Search results for "var"

showing 10 items of 14701 documents

Linking photosynthesis and sun-induced fluorescence at sub-daily to seasonal scales

2018

Abstract Due to its close link to the photosynthetic process, sun-induced chlorophyll fluorescence (F) opens new possibilities to study dynamics of photosynthetic light reactions and to quantify CO2 assimilation rates. Although recent studies show that F is linearly related to gross primary production (GPP) on coarse spatial and temporal scales, it is argued that this relationship may be mainly driven by seasonal changes in absorbed photochemical active radiation (APAR) and less by the plant light use efficiency (LUE). In this work a high-resolution spectrometer was used to continuously measure red and far-red fluorescence and different reflectance indices within a sugar beet field during t…

010504 meteorology & atmospheric sciencesEconomicsPhotochemical reflectance index0211 other engineering and technologiesEddy covarianceGrowing seasonSoil Science02 engineering and technologyPhotochemical Reflectance IndexPhotosynthesisAtmospheric sciences01 natural sciencesFluorescence yieldSun-induced chlorophyll fluorescencemedicineddc:550Computers in Earth SciencesChlorophyll fluorescenceBiology021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingLight use efficiencyPhysicsDiurnal temperature variationPrimary productionGeologySeasonalitymedicine.diseaseChemistryEngineering sciences. Technology
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Projecting Exposure to Extreme Climate Impact Events Across Six Event Categories and Three Spatial Scales

2020

Summarization: The extent and impact of climate‐related extreme events depend on the underlying meteorological, hydrological, or climatological drivers as well as on human factors such as land use or population density. Here we quantify the pure effect of historical and future climate change on the exposure of land and population to extreme climate impact events using an unprecedentedly large ensemble of harmonized climate impact simulations from the Inter‐Sectoral Impact Model Intercomparison Project phase 2b. Our results indicate that global warming has already more than doubled both the global land area and the global population annually exposed to all six categories of extreme events co…

010504 meteorology & atmospheric sciencesHYDROLOGICAL MODELSPopulation0207 environmental engineeringFLOOD RISKEnvironmental Sciences & Ecology02 engineering and technologySubtropics[SDU.STU.ME]Sciences of the Universe [physics]/Earth Sciences/Meteorology01 natural sciencesPopulation densityLatitudeClimate-related extreme events/dk/atira/pure/sustainabledevelopmentgoals/climate_actionEarth and Planetary Sciences (miscellaneous)SDG 13 - Climate ActionMeteorology & Atmospheric SciencesBURNED AREAGLOBAL CROP PRODUCTIONGeosciences Multidisciplinary020701 environmental engineeringeducation0105 earth and related environmental sciencesGeneral Environmental ScienceEvent (probability theory)education.field_of_studyScience & TechnologyLand useGlobal warmingGlobal warmingVEGETATION MODEL ORCHIDEEGeology15. Life on landTERRESTRIAL CARBON BALANCE13. Climate actionClimatologyPhysical SciencesTROPICAL CYCLONE ACTIVITYHURRICANE INTENSITYEnvironmental scienceTropical cycloneINTERANNUAL VARIABILITYLife Sciences & BiomedicineEnvironmental SciencesINCORPORATING SPITFIRE
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Planktic foraminiferal changes in the western Mediterranean Anthropocene

2021

The increase in anthropogenic induced warming over the last two centuries is impacting marine environment. Planktic foraminifera are a globally distributed calcifying marine zooplankton responding sensitively to changes in sea surface temperatures and interacting with the food web structure. Here, we study two high resolution multicore records from two western Mediterranean Sea regions (Alboran and Balearic basins), areas highly affected by both natural climate change and anthropogenic warming. Cores cover the time interval from the Medieval Climate Anomaly to present. Reconstructed sea surface temperatures are in good agreement with other results, tracing temperature changes through the Co…

010504 meteorology & atmospheric sciencesLast 1500 yearsPopulationClimate change02 engineering and technologyOceanography01 natural sciencesWestern Mediterranean SeaForaminiferaMediterranean seaAtlantic multidecadal oscillation0202 electrical engineering electronic engineering information engineeringeducationAnthropogenic warming0105 earth and related environmental sciencesGlobal and Planetary Changeeducation.field_of_studybiology020206 networking & telecommunicationsLast 1500 yearGlobigerina bulloidesPlanktic foraminiferabiology.organism_classificationOceanographyNorth Atlantic oscillationUpwellingNatural variabilityMarine surface productionGeology
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Hybrid inversion of radiative transfer models based on high spatial resolution satellite reflectance data improves fractional vegetation cover retrie…

2021

In forest landscapes affected by fire, the estimation of fractional vegetation cover (FVC) from remote sensing data using radiative transfer models (RTMs) enables to evaluate the ecological impact of such disturbance across plant communities at different spatio-temporal scales. Even though, when landscapes are highly heterogeneous, the fine-scale ground spatial variation might not be properly captured if FVC products are provided at moderate or coarse spatial scales, as typical of most of operational Earth observing satellite missions. The objective of this study was to evaluate the potential of a RTM inversion approach for estimating FVC from satellite reflectance data at high spatial reso…

010504 meteorology & atmospheric sciencesMean squared error0208 environmental biotechnologySoil Science02 engineering and technology01 natural sciencesArticleWorldView-3Radiative transferComputers in Earth SciencesImage resolution0105 earth and related environmental sciencesRemote sensingFractional vegetation coverForest fireGeologyInversion (meteorology)15. Life on landEcología. Medio ambienteRadiative transfer modeling020801 environmental engineering13. Climate actionGround-penetrating radarEnvironmental scienceSatelliteSpatial variabilitySentinel-2Scale (map)Remote Sensing of Environment
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Top-of-Atmosphere Retrieval of Multiple Crop Traits Using Variational Heteroscedastic Gaussian Processes within a Hybrid Workflow.

2021

In support of cropland monitoring, operational Copernicus Sentinel-2 (S2) data became available globally and can be explored for the retrieval of important crop traits. Based on a hybrid workflow, retrieval models for six essential biochemical and biophysical crop traits were developed for both S2 bottom-of-atmosphere (BOA) L2A and S2 top-of-atmosphere (TOA) L1C data. A variational heteroscedastic Gaussian process regression (VHGPR) algorithm was trained with simulations generated by the combined leaf-canopy reflectance model PROSAILat the BOA scale and further combined with the Second Simulation of a Satellite Signal in the Solar Spectrum (6SV) atmosphere model at the TOA scale. Establishe…

010504 meteorology & atmospheric sciencesMean squared errorScienceReference data (financial markets)MathematicsofComputing_GENERAL0211 other engineering and technologieshybrid model02 engineering and technologyAtmospheric model01 natural sciencessymbols.namesaketop-of-atmosphere reflectanceKrigingLeaf area indexGaussian process021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsRemote sensing2. Zero hungerQbiophysical and biochemical traits; top-of-atmosphere reflectance; Sentinel-2; variational heteroscedastic Gaussian process regression; hybrid modelvariational heteroscedastic Gaussian process regressionVegetation15. Life on landsymbolsGeneral Earth and Planetary Sciencesbiophysical and biochemical traitsSentinel-2Scale (map)Remote sensing
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2016

Gianluca Tramontana was supported by the GEOCARBON EU FP7 project (GA 283080). Dario Papale, Martin Jung and Markus Reichstein acknowledge funding from the EU FP7 project GEOCARBON (grant agreement no. 283080) and the EU H2020 BACI project (grant agreement no. 640176). Gustau Camps-Valls wants to acknowledge the support by an ERC Consolidator Grant with grant agreement 647423 (SEDAL). Kazuhito Ichii was supported by Environment Research and Technology Development Funds (2-1401) from the Ministry of the Environment of Japan and the JAXA Global Change Observation Mission (GCOM) project (no. 115). Christopher R. Schwalm was supported by National Aeronautics and Space Administration (NASA) gran…

010504 meteorology & atmospheric sciencesMeteorologyFLUXNET0208 environmental biotechnology0207 environmental engineeringlcsh:Life02 engineering and technologySensible heatAtmospheric sciences7. Clean energy01 natural sciencesFlux (metallurgy)FluxNetMachine learning; Carbon fluxes; Energy fluxes; FLUXNET; Remote sensing; FLUXCOMlcsh:QH540-549.5Latent heatMachine learningCarbon fluxes020701 environmental engineeringEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesEarth-Surface ProcessesFLUXCOMMultivariate adaptive regression splineslcsh:QE1-996.5Empirical modellingPrimary production15. Life on landRemote sensingEnergy fluxes020801 environmental engineeringlcsh:Geologylcsh:QH501-531Kernel method13. Climate actionEnvironmental sciencelcsh:EcologyBiogeosciences
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NPP VIIRS land surface temperature product validation using worldwide observation networks.

2013

International audience; Thermal infrared satellite observations of the Earth's surface are key components in estimating the surface skin temperature over global land areas. This work presents validation methodologies to estimate the quantitative uncertainty in Land Surface Temperature (LST) product derived from the Visible Infrared Imager Radiometer Suite (VIIRS) onboard Suomi National Polar-orbiting Partnership (NPP) using ground-based measurements currently made operationally at many field and weather stations around the world. Over heterogeneous surfaces in terms of surface types or biophysical properties (e.g., vegetation density, emissivity), the validation protocol accounts for land s…

010504 meteorology & atmospheric sciencesMeteorologyLand surface temperature0211 other engineering and technologies02 engineering and technology01 natural sciencesIndex Terms— Land Surface TemperaturePhysics::Geophysics[SDU] Sciences of the Universe [physics]EmissivityProduct (category theory)ComputingMilieux_MISCELLANEOUS021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingvalidationThermal infraredRadiometerspatial heterogeneityVegetationNPP VIIRS13. Climate actionground-based LST[SDU]Sciences of the Universe [physics][SDE]Environmental SciencesEnvironmental scienceSatelliteSpatial variability
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Landsat and Local Land Surface Temperatures in a Heterogeneous Terrain Compared to MODIS Values

2016

Land Surface Temperature (LST) as provided by remote sensing onboard satellites is a key parameter for a number of applications in Earth System studies, such as numerical modelling or regional estimation of surface energy and water fluxes. In the case of Moderate Resolution Imaging Spectroradiometer (MODIS) onboard Terra or Aqua, pixels have resolutions near 1 km 2 , LST values being an average of the real subpixel variability of LST, which can be significant for heterogeneous terrain. Here, we use Landsat 7 LST decametre-scale fields to evaluate the temporal and spatial variability at the kilometre scale and compare the resulting average values to those provided by MODIS for the same obser…

010504 meteorology & atmospheric sciencesMeteorologyLandsat 7Science0211 other engineering and technologiesland surface temperatureTerrain02 engineering and technology01 natural sciencesNet radiometertime-space variabilityTermodinàmicaSuperfícies (Fisica)021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingGround truthRadiometerQSubpixel renderingsurface heterogeneitysurface heterogeneity; land surface temperature; MODIS; Landsat 7; time-space variability; ground truthMODISGeneral Earth and Planetary SciencesEnvironmental scienceSpatial variabilityModerate-resolution imaging spectroradiometerScale (map)ground truthRemote Sensing
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Retrieval of daily gross primary production over Europe and Africa from an ensemble of SEVIRI/MSG products

2018

The main goal of this paper is to derive a method for a daily gross primary production (GPP) product over Europe and Africa taking the full advantage of the SEVIRI/MSG satellite products from the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) sensors delivered from the Satellite Application Facility for Land Surface Analysis (LSA SAF) system. Special attention is paid to model the daily GPP response from an optimized Montheith's light use efficiency model under dry conditions by controlling water shortage limitations from the actual evapotranspiration and the potential evapotranspiration (PET). The PET was parameterized using the mean daily air temperatur…

010504 meteorology & atmospheric sciencesMeteorologySettore AGR/05 - ASSESTAMENTO FORESTALE E SELVICOLTURAWater stressBiome0211 other engineering and technologiesEddy covarianceDaily02 engineering and technologyManagement Monitoring Policy and LawAtmospheric sciences01 natural sciencesLight-Use EfficiencyEvapotranspirationComputers in Earth SciencesMSG021101 geological & geomatics engineering0105 earth and related environmental sciencesEarth-Surface ProcessesGlobal and Planetary ChangeConsistency analysisRelative biasPrimary production15. Life on landGeographyPhysical Geography13. Climate actionLSA SAFForest vegetationSatelliteLight-use efficiencyGPP
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Modelling nitrous oxide emissions from cropland at the regional scale

2006

Arable soils are a large source of nitrous oxide (N2O) emissions, making up half of the biogenic emissions worldwide. Estimating their source strength requires methods capable of capturing the spatial and temporal variability of N2O emissions, along with the effects of crop management. Here, we applied a process-based model, CERES, with geo-referenced input data on soils, weather, and land use to map N2O emissions from wheat-cropped soils in three agriculturally intensive regions in France. Emissions were mostly controlled by soil type and local climate conditions, and only to a minor extent by the doses of fertilizer nitrogen applied. As a result, the direct emission factors calculated at …

010504 meteorology & atmospheric sciencesNITROUS OXIDElcsh:TP670-699Atmospheric sciences01 natural sciencesBiochemistryREGIONAL SCALE[SDV.IDA]Life Sciences [q-bio]/Food engineeringAGRONOMIENitrogen cycleComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciences2. Zero hungerLand useIntensive farmingARABLE CROPSMODELLING04 agricultural and veterinary sciences[SDV.IDA] Life Sciences [q-bio]/Food engineering15. Life on landSoil type13. Climate actionGreenhouse gasSoil water040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceSpatial variabilitylcsh:Oils fats and waxesArable landFood Science
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