Search results for "transfer"

showing 10 items of 5271 documents

Estimation of evapotranspiration using SVAT models and surface IR temperature

1995

Soil Vegetation Atmosphere Transfer (SVAT) models have been implemented to estimate energy and mass fluxes between soil, vegetation and atmosphere of various ecosystems. They can also simulate remote sensing data and in particular thermal infrared surface temperature. Usually, these models are simple, but they use realistic descriptions of radiative, turbulent and water transfers. These include description of stomatal control of transpiration fluxes. Some studies have shown that such models may be used to derive evapotranspiration from surface temperature, using inversion procedures. In this study, inversion of two different SVAT models are compared.

010504 meteorology & atmospheric sciencesPlanetary boundary layer[SDV]Life Sciences [q-bio]0207 environmental engineeringSoil scienceInversion (meteorology)02 engineering and technologyVegetationAtmospheric temperatureAtmospheric sciences01 natural sciences[SDV] Life Sciences [q-bio]AtmosphereEvapotranspirationRadiative transferEnvironmental science020701 environmental engineeringComputingMilieux_MISCELLANEOUSTHERMOGRAPHIE IR0105 earth and related environmental sciencesTranspiration1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications
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Titan's surface albedo variations over a Titan season from near-infrared CFHT/FTS spectra

2006

International audience; We have observed Titan in a series of campaigns from 1991 to 1996 with the Fourier Transform Spectrometer on the CFH telescope. The data acquired provide a lightcurve from the geometric albedos in the 0.9–View the MathML source spectral region. The 1991–1993 data were previously analyzed in Coustenis et al. [1995. Titan's surface: composition and variability from its near-infrared albedo. Icarus 118, 87–104] with a spherical particle code by McKay et al. [1989. The thermal structure of Titan's atmosphere. Icarus 80, 23–53]. We present here three new datasets from the 1994, 1995 and 1996 observations, with additional information from the 0.94-μm methane window on Tita…

010504 meteorology & atmospheric sciencesSatellitesCFHTAstrophysicsAtmospheric sciences01 natural sciencesMethaneAtmosphereMethane absorption coefficientssymbols.namesakechemistry.chemical_compoundNear-infraredPlanet0103 physical sciencesRadiative transfer010303 astronomy & astrophysicsSpectroscopy0105 earth and related environmental sciencesPhysicsAtmospheric methaneAstronomy and AstrophysicsTholinAlbedochemistry13. Climate actionSpace and Planetary SciencesymbolsTitan (rocket family)Titan
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Measuring the electron temperatures of coronal mass ejections with future space-based multi-channel coronagraphs: a numerical test

2018

Context. The determination from coronagraphic observations of physical parameters of the plasma embedded in coronal mass ejections (CMEs) is of crucial importance for our understanding of the origin and evolution of these phenomena. Aims. The aim of this work is to perform the first ever numerical simulations of a CME as it will be observed by future two-channel (visible light VL and UV Ly-α) coronagraphs, such as the Metis instrument on-board ESA-Solar Orbiter mission, or any other future coronagraphs with the same spectral band-passes. These simulations are then used to test and optimize the plasma diagnostic techniques to be applied to future observations of CMEs. Methods. The CME diagno…

010504 meteorology & atmospheric sciencesSun: coronal mass ejections (CMEs)Plasma parametersT-NDASContext (language use)Astrophysics01 natural sciencessymbols.namesakeMethods: data analysis0103 physical sciencesRadiative transferCoronal mass ejectionAstrophysics::Solar and Stellar AstrophysicsQB Astronomydata analysis [Methods]010303 astronomy & astrophysicsQCQB0105 earth and related environmental sciencesPhysicsUV radiation [Sun]numerical [Methods]Methods: numericalAstronomy and AstrophysicsPlasmaSun: UV radiationPolarization (waves)coronal mass ejections (CMEs) [Sun]Computational physicsQC PhysicsPlasmasSpace and Planetary SciencePhysics::Space PhysicssymbolsMagnetohydrodynamicsDoppler effectAstronomy & Astrophysics
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Raindrop size distribution and terminal velocity for rainfall erosivity studies. A review

2019

Abstract The knowledge of the rainfall drop size distribution (DSD) at the land surface is essential for understanding precipitation mechanisms affecting soil erosion processes. Rainfall erosivity is defined as the potential of rain to cause erosion and it can be evaluated by rainfall kinetic power, which is determined by DSD and raindrop terminal velocity. This paper firstly deals with the raindrop terminal velocity estimate. Then the most widely used DSD are reviewed highlighting the difference between the raindrop size distribution per unit volume of air and that per unit area and time. The reliability of the available kinetic power-rainfall intensity relationships and their application …

010504 meteorology & atmospheric sciencesTerminal velocityRaindrop size distribution0207 environmental engineering02 engineering and technologyRainfall erosivitySeasonalitySeasonalityKinetic energyAtmospheric sciencesmedicine.disease01 natural sciencesRainfall kinetic powerDisdrometerDistribution (mathematics)ErosionmedicineEnvironmental scienceSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliPrecipitationRainfall intensity020701 environmental engineeringIntensity (heat transfer)0105 earth and related environmental sciencesWater Science and Technology
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How much is enough? : The convergence of finite sample scattering properties to those of infinite media

2021

We study the scattering properties of a cloud of particles. The particles are spherical, close to the incident wavelength in size, have a high albedo, and are randomly packed to 20% volume density. We show, using both numerically exact methods for solving the Maxwell equations and radiative-transfer-approximation methods, that the scattering properties of the cloud converge after about ten million particles in the system. After that, the backward-scattered properties of the system should estimate the properties of a macroscopic, practically infinite system. (C) 2021 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.o…

010504 meteorology & atmospheric scienceseducationparticulate random mediapienhiukkasetoptiset ominaisuudet01 natural sciences114 Physical sciencesVolume densityScatteringsymbols.namesakelaskennallinen tiedeConvergence (routing)Radiative transferRadiative transferMaxwellin yhtälötsirontaSpectroscopy0105 earth and related environmental sciencesPhysicsRadiationScatteringscatteringAlbedoSample (graphics)Atomic and Molecular Physics and OpticsComputational physicsWavelengthMaxwell's equationsMaxwell equationsradiative transferParticulate random mediasymbolsapproksimointi
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A New Network for the Advancement of Marine Biotechnology in Europe and Beyond

2020

Marine organisms produce a vast diversity of metabolites with biological activities useful for humans, e.g., cytotoxic, antioxidant, anti-microbial, insecticidal, herbicidal, anticancer, pro-osteogenic and pro-regenerative, analgesic, anti-inflammatory, anticoagulant, cholesterol-lowering, nutritional, photoprotective, horticultural or other beneficial properties. These metabolites could help satisfy the increasing demand for alternative sources of nutraceuticals, pharmaceuticals, cosmeceuticals, food, feed, and novel bio-based products. in addition, marine biomass itself can serve as the source material for the production of various bulk commodities (e.g., biofuels, bioplastics, biomateria…

010504 meteorology & atmospheric scienceslcsh:QH1-199.5Best practiceblue growthStakeholder engagementresponsible research and innovationOcean Engineeringlcsh:General. Including nature conservation geographical distributionAquatic ScienceEnvironmental Science (miscellaneous)Oceanography01 natural sciences03 medical and health sciencesScience communication14. Life underwaterSDG 14 - Life Below Waterlcsh:Scienceblue growth ; marine biodiversity and chemodiversity ; marine biotechnology ; marine natural products ; responsible research and innovation ; science communication ; stakeholder engagement ; sustainability030304 developmental biology0105 earth and related environmental sciencesWater Science and Technology0303 health sciencesGlobal and Planetary ChangeResponsible Research and Innovationbusiness.industrymarine biodiversity and chemodiversitystakeholder engagementmarine natural productsChemical EngineeringCosmeceuticalsscience communicationsustainabilitymarine biotechnology ; marine natural products ; blue growth ; marine biodiversity and chemodiversity ; responsible research and innovation ; stakeholder engagement ; science communication ; sustainabilityblue growth; marine biodiversity and chemodiversity; marine biotechnology; marine natural products; responsible research and innovation; science communication; stakeholder engagement; sustainabilityBiotechnologyInterdisciplinary Natural Sciences13. Climate actionSustainabilityEngineering and TechnologyIdentification (biology)lcsh:Qbusinessmarine biotechnologyKnowledge transfer
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Evaluation of different methods to retrieve the hemispherical downwelling irradiance in the thermal infrared region for field measurements

2013

International audience; The thermal infrared hemispherical downwelling irradiance (HDI) emitted by the atmosphere and surrounding elements contributes through reflection to the signal measured over an observed surface by remote sensing. This irradiance must be estimated in order to obtain accurate values of land-surface temperature (LST). There are some fast methods to measure the HDI with a single measurement pointing to the sky at a specified viewing direction, but these methods require completely cloud-free or cloudy skies, and they do not account for the radiative contribution of surrounding elements. Another method is the use of a diffuse reflectance panel (usually, a rough gold-coated…

010504 meteorology & atmospheric sciencesmedia_common.quotation_subject[SDV]Life Sciences [q-bio]0211 other engineering and technologiesIrradiance02 engineering and technologyAtmospheric sciences01 natural sciencesBANDAtmosphereRadiative transferEmissivityElectrical and Electronic EngineeringTEMPERATURE021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingmedia_commonRadiometerMODTRANdiffuse reflectance panelAngular measurementsthermal infrared (TIR)EMISSIVITYSOILShemispherical downwelling radiance13. Climate actionSkyfield measurements[SDE]Environmental SciencesReflection (physics)General Earth and Planetary SciencesEnvironmental science
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Global Sensitivity Analysis of Leaf-Canopy-Atmosphere RTMs: Implications for Biophysical Variables Retrieval from Top-of-Atmosphere Radiance Data.

2019

Knowledge of key variables driving the top of the atmosphere (TOA) radiance over a vegetated surface is an important step to derive biophysical variables from TOA radiance data, e.g., as observed by an optical satellite. Coupled leaf-canopy-atmosphere Radiative Transfer Models (RTMs) allow linking vegetation variables directly to the at-sensor TOA radiance measured. Global Sensitivity Analysis (GSA) of RTMs enables the computation of the total contribution of each input variable to the output variance. We determined the impacts of the leaf-canopy-atmosphere variables into TOA radiance using the GSA to gain insights into retrievable variables. The leaf and canopy RTM PROSAIL was coupled with…

010504 meteorology & atmospheric sciencesradiative transfer models0211 other engineering and technologiesemulation02 engineering and technologytop-of-atmosphere radiance data01 natural sciencesEmulation; Global sensitivity analysis; Machine learning; MODTRAN; PROSAIL; Radiative transfer models; Retrieval; Sentinel-2; Top-of-atmosphere radiance dataKrigingRange (statistics)Radiative transferLeaf area indexlcsh:Scienceretrieval021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingMODTRANPROSAILMODTRANAtmospheric correctionradiative transfer models; global sensitivity analysis; emulation; machine learning; top-of-atmosphere radiance data; PROSAIL; MODTRAN; retrieval; Sentinel-2machine learningglobal sensitivity analysisLookup tableRadianceGeneral Earth and Planetary SciencesEnvironmental sciencelcsh:QSentinel-2Remote sensing
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First in-situ measurements of plume chemistry at mount garet volcano, island of gaua (Vanuatu)

2020

Recent volcanic gas compilations have urged the need to expand in-situ plume measurements to poorly studied, remote volcanic regions. Despite being recognized as one of the main volcanic epicenters on the planet, the Vanuatu arc remains poorly characterized for its subaerial emissions and their chemical imprints. Here, we report on the first plume chemistry data for Mount Garet, on the island of Gaua, one of the few persistent volatile emitters along the Vanuatu arc. Data were collected with a multi-component gas analyzer system (multi-GAS) during a field campaign in December 2018. The average volcanic gas chemistry is characterized by mean molar CO2/SO2, H2O/SO2, H2S/SO2 and H2/SO2 ratios …

010504 meteorology & atmospheric sciencesvolcanic gas compositionsGeochemistryFlux010502 geochemistry & geophysicslcsh:Technology01 natural scienceslcsh:ChemistryVanuatu[SDU.STU.VO]Sciences of the Universe [physics]/Earth Sciences/VolcanologyGeneral Materials ScienceGas composition[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environmentlcsh:QH301-705.5Instrumentation0105 earth and related environmental sciencesFluid Flow and Transfer Processesgeographygeography.geographical_feature_categorySubductionlcsh:TProcess Chemistry and TechnologyGeneral Engineeringlcsh:QC1-999Gas analyzerComputer Science ApplicationsPlumelcsh:Biology (General)lcsh:QD1-999Mount GaretVolcanolcsh:TA1-2040SubaerialPeriod (geology)volatile fluxeslcsh:Engineering (General). Civil engineering (General)GauaGaua Mount Garet Multi-GAS Vanuatu Volatile fluxes Volcanic gas compositionslcsh:PhysicsMulti-GAS
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Early Diagnosis of Vegetation Health From High-Resolution Hyperspectral and Thermal Imagery: Lessons Learned From Empirical Relationships and Radiati…

2019

[Purpose of Review] We provide a comprehensive review of the empirical and modelling approaches used to quantify the radiation–vegetation interactions related to vegetation temperature, leaf optical properties linked to pigment absorption and chlorophyll fluorescence emission, and of their capability to monitor vegetation health. Part 1 provides an overview of the main physiological indicators (PIs) applied in remote sensing to detect alterations in plant functioning linked to vegetation diseases and decline processes. Part 2 reviews the recent advances in the development of quantitative methods to assess PI through hyperspectral and thermal images.

0106 biological sciences010504 meteorology & atmospheric sciencesHigh resolutionVegetation healthPhotochemical Reflectance Index01 natural sciencesVegetation indicesPhysiological indicatorsRadiative transfermedicineEcology Evolution Behavior and Systematics0105 earth and related environmental sciencesNature and Landscape ConservationRemote sensingRadiative transfer modelsEcologyWarning systemHyperspectral and thermal dataHyperspectral imagingForestry15. Life on land13. Climate actionRemote sensing (archaeology)Temporal resolutionEnvironmental sciencemedicine.symptomVegetation (pathology)010606 plant biology & botany
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