Search results for "Atmospheric model"

showing 10 items of 104 documents

Global Atmospheric Profiles from Reanalysis Information (GAPRI): a new database for earth surface temperature retrieval

2015

This paper presents the Global Atmospheric Profiles derived from Reanalysis Information GAPRI database, which was designed for earth surface temperature retrieval. GAPRI is a comprehensive compilation of selected atmospheric vertical profiles at global scale which can be used for radiative transfer simulation in order to obtain generalized algorithms to estimate land surface temperature LST. GAPRI includes information on geopotential height, atmospheric pressure, air temperature, and relative humidity derived from the European Centre for Medium-Range Weather Forecasts Re-Analysis data from year 2011. The atmospheric profiles are structured for 29 vertical levels and extracted from a global …

DatabaseAtmospheric pressureMeteorologymedia_common.quotation_subjectGeopotential heightAtmospheric modelcomputer.software_genrelaw.inventionSea surface temperatureSkylawTemporal resolutionRadiosondeRadiative transferGeneral Earth and Planetary SciencesEnvironmental sciencecomputermedia_commonInternational Journal of Remote Sensing
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The HisClima database: historical weather logs for automatic transcription and information extraction

2021

Knowing the weather and atmospheric conditions from the past can help weather researchers to generate models like the ones used to predict how weather conditions are likely to change as global temperatures continue to rise. Many historical weather records are available from the past registered on a systemic basis. Historical weather logs were registered in ships, when they were on the high seas, recording daily weather conditions such as: wind speed, temperature, coordinates, etc. These historical documents represent an important source of knowledge with valuable information to extract climatic information of several centuries ago. This paper presents a database for researching about the ca…

DatabaseComputer science05 social sciences050301 education02 engineering and technologyText recognitionAtmospheric modelcomputer.software_genreWind speedInformation extraction0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingTranscription (software)Baseline (configuration management)0503 educationRelevant informationcomputer2020 25th International Conference on Pattern Recognition (ICPR)
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Trace gas composition in the Asian summer monsoon anticyclone: a case study based on aircraft observations and model simulations

2017

We present in situ measurements of the trace gas composition of the upper tropospheric (UT) Asian summer monsoon anticyclone (ASMA) performed with the High Altitude and Long Range Research Aircraft (HALO) in the frame of the Earth System Model Validation (ESMVal) campaign. Air masses with enhanced O3 mixing ratios were encountered after entering the ASMA at its southern edge at about 150 hPa on 18 September 2012. This is in contrast to the presumption that the anticyclone's interior is dominated by recently uplifted air with low O3 in the monsoon season. We also observed enhanced CO and HCl in the ASMA, which are tracers for boundary layer pollution and tropopause layer (TL) air or stratosp…

ECHAMAtmospheric Science010504 meteorology & atmospheric sciences010502 geochemistry & geophysicsMonsoonAtmospheric scienceschemistry01 natural scienceslcsh:ChemistryTropospheretrace gasesErdsystem-Modellierungddc:550atmospheric modelling0105 earth and related environmental sciencesAtmosphereAsian summer monsoonAtmosphärische Spurenstoffelcsh:QC1-999Trace gasBoundary layerEarth scienceslcsh:QD1-999Anticyclone13. Climate actionClimatologyHYSPLITTropopauseaircraft measurementslcsh:PhysicsGeology
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Calibration process and parametrization of tropical plants using ENVI-met V4: São Paulo case study

2019

This work aims to improve the process of calibration of ENVI-met model based on air temperature in both built-up and vegetated areas, considering various parameters and models of trees. Field measu...

ESTUDO DE CASOMeteorologyCalibration (statistics)Process (engineering)Urban vegetationAir temperatureArchitectureEnvironmental scienceParametrization (atmospheric modeling)Tropical plants
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Atmospheric components determination from ground-level measurements during the spectra Barax Campaigns (SPARC) field campaigns

2007

The Surface Processes and Ecosystem Changes Through Response Analysis (SPECTRA) Barrax Campaigns were validation campaigns developed in the framework of the SPECTRA mission in order to verify that the geophysical data products provided by satellite imagery are consistent with the measurements made by independent means. Two campaigns took place in Barrax, Spain, during the summers of 2003 and 2004. This paper presents the results of the characterization of the atmospheric composition from solar radiation, radiosoundings, and lidar measurements. Several potentially interesting situations involving atmospheric layers with different types of aerosols and water content are discussed. The presenc…

Earth observationMeteorologyAtmospheric correction550 - Earth sciencesAtmospheric modelLidarAir mass (astronomy)Atmosphere of EarthRadiative transferGeneral Earth and Planetary SciencesEnvironmental scienceElectrical and Electronic EngineeringAtmospheric opticsRemote sensing
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Improvement of the thermal emissivity calculated with the vegetation cover method by using optical atmospherically corrected images

2007

In this paper we assess the influence caused by the lack of atmospheric correction of the optical images used to calculate land surface emissivity (LSE). When thermal emissivity is determined by the Vegetation Cover Method (VCM), information from the solar spectrum in order to calculate the vegetation cover fraction is required. The atmospheric correction is performed in this research by using the combination of the Dark Dense Vegetation method (DDV) and the Second Simulation of the Satellite Signal in the Solar Spectrum (6S) code. The methodology was applied to a Landsat TM image of Tomelloso, Spain. It was determined that the emissivity between 10 and 12 mum only increases 0.4% (which rep…

EmissivityAtmospheric correctionEnvironmental scienceSatelliteVegetationAtmospheric modelAtmospheric sciencesSignalAtmospheric opticsRemote sensingVegetation cover2007 IEEE International Geoscience and Remote Sensing Symposium
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Remote sensing of sun-induced chlorophyll fluorescence at different scales

2014

In this contribution we present activities and selected results obtained in recent studies and campaigns conducted in the context of the FLuorescence EXplorer (FLEX) mission. FLEX is a candidate mission for the ESA 8th Earth Explorer and large efforts are currently dedicated to the development of an implementation scheme for an accurate mapping of fluorescence from the selected spaceborne sensor and mission configuration. Field and airborne data collected in different experimental campaigns, together with simulated data, have been used to demonstrate the feasibility of fluorescence retrievals and the potential of exploiting high spatial resolution fluorescence maps for a better understandin…

FLORISfield measurementComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONHyperspectral imagingContext (language use)Atmospheric modelFLEX missionGeneralLiterature_MISCELLANEOUSRemote sensing (archaeology)Simulated datafield measurementsHyPlantSun-induced chlorophyll fluorescenceHigh spatial resolutionEnvironmental scienceFLEXChlorophyll fluorescenceRemote sensing2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)
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Transfer Learning with Convolutional Networks for Atmospheric Parameter Retrieval

2018

The Infrared Atmospheric Sounding Interferometer (IASI) on board the MetOp satellite series provides important measurements for Numerical Weather Prediction (NWP). Retrieving accurate atmospheric parameters from the raw data provided by IASI is a large challenge, but necessary in order to use the data in NWP models. Statistical models performance is compromised because of the extremely high spectral dimensionality and the high number of variables to be predicted simultaneously across the atmospheric column. All this poses a challenge for selecting and studying optimal models and processing schemes. Earlier work has shown non-linear models such as kernel methods and neural networks perform w…

FOS: Computer and information sciencesComputer Science - Machine LearningComputer scienceFeature extraction0211 other engineering and technologiesTranfer learningFOS: Physical sciences02 engineering and technologyAtmospheric modelInfrared atmospheric sounding interferometercomputer.software_genreConvolutional neural networkMachine Learning (cs.LG)0202 electrical engineering electronic engineering information engineeringInfrared measurements021101 geological & geomatics engineeringArtificial neural networkStatistical modelNumerical weather predictionParameter retrievalPhysics - Atmospheric and Oceanic PhysicsKernel method13. Climate actionAtmospheric and Oceanic Physics (physics.ao-ph)Convolutional neural networks020201 artificial intelligence & image processingData miningcomputerCurse of dimensionalityIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
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Assessment of inputs to land surface processes models derived from hyperspectral multiangular data

2002

Global Models of the Earth - Atmosphere System describe the role of the terrestrial biosphere using increasingly complex Land Surface Models (LSM). These models mimic the exchange of energy, water and carbon between the land and the atmosphere, with emphasis on the role of terrestrial vegetation. Literature shows a clear trend towards fully interactive LSM-s, i.e. accounting for the dynamic response of vegetation to weather and climate. The latter may not be limited to biomass accumulation and address slower changes in vegetation type and composition. Improving the performance of such models require addressing two broad questions: Can we measure vegetation properties with the accuracy requi…

GeographyVegetation typeSpatial ecologyRadianceBiosphereVegetationAtmospheric modelAlbedoSpatial heterogeneityRemote sensingSPIE Proceedings
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Intercomparison of remote-sensing based evapotranspiration algorithms over amazonian forests

2019

Abstract Evapotranspiration (ET) is considered a key variable in the understanding of the Amazonian tropical forests and their response to climate change. Remote-Sensing (RS) based evapotranspiration models are presented as a feasible means in order to provide accurate spatially-distributed ET estimates over this region. In this work, the performance of four commonly used ET RS models was evaluated over Amazonia using Moderate Resolution Imaging Spectroradiometer (MODIS) data. RS models included i) Priestley-Taylor Jet Propulsion Laboratory (PT-JPL), ii) Penman-Monteith MODIS operative parametrization (PM-Mu), iii) Surface Energy Balance System (SEBS), and iv) Satellite Application Facility…

Global and Planetary ChangeAmazonian tropical forests; Terrestrial evapotranspiration; MODIS; Reanalysis010504 meteorology & atmospheric sciencesAmazonianCloud cover0211 other engineering and technologiesAmazonian tropical forestsClimate changeReanalysis02 engineering and technologyManagement Monitoring Policy and Law01 natural sciencesVariable (computer science)MODISEvapotranspirationEnvironmental scienceParametrization (atmospheric modeling)SatelliteModerate-resolution imaging spectroradiometerComputers in Earth SciencesTerrestrial evapotranspirationAlgorithm021101 geological & geomatics engineering0105 earth and related environmental sciencesEarth-Surface ProcessesInternational Journal of Applied Earth Observation and Geoinformation
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