AustralieFrV1, PascalFrancis, Corpus, bibRecord, 001A63

Atmospheric CO2 inversion validation using vertical profile measurements: Analysis of four independent inversion models

Identifieur interne : 001A63 ( PascalFrancis/Corpus ); précédent : 001A62; suivant : 001A64

Atmospheric CO2 inversion validation using vertical profile measurements: Analysis of four independent inversion models

Auteurs : C. A. Pickett-Heaps ; P. J. Rayner ; R. M. Law ; P. Ciais ; P. K. Patra ; P. Bousquet ; P. Peylin ; S. Maksyutov ; J. Marshall ; C. Rödenbeck ; R. L. Langenfelds ; L. P. Steele ; R. J. Francey ; P. Tans ; C. Sweeney

Source :

Journal of geophysical research [ 0148-0227 ] ; 2011.

RBID : Pascal:11-0355458

Descripteurs français

Pascal (Inist)
- Dioxyde de carbone, Problème inverse, Validation, Profil vertical, Modèle, Inversion atmosphérique, Transport, Circulation atmosphérique, Concentration, Foyer, Cap, Etude comparative, Erreur, Variation interannuelle, Gaz effet serre, Tasmanie, Colorado.

English descriptors

KwdEn :
- Atmospheric inversion, Carbon dioxide, Colorado, Comparative study, Interannual variation, Tasmania Australia, Validation, Vertical profile, atmospheric circulation, capes, concentration, errors, focus, greenhouse gas, inverse problem, models, transport.

Abstract

[1] We present the results of a validation of atmospheric inversions of CO2 fluxes using four transport models. Each inversion uses data primarily from surface stations, combined with an atmospheric transport model, to estimate surface fluxes. The validation (or model evaluation) consists of running these optimized fluxes through the forward model and comparing the simulated concentrations with airborne concentration measurements. We focus on profiles from Cape Grim, Tasmania, and Carr, Colorado, while using other profile sites to test the generality of the comparison. Fits to the profiles are generally worse than to the surface data from the inversions and worse than the expected model-data mismatch. Thus inversion estimates are generally not consistent with the profile measurements. The TM3 model does better by some measures than the other three models. Models perform better over Tasmania than Colorado, and other profile sites bear out a general improvement from north to south and from continental to marine locations. There are also errors in the interannual variability of the fit, consistent in time and common across models. This suggests real variations in sources visible to the profile but not the surface measurements.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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Format Inist (serveur)

NO :	PASCAL 11-0355458 INIST
ET :	Atmospheric CO2 inversion validation using vertical profile measurements: Analysis of four independent inversion models
AU :	PICKETT-HEAPS (C. A.); RAYNER (P. J.); LAW (R. M.); CIAIS (P.); PATRA (P. K.); BOUSQUET (P.); PEYLIN (P.); MAKSYUTOV (S.); MARSHALL (J.); RÖDENBECK (C.); LANGENFELDS (R. L.); STEELE (L. P.); FRANCEY (R. J.); TANS (P.); SWEENEY (C.)
AF :	Laboratoire des Sciences du Climat et de l'Environnement, IPSL, CEA/CNRS/UVSQ/Gif sur Yvette/France (1 aut., 2 aut., 4 aut., 6 aut., 7 aut.); CSIRO Marine and Atmospheric Research/Canberra, ACT/Australie (1 aut.); School of Earth Sciences, University of Melbourne/Parkville, Victoria/Australie (2 aut.); Centre for Australian Weather and Climate Research, CSIRO Marine and Atmospheric Research/Aspendale, Victoria/Australie (3 aut., 11 aut., 12 aut., 13 aut.); Research Institute for Global Change, JAMSTEC/Yokohama/Japon (5 aut., 8 aut.); National Institute for Environmental Science/Tsukuba/Japon (8 aut.); Max Plank Institute for Biogeochemistry/Jena/Allemagne (9 aut., 10 aut.); Global Monitoring Division, ESRL, NOAA/Boulder, Colorado/Etats-Unis (14 aut., 15 aut.)
DT :	Publication en série; Niveau analytique
SO :	Journal of geophysical research; ISSN 0148-0227; Etats-Unis; Da. 2011; Vol. 116; No. D12; D12305.1-D12305.17; Bibl. 1 p.
LA :	Anglais
EA :	[1] We present the results of a validation of atmospheric inversions of CO2 fluxes using four transport models. Each inversion uses data primarily from surface stations, combined with an atmospheric transport model, to estimate surface fluxes. The validation (or model evaluation) consists of running these optimized fluxes through the forward model and comparing the simulated concentrations with airborne concentration measurements. We focus on profiles from Cape Grim, Tasmania, and Carr, Colorado, while using other profile sites to test the generality of the comparison. Fits to the profiles are generally worse than to the surface data from the inversions and worse than the expected model-data mismatch. Thus inversion estimates are generally not consistent with the profile measurements. The TM3 model does better by some measures than the other three models. Models perform better over Tasmania than Colorado, and other profile sites bear out a general improvement from north to south and from continental to marine locations. There are also errors in the interannual variability of the fit, consistent in time and common across models. This suggests real variations in sources visible to the profile but not the surface measurements.
CC :	001E; 001E01; 220
FD :	Dioxyde de carbone; Problème inverse; Validation; Profil vertical; Modèle; Inversion atmosphérique; Transport; Circulation atmosphérique; Concentration; Foyer; Cap; Etude comparative; Erreur; Variation interannuelle; Gaz effet serre; Tasmanie; Colorado
FG :	Australie; Australasie; Etats Unis; Amérique du Nord
ED :	Carbon dioxide; inverse problem; Validation; Vertical profile; models; Atmospheric inversion; transport; atmospheric circulation; concentration; focus; capes; Comparative study; errors; Interannual variation; greenhouse gas; Tasmania Australia; Colorado
EG :	Australia; Australasia; United States; North America
SD :	Carbono dióxido; Problema inverso; Validación; Perfil vertical; Modelo; Inversión atmosférica; Transporte; Concentración; Cabo; Estudio comparativo; Error; Variación interanual; Tasmania; Colorado
LO :	INIST-3144.354000508553950320
ID :	11-0355458

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Le document en format XML

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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Atmospheric CO2 inversion validation using vertical profile measurements: Analysis of four independent inversion models</title>
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<affiliation><inist:fA14 i1="02"><s1>CSIRO Marine and Atmospheric Research</s1>
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<s3>AUS</s3>
<sZ>1 aut.</sZ>
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<author><name sortKey="Rayner, P J" sort="Rayner, P J" uniqKey="Rayner P" first="P. J." last="Rayner">P. J. Rayner</name>
<affiliation><inist:fA14 i1="01"><s1>Laboratoire des Sciences du Climat et de l'Environnement, IPSL, CEA/CNRS/UVSQ</s1>
<s2>Gif sur Yvette</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
</inist:fA14>
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<affiliation><inist:fA14 i1="03"><s1>School of Earth Sciences, University of Melbourne</s1>
<s2>Parkville, Victoria</s2>
<s3>AUS</s3>
<sZ>2 aut.</sZ>
</inist:fA14>
</affiliation>
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<author><name sortKey="Law, R M" sort="Law, R M" uniqKey="Law R" first="R. M." last="Law">R. M. Law</name>
<affiliation><inist:fA14 i1="04"><s1>Centre for Australian Weather and Climate Research, CSIRO Marine and Atmospheric Research</s1>
<s2>Aspendale, Victoria</s2>
<s3>AUS</s3>
<sZ>3 aut.</sZ>
<sZ>11 aut.</sZ>
<sZ>12 aut.</sZ>
<sZ>13 aut.</sZ>
</inist:fA14>
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<author><name sortKey="Ciais, P" sort="Ciais, P" uniqKey="Ciais P" first="P." last="Ciais">P. Ciais</name>
<affiliation><inist:fA14 i1="01"><s1>Laboratoire des Sciences du Climat et de l'Environnement, IPSL, CEA/CNRS/UVSQ</s1>
<s2>Gif sur Yvette</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
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<author><name sortKey="Patra, P K" sort="Patra, P K" uniqKey="Patra P" first="P. K." last="Patra">P. K. Patra</name>
<affiliation><inist:fA14 i1="05"><s1>Research Institute for Global Change, JAMSTEC</s1>
<s2>Yokohama</s2>
<s3>JPN</s3>
<sZ>5 aut.</sZ>
<sZ>8 aut.</sZ>
</inist:fA14>
</affiliation>
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<author><name sortKey="Bousquet, P" sort="Bousquet, P" uniqKey="Bousquet P" first="P." last="Bousquet">P. Bousquet</name>
<affiliation><inist:fA14 i1="01"><s1>Laboratoire des Sciences du Climat et de l'Environnement, IPSL, CEA/CNRS/UVSQ</s1>
<s2>Gif sur Yvette</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
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<author><name sortKey="Peylin, P" sort="Peylin, P" uniqKey="Peylin P" first="P." last="Peylin">P. Peylin</name>
<affiliation><inist:fA14 i1="01"><s1>Laboratoire des Sciences du Climat et de l'Environnement, IPSL, CEA/CNRS/UVSQ</s1>
<s2>Gif sur Yvette</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
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<author><name sortKey="Maksyutov, S" sort="Maksyutov, S" uniqKey="Maksyutov S" first="S." last="Maksyutov">S. Maksyutov</name>
<affiliation><inist:fA14 i1="05"><s1>Research Institute for Global Change, JAMSTEC</s1>
<s2>Yokohama</s2>
<s3>JPN</s3>
<sZ>5 aut.</sZ>
<sZ>8 aut.</sZ>
</inist:fA14>
</affiliation>
<affiliation><inist:fA14 i1="06"><s1>National Institute for Environmental Science</s1>
<s2>Tsukuba</s2>
<s3>JPN</s3>
<sZ>8 aut.</sZ>
</inist:fA14>
</affiliation>
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<author><name sortKey="Marshall, J" sort="Marshall, J" uniqKey="Marshall J" first="J." last="Marshall">J. Marshall</name>
<affiliation><inist:fA14 i1="07"><s1>Max Plank Institute for Biogeochemistry</s1>
<s2>Jena</s2>
<s3>DEU</s3>
<sZ>9 aut.</sZ>
<sZ>10 aut.</sZ>
</inist:fA14>
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<author><name sortKey="Rodenbeck, C" sort="Rodenbeck, C" uniqKey="Rodenbeck C" first="C." last="Rödenbeck">C. Rödenbeck</name>
<affiliation><inist:fA14 i1="07"><s1>Max Plank Institute for Biogeochemistry</s1>
<s2>Jena</s2>
<s3>DEU</s3>
<sZ>9 aut.</sZ>
<sZ>10 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Langenfelds, R L" sort="Langenfelds, R L" uniqKey="Langenfelds R" first="R. L." last="Langenfelds">R. L. Langenfelds</name>
<affiliation><inist:fA14 i1="04"><s1>Centre for Australian Weather and Climate Research, CSIRO Marine and Atmospheric Research</s1>
<s2>Aspendale, Victoria</s2>
<s3>AUS</s3>
<sZ>3 aut.</sZ>
<sZ>11 aut.</sZ>
<sZ>12 aut.</sZ>
<sZ>13 aut.</sZ>
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<author><name sortKey="Steele, L P" sort="Steele, L P" uniqKey="Steele L" first="L. P." last="Steele">L. P. Steele</name>
<affiliation><inist:fA14 i1="04"><s1>Centre for Australian Weather and Climate Research, CSIRO Marine and Atmospheric Research</s1>
<s2>Aspendale, Victoria</s2>
<s3>AUS</s3>
<sZ>3 aut.</sZ>
<sZ>11 aut.</sZ>
<sZ>12 aut.</sZ>
<sZ>13 aut.</sZ>
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<author><name sortKey="Francey, R J" sort="Francey, R J" uniqKey="Francey R" first="R. J." last="Francey">R. J. Francey</name>
<affiliation><inist:fA14 i1="04"><s1>Centre for Australian Weather and Climate Research, CSIRO Marine and Atmospheric Research</s1>
<s2>Aspendale, Victoria</s2>
<s3>AUS</s3>
<sZ>3 aut.</sZ>
<sZ>11 aut.</sZ>
<sZ>12 aut.</sZ>
<sZ>13 aut.</sZ>
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<author><name sortKey="Tans, P" sort="Tans, P" uniqKey="Tans P" first="P." last="Tans">P. Tans</name>
<affiliation><inist:fA14 i1="08"><s1>Global Monitoring Division, ESRL, NOAA</s1>
<s2>Boulder, Colorado</s2>
<s3>USA</s3>
<sZ>14 aut.</sZ>
<sZ>15 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Sweeney, C" sort="Sweeney, C" uniqKey="Sweeney C" first="C." last="Sweeney">C. Sweeney</name>
<affiliation><inist:fA14 i1="08"><s1>Global Monitoring Division, ESRL, NOAA</s1>
<s2>Boulder, Colorado</s2>
<s3>USA</s3>
<sZ>14 aut.</sZ>
<sZ>15 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
</analytic>
<series><title level="j" type="main">Journal of geophysical research</title>
<title level="j" type="abbreviated">J. geophys. res.</title>
<idno type="ISSN">0148-0227</idno>
<imprint><date when="2011">2011</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt><title level="j" type="main">Journal of geophysical research</title>
<title level="j" type="abbreviated">J. geophys. res.</title>
<idno type="ISSN">0148-0227</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Atmospheric inversion</term>
<term>Carbon dioxide</term>
<term>Colorado</term>
<term>Comparative study</term>
<term>Interannual variation</term>
<term>Tasmania Australia</term>
<term>Validation</term>
<term>Vertical profile</term>
<term>atmospheric circulation</term>
<term>capes</term>
<term>concentration</term>
<term>errors</term>
<term>focus</term>
<term>greenhouse gas</term>
<term>inverse problem</term>
<term>models</term>
<term>transport</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Dioxyde de carbone</term>
<term>Problème inverse</term>
<term>Validation</term>
<term>Profil vertical</term>
<term>Modèle</term>
<term>Inversion atmosphérique</term>
<term>Transport</term>
<term>Circulation atmosphérique</term>
<term>Concentration</term>
<term>Foyer</term>
<term>Cap</term>
<term>Etude comparative</term>
<term>Erreur</term>
<term>Variation interannuelle</term>
<term>Gaz effet serre</term>
<term>Tasmanie</term>
<term>Colorado</term>
</keywords>
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<front><div type="abstract" xml:lang="en">[1] We present the results of a validation of atmospheric inversions of CO2 fluxes using four transport models. Each inversion uses data primarily from surface stations, combined with an atmospheric transport model, to estimate surface fluxes. The validation (or model evaluation) consists of running these optimized fluxes through the forward model and comparing the simulated concentrations with airborne concentration measurements. We focus on profiles from Cape Grim, Tasmania, and Carr, Colorado, while using other profile sites to test the generality of the comparison. Fits to the profiles are generally worse than to the surface data from the inversions and worse than the expected model-data mismatch. Thus inversion estimates are generally not consistent with the profile measurements. The TM3 model does better by some measures than the other three models. Models perform better over Tasmania than Colorado, and other profile sites bear out a general improvement from north to south and from continental to marine locations. There are also errors in the interannual variability of the fit, consistent in time and common across models. This suggests real variations in sources visible to the profile but not the surface measurements.</div>
</front>
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<fA03 i2="1"><s0>J. geophys. res.</s0>
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<fA05><s2>116</s2>
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<fA08 i1="01" i2="1" l="ENG"><s1>Atmospheric CO2 inversion validation using vertical profile measurements: Analysis of four independent inversion models</s1>
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<fA11 i1="01" i2="1"><s1>PICKETT-HEAPS (C. A.)</s1>
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<fA11 i1="02" i2="1"><s1>RAYNER (P. J.)</s1>
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<fA11 i1="03" i2="1"><s1>LAW (R. M.)</s1>
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<fA11 i1="10" i2="1"><s1>RÖDENBECK (C.)</s1>
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<fA11 i1="11" i2="1"><s1>LANGENFELDS (R. L.)</s1>
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<fA11 i1="12" i2="1"><s1>STEELE (L. P.)</s1>
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<fA11 i1="13" i2="1"><s1>FRANCEY (R. J.)</s1>
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<fA11 i1="15" i2="1"><s1>SWEENEY (C.)</s1>
</fA11>
<fA14 i1="01"><s1>Laboratoire des Sciences du Climat et de l'Environnement, IPSL, CEA/CNRS/UVSQ</s1>
<s2>Gif sur Yvette</s2>
<s3>FRA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
<sZ>4 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
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<fA14 i1="02"><s1>CSIRO Marine and Atmospheric Research</s1>
<s2>Canberra, ACT</s2>
<s3>AUS</s3>
<sZ>1 aut.</sZ>
</fA14>
<fA14 i1="03"><s1>School of Earth Sciences, University of Melbourne</s1>
<s2>Parkville, Victoria</s2>
<s3>AUS</s3>
<sZ>2 aut.</sZ>
</fA14>
<fA14 i1="04"><s1>Centre for Australian Weather and Climate Research, CSIRO Marine and Atmospheric Research</s1>
<s2>Aspendale, Victoria</s2>
<s3>AUS</s3>
<sZ>3 aut.</sZ>
<sZ>11 aut.</sZ>
<sZ>12 aut.</sZ>
<sZ>13 aut.</sZ>
</fA14>
<fA14 i1="05"><s1>Research Institute for Global Change, JAMSTEC</s1>
<s2>Yokohama</s2>
<s3>JPN</s3>
<sZ>5 aut.</sZ>
<sZ>8 aut.</sZ>
</fA14>
<fA14 i1="06"><s1>National Institute for Environmental Science</s1>
<s2>Tsukuba</s2>
<s3>JPN</s3>
<sZ>8 aut.</sZ>
</fA14>
<fA14 i1="07"><s1>Max Plank Institute for Biogeochemistry</s1>
<s2>Jena</s2>
<s3>DEU</s3>
<sZ>9 aut.</sZ>
<sZ>10 aut.</sZ>
</fA14>
<fA14 i1="08"><s1>Global Monitoring Division, ESRL, NOAA</s1>
<s2>Boulder, Colorado</s2>
<s3>USA</s3>
<sZ>14 aut.</sZ>
<sZ>15 aut.</sZ>
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<fA20><s2>D12305.1-D12305.17</s2>
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<fA21><s1>2011</s1>
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<fA23 i1="01"><s0>ENG</s0>
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<fA43 i1="01"><s1>INIST</s1>
<s2>3144</s2>
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<fA44><s0>0000</s0>
<s1>© 2011 INIST-CNRS. All rights reserved.</s1>
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<fA45><s0>1 p.</s0>
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<fA47 i1="01" i2="1"><s0>11-0355458</s0>
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<fA60><s1>P</s1>
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<fA61><s0>A</s0>
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<fA64 i1="01" i2="1"><s0>Journal of geophysical research</s0>
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<fC01 i1="01" l="ENG"><s0>[1] We present the results of a validation of atmospheric inversions of CO2 fluxes using four transport models. Each inversion uses data primarily from surface stations, combined with an atmospheric transport model, to estimate surface fluxes. The validation (or model evaluation) consists of running these optimized fluxes through the forward model and comparing the simulated concentrations with airborne concentration measurements. We focus on profiles from Cape Grim, Tasmania, and Carr, Colorado, while using other profile sites to test the generality of the comparison. Fits to the profiles are generally worse than to the surface data from the inversions and worse than the expected model-data mismatch. Thus inversion estimates are generally not consistent with the profile measurements. The TM3 model does better by some measures than the other three models. Models perform better over Tasmania than Colorado, and other profile sites bear out a general improvement from north to south and from continental to marine locations. There are also errors in the interannual variability of the fit, consistent in time and common across models. This suggests real variations in sources visible to the profile but not the surface measurements.</s0>
</fC01>
<fC02 i1="01" i2="3"><s0>001E</s0>
</fC02>
<fC02 i1="02" i2="2"><s0>001E01</s0>
</fC02>
<fC02 i1="03" i2="2"><s0>220</s0>
</fC02>
<fC03 i1="01" i2="X" l="FRE"><s0>Dioxyde de carbone</s0>
<s2>NK</s2>
<s2>FX</s2>
<s5>01</s5>
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<fC03 i1="01" i2="X" l="ENG"><s0>Carbon dioxide</s0>
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<s2>FX</s2>
<s5>01</s5>
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<fC03 i1="01" i2="X" l="SPA"><s0>Carbono dióxido</s0>
<s2>NK</s2>
<s2>FX</s2>
<s5>01</s5>
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<s5>02</s5>
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<fC03 i1="02" i2="2" l="ENG"><s0>inverse problem</s0>
<s5>02</s5>
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<fC03 i1="02" i2="2" l="SPA"><s0>Problema inverso</s0>
<s5>02</s5>
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<fC03 i1="03" i2="X" l="FRE"><s0>Validation</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="X" l="ENG"><s0>Validation</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="X" l="SPA"><s0>Validación</s0>
<s5>03</s5>
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<fC03 i1="04" i2="X" l="FRE"><s0>Profil vertical</s0>
<s5>04</s5>
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<fC03 i1="04" i2="X" l="ENG"><s0>Vertical profile</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="X" l="SPA"><s0>Perfil vertical</s0>
<s5>04</s5>
</fC03>
<fC03 i1="05" i2="2" l="FRE"><s0>Modèle</s0>
<s5>05</s5>
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<fC03 i1="05" i2="2" l="ENG"><s0>models</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="2" l="SPA"><s0>Modelo</s0>
<s5>05</s5>
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<fC03 i1="06" i2="X" l="FRE"><s0>Inversion atmosphérique</s0>
<s5>06</s5>
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<fC03 i1="06" i2="X" l="ENG"><s0>Atmospheric inversion</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="X" l="SPA"><s0>Inversión atmosférica</s0>
<s5>06</s5>
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<fC03 i1="07" i2="2" l="FRE"><s0>Transport</s0>
<s5>07</s5>
</fC03>
<fC03 i1="07" i2="2" l="ENG"><s0>transport</s0>
<s5>07</s5>
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<fC03 i1="07" i2="2" l="SPA"><s0>Transporte</s0>
<s5>07</s5>
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<s5>08</s5>
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<s5>08</s5>
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<fC03 i1="09" i2="2" l="FRE"><s0>Concentration</s0>
<s5>09</s5>
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<fC03 i1="09" i2="2" l="ENG"><s0>concentration</s0>
<s5>09</s5>
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<s5>09</s5>
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<fC03 i1="10" i2="2" l="FRE"><s0>Foyer</s0>
<s5>10</s5>
</fC03>
<fC03 i1="10" i2="2" l="ENG"><s0>focus</s0>
<s5>10</s5>
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<fC03 i1="11" i2="2" l="FRE"><s0>Cap</s0>
<s5>11</s5>
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<s5>11</s5>
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<fC03 i1="11" i2="2" l="SPA"><s0>Cabo</s0>
<s5>11</s5>
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<fC03 i1="12" i2="X" l="FRE"><s0>Etude comparative</s0>
<s5>12</s5>
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<s5>12</s5>
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<s5>12</s5>
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<s5>13</s5>
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<fC03 i1="13" i2="2" l="ENG"><s0>errors</s0>
<s5>13</s5>
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<fC03 i1="13" i2="2" l="SPA"><s0>Error</s0>
<s5>13</s5>
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<fC03 i1="14" i2="X" l="FRE"><s0>Variation interannuelle</s0>
<s5>14</s5>
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<s5>14</s5>
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<fC03 i1="14" i2="X" l="SPA"><s0>Variación interanual</s0>
<s5>14</s5>
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<fC03 i1="15" i2="2" l="FRE"><s0>Gaz effet serre</s0>
<s5>15</s5>
</fC03>
<fC03 i1="15" i2="2" l="ENG"><s0>greenhouse gas</s0>
<s5>15</s5>
</fC03>
<fC03 i1="16" i2="2" l="FRE"><s0>Tasmanie</s0>
<s2>NG</s2>
<s5>61</s5>
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<fC03 i1="16" i2="2" l="ENG"><s0>Tasmania Australia</s0>
<s2>NG</s2>
<s5>61</s5>
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<fC03 i1="16" i2="2" l="SPA"><s0>Tasmania</s0>
<s2>NG</s2>
<s5>61</s5>
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<fC03 i1="17" i2="2" l="FRE"><s0>Colorado</s0>
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<server><NO>PASCAL 11-0355458 INIST</NO>
<ET>Atmospheric CO2 inversion validation using vertical profile measurements: Analysis of four independent inversion models</ET>
<AU>PICKETT-HEAPS (C. A.); RAYNER (P. J.); LAW (R. M.); CIAIS (P.); PATRA (P. K.); BOUSQUET (P.); PEYLIN (P.); MAKSYUTOV (S.); MARSHALL (J.); RÖDENBECK (C.); LANGENFELDS (R. L.); STEELE (L. P.); FRANCEY (R. J.); TANS (P.); SWEENEY (C.)</AU>
<AF>Laboratoire des Sciences du Climat et de l'Environnement, IPSL, CEA/CNRS/UVSQ/Gif sur Yvette/France (1 aut., 2 aut., 4 aut., 6 aut., 7 aut.); CSIRO Marine and Atmospheric Research/Canberra, ACT/Australie (1 aut.); School of Earth Sciences, University of Melbourne/Parkville, Victoria/Australie (2 aut.); Centre for Australian Weather and Climate Research, CSIRO Marine and Atmospheric Research/Aspendale, Victoria/Australie (3 aut., 11 aut., 12 aut., 13 aut.); Research Institute for Global Change, JAMSTEC/Yokohama/Japon (5 aut., 8 aut.); National Institute for Environmental Science/Tsukuba/Japon (8 aut.); Max Plank Institute for Biogeochemistry/Jena/Allemagne (9 aut., 10 aut.); Global Monitoring Division, ESRL, NOAA/Boulder, Colorado/Etats-Unis (14 aut., 15 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Journal of geophysical research; ISSN 0148-0227; Etats-Unis; Da. 2011; Vol. 116; No. D12; D12305.1-D12305.17; Bibl. 1 p.</SO>
<LA>Anglais</LA>
<EA>[1] We present the results of a validation of atmospheric inversions of CO2 fluxes using four transport models. Each inversion uses data primarily from surface stations, combined with an atmospheric transport model, to estimate surface fluxes. The validation (or model evaluation) consists of running these optimized fluxes through the forward model and comparing the simulated concentrations with airborne concentration measurements. We focus on profiles from Cape Grim, Tasmania, and Carr, Colorado, while using other profile sites to test the generality of the comparison. Fits to the profiles are generally worse than to the surface data from the inversions and worse than the expected model-data mismatch. Thus inversion estimates are generally not consistent with the profile measurements. The TM3 model does better by some measures than the other three models. Models perform better over Tasmania than Colorado, and other profile sites bear out a general improvement from north to south and from continental to marine locations. There are also errors in the interannual variability of the fit, consistent in time and common across models. This suggests real variations in sources visible to the profile but not the surface measurements.</EA>
<CC>001E; 001E01; 220</CC>
<FD>Dioxyde de carbone; Problème inverse; Validation; Profil vertical; Modèle; Inversion atmosphérique; Transport; Circulation atmosphérique; Concentration; Foyer; Cap; Etude comparative; Erreur; Variation interannuelle; Gaz effet serre; Tasmanie; Colorado</FD>
<FG>Australie; Australasie; Etats Unis; Amérique du Nord</FG>
<ED>Carbon dioxide; inverse problem; Validation; Vertical profile; models; Atmospheric inversion; transport; atmospheric circulation; concentration; focus; capes; Comparative study; errors; Interannual variation; greenhouse gas; Tasmania Australia; Colorado</ED>
<EG>Australia; Australasia; United States; North America</EG>
<SD>Carbono dióxido; Problema inverso; Validación; Perfil vertical; Modelo; Inversión atmosférica; Transporte; Concentración; Cabo; Estudio comparativo; Error; Variación interanual; Tasmania; Colorado</SD>
<LO>INIST-3144.354000508553950320</LO>
<ID>11-0355458</ID>
</server>
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Atmospheric CO2 inversion validation using vertical profile measurements: Analysis of four independent inversion models

Atmospheric CO2 inversion validation using vertical profile measurements: Analysis of four independent inversion models

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