AustralieFrV1, PascalFrancis, Corpus, bibRecord, 003194

Interannual variability of the global carbon cycle (1992-2005) inferred by inversion of atmospheric CO2 and δ13CO2measurements

Identifieur interne : 003194 ( PascalFrancis/Corpus ); précédent : 003193; suivant : 003195

Interannual variability of the global carbon cycle (1992-2005) inferred by inversion of atmospheric CO2 and δ13CO2measurements

Auteurs : P. J. Rayner ; R. M. Law ; C. E. Allison ; R. J. Francey ; C. M. Trudinger ; C. Pickett-Heaps

Source :

Global biogeochemical cycles [ 0886-6236 ] ; 2008.

RBID : Pascal:08-0524138

Descripteurs français

Pascal (Inist)
- Variabilité, Monde, Cycle carbone, Problème inverse, Atmosphère, Dioxyde de carbone, Modèle, Océan, Modélisation, Anomalie, Asie, Biomasse, Brûlis, Incertitude, Isotope.

English descriptors

KwdEn :
- Asia, Burned ground, Carbon dioxide, Modeling, anomalies, atmosphere, biomass, carbon cycle, global, inverse problem, isotopes, models, ocean, uncertainties, variability.

Abstract

[1] We present estimates of the surface sources and sinks of CO₂ for 1992-2005 deduced from atmospheric inversions. We use atmospheric CO₂ records from 67 sites and 10 δ¹³CO₂ records. We use two atmospheric models to increase the robustness of the results. The results suggest that interannual variability is dominated by the tropical land. Statistically significant variability in the tropical Pacific supports recent ocean modeling studies in that region. The northern land also shows significant variability. In particular, there is a large positive anomaly in 2003 in north Asia, which we associate with anomalous biomass burning. Results using δ¹³CO₂and CO₂ are statistically consistent with those using only CO₂, suggesting that it is valid to use both types of data together. An objective analysis of residuals suggests that our treatment of uncertainties in CO₂ is conservative, while those for δ¹³CO₂ are optimistic, highlighting problems in our simple isotope model. Finally, δ¹³CO₂ measurements offer a good constraint to nearby land regions, suggesting an ongoing value in these measurements for studies of interannual variability.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

A01	`01`	`1`		`@0 0886-6236`
A02	`01`			`@0 GBCYEP`
A03		`1`		`@0 Glob. biogeochem. cycles`
A05				`@2 22`
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A08	`01`	`1`	`ENG`	`@1 Interannual variability of the global carbon cycle (1992-2005) inferred by inversion of atmospheric CO₂ and δ¹³CO₂measurements`
A11	`01`	`1`		`@1 RAYNER (P. J.)`
A11	`02`	`1`		`@1 LAW (R. M.)`
A11	`03`	`1`		`@1 ALLISON (C. E.)`
A11	`04`	`1`		`@1 FRANCEY (R. J.)`
A11	`05`	`1`		`@1 TRUDINGER (C. M.)`
A11	`06`	`1`		`@1 PICKETT-HEAPS (C.)`
A14	`01`			`@1 Laboratoire des Sciences du Climat et de l'Environnement, LSCE, IPSL, CEA, CNRS, UVSQ @2 Gif sur Yvette @3 FRA @Z 1 aut. @Z 6 aut.`
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A20				`@2 GB3008.1-GB3008.12`
A21				`@1 2008`
A23	`01`			`@0 ENG`
A43	`01`			`@1 INIST @2 21109 @5 354000183893470070`
A44				`@0 0000 @1 © 2008 INIST-CNRS. All rights reserved.`
A45				`@0 1 p.1/4`
A47	`01`	`1`		`@0 08-0524138`
A60				`@1 P`
A61				`@0 A`
A64	`01`	`1`		`@0 Global biogeochemical cycles`
A66	`01`			`@0 USA`
C01	`01`		`ENG`	@0 [1] We present estimates of the surface sources and sinks of CO₂ for 1992-2005 deduced from atmospheric inversions. We use atmospheric CO₂ records from 67 sites and 10 δ¹³CO₂ records. We use two atmospheric models to increase the robustness of the results. The results suggest that interannual variability is dominated by the tropical land. Statistically significant variability in the tropical Pacific supports recent ocean modeling studies in that region. The northern land also shows significant variability. In particular, there is a large positive anomaly in 2003 in north Asia, which we associate with anomalous biomass burning. Results using δ¹³CO₂and CO₂ are statistically consistent with those using only CO₂, suggesting that it is valid to use both types of data together. An objective analysis of residuals suggests that our treatment of uncertainties in CO₂ is conservative, while those for δ¹³CO₂ are optimistic, highlighting problems in our simple isotope model. Finally, δ¹³CO₂ measurements offer a good constraint to nearby land regions, suggesting an ongoing value in these measurements for studies of interannual variability.
C02	`01`	`X`		`@0 002A14B04A`
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C02	`03`	`2`		`@0 220B`
C03	`01`	`2`	`FRE`	`@0 Variabilité @5 01`
C03	`01`	`2`	`ENG`	`@0 variability @5 01`
C03	`02`	`2`	`FRE`	`@0 Monde @5 02`
C03	`02`	`2`	`ENG`	`@0 global @5 02`
C03	`02`	`2`	`SPA`	`@0 Mundo @5 02`
C03	`03`	`2`	`FRE`	`@0 Cycle carbone @5 03`
C03	`03`	`2`	`ENG`	`@0 carbon cycle @5 03`
C03	`04`	`2`	`FRE`	`@0 Problème inverse @5 04`
C03	`04`	`2`	`ENG`	`@0 inverse problem @5 04`
C03	`04`	`2`	`SPA`	`@0 Problema inverso @5 04`
C03	`05`	`2`	`FRE`	`@0 Atmosphère @5 05`
C03	`05`	`2`	`ENG`	`@0 atmosphere @5 05`
C03	`05`	`2`	`SPA`	`@0 Atmósfera @5 05`
C03	`06`	`X`	`FRE`	`@0 Dioxyde de carbone @2 NK @2 FX @5 06`
C03	`06`	`X`	`ENG`	`@0 Carbon dioxide @2 NK @2 FX @5 06`
C03	`06`	`X`	`SPA`	`@0 Carbono dióxido @2 NK @2 FX @5 06`
C03	`07`	`2`	`FRE`	`@0 Modèle @5 07`
C03	`07`	`2`	`ENG`	`@0 models @5 07`
C03	`07`	`2`	`SPA`	`@0 Modelo @5 07`
C03	`08`	`2`	`FRE`	`@0 Océan @5 08`
C03	`08`	`2`	`ENG`	`@0 ocean @5 08`
C03	`09`	`X`	`FRE`	`@0 Modélisation @5 09`
C03	`09`	`X`	`ENG`	`@0 Modeling @5 09`
C03	`09`	`X`	`SPA`	`@0 Modelización @5 09`
C03	`10`	`2`	`FRE`	`@0 Anomalie @5 10`
C03	`10`	`2`	`ENG`	`@0 anomalies @5 10`
C03	`10`	`2`	`SPA`	`@0 Anomalía @5 10`
C03	`11`	`2`	`FRE`	`@0 Asie @2 564 @5 11`
C03	`11`	`2`	`ENG`	`@0 Asia @2 564 @5 11`
C03	`11`	`2`	`SPA`	`@0 Asia @2 564 @5 11`
C03	`12`	`2`	`FRE`	`@0 Biomasse @5 12`
C03	`12`	`2`	`ENG`	`@0 biomass @5 12`
C03	`12`	`2`	`SPA`	`@0 Biomasa @5 12`
C03	`13`	`X`	`FRE`	`@0 Brûlis @5 13`
C03	`13`	`X`	`ENG`	`@0 Burned ground @5 13`
C03	`13`	`X`	`SPA`	`@0 Quema de terreno @5 13`
C03	`14`	`2`	`FRE`	`@0 Incertitude @5 14`
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C03	`15`	`2`	`FRE`	`@0 Isotope @5 15`
C03	`15`	`2`	`ENG`	`@0 isotopes @5 15`
C03	`15`	`2`	`SPA`	`@0 Isótopo @5 15`
N21				`@1 343`
N44	`01`			`@1 OTO`
N82				`@1 OTO`

Format Inist (serveur)

NO :	PASCAL 08-0524138 INIST
ET :	Interannual variability of the global carbon cycle (1992-2005) inferred by inversion of atmospheric CO₂ and δ¹³CO₂measurements
AU :	RAYNER (P. J.); LAW (R. M.); ALLISON (C. E.); FRANCEY (R. J.); TRUDINGER (C. M.); PICKETT-HEAPS (C.)
AF :	Laboratoire des Sciences du Climat et de l'Environnement, LSCE, IPSL, CEA, CNRS, UVSQ/Gif sur Yvette/France (1 aut., 6 aut.); CSIRO Marine and Atmospheric Research/Aspendale, Victoria/Australie (2 aut., 3 aut., 4 aut., 5 aut.)
DT :	Publication en série; Niveau analytique
SO :	Global biogeochemical cycles; ISSN 0886-6236; Coden GBCYEP; Etats-Unis; Da. 2008; Vol. 22; No. 3; GB3008.1-GB3008.12; Bibl. 1 p.1/4
LA :	Anglais
EA :	[1] We present estimates of the surface sources and sinks of CO₂ for 1992-2005 deduced from atmospheric inversions. We use atmospheric CO₂ records from 67 sites and 10 δ¹³CO₂ records. We use two atmospheric models to increase the robustness of the results. The results suggest that interannual variability is dominated by the tropical land. Statistically significant variability in the tropical Pacific supports recent ocean modeling studies in that region. The northern land also shows significant variability. In particular, there is a large positive anomaly in 2003 in north Asia, which we associate with anomalous biomass burning. Results using δ¹³CO₂and CO₂ are statistically consistent with those using only CO₂, suggesting that it is valid to use both types of data together. An objective analysis of residuals suggests that our treatment of uncertainties in CO₂ is conservative, while those for δ¹³CO₂ are optimistic, highlighting problems in our simple isotope model. Finally, δ¹³CO₂ measurements offer a good constraint to nearby land regions, suggesting an ongoing value in these measurements for studies of interannual variability.
CC :	002A14B04A; 001E01B; 220B
FD :	Variabilité; Monde; Cycle carbone; Problème inverse; Atmosphère; Dioxyde de carbone; Modèle; Océan; Modélisation; Anomalie; Asie; Biomasse; Brûlis; Incertitude; Isotope
ED :	variability; global; carbon cycle; inverse problem; atmosphere; Carbon dioxide; models; ocean; Modeling; anomalies; Asia; biomass; Burned ground; uncertainties; isotopes
SD :	Mundo; Problema inverso; Atmósfera; Carbono dióxido; Modelo; Modelización; Anomalía; Asia; Biomasa; Quema de terreno; Isótopo
LO :	INIST-21109.354000183893470070
ID :	08-0524138

Links to Exploration step

Pascal:08-0524138

Le document en format XML

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<front><div type="abstract" xml:lang="en">[1] We present estimates of the surface sources and sinks of CO<sub>2</sub>
 for 1992-2005 deduced from atmospheric inversions. We use atmospheric CO<sub>2</sub>
 records from 67 sites and 10 δ<sup>13</sup>
CO<sub>2</sub>
 records. We use two atmospheric models to increase the robustness of the results. The results suggest that interannual variability is dominated by the tropical land. Statistically significant variability in the tropical Pacific supports recent ocean modeling studies in that region. The northern land also shows significant variability. In particular, there is a large positive anomaly in 2003 in north Asia, which we associate with anomalous biomass burning. Results using δ<sup>13</sup>
CO<sub>2</sub>
and CO<sub>2</sub>
 are statistically consistent with those using only CO<sub>2</sub>
, suggesting that it is valid to use both types of data together. An objective analysis of residuals suggests that our treatment of uncertainties in CO<sub>2</sub>
 is conservative, while those for δ<sup>13</sup>
CO<sub>2</sub>
 are optimistic, highlighting problems in our simple isotope model. Finally, δ<sup>13</sup>
CO<sub>2</sub>
 measurements offer a good constraint to nearby land regions, suggesting an ongoing value in these measurements for studies of interannual variability.</div>
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<fC01 i1="01" l="ENG"><s0>[1] We present estimates of the surface sources and sinks of CO<sub>2</sub>
 for 1992-2005 deduced from atmospheric inversions. We use atmospheric CO<sub>2</sub>
 records from 67 sites and 10 δ<sup>13</sup>
CO<sub>2</sub>
 records. We use two atmospheric models to increase the robustness of the results. The results suggest that interannual variability is dominated by the tropical land. Statistically significant variability in the tropical Pacific supports recent ocean modeling studies in that region. The northern land also shows significant variability. In particular, there is a large positive anomaly in 2003 in north Asia, which we associate with anomalous biomass burning. Results using δ<sup>13</sup>
CO<sub>2</sub>
and CO<sub>2</sub>
 are statistically consistent with those using only CO<sub>2</sub>
, suggesting that it is valid to use both types of data together. An objective analysis of residuals suggests that our treatment of uncertainties in CO<sub>2</sub>
 is conservative, while those for δ<sup>13</sup>
CO<sub>2</sub>
 are optimistic, highlighting problems in our simple isotope model. Finally, δ<sup>13</sup>
CO<sub>2</sub>
 measurements offer a good constraint to nearby land regions, suggesting an ongoing value in these measurements for studies of interannual variability.</s0>
</fC01>
<fC02 i1="01" i2="X"><s0>002A14B04A</s0>
</fC02>
<fC02 i1="02" i2="2"><s0>001E01B</s0>
</fC02>
<fC02 i1="03" i2="2"><s0>220B</s0>
</fC02>
<fC03 i1="01" i2="2" l="FRE"><s0>Variabilité</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="2" l="ENG"><s0>variability</s0>
<s5>01</s5>
</fC03>
<fC03 i1="02" i2="2" l="FRE"><s0>Monde</s0>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="2" l="ENG"><s0>global</s0>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="2" l="SPA"><s0>Mundo</s0>
<s5>02</s5>
</fC03>
<fC03 i1="03" i2="2" l="FRE"><s0>Cycle carbone</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="2" l="ENG"><s0>carbon cycle</s0>
<s5>03</s5>
</fC03>
<fC03 i1="04" i2="2" l="FRE"><s0>Problème inverse</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="2" l="ENG"><s0>inverse problem</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="2" l="SPA"><s0>Problema inverso</s0>
<s5>04</s5>
</fC03>
<fC03 i1="05" i2="2" l="FRE"><s0>Atmosphère</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="2" l="ENG"><s0>atmosphere</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="2" l="SPA"><s0>Atmósfera</s0>
<s5>05</s5>
</fC03>
<fC03 i1="06" i2="X" l="FRE"><s0>Dioxyde de carbone</s0>
<s2>NK</s2>
<s2>FX</s2>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="X" l="ENG"><s0>Carbon dioxide</s0>
<s2>NK</s2>
<s2>FX</s2>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="X" l="SPA"><s0>Carbono dióxido</s0>
<s2>NK</s2>
<s2>FX</s2>
<s5>06</s5>
</fC03>
<fC03 i1="07" i2="2" l="FRE"><s0>Modèle</s0>
<s5>07</s5>
</fC03>
<fC03 i1="07" i2="2" l="ENG"><s0>models</s0>
<s5>07</s5>
</fC03>
<fC03 i1="07" i2="2" l="SPA"><s0>Modelo</s0>
<s5>07</s5>
</fC03>
<fC03 i1="08" i2="2" l="FRE"><s0>Océan</s0>
<s5>08</s5>
</fC03>
<fC03 i1="08" i2="2" l="ENG"><s0>ocean</s0>
<s5>08</s5>
</fC03>
<fC03 i1="09" i2="X" l="FRE"><s0>Modélisation</s0>
<s5>09</s5>
</fC03>
<fC03 i1="09" i2="X" l="ENG"><s0>Modeling</s0>
<s5>09</s5>
</fC03>
<fC03 i1="09" i2="X" l="SPA"><s0>Modelización</s0>
<s5>09</s5>
</fC03>
<fC03 i1="10" i2="2" l="FRE"><s0>Anomalie</s0>
<s5>10</s5>
</fC03>
<fC03 i1="10" i2="2" l="ENG"><s0>anomalies</s0>
<s5>10</s5>
</fC03>
<fC03 i1="10" i2="2" l="SPA"><s0>Anomalía</s0>
<s5>10</s5>
</fC03>
<fC03 i1="11" i2="2" l="FRE"><s0>Asie</s0>
<s2>564</s2>
<s5>11</s5>
</fC03>
<fC03 i1="11" i2="2" l="ENG"><s0>Asia</s0>
<s2>564</s2>
<s5>11</s5>
</fC03>
<fC03 i1="11" i2="2" l="SPA"><s0>Asia</s0>
<s2>564</s2>
<s5>11</s5>
</fC03>
<fC03 i1="12" i2="2" l="FRE"><s0>Biomasse</s0>
<s5>12</s5>
</fC03>
<fC03 i1="12" i2="2" l="ENG"><s0>biomass</s0>
<s5>12</s5>
</fC03>
<fC03 i1="12" i2="2" l="SPA"><s0>Biomasa</s0>
<s5>12</s5>
</fC03>
<fC03 i1="13" i2="X" l="FRE"><s0>Brûlis</s0>
<s5>13</s5>
</fC03>
<fC03 i1="13" i2="X" l="ENG"><s0>Burned ground</s0>
<s5>13</s5>
</fC03>
<fC03 i1="13" i2="X" l="SPA"><s0>Quema de terreno</s0>
<s5>13</s5>
</fC03>
<fC03 i1="14" i2="2" l="FRE"><s0>Incertitude</s0>
<s5>14</s5>
</fC03>
<fC03 i1="14" i2="2" l="ENG"><s0>uncertainties</s0>
<s5>14</s5>
</fC03>
<fC03 i1="15" i2="2" l="FRE"><s0>Isotope</s0>
<s5>15</s5>
</fC03>
<fC03 i1="15" i2="2" l="ENG"><s0>isotopes</s0>
<s5>15</s5>
</fC03>
<fC03 i1="15" i2="2" l="SPA"><s0>Isótopo</s0>
<s5>15</s5>
</fC03>
<fN21><s1>343</s1>
</fN21>
<fN44 i1="01"><s1>OTO</s1>
</fN44>
<fN82><s1>OTO</s1>
</fN82>
</pA>
</standard>
<server><NO>PASCAL 08-0524138 INIST</NO>
<ET>Interannual variability of the global carbon cycle (1992-2005) inferred by inversion of atmospheric CO<sub>2</sub>
 and δ<sup>13</sup>
CO<sub>2</sub>
measurements</ET>
<AU>RAYNER (P. J.); LAW (R. M.); ALLISON (C. E.); FRANCEY (R. J.); TRUDINGER (C. M.); PICKETT-HEAPS (C.)</AU>
<AF>Laboratoire des Sciences du Climat et de l'Environnement, LSCE, IPSL, CEA, CNRS, UVSQ/Gif sur Yvette/France (1 aut., 6 aut.); CSIRO Marine and Atmospheric Research/Aspendale, Victoria/Australie (2 aut., 3 aut., 4 aut., 5 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Global biogeochemical cycles; ISSN 0886-6236; Coden GBCYEP; Etats-Unis; Da. 2008; Vol. 22; No. 3; GB3008.1-GB3008.12; Bibl. 1 p.1/4</SO>
<LA>Anglais</LA>
<EA>[1] We present estimates of the surface sources and sinks of CO<sub>2</sub>
 for 1992-2005 deduced from atmospheric inversions. We use atmospheric CO<sub>2</sub>
 records from 67 sites and 10 δ<sup>13</sup>
CO<sub>2</sub>
 records. We use two atmospheric models to increase the robustness of the results. The results suggest that interannual variability is dominated by the tropical land. Statistically significant variability in the tropical Pacific supports recent ocean modeling studies in that region. The northern land also shows significant variability. In particular, there is a large positive anomaly in 2003 in north Asia, which we associate with anomalous biomass burning. Results using δ<sup>13</sup>
CO<sub>2</sub>
and CO<sub>2</sub>
 are statistically consistent with those using only CO<sub>2</sub>
, suggesting that it is valid to use both types of data together. An objective analysis of residuals suggests that our treatment of uncertainties in CO<sub>2</sub>
 is conservative, while those for δ<sup>13</sup>
CO<sub>2</sub>
 are optimistic, highlighting problems in our simple isotope model. Finally, δ<sup>13</sup>
CO<sub>2</sub>
 measurements offer a good constraint to nearby land regions, suggesting an ongoing value in these measurements for studies of interannual variability.</EA>
<CC>002A14B04A; 001E01B; 220B</CC>
<FD>Variabilité; Monde; Cycle carbone; Problème inverse; Atmosphère; Dioxyde de carbone; Modèle; Océan; Modélisation; Anomalie; Asie; Biomasse; Brûlis; Incertitude; Isotope</FD>
<ED>variability; global; carbon cycle; inverse problem; atmosphere; Carbon dioxide; models; ocean; Modeling; anomalies; Asia; biomass; Burned ground; uncertainties; isotopes</ED>
<SD>Mundo; Problema inverso; Atmósfera; Carbono dióxido; Modelo; Modelización; Anomalía; Asia; Biomasa; Quema de terreno; Isótopo</SD>
<LO>INIST-21109.354000183893470070</LO>
<ID>08-0524138</ID>
</server>
</inist>
</record>

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Interannual variability of the global carbon cycle (1992-2005) inferred by inversion of atmospheric CO2 and δ13CO2measurements

Interannual variability of the global carbon cycle (1992-2005) inferred by inversion of atmospheric CO2 and δ13CO2measurements

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