Regional Development FundSurface-layer parameterizationForestryVegetationMesoscale modellingBoscos i silviculturaSurface energy fluxRoughness lengthThermal roughness lengthWeather Research and Forecasting ModelEnvironmental scienceLand surface modelsSurface energy fluxesAgronomy and Crop SciencePhysics::Atmospheric and Oceanic Physics
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Development and analysis of the Soil Water Infiltration Global database

2018

27 Pags.- 11 Tabls.- 8 Figs. © Author(s) 2018. This work is distributed under the Creative Commons Attribution 4.0 License.

Condutividade Hidráulica[SDV]Life Sciences [q-bio]0208 environmental biotechnology02 engineering and technologySilt910computer.software_genreSoilRING INFILTROMETERS900 Geschichte und Geografie::910 Geografie Reisen::910 Geografie ReisenHydraulic conductivityELECTRICAL-CONDUCTIVITYAgricultural landddc:550Meteorology & Atmospheric SciencesSATURATED HYDRAULIC CONDUCTIVITYGeosciences Multidisciplinarydatabaselcsh:Environmental sciences2. Zero hungerlcsh:GE1-350DatabaseIN-SITUlcsh:QE1-996.5Geology04 agricultural and veterinary sciencesPE&RCPedo-transfer functions6. Clean waterInfiltration (hydrology)HYDROPHYSICAL PARAMETERS[SDE]Environmental SciencesPhysical SciencesINFILTRATION GLOBAL DATABASEHidrologiaHydraulic conductivityPHYSICAL-PROPERTIESSANDY SOILTENSION INFILTROMETEREcology and EnvironmentPedotransfer functionPEDOTRANSFER FUNCTIONSLife ScienceSOIL INFILTRATION MEASUREMENTSLand surface modelsInfiltration (hydrology)Soil Water Infiltration Global databaseANALYSIS OF THE SOIL WATERScience & TechnologyLand useInfiltration15. Life on land020801 environmental engineeringInfiltraçãolcsh:GeologySoloInfiltration Land surface models Land use Pedo-transfer functionsSWIGAgriculture and Soil ScienceData qualityITC-ISI-JOURNAL-ARTICLEEarth and Environmental SciencesINFILTROMETER MEASUREMENTSLand useSoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesGeneral Earth and Planetary SciencesEnvironmental scienceHydrologyITC-GOLDcomputer
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Impact of Noah-LSM Parameterizations on WRF Mesoscale Simulations: Case Study of Prevailing Summer Atmospheric Conditions over a Typical Semi-Arid Re…

2021

The current study evaluates the ability of the Weather Research and Forecasting Model (WRF) to forecast surface energy fluxes over a region in Eastern Spain. Focusing on the sensitivity of the model to Land Surface Model (LSM) parameterizations, we compare the simulations provided by the original Noah LSM and the Noah LSM with multiple physics options (Noah-MP). Furthermore, we assess the WRF sensitivity to different Noah-MP physics schemes, namely the calculation of canopy stomatal resistance (OPT_CRS), the soil moisture factor for stomatal resistance (OPT_BTR), and the surface layer drag coefficient (OPT_SFC). It has been found that these physics options strongly affect the energy partiti…

Drag coefficientsurface fluxesGeography Planning and DevelopmentMesoscale meteorologyTJ807-830Numerical weather predictionnumerical weather predictionManagement Monitoring Policy and LawSensible heatTD194-195Atmospheric sciencesRenewable energy sourcesLatent heatGE1-350Surface layerLand surface modelsland surface–atmosphere interactionsEnvironmental effects of industries and plantsRenewable Energy Sustainability and the EnvironmentSurface fluxesNoahFísica de la TierraLand surface–atmosphere interactionsNumerical weather predictionEnvironmental sciencesHeat fluxWRF modelWeather Research and Forecasting Modelland surface modelsTeoría de la Señal y ComunicacionesNoah-MPGeografia
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Simulation of surface energy fluxes and meteorological variables using the Regional Atmospheric Modeling System (RAMS): Evaluating the impact of land…

2018

Atmospheric mesoscale numerical models are commonly used not only for research and air quality studies, but also for other related applications, such as short-term weather forecasting for atmospheric, hydrological, agricultural and ecological modelling. A key element to produce faithful simulations is the proper representation of the soil parameters used in the initialization of the corresponding mesoscale numerical model. The Regional Atmospheric Modeling System (RAMS) is used in the current study. The model code has been updated in order to permit the model to be initialized using a heterogeneous soil moisture and temperature distribution derived from land surface models. Particularly, RA…

Land coverAtmospheric ScienceNumerical weather prediction/forecasting010504 meteorology & atmospheric sciencesMeteorology0208 environmental biotechnologyWeather forecastingMesoscale meteorologyInitialization02 engineering and technologyLand covercomputer.software_genre01 natural sciencesMesoscale modellingWeather stationData assimilationFluxNetMeteorologiaLand surface modelsSurface energy fluxes0105 earth and related environmental sciencesGlobal and Planetary ChangeSoil initializationFísica de la TierraForestry020801 environmental engineeringRegional Atmospheric Modeling SystemEnvironmental scienceAgronomy and Crop Sciencecomputer
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