Search results for "climate"

showing 10 items of 4934 documents

Bioconcentration, biotransformation and elimination of pyrene in the arctic crustacean Gammarus setosus (Amphipoda) at two temperatures

2015

The influence of temperature on the bioaccumulation, toxicokinetics, biotransformation and depuration of pyrene was studied in the arctic marine amphipod Gammarus setosus. A two-compartment model was used to fit experimental values of total body burden, total metabolites and parent pyrene concentrations and to calculate toxicokinetic variables derived for two experimental treatments (2 and 8 °C). No statistically significant differences were observed with temperature for these toxicokinetic variables or bioconcentration factors. Contrarily, the Q10 values suggested that the toxicokinetic variables ke and km were temperature-dependent. This may be explained by the high standard deviation of …

010504 meteorology & atmospheric sciencesMetaboliteta1172polycyclic aromatic hydrocarbonsQ10Bioconcentration010501 environmental sciencesAquatic ScienceOceanography01 natural sciencesGammarus setosusSvalbardchemistry.chemical_compoundBiotransformationtoxicokineticsAnimalsToxicokineticsAmphipoda14. Life underwaterBiotransformation0105 earth and related environmental sciencesPyrenesbiologyArctic RegionsChemistryTemperatureGeneral Medicinebiology.organism_classificationPollutiondepurationarctic invertebratesKinetics13. Climate actionuptakeBioaccumulationEnvironmental chemistryPyreneWater Pollutants ChemicalEnvironmental MonitoringMarine Environmental Research
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Trace elements in the thermal groundwaters of Vulcano Island (Sicily)

2000

The chemical concentrations of many trace elements that have never before been examined in Vulcano Island groundwaters are reported. Chemical data indicate that rock composition is not the only factor determining the metal content in the aqueous system. The observed concentrations depend mainly on: (1) the chemical composition of the host rocks; (2) the chemical–physical conditions of the weathering solution (temperature, acidity, redox conditions); (3) input of magmatic gases; (4) adsorption of metal ions on oxide particles, formation of soluble complexes and/or precipitation of solid phases. Chloride complexes in solution are of minimal significance for all elements with the exception of …

010504 meteorology & atmospheric sciencesMetal ions in aqueous solutionMineralogyWeathering010502 geochemistry & geophysics01 natural sciencesChlorideMetalchemistry.chemical_compoundGeochemistry and Petrologymedicine[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmentChemical compositionComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciences[SDU.OCEAN]Sciences of the Universe [physics]/Ocean AtmosphereAqueous solutionTrace element6. Clean waterGeophysicschemistry13. Climate actionvisual_artEnvironmental chemistryvisual_art.visual_art_mediumCarbonateGeologymedicine.drug
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A space-time rainfall generator for highly convective Mediterranean rainstorms

2003

Distributed hydrological models require fine resolution rainfall inputs, enhancing the practical interest of space-time rainfall models, capable of generating through numerical simulation realistic space-time rainfall intensity fields. Among different mathematical approaches, those based on point processes and built upon a convenient analytical description of the raincell as the fundamental unit, have shown to be particularly suitable and well adapted when extreme rainfall events of convective nature are considered. Starting from previous formulations, some analytical refinements have been considered, allowing practical generation of space-time rainfall intensity fields for that type of rai…

010504 meteorology & atmospheric sciencesMeteorology0207 environmental engineering[SDU.STU]Sciences of the Universe [physics]/Earth Sciences02 engineering and technologyMethod of moments (statistics)01 natural sciencesPoint processlcsh:TD1-1066lcsh:Environmental technology. Sanitary engineering020701 environmental engineering[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmentlcsh:Environmental sciences0105 earth and related environmental scienceslcsh:GE1-350[SDU.OCEAN]Sciences of the Universe [physics]/Ocean AtmosphereComputer simulationRain gauge[SDU.OCEAN] Sciences of the Universe [physics]/Ocean AtmosphereSpace timelcsh:QE1-996.5lcsh:Geography. Anthropology. Recreation[SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces environment6. Clean waterRunoff modellcsh:Geologylcsh:G13. Climate actionClimatology[SDU.STU] Sciences of the Universe [physics]/Earth SciencesGeneral Earth and Planetary SciencesEnvironmental scienceIntensity (heat transfer)Generator (mathematics)
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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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Towards a long-term dataset of ELBARA-II measurements assisting SMOS level-3 land product and algorithm validation at the Valencia Anchor Station

2015

[EN] The Soil Moisture and Ocean Salinity (SMOS) mission was launched on 2nd November 2009 with the objective of providing global estimations of soil moisture and sea salinity. The main activity of the Valencia Anchor Station (VAS) is currently to assist in a long-term validation of SMOS land products. This study focus on a level 3 SMOS data validation with in situ measurements carried out in the period 2010-2012 over the VAS. ELBARA-II radiometer is placed in the VAS area, observing a vineyard field considered as representative of a major proportion of an area of 50×50 km, enough to cover a SMOS footprint. Brightness temperatures (TB) acquired by ELBARA-II have been compared to those obser…

010504 meteorology & atmospheric sciencesMeteorologyGeography Planning and Development0211 other engineering and technologiesData validationlcsh:G1-92202 engineering and technology01 natural sciencesVineyardSoil roughnessFootprintEarth and Planetary Sciences (miscellaneous)Vegetation optical depth14. Life underwaterPrecipitationWater content021101 geological & geomatics engineering0105 earth and related environmental sciencesRadiometerHumedad del suelobrightness temperature ELBARA-II L-MEB SMOS SMOS level 3 data soil moisture soil roughness Valencia Anchor Station vegetation optical depth15. Life on landEspesor óptico de la vegetaciónTerm (time)GeographyL-MEB13. Climate actionBrightness temperatureRugosidad del sueloTemperatura de brilloSoil moistureBrightness temperaturelcsh:Geography (General)
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Ash-plume dynamics and eruption source parameters by infrasound and thermal imagery: The 2010 Eyjafjallajökull eruption

2013

During operational ash-cloud forecasting, prediction of ash concentration and total erupted mass directly depends on the determination of mass eruption rate (MER), which is typically inferred from plume height. Uncertainties for plume heights are large, especially for bent-over plumes in which the ascent dynamics are strongly affected by the surrounding wind field. Here we show how uncertainties can be reduced if MER is derived directly from geophysical observations of source dynamics. The combination of infrasound measurements and thermal camera imagery allows for the infrasonic type of source to be constrained (a dipole in this case) and for the plume exit velocity to be calculated (54–14…

010504 meteorology & atmospheric sciencesMeteorologyInfrasound Thermal cameras Volcanic Plume dynamicsInfrasoundPlume heightInfrasound010502 geochemistry & geophysicsAtmospheric sciences01 natural sciencesGeochemistry and PetrologyThermalEarth and Planetary Sciences (miscellaneous)ddc:5500105 earth and related environmental sciencesPlume heightLead (sea ice)Escape velocityPlumeGeophysics13. Climate actionSpace and Planetary ScienceParticle-size distributionEruption rateAsh eruptionsMass eruption rateGeology
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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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The making of the New European Wind Atlas - Part 1: Model sensitivity

2020

This is the first of two papers that document the creation of the New European Wind Atlas (NEWA). It describes the sensitivity analysis and evaluation procedures that formed the basis for choosing the final setup of the mesoscale model simulations of the wind atlas. The suitable combination of model setup and parameterizations, bound by practical constraints, was found for simulating the climatology of the wind field at turbine-relevant heights with the Weather Research and Forecasting (WRF) model. Initial WRF model sensitivity experiments compared the wind climate generated by using two commonly used planetary boundary layer schemes and were carried out over several regions in Europe. They…

010504 meteorology & atmospheric sciencesMeteorologyPlanetary boundary layer010505 oceanography020209 energylcsh:QE1-996.5Mesoscale meteorologyFísica atmosférica02 engineering and technology01 natural sciences7. Clean energyWind speedlcsh:GeologyBoundary layerRoughness length/dk/atira/pure/sustainabledevelopmentgoals/climate_action13. Climate actionWeather Research and Forecasting ModelWind resource assessmentWind atlasSDG 13 - Climate Action0202 electrical engineering electronic engineering information engineeringEnvironmental science0105 earth and related environmental sciences
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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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A multisensor fusion approach to improve LAI time series

2011

International audience; High-quality and gap-free satellite time series are required for reliable terrestrial monitoring. Moderate resolution sensors provide continuous observations at global scale for monitoring spatial and temporal variations of land surface characteristics. However, the full potential of remote sensing systems is often hampered by poor quality or missing data caused by clouds, aerosols, snow cover, algorithms and instrumentation problems. A multisensor fusion approach is here proposed to improve the spatio-temporal continuity, consistency and accuracy of current satellite products. It is based on the use of neural networks, gap filling and temporal smoothing techniques. …

010504 meteorology & atmospheric sciencesMeteorologytélédétectionsatellite0211 other engineering and technologiesSoil Scienceréseau neuronal02 engineering and technology01 natural sciencessuivi de culturesInstrumentation (computer programming)Computers in Earth SciencesLeaf area index021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingVegetationGeologyVegetationData fusionLAI time seriesSensor fusionMissing dataLAI time series;Vegetation;Modis;Temporal smoothing;Gap filling;Data fusionqualité des données13. Climate actionAutre (Sciences de l'ingénieur)Gap filling[SDE]Environmental SciencesEnvironmental scienceSatelliteModisTemporal smoothingScale (map)Smoothing
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