Search results for "SOIL-MOISTURE"

showing 5 items of 5 documents

ERA5-Land: A state-of-the-art global reanalysis dataset for land applications

2021

Framed within the Copernicus Climate Change Service (C3S) of the European Commission, the European Centre for Medium-Range Weather Forecasts (ECMWF) is producing an enhanced global dataset for the land component of the fifth generation of European ReAnalysis (ERA5), hereafter referred to as ERA5-Land. Once completed, the period covered will span from 1950 to the present, with continuous updates to support land monitoring applications. ERA5-Land describes the evolution of the water and energy cycles over land in a consistent manner over the production period, which, among others, could be used to analyse trends and anomalies. This is achieved through global high-resolution numerical integrat…

010504 meteorology & atmospheric sciencesLEAF-AREA0207 environmental engineering[SDU.STU]Sciences of the Universe [physics]/Earth SciencesClimate change02 engineering and technologyForcing (mathematics)SOIL-MOISTURESURFACE-TEMPERATURE01 natural sciencesLAKE PARAMETERIZATIONGE1-350Water cycle020701 environmental engineeringWEST-AFRICASATELLITENUMERICAL WEATHER PREDICTION0105 earth and related environmental sciencesQE1-996.5IN-SITUElevationGeologyOPERATIONAL IMPLEMENTATION15. Life on landNumerical weather predictionEnvironmental sciences[SDU]Sciences of the Universe [physics]13. Climate actionEarth and Environmental SciencesClimatologyTemporal resolutionSNOW MODELSGeneral Earth and Planetary SciencesEnvironmental scienceSatelliteClimate model
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Analysis of the linkages between rainfall and land surface conditions in the West African monsoon through CMAP, ERS-WSC, and NOAA-AVHRR data

2005

International audience; The European Remote Sensing Wind Scatterometer (ERS-WSC) backscattering coefficient, NOAA Advanced Very High Resolution Radiometer (NOAA-AVHRR) Normalized Difference Vegetation Index (NDVI), and Climate Prediction Center Merged Analysis Precipitation ( CMAP) precipitation data sets are studied over the period August 1991 to December 2000 to document ( 1) the interannual and intra-annual evolutions of vegetation photosynthetic activity and soil-vegetation water content over West Africa and ( 2) their two-way links with precipitation. Over the Sahel, at interannual timescales the strongest relationships between vegetation, soil moisture, and precipitation are observed …

DYNAMICSAtmospheric Science010504 meteorology & atmospheric sciencesAdvanced very-high-resolution radiometerDIFFERENCE VEGETATION INDEX0211 other engineering and technologiesSoil ScienceTIME-SERIES02 engineering and technologyWIND SCATTEROMETER DATAAquatic ScienceOceanographyMonsoonSOIL-MOISTURE01 natural sciencesNormalized Difference Vegetation Index[SDV.EE.ECO]Life Sciences [q-bio]/Ecology environment/EcosystemsGeochemistry and PetrologyCIRCULATIONSEarth and Planetary Sciences (miscellaneous)[ SDU.ENVI ] Sciences of the Universe [physics]/Continental interfaces environmentPrecipitation[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmentWater contentTEMPERATURE021101 geological & geomatics engineering0105 earth and related environmental sciencesEarth-Surface ProcessesWater Science and TechnologyEcologyMoisturePaleontologyForestry15. Life on landScatterometerVARIABILITYGeophysics13. Climate actionSpace and Planetary ScienceClimatologyPRECIPITATIONSoil waterEnvironmental scienceSAHEL RAINFALL
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Ecohydrology in Mediterranean areas: a numerical model to describe growing seasons out of phase with precipitations

2008

The probabilistic description of soil moisture dynamics is a relatively new topic in hydrology. The most common ecohydrological models start from a stochastic differential equation describing the soil water balance, where the unknown quantity, the soil moisture, depends both on spaces and time. Most of the solutions existing in literature are obtained in a probabilistic framework and under steady-state condition; even if this last condition allows the analytical handling of the problem, it has considerably simplified the same problem by subtracting generalities from it. <br><br> The steady-state hypothesis, appears perfectly applicable in arid and semiarid climatic areas like th…

DYNAMICSWet seasonSTRESSGrowing seasonSOIL-MOISTURElcsh:Technologylcsh:TD1-1066ACTIVE-ROLEEcohydrologyecohydrology rainfallPLANTSlcsh:Environmental technology. Sanitary engineeringWater contentlcsh:Environmental scienceslcsh:GE1-350HydrologyWATER-CONTROLLED ECOSYSTEMS; HYDROLOGIC PROCESSES; SOIL-MOISTURE; ACTIVE-ROLE; VEGETATION; CLIMATE; STRESS; PLANTS; DYNAMICSEcohydrologyMoisturelcsh:T[SDU.OCEAN] Sciences of the Universe [physics]/Ocean AtmosphereSettore ICAR/02 - Costruzioni Idrauliche E Marittime E Idrologialcsh:Geography. Anthropology. RecreationHYDROLOGIC PROCESSESVegetationGroundwater recharge[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces environmentCLIMATEWATER-CONTROLLED ECOSYSTEMSlcsh:GSoil water[SDU.STU] Sciences of the Universe [physics]/Earth SciencesEnvironmental scienceVEGETATIONHydrology
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Evapotranspiration simulations in ISIMIP2a-Evaluation of spatio-temporal characteristics with a comprehensive ensemble of independent datasets

2018

Actual land evapotranspiration (ET) is a key component of the global hydrological cycle and anessential variable determining the evolution of hydrological extreme events under different climate change scenarios. However, recently available ET products show persistent uncertainties thatare impeding a precise attribution of human-induced climate change. Here, we aim at comparing arange of independent global monthly land ET estimates with historical model simulations from theglobal water, agriculture, and biomes sectors participating in the second phase of the Inter-SectoralImpact Model Intercomparison Project (ISIMIP2a). Among the independent estimates, we use theEartH2Observe Tier-1 dataset …

PARAMETERIZATION010504 meteorology & atmospheric sciences0208 environmental biotechnologyREANALYSIS DATA02 engineering and technologyForcing (mathematics)01 natural sciencesISIMIP2aEnvironmental Science(all)Evapotranspirationddc:550Range (statistics)Cluster AnalysisMeteorology & Atmospheric SciencesWATERWater cycleuncertaintyGeneral Environmental ScienceUncertaintyVariance (accounting)Explained variationGLOBAL TERRESTRIAL EVAPOTRANSPIRATIONVariable (computer science)[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/ClimatologyClimatologyPhysical SciencesLife Sciences & BiomedicinePROJECTHYDROLOGICAL MODELSevapotranspirationClimate changeEnvironmental Sciences & EcologySOIL-MOISTUREhydrological extreme eventsLAND-SURFACE MODELhydrological extreme events ; cluster analysis ; uncertainty ; ISIMIP2a ; evapotranspiration[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/HydrologyHydrological extreme events0105 earth and related environmental sciencesScience & TechnologyRenewable Energy Sustainability and the EnvironmentPublic Health Environmental and Occupational HealthPOTENTIAL EVAPOTRANSPIRATION020801 environmental engineeringEarth sciencesISIMIP2a; evapotranspiration; uncertainty; cluster analysis; hydrological extreme events13. Climate actionEnvironmental scienceEnvironmental SciencesHIGH-RESOLUTIONcluster analysis
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Statistical upscaling of ecosystem CO2 fluxes across the terrestrial tundra and boreal domain: Regional patterns and uncertainties

2021

The regional variability in tundra and boreal carbon dioxide (CO2) fluxes can be high, complicating efforts to quantify sink-source patterns across the entire region. Statistical models are increasingly used to predict (i.e., upscale) CO2 fluxes across large spatial domains, but the reliability of different modeling techniques, each with different specifications and assumptions, has not been assessed in detail. Here, we compile eddy covariance and chamber measurements of annual and growing season CO2 fluxes of gross primary productivity (GPP), ecosystem respiration (ER), and net ecosystem exchange (NEE) during 1990–2015 from 148 terrestrial high-latitude (i.e., tundra and boreal) sites to a…

hiilidioksidi0106 biological sciences010504 meteorology & atmospheric sciencesBiomeikiroutaNORTHERN PEATLANDAtmospheric sciences01 natural sciencesCarbon Dioxide/analysisSoilremote sensingArctic/dk/atira/pure/sustainabledevelopmentgoals/climate_actionSDG 13 - Climate ActionEXCHANGEComputingMilieux_MISCELLANEOUSGeneral Environmental ScienceARCTIC TUNDRA[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmospherearktinen alueGlobal and Planetary ChangeCLIMATE-CHANGEEcologyCARBON-DIOXIDE BALANCEUncertaintyCO balancekasvihuonekaasutBLACK SPRUCE FORESTgreenhouse gasTerrestrial ecosystemSeasonsEcosystem respiration1171 GeosciencesEddy covariancepaikkatietoanalyysiSOIL-MOISTURE010603 evolutionary biology114 Physical sciencesEnvironmental Chemistry[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmentTundraEcosystem0105 earth and related environmental sciencesCO2 balanceReproducibility of ResultsENERGY FLUXES15. Life on landTundraPERMAFROST CARBONCarbonlandBorealhiilinielut13. Climate actionGROWING-SEASONSpatial ecologyEnvironmental scienceSpatial variabilitykaukokartoitusempiricalpermafrost
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