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Global intercomparison of 12 land surface heat flux estimates

Identifieur interne : 006421 ( Main/Exploration ); précédent : 006420; suivant : 006422

Global intercomparison of 12 land surface heat flux estimates

Auteurs : C. Jiménez [France] ; C. Prigent [France] ; B. Mueller [Suisse] ; S. I. Seneviratne [Suisse] ; M. F. Mccabe [Australie] ; E. F. Wood [États-Unis] ; W. B. Rossow [États-Unis] ; G. Balsamo [Royaume-Uni] ; A. K. Betts [États-Unis] ; P. A. Dirmeyer [États-Unis] ; J. B. Fisher [Royaume-Uni] ; M. Jung [Allemagne] ; M. Kanamitsu [États-Unis] ; R. H. Reichle [États-Unis] ; M. Reichstein [Allemagne] ; M. Rodell [États-Unis] ; J. Sheffield [États-Unis] ; K. Tu [États-Unis] ; K. Wang [États-Unis]

Source :

RBID : ISTEX:9A3ED1BE818A65C2AAF7A997F50BCE10C04397E1

Descripteurs français

English descriptors

Abstract

A global intercomparison of 12 monthly mean land surface heat flux products for the period 1993–1995 is presented. The intercomparison includes some of the first emerging global satellite‐based products (developed at Paris Observatory, Max Planck Institute for Biogeochemistry, University of California Berkeley, University of Maryland, and Princeton University) and examples of fluxes produced by reanalyses (ERA‐Interim, MERRA, NCEP‐DOE) and off‐line land surface models (GSWP‐2, GLDAS CLM/Mosaic/Noah). An intercomparison of the global latent heat flux (Qle) annual means shows a spread of ∼20 W m−2 (all‐product global average of ∼45 W m−2). A similar spread is observed for the sensible (Qh) and net radiative (Rn) fluxes. In general, the products correlate well with each other, helped by the large seasonal variability and common forcing data for some of the products. Expected spatial distributions related to the major climatic regimes and geographical features are reproduced by all products. Nevertheless, large Qle and Qh absolute differences are also observed. The fluxes were spatially averaged for 10 vegetation classes. The larger Qle differences were observed for the rain forest but, when normalized by mean fluxes, the differences were comparable to other classes. In general, the correlations between Qle and Rn were higher for the satellite‐based products compared with the reanalyses and off‐line models. The fluxes were also averaged for 10 selected basins. The seasonality was generally well captured by all products, but large differences in the flux partitioning were observed for some products and basins.

Url:
DOI: 10.1029/2010JD014545


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Le document en format XML

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<term>Absolute values</term>
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<term>Global precipitation climatology project</term>
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<term>Global upscaling</term>
<term>Gpcp data</term>
<term>Gpcp estimates</term>
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<term>Interim reanalysis</term>
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<term>Land heat fluxes</term>
<term>Land heat fluxes table</term>
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<term>Land surface heat flux estimates</term>
<term>Land surface heat fluxes</term>
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<term>Land surface models</term>
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<term>Large body</term>
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<term>Other products</term>
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<term>Representative sample</term>
<term>Rossow</term>
<term>Same data sets</term>
<term>Same range</term>
<term>Same regions</term>
<term>Satellite observation</term>
<term>Satellite observations</term>
<term>Scripps institution</term>
<term>Seasonal changes</term>
<term>Seasonal correlations</term>
<term>Seasonal cycle</term>
<term>Seasonal difference</term>
<term>Second group</term>
<term>Sens</term>
<term>Shadow display</term>
<term>Significant differences</term>
<term>Similar spread</term>
<term>Smaller correlations</term>
<term>Snow mask</term>
<term>Soil moisture</term>
<term>Space remote sensing</term>
<term>Spatial distribution</term>
<term>Spatial resolution</term>
<term>Spatial structures</term>
<term>Spatial time</term>
<term>Standard deviation</term>
<term>Statistical approach</term>
<term>Surface energy balance</term>
<term>Surface temperature</term>
<term>Surface water extent</term>
<term>Technical report</term>
<term>Technology center</term>
<term>Temporal resolution</term>
<term>Time series</term>
<term>Total runoff</term>
<term>Variability</term>
<term>Vegetation</term>
<term>Vegetation characterization</term>
<term>Vegetation classes</term>
<term>Vegetation index</term>
<term>Viterbo</term>
<term>Volga</term>
<term>Wang</term>
<term>Water bodies</term>
<term>Water flux</term>
<term>Water resour</term>
<term>Weather forecasts</term>
<term>biogeochemistry</term>
<term>correlation</term>
<term>global</term>
<term>heat flux</term>
<term>heat transfer</term>
<term>latent heat</term>
<term>models</term>
<term>monthly average</term>
<term>mosaics</term>
<term>observatories</term>
<term>satellites</term>
<term>seasonal variations</term>
<term>spatial distribution</term>
<term>vegetation</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr">
<term>Biogéochimie</term>
<term>Californie</term>
<term>Chaleur latente</term>
<term>Corrélation</term>
<term>Distribution spatiale</term>
<term>Etude comparative</term>
<term>Flux chaleur</term>
<term>Forçage</term>
<term>Forêt ombrophile</term>
<term>Maryland</term>
<term>Modèle</term>
<term>Monde</term>
<term>Mosaïque</term>
<term>Moyenne mensuelle</term>
<term>Observation par satellite</term>
<term>Observatoire</term>
<term>Paris</term>
<term>Réanalyse</term>
<term>Répartition spatiale</term>
<term>Satellite</term>
<term>Surface sol</term>
<term>Transfert chaleur</term>
<term>Télédétection spatiale</term>
<term>Variation saisonnière</term>
<term>Végétation</term>
</keywords>
<keywords scheme="Teeft" xml:lang="en">
<term>Absolute values</term>
<term>Aire</term>
<term>Amazon</term>
<term>Amazon basin</term>
<term>Amazonian rain forest</term>
<term>Ameriflux stations</term>
<term>Ancillary data</term>
<term>Annual averages</term>
<term>Annual cycles</term>
<term>Annual fluxes</term>
<term>Annual precipitation amount</term>
<term>Assimilation office</term>
<term>Atmospheric model</term>
<term>Atmospheric reanalyses</term>
<term>Atmospheric research</term>
<term>August</term>
<term>Auxiliary material</term>
<term>Avhrr</term>
<term>Avhrr reflectances</term>
<term>Axes scales</term>
<term>Basin</term>
<term>Beljaars</term>
<term>Betts</term>
<term>Broad terms</term>
<term>California berkeley</term>
<term>City college</term>
<term>Clear change</term>
<term>Clim</term>
<term>Climate models</term>
<term>Climate science</term>
<term>Climate variability</term>
<term>Community land model</term>
<term>Correlation coefficients</term>
<term>Data sets</term>
<term>Decadal variation</term>
<term>Deseasonalized</term>
<term>Deseasonalized fluxes</term>
<term>Different flux</term>
<term>Different models partition</term>
<term>Different precipitation regimes</term>
<term>Different products</term>
<term>Different products change</term>
<term>Different vegetation classes</term>
<term>Dirmeyer</term>
<term>Earth syst</term>
<term>Ecmwf</term>
<term>Ecmwf model</term>
<term>Ecosystem exchange</term>
<term>Empirical model</term>
<term>Energy balance</term>
<term>Energy reanalysis</term>
<term>Ensemble</term>
<term>Environ</term>
<term>Environmental change institute</term>
<term>Environmental engineering</term>
<term>Equal area grid</term>
<term>Essential components</term>
<term>European center</term>
<term>European centre</term>
<term>Evaporation</term>
<term>Evaporative fraction</term>
<term>Evapotranspiration</term>
<term>Evapotranspiration estimates</term>
<term>Extent version</term>
<term>Flux</term>
<term>Flux estimates</term>
<term>Flux partitioning</term>
<term>Fluxnet</term>
<term>Fluxnet sites</term>
<term>Forcings</term>
<term>Geographical features</term>
<term>Geographical location</term>
<term>Geological science</term>
<term>Geophys</term>
<term>Gldas</term>
<term>Gldas data</term>
<term>Gldas models</term>
<term>Global</term>
<term>Global averages</term>
<term>Global change biol</term>
<term>Global comparison</term>
<term>Global data sets</term>
<term>Global flux products</term>
<term>Global intercomparison</term>
<term>Global land data assimilation system</term>
<term>Global land surface heat fluxes</term>
<term>Global modeling</term>
<term>Global precipitation climatology project</term>
<term>Global scale</term>
<term>Global upscaling</term>
<term>Gpcp data</term>
<term>Gpcp estimates</term>
<term>Grey line</term>
<term>Grid</term>
<term>Gswp</term>
<term>Heat flux</term>
<term>Heat fluxes</term>
<term>High resolution radiometer</term>
<term>Hydrological</term>
<term>Hydrological cycle</term>
<term>Hydrological sciences branch</term>
<term>Hydrometeorol</term>
<term>Individual models</term>
<term>Individual product</term>
<term>Integrative biology</term>
<term>Interannual</term>
<term>Interannual fluxes</term>
<term>Interannual variability</term>
<term>Intercomparison</term>
<term>Interim reanalysis</term>
<term>Isccp</term>
<term>July</term>
<term>Land heat fluxes</term>
<term>Land heat fluxes table</term>
<term>Land information system</term>
<term>Land surface evaporation</term>
<term>Land surface heat flux estimates</term>
<term>Land surface heat fluxes</term>
<term>Land surface model</term>
<term>Land surface models</term>
<term>Land surface temperature</term>
<term>Landflux activity</term>
<term>Large body</term>
<term>Large differences</term>
<term>Large extent</term>
<term>Large spread</term>
<term>Larger correlations</term>
<term>Larger spread</term>
<term>Largest basin</term>
<term>Lines display</term>
<term>Local scale</term>
<term>Lowest correlations</term>
<term>Major vegetation classes</term>
<term>Mccabe</term>
<term>Merra</term>
<term>Meteorol</term>
<term>Microwave</term>
<term>Modeling</term>
<term>Monthly anomalies</term>
<term>Monthly averages</term>
<term>Monthly time series</term>
<term>More details</term>
<term>Much interannual variability</term>
<term>Multimodel</term>
<term>Multimodel analysis</term>
<term>Multimodel ensemble</term>
<term>Murray basin</term>
<term>Nasa goddard space flight center</term>
<term>National centers</term>
<term>Nile basins</term>
<term>Northern africa</term>
<term>Observational data</term>
<term>Other classes</term>
<term>Other products</term>
<term>Oxford university</term>
<term>Paris observatory</term>
<term>Partitioning</term>
<term>Physical properties</term>
<term>Pixel</term>
<term>Planck institute</term>
<term>Precipitation</term>
<term>Prigent</term>
<term>Princeton university</term>
<term>Product ensemble</term>
<term>Products aggregated</term>
<term>Radiative</term>
<term>Radiative fluxes</term>
<term>Rain forest</term>
<term>Reanalyses</term>
<term>Reanalyses merra</term>
<term>Reanalysis</term>
<term>Reanalysis estimates</term>
<term>Recherche scientifique</term>
<term>Relative differences</term>
<term>Relative terms</term>
<term>Remote sens</term>
<term>Representative sample</term>
<term>Rossow</term>
<term>Same data sets</term>
<term>Same range</term>
<term>Same regions</term>
<term>Satellite observations</term>
<term>Scripps institution</term>
<term>Seasonal changes</term>
<term>Seasonal correlations</term>
<term>Seasonal cycle</term>
<term>Seasonal difference</term>
<term>Second group</term>
<term>Sens</term>
<term>Shadow display</term>
<term>Significant differences</term>
<term>Similar spread</term>
<term>Smaller correlations</term>
<term>Snow mask</term>
<term>Soil moisture</term>
<term>Spatial resolution</term>
<term>Spatial structures</term>
<term>Spatial time</term>
<term>Standard deviation</term>
<term>Statistical approach</term>
<term>Surface energy balance</term>
<term>Surface temperature</term>
<term>Surface water extent</term>
<term>Technical report</term>
<term>Technology center</term>
<term>Temporal resolution</term>
<term>Time series</term>
<term>Total runoff</term>
<term>Variability</term>
<term>Vegetation</term>
<term>Vegetation characterization</term>
<term>Vegetation classes</term>
<term>Vegetation index</term>
<term>Viterbo</term>
<term>Volga</term>
<term>Wang</term>
<term>Water bodies</term>
<term>Water flux</term>
<term>Water resour</term>
<term>Weather forecasts</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr">
<term>Paris</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr">
<term>Satellite</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract">A global intercomparison of 12 monthly mean land surface heat flux products for the period 1993–1995 is presented. The intercomparison includes some of the first emerging global satellite‐based products (developed at Paris Observatory, Max Planck Institute for Biogeochemistry, University of California Berkeley, University of Maryland, and Princeton University) and examples of fluxes produced by reanalyses (ERA‐Interim, MERRA, NCEP‐DOE) and off‐line land surface models (GSWP‐2, GLDAS CLM/Mosaic/Noah). An intercomparison of the global latent heat flux (Qle) annual means shows a spread of ∼20 W m−2 (all‐product global average of ∼45 W m−2). A similar spread is observed for the sensible (Qh) and net radiative (Rn) fluxes. In general, the products correlate well with each other, helped by the large seasonal variability and common forcing data for some of the products. Expected spatial distributions related to the major climatic regimes and geographical features are reproduced by all products. Nevertheless, large Qle and Qh absolute differences are also observed. The fluxes were spatially averaged for 10 vegetation classes. The larger Qle differences were observed for the rain forest but, when normalized by mean fluxes, the differences were comparable to other classes. In general, the correlations between Qle and Rn were higher for the satellite‐based products compared with the reanalyses and off‐line models. The fluxes were also averaged for 10 selected basins. The seasonality was generally well captured by all products, but large differences in the flux partitioning were observed for some products and basins.</div>
</front>
</TEI>
<affiliations>
<list>
<country>
<li>Allemagne</li>
<li>Australie</li>
<li>France</li>
<li>Royaume-Uni</li>
<li>Suisse</li>
<li>États-Unis</li>
</country>
<region>
<li>Angleterre</li>
<li>Californie</li>
<li>New Jersey</li>
<li>Nouvelle-Galles du Sud</li>
<li>Oxfordshire</li>
<li>Texas</li>
<li>État de New York</li>
<li>Île-de-France</li>
</region>
<settlement>
<li>Austin (Texas)</li>
<li>Berkeley (Californie)</li>
<li>Oxford</li>
<li>Paris</li>
<li>Princeton (New Jersey)</li>
<li>Sydney</li>
</settlement>
<orgName>
<li>Université de Princeton</li>
<li>Université du Texas à Austin</li>
</orgName>
</list>
<tree>
<country name="France">
<noRegion>
<name sortKey="Jimenez, C" sort="Jimenez, C" uniqKey="Jimenez C" first="C." last="Jiménez">C. Jiménez</name>
</noRegion>
<name sortKey="Jimenez, C" sort="Jimenez, C" uniqKey="Jimenez C" first="C." last="Jiménez">C. Jiménez</name>
<name sortKey="Jimenez, C" sort="Jimenez, C" uniqKey="Jimenez C" first="C." last="Jiménez">C. Jiménez</name>
<name sortKey="Prigent, C" sort="Prigent, C" uniqKey="Prigent C" first="C." last="Prigent">C. Prigent</name>
</country>
<country name="Suisse">
<noRegion>
<name sortKey="Mueller, B" sort="Mueller, B" uniqKey="Mueller B" first="B." last="Mueller">B. Mueller</name>
</noRegion>
<name sortKey="Seneviratne, S I" sort="Seneviratne, S I" uniqKey="Seneviratne S" first="S. I." last="Seneviratne">S. I. Seneviratne</name>
</country>
<country name="Australie">
<region name="Nouvelle-Galles du Sud">
<name sortKey="Mccabe, M F" sort="Mccabe, M F" uniqKey="Mccabe M" first="M. F." last="Mccabe">M. F. Mccabe</name>
</region>
</country>
<country name="États-Unis">
<region name="New Jersey">
<name sortKey="Wood, E F" sort="Wood, E F" uniqKey="Wood E" first="E. F." last="Wood">E. F. Wood</name>
</region>
<name sortKey="Betts, A K" sort="Betts, A K" uniqKey="Betts A" first="A. K." last="Betts">A. K. Betts</name>
<name sortKey="Dirmeyer, P A" sort="Dirmeyer, P A" uniqKey="Dirmeyer P" first="P. A." last="Dirmeyer">P. A. Dirmeyer</name>
<name sortKey="Kanamitsu, M" sort="Kanamitsu, M" uniqKey="Kanamitsu M" first="M." last="Kanamitsu">M. Kanamitsu</name>
<name sortKey="Reichle, R H" sort="Reichle, R H" uniqKey="Reichle R" first="R. H." last="Reichle">R. H. Reichle</name>
<name sortKey="Rodell, M" sort="Rodell, M" uniqKey="Rodell M" first="M." last="Rodell">M. Rodell</name>
<name sortKey="Rossow, W B" sort="Rossow, W B" uniqKey="Rossow W" first="W. B." last="Rossow">W. B. Rossow</name>
<name sortKey="Sheffield, J" sort="Sheffield, J" uniqKey="Sheffield J" first="J." last="Sheffield">J. Sheffield</name>
<name sortKey="Tu, K" sort="Tu, K" uniqKey="Tu K" first="K." last="Tu">K. Tu</name>
<name sortKey="Wang, K" sort="Wang, K" uniqKey="Wang K" first="K." last="Wang">K. Wang</name>
</country>
<country name="Royaume-Uni">
<noRegion>
<name sortKey="Balsamo, G" sort="Balsamo, G" uniqKey="Balsamo G" first="G." last="Balsamo">G. Balsamo</name>
</noRegion>
<name sortKey="Fisher, J B" sort="Fisher, J B" uniqKey="Fisher J" first="J. B." last="Fisher">J. B. Fisher</name>
</country>
<country name="Allemagne">
<noRegion>
<name sortKey="Jung, M" sort="Jung, M" uniqKey="Jung M" first="M." last="Jung">M. Jung</name>
</noRegion>
<name sortKey="Reichstein, M" sort="Reichstein, M" uniqKey="Reichstein M" first="M." last="Reichstein">M. Reichstein</name>
</country>
</tree>
</affiliations>
</record>

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