Search results for "Model"

showing 10 items of 24058 documents

Global modeling of the lower three polyads of PH_{3} Preliminary results

2009

International audience; In order to model the high-resolution infrared spectrum of the phosphine molecule in the 3 mu m region, a global approach involving the lower three polyads of the molecule (Dyad, Pentad and Octad) as been applied using an effective hamiltonian in the form of irreducible tensors. This model allowed to describe all the 15 vibrational states involved and to consider explicitly all relevant ro-vibrational interactions that cannot be accounted for by conventional perturbation approaches. 2245 levels (up to J=14) observed through transitions arising from 34 cold and hot bands including all available existing data as well as new experimental data have been fitted simultaneo…

010504 meteorology & atmospheric sciencesInfraredNear infraredPositionsHigh resolutionPerturbation (astronomy)01 natural sciencessymbols.namesakeGlobal modeling0103 physical sciencesMoleculePH_{3}Physical and Theoretical Chemistry33.20.Ea 33.20.VqSpectroscopy0105 earth and related environmental sciences[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]Physics010304 chemical physicsNear-infrared spectroscopyAtomic and Molecular Physics and OpticsDipole[ PHYS.PHYS.PHYS-AO-PH ] Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]IntensitiessymbolsVibrational polyadsAtomic physicsHigh-resolutionHamiltonian (quantum mechanics)Global modelingPhosphine
researchProduct

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
researchProduct

Origin and Ion Charge State Evolution of Solar Wind Transients during 4 – 7 August 2011

2016

We present study of the complex event consisting of several solar wind transients detected by Advanced Composition Explorer (ACE) on 4 -- 7 August 2011, that caused a geomagnetic storm with Dst$=-$110 nT. The supposed coronal sources -- three flares and coronal mass ejections (CMEs) occurred on 2 -- 4 August 2011 in the active region (AR) 11261. To investigate the solar origin and formation of these transients we studied kinematic and thermodynamic properties of the expanding coronal structures using the Solar Dynamics Observatory/Atmospheric Imaging Assembly (SDO/AIA) EUV images and the differential emission measure (DEM) diagnostics. The Helioseismic and Magnetic Imager (HMI) magnetic fie…

010504 meteorology & atmospheric sciencesMHDSolar windAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesFluxAstrophysics01 natural sciencesPhysics - Space PhysicsModelsIonization0103 physical sciencesCoronal mass ejectionQB AstronomyAstrophysics::Solar and Stellar Astrophysics010303 astronomy & astrophysicsQCQB0105 earth and related environmental sciencesGeomagnetic stormPhysicsAstronomy and Astrophysics3rd-DASPlasmaCoronaSpace Physics (physics.space-ph)Solar windQC PhysicsMagnetic field13. Climate actionSpace and Planetary SciencePhysics::Space PhysicsCoronal mass ejectionsMagnetohydrodynamicsSolar Physics
researchProduct

Mapping land surface emissivity from NDVI: Application to European, African, and South American areas

1996

Thermal infrared emissivity is an important parameter both for surface characterization and for atmospheric correction methods. Mapping the emissivity from satellite data is therefore a very important question to solve. The main problem is the coupling of the temperature and emissivity effects in the thermal radiances. Several methods have been developed to obtain surface emissivity from satellite data. In this way we propose a theoretical model that relates the emissivity to the NDVI (normalized difference vegetation index) of a given surface and explains the experimental behavior observed by van de Griend and Owe. We can use it to obtain the emissivity in any thermal channel, but in this …

010504 meteorology & atmospheric sciencesMathematical model0211 other engineering and technologiesAtmospheric correctionSoil ScienceGeology02 engineering and technologySurface finish01 natural sciencesNormalized Difference Vegetation Index13. Climate actionMiddle latitudesThermalEmissivityEnvironmental scienceSatelliteComputers in Earth SciencesAstrophysics::Galaxy Astrophysics021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRemote Sensing of Environment
researchProduct

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
researchProduct

Crop specific algorithms trained over ground measurements provide the best performance for GAI and fAPAR estimates from Landsat-8 observations

2021

Abstract Estimation of Green Area Index (GAI) and fraction of Absorbed Photosynthetically Active Radiation (fAPAR) from decametric satellites was investigated in this study using a large database of ground measurements over croplands. It covers six main crop types including rice, corn, wheat and barley, sunflower, soybean and other types of crops. Ground measurements were completed using either digital hemispherical cameras, LAI-2000 or AccuPAR devices over sites representative of a decametric pixel. Sites were spread over the globe and the data collected at several growth stages concurrently to the acquisition of Landsat-8 images. Several machine learning techniques were investigated to re…

010504 meteorology & atmospheric sciencesMean squared errorArtificial neural networkCalibration (statistics)0208 environmental biotechnologyEmpirical modellingSoil ScienceGeology02 engineering and technology01 natural sciencesNormalized Difference Vegetation Index020801 environmental engineeringSupport vector machineData pointKrigingComputers in Earth SciencesAlgorithm0105 earth and related environmental sciencesRemote sensingMathematicsRemote Sensing of Environment
researchProduct

Vicarious Calibration of the Landsat 7 Thermal Infrared Band and LST Algorithm Validation of the ETM+ Instrument Using Three Global Atmospheric Profi…

2017

Due to problems in the thermal infrared sensor on-board the Landsat-8 satellite, Landsat-7 (L7) can be an interesting alternative source of thermal data because it is the only source of well-calibrated, free, high-resolution data. To contribute to the quality of thermal data, a vicarious calibration (VC) of the enhanced thematic mapper instrument and a validation of the single-channel general equation and the water vapor approach algorithm in conjunction with an inversion of the radiative transfer equation (RTE) have been performed during 2013–2015 over two Spanish test sites. For this purpose, three global atmospheric profile data sets were used to better characterize the error due to atmo…

010504 meteorology & atmospheric sciencesMean squared errorMeteorology0211 other engineering and technologiesAtmospheric correction02 engineering and technologyAtmospheric model01 natural sciencesThematic MapperRadiative transferGeneral Earth and Planetary SciencesEnvironmental scienceRadiometrySatelliteElectrical and Electronic EngineeringAlgorithmWater vapor021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingIEEE Transactions on Geoscience and Remote Sensing
researchProduct

Empirical and physical estimation of Canopy Water Content from CHRIS/PROBA data

2013

20 páginas, 4 tablas, 7 figuras.

010504 meteorology & atmospheric sciencesMean squared errorScience0211 other engineering and technologies02 engineering and technologyCHRIS/PROBA01 natural sciencescanopy water content;model inversion;neural networks;look up tables;empirical up-scalingmodel inversionEmpirical up-scalingAtmospheric radiative transfer codeslook up tablesRadiative transferModel inversion021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematicsRemote sensingArtificial neural networkCanopy water contentQHyperspectral imagingInversion (meteorology)Sigmoid functionSpectral bandsempirical up-scaling15. Life on landneural networks[SDE]Environmental SciencesGeneral Earth and Planetary SciencesLook up tablescanopy water contentNeural networkscanopy water content; model inversion; neural networks; look up tables; empirical up-scaling; CHRIS/PROBA
researchProduct

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
researchProduct

New P-T-X conditions for the formation of gem tsavorite garnet in the Voi area (southwestern Kenya)

2018

International audience; Tsavorite nodules-bearing deposits from southwestern Kenya are located in the Kurase Group, a metasedimentary unit of the Neoproterozoic Metamorphic Mozambique Belt. This unit is composed of graphitic paragneisses intercalated with metacarbonates and metaevaporites, surrounded by migmatites. The rocks underwent high grade metamorphism at 615-600 Ma. The main goal of this work is to link tsavorite formation to the metamorphic evolution of the Kurase Group. The new thermobarometric data indicate widespread granulite facies conditions at 800 +/- 50 degrees C and 10 +/- 1 kbar, with no significant difference between the tsavorite-bearing metasediments and the surrounding…

010504 meteorology & atmospheric sciencesMetamorphic rockGeochemistry[SDU.STU.PE]Sciences of the Universe [physics]/Earth Sciences/PetrographyMetamorphismMozambique Belt010502 geochemistry & geophysicsKurase group01 natural sciencesTsavorite garnetGeochemistry and Petrology0105 earth and related environmental sciencesPartial meltingGeologyGranuliteMigmatiteKenyametamorphismGranulite facies metamorphismGranulite faciesPetrological modellingMozambican beltProtolithGeologyGneiss
researchProduct