MozartV1, PascalFrancis, Corpus, bibRecord, 000023

Influence of El Niño on Midtropospheric CO2 from Atmospheric Infrared Sounder and Model

Identifieur interne : 000023 ( PascalFrancis/Corpus ); précédent : 000022; suivant : 000024

Influence of El Niño on Midtropospheric CO2 from Atmospheric Infrared Sounder and Model

Auteurs : XUN JIANG ; JINGQIAN WANG ; Edward T. Olsen ; MAOCHANG LIANG ; Thomas S. Pagano ; Luke L. Chen ; Stephen J. Licata ; Yuk L. Yung

Source :

Journal of the atmospheric sciences [ 0022-4928 ] ; 2013.

RBID : Pascal:13-0203313

Descripteurs français

Pascal (Inist)
- El Nino, Dioxyde de carbone, Modèle, Distribution concentration, Variation temporelle, Variation spatiale, Régression multiple, La Nina, Chimie atmosphérique, Téléconnexion, Océan Pacifique Central, Océan Pacifique Ouest, Gaz effet serre, Observation par satellite, Analyse statistique, Télédétection spatiale, Sondeur infrarouge avancé, El Niño Oscillation australe.

English descriptors

KwdEn :
- Advanced infrared sounder, Atmospheric chemistry, Carbon dioxide, Central Pacific, Concentration distribution, El Nino, El Niño Southern Oscillation, La Nina, Multiple regression, Satellite observation, Space remote sensing, Teleconnection, West Pacific, greenhouse gas, models, spatial variations, statistical analysis, time variations.

Abstract

The authors investigate the influence of El Niño on midtropospheric CO₂ from the Atmospheric Infrared Sounder (AIRS) and the Model for Ozone and Related Chemical Tracers, version 2 (MOZART-2). AIRS midtropospheric CO₂ data are used to study the temporal and spatial variability of CO₂ in response to El Niño. CO₂ differences between the central and western Pacific Ocean correlate well with the Southern Oscillation index. To reveal the temporal and spatial variability of the El Niño signal in the AIRS midtropospheric CO₂, a multiple regression method is applied to the CO₂ data from September 2002 to February 2011. There is more (less) midtropospheric CO₂ in the central Pacific and less (more) midtropospheric CO₂ in the western Pacific during El Niño (La Niña) events. Similar results are seen in the MOZART-2 convolved midtropospheric CO₂, although the El Niño signal in the MOZART-2 is weaker than that in the AIRS data.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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A03		`1`		`@0 J. atmos. sci.`
A05				`@2 70`
A06				`@2 1`
A08	`01`	`1`	`ENG`	`@1 Influence of El Niño on Midtropospheric CO₂ from Atmospheric Infrared Sounder and Model`
A11	`01`	`1`		`@1 XUN JIANG`
A11	`02`	`1`		`@1 JINGQIAN WANG`
A11	`03`	`1`		`@1 OLSEN (Edward T.)`
A11	`04`	`1`		`@1 MAOCHANG LIANG`
A11	`05`	`1`		`@1 PAGANO (Thomas S.)`
A11	`06`	`1`		`@1 CHEN (Luke L.)`
A11	`07`	`1`		`@1 LICATA (Stephen J.)`
A11	`08`	`1`		`@1 YUNG (Yuk L.)`
A14	`01`			`@1 Department of Earth and Atmospheric Sciences, University of Houston @2 Houston, Texas @3 USA @Z 1 aut. @Z 2 aut.`
A14	`02`			`@1 Science Division, Jet Propulsion Laboratory, California Institute of Technology @2 Pasadena, California @3 USA @Z 3 aut.`
A14	`03`			`@1 Research Center for Environmental Changes, Academia Sinica, Taipei, and Graduate Institute of Astronomy, National Central University @2 Jhongli @3 TWN @Z 4 aut.`
A14	`04`			`@1 Science Division, Jet Propulsion Laboratory, California Institute of Technology @2 Pasadena, California @3 USA @Z 5 aut. @Z 6 aut. @Z 7 aut.`
A14	`05`			`@1 Division of Geological and Planetary Sciences, California Institute of Technology @2 Pasadena, California @3 USA @Z 8 aut.`
A20				`@1 223-230`
A21				`@1 2013`
A23	`01`			`@0 ENG`
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A44				`@0 0000 @1 © 2013 INIST-CNRS. All rights reserved.`
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A61				`@0 A`
A64	`01`	`1`		`@0 Journal of the atmospheric sciences`
A66	`01`			`@0 USA`
C01	`01`		`ENG`	@0 The authors investigate the influence of El Niño on midtropospheric CO₂ from the Atmospheric Infrared Sounder (AIRS) and the Model for Ozone and Related Chemical Tracers, version 2 (MOZART-2). AIRS midtropospheric CO₂ data are used to study the temporal and spatial variability of CO₂ in response to El Niño. CO₂ differences between the central and western Pacific Ocean correlate well with the Southern Oscillation index. To reveal the temporal and spatial variability of the El Niño signal in the AIRS midtropospheric CO₂, a multiple regression method is applied to the CO₂ data from September 2002 to February 2011. There is more (less) midtropospheric CO₂ in the central Pacific and less (more) midtropospheric CO₂ in the western Pacific during El Niño (La Niña) events. Similar results are seen in the MOZART-2 convolved midtropospheric CO₂, although the El Niño signal in the MOZART-2 is weaker than that in the AIRS data.
C02	`01`	`2`		`@0 001E02D04`
C02	`02`	`2`		`@0 001E02D`
C03	`01`	`2`	`FRE`	`@0 El Nino @5 01`
C03	`01`	`2`	`ENG`	`@0 El Nino @5 01`
C03	`02`	`X`	`FRE`	`@0 Dioxyde de carbone @2 NK @2 FX @5 02`
C03	`02`	`X`	`ENG`	`@0 Carbon dioxide @2 NK @2 FX @5 02`
C03	`02`	`X`	`SPA`	`@0 Carbono dióxido @2 NK @2 FX @5 02`
C03	`03`	`2`	`FRE`	`@0 Modèle @5 03`
C03	`03`	`2`	`ENG`	`@0 models @5 03`
C03	`03`	`2`	`SPA`	`@0 Modelo @5 03`
C03	`04`	`X`	`FRE`	`@0 Distribution concentration @5 04`
C03	`04`	`X`	`ENG`	`@0 Concentration distribution @5 04`
C03	`04`	`X`	`SPA`	`@0 Distribución concentración @5 04`
C03	`05`	`2`	`FRE`	`@0 Variation temporelle @5 06`
C03	`05`	`2`	`ENG`	`@0 time variations @5 06`
C03	`05`	`2`	`SPA`	`@0 Variación temporal @5 06`
C03	`06`	`2`	`FRE`	`@0 Variation spatiale @5 07`
C03	`06`	`2`	`ENG`	`@0 spatial variations @5 07`
C03	`06`	`2`	`SPA`	`@0 Variación espacial @5 07`
C03	`07`	`X`	`FRE`	`@0 Régression multiple @5 10`
C03	`07`	`X`	`ENG`	`@0 Multiple regression @5 10`
C03	`07`	`X`	`SPA`	`@0 Regresión múltiple @5 10`
C03	`08`	`2`	`FRE`	`@0 La Nina @5 11`
C03	`08`	`2`	`ENG`	`@0 La Nina @5 11`
C03	`09`	`3`	`FRE`	`@0 Chimie atmosphérique @5 12`
C03	`09`	`3`	`ENG`	`@0 Atmospheric chemistry @5 12`
C03	`10`	`X`	`FRE`	`@0 Téléconnexion @5 13`
C03	`10`	`X`	`ENG`	`@0 Teleconnection @5 13`
C03	`10`	`X`	`SPA`	`@0 Teleconexión @5 13`
C03	`11`	`2`	`FRE`	`@0 Océan Pacifique Central @2 NG @5 21`
C03	`11`	`2`	`ENG`	`@0 Central Pacific @2 NG @5 21`
C03	`12`	`2`	`FRE`	`@0 Océan Pacifique Ouest @2 NG @5 22`
C03	`12`	`2`	`ENG`	`@0 West Pacific @2 NG @5 22`
C03	`13`	`2`	`FRE`	`@0 Gaz effet serre @5 41`
C03	`13`	`2`	`ENG`	`@0 greenhouse gas @5 41`
C03	`14`	`X`	`FRE`	`@0 Observation par satellite @5 42`
C03	`14`	`X`	`ENG`	`@0 Satellite observation @5 42`
C03	`14`	`X`	`SPA`	`@0 Observación por satélite @5 42`
C03	`15`	`2`	`FRE`	`@0 Analyse statistique @5 43`
C03	`15`	`2`	`ENG`	`@0 statistical analysis @5 43`
C03	`16`	`2`	`FRE`	`@0 Télédétection spatiale @5 44`
C03	`16`	`2`	`ENG`	`@0 Space remote sensing @5 44`
C03	`16`	`2`	`SPA`	`@0 Teledetección espacial @5 44`
C03	`17`	`2`	`FRE`	`@0 Sondeur infrarouge avancé @4 CD @5 96`
C03	`17`	`2`	`ENG`	`@0 Advanced infrared sounder @4 CD @5 96`
C03	`17`	`2`	`SPA`	`@0 Sonda avanzada en el infrarrojo @4 CD @5 96`
C03	`18`	`2`	`FRE`	`@0 El Niño Oscillation australe @4 CD @5 97`
C03	`18`	`2`	`ENG`	`@0 El Niño Southern Oscillation @4 CD @5 97`
C03	`18`	`2`	`SPA`	`@0 El Niño Oscilación Austral @4 CD @5 97`
C07	`01`	`2`	`FRE`	`@0 Océan Pacifique @2 564`
C07	`01`	`2`	`ENG`	`@0 Pacific Ocean @2 564`
C07	`01`	`2`	`SPA`	`@0 Océano Pacífico @2 564`
N21				`@1 189`

Format Inist (serveur)

NO :	PASCAL 13-0203313 INIST
ET :	Influence of El Niño on Midtropospheric CO₂ from Atmospheric Infrared Sounder and Model
AU :	XUN JIANG; JINGQIAN WANG; OLSEN (Edward T.); MAOCHANG LIANG; PAGANO (Thomas S.); CHEN (Luke L.); LICATA (Stephen J.); YUNG (Yuk L.)
AF :	Department of Earth and Atmospheric Sciences, University of Houston/Houston, Texas/Etats-Unis (1 aut., 2 aut.); Science Division, Jet Propulsion Laboratory, California Institute of Technology/Pasadena, California/Etats-Unis (3 aut.); Research Center for Environmental Changes, Academia Sinica, Taipei, and Graduate Institute of Astronomy, National Central University/Jhongli/Taïwan (4 aut.); Science Division, Jet Propulsion Laboratory, California Institute of Technology/Pasadena, California/Etats-Unis (5 aut., 6 aut., 7 aut.); Division of Geological and Planetary Sciences, California Institute of Technology/Pasadena, California/Etats-Unis (8 aut.)
DT :	Publication en série; Niveau analytique
SO :	Journal of the atmospheric sciences; ISSN 0022-4928; Coden JAHSAK; Etats-Unis; Da. 2013; Vol. 70; No. 1; Pp. 223-230; Bibl. 3/4 p.
LA :	Anglais
EA :	The authors investigate the influence of El Niño on midtropospheric CO₂ from the Atmospheric Infrared Sounder (AIRS) and the Model for Ozone and Related Chemical Tracers, version 2 (MOZART-2). AIRS midtropospheric CO₂ data are used to study the temporal and spatial variability of CO₂ in response to El Niño. CO₂ differences between the central and western Pacific Ocean correlate well with the Southern Oscillation index. To reveal the temporal and spatial variability of the El Niño signal in the AIRS midtropospheric CO₂, a multiple regression method is applied to the CO₂ data from September 2002 to February 2011. There is more (less) midtropospheric CO₂ in the central Pacific and less (more) midtropospheric CO₂ in the western Pacific during El Niño (La Niña) events. Similar results are seen in the MOZART-2 convolved midtropospheric CO₂, although the El Niño signal in the MOZART-2 is weaker than that in the AIRS data.
CC :	001E02D04; 001E02D
FD :	El Nino; Dioxyde de carbone; Modèle; Distribution concentration; Variation temporelle; Variation spatiale; Régression multiple; La Nina; Chimie atmosphérique; Téléconnexion; Océan Pacifique Central; Océan Pacifique Ouest; Gaz effet serre; Observation par satellite; Analyse statistique; Télédétection spatiale; Sondeur infrarouge avancé; El Niño Oscillation australe
FG :	Océan Pacifique
ED :	El Nino; Carbon dioxide; models; Concentration distribution; time variations; spatial variations; Multiple regression; La Nina; Atmospheric chemistry; Teleconnection; Central Pacific; West Pacific; greenhouse gas; Satellite observation; statistical analysis; Space remote sensing; Advanced infrared sounder; El Niño Southern Oscillation
EG :	Pacific Ocean
SD :	Carbono dióxido; Modelo; Distribución concentración; Variación temporal; Variación espacial; Regresión múltiple; Teleconexión; Observación por satélite; Teledetección espacial; Sonda avanzada en el infrarrojo; El Niño Oscilación Austral
LO :	INIST-6498.354000173257140140
ID :	13-0203313

Links to Exploration step

Pascal:13-0203313

Le document en format XML

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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Influence of El Niño on Midtropospheric CO<sub>2</sub>
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<author><name sortKey="Xun Jiang" sort="Xun Jiang" uniqKey="Xun Jiang" last="Xun Jiang">XUN JIANG</name>
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<author><name sortKey="Jingqian Wang" sort="Jingqian Wang" uniqKey="Jingqian Wang" last="Jingqian Wang">JINGQIAN WANG</name>
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<author><name sortKey="Licata, Stephen J" sort="Licata, Stephen J" uniqKey="Licata S" first="Stephen J." last="Licata">Stephen J. Licata</name>
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<author><name sortKey="Yung, Yuk L" sort="Yung, Yuk L" uniqKey="Yung Y" first="Yuk L." last="Yung">Yuk L. Yung</name>
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<series><title level="j" type="main">Journal of the atmospheric sciences</title>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Advanced infrared sounder</term>
<term>Atmospheric chemistry</term>
<term>Carbon dioxide</term>
<term>Central Pacific</term>
<term>Concentration distribution</term>
<term>El Nino</term>
<term>El Niño Southern Oscillation</term>
<term>La Nina</term>
<term>Multiple regression</term>
<term>Satellite observation</term>
<term>Space remote sensing</term>
<term>Teleconnection</term>
<term>West Pacific</term>
<term>greenhouse gas</term>
<term>models</term>
<term>spatial variations</term>
<term>statistical analysis</term>
<term>time variations</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>El Nino</term>
<term>Dioxyde de carbone</term>
<term>Modèle</term>
<term>Distribution concentration</term>
<term>Variation temporelle</term>
<term>Variation spatiale</term>
<term>Régression multiple</term>
<term>La Nina</term>
<term>Chimie atmosphérique</term>
<term>Téléconnexion</term>
<term>Océan Pacifique Central</term>
<term>Océan Pacifique Ouest</term>
<term>Gaz effet serre</term>
<term>Observation par satellite</term>
<term>Analyse statistique</term>
<term>Télédétection spatiale</term>
<term>Sondeur infrarouge avancé</term>
<term>El Niño Oscillation australe</term>
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<front><div type="abstract" xml:lang="en">The authors investigate the influence of El Niño on midtropospheric CO<sub>2</sub>
 from the Atmospheric Infrared Sounder (AIRS) and the Model for Ozone and Related Chemical Tracers, version 2 (MOZART-2). AIRS midtropospheric CO<sub>2</sub>
 data are used to study the temporal and spatial variability of CO<sub>2</sub>
 in response to El Niño. CO<sub>2</sub>
 differences between the central and western Pacific Ocean correlate well with the Southern Oscillation index. To reveal the temporal and spatial variability of the El Niño signal in the AIRS midtropospheric CO<sub>2</sub>
, a multiple regression method is applied to the CO<sub>2</sub>
 data from September 2002 to February 2011. There is more (less) midtropospheric CO<sub>2</sub>
 in the central Pacific and less (more) midtropospheric CO<sub>2</sub>
 in the western Pacific during El Niño (La Niña) events. Similar results are seen in the MOZART-2 convolved midtropospheric CO<sub>2</sub>
, although the El Niño signal in the MOZART-2 is weaker than that in the AIRS data.</div>
</front>
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<fA06><s2>1</s2>
</fA06>
<fA08 i1="01" i2="1" l="ENG"><s1>Influence of El Niño on Midtropospheric CO<sub>2</sub>
 from Atmospheric Infrared Sounder and Model</s1>
</fA08>
<fA11 i1="01" i2="1"><s1>XUN JIANG</s1>
</fA11>
<fA11 i1="02" i2="1"><s1>JINGQIAN WANG</s1>
</fA11>
<fA11 i1="03" i2="1"><s1>OLSEN (Edward T.)</s1>
</fA11>
<fA11 i1="04" i2="1"><s1>MAOCHANG LIANG</s1>
</fA11>
<fA11 i1="05" i2="1"><s1>PAGANO (Thomas S.)</s1>
</fA11>
<fA11 i1="06" i2="1"><s1>CHEN (Luke L.)</s1>
</fA11>
<fA11 i1="07" i2="1"><s1>LICATA (Stephen J.)</s1>
</fA11>
<fA11 i1="08" i2="1"><s1>YUNG (Yuk L.)</s1>
</fA11>
<fA14 i1="01"><s1>Department of Earth and Atmospheric Sciences, University of Houston</s1>
<s2>Houston, Texas</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
</fA14>
<fA14 i1="02"><s1>Science Division, Jet Propulsion Laboratory, California Institute of Technology</s1>
<s2>Pasadena, California</s2>
<s3>USA</s3>
<sZ>3 aut.</sZ>
</fA14>
<fA14 i1="03"><s1>Research Center for Environmental Changes, Academia Sinica, Taipei, and Graduate Institute of Astronomy, National Central University</s1>
<s2>Jhongli</s2>
<s3>TWN</s3>
<sZ>4 aut.</sZ>
</fA14>
<fA14 i1="04"><s1>Science Division, Jet Propulsion Laboratory, California Institute of Technology</s1>
<s2>Pasadena, California</s2>
<s3>USA</s3>
<sZ>5 aut.</sZ>
<sZ>6 aut.</sZ>
<sZ>7 aut.</sZ>
</fA14>
<fA14 i1="05"><s1>Division of Geological and Planetary Sciences, California Institute of Technology</s1>
<s2>Pasadena, California</s2>
<s3>USA</s3>
<sZ>8 aut.</sZ>
</fA14>
<fA20><s1>223-230</s1>
</fA20>
<fA21><s1>2013</s1>
</fA21>
<fA23 i1="01"><s0>ENG</s0>
</fA23>
<fA43 i1="01"><s1>INIST</s1>
<s2>6498</s2>
<s5>354000173257140140</s5>
</fA43>
<fA44><s0>0000</s0>
<s1>© 2013 INIST-CNRS. All rights reserved.</s1>
</fA44>
<fA45><s0>3/4 p.</s0>
</fA45>
<fA47 i1="01" i2="1"><s0>13-0203313</s0>
</fA47>
<fA60><s1>P</s1>
</fA60>
<fA61><s0>A</s0>
</fA61>
<fA64 i1="01" i2="1"><s0>Journal of the atmospheric sciences</s0>
</fA64>
<fA66 i1="01"><s0>USA</s0>
</fA66>
<fC01 i1="01" l="ENG"><s0>The authors investigate the influence of El Niño on midtropospheric CO<sub>2</sub>
 from the Atmospheric Infrared Sounder (AIRS) and the Model for Ozone and Related Chemical Tracers, version 2 (MOZART-2). AIRS midtropospheric CO<sub>2</sub>
 data are used to study the temporal and spatial variability of CO<sub>2</sub>
 in response to El Niño. CO<sub>2</sub>
 differences between the central and western Pacific Ocean correlate well with the Southern Oscillation index. To reveal the temporal and spatial variability of the El Niño signal in the AIRS midtropospheric CO<sub>2</sub>
, a multiple regression method is applied to the CO<sub>2</sub>
 data from September 2002 to February 2011. There is more (less) midtropospheric CO<sub>2</sub>
 in the central Pacific and less (more) midtropospheric CO<sub>2</sub>
 in the western Pacific during El Niño (La Niña) events. Similar results are seen in the MOZART-2 convolved midtropospheric CO<sub>2</sub>
, although the El Niño signal in the MOZART-2 is weaker than that in the AIRS data.</s0>
</fC01>
<fC02 i1="01" i2="2"><s0>001E02D04</s0>
</fC02>
<fC02 i1="02" i2="2"><s0>001E02D</s0>
</fC02>
<fC03 i1="01" i2="2" l="FRE"><s0>El Nino</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="2" l="ENG"><s0>El Nino</s0>
<s5>01</s5>
</fC03>
<fC03 i1="02" i2="X" l="FRE"><s0>Dioxyde de carbone</s0>
<s2>NK</s2>
<s2>FX</s2>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="X" l="ENG"><s0>Carbon dioxide</s0>
<s2>NK</s2>
<s2>FX</s2>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="X" l="SPA"><s0>Carbono dióxido</s0>
<s2>NK</s2>
<s2>FX</s2>
<s5>02</s5>
</fC03>
<fC03 i1="03" i2="2" l="FRE"><s0>Modèle</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="2" l="ENG"><s0>models</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="2" l="SPA"><s0>Modelo</s0>
<s5>03</s5>
</fC03>
<fC03 i1="04" i2="X" l="FRE"><s0>Distribution concentration</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="X" l="ENG"><s0>Concentration distribution</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="X" l="SPA"><s0>Distribución concentración</s0>
<s5>04</s5>
</fC03>
<fC03 i1="05" i2="2" l="FRE"><s0>Variation temporelle</s0>
<s5>06</s5>
</fC03>
<fC03 i1="05" i2="2" l="ENG"><s0>time variations</s0>
<s5>06</s5>
</fC03>
<fC03 i1="05" i2="2" l="SPA"><s0>Variación temporal</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="2" l="FRE"><s0>Variation spatiale</s0>
<s5>07</s5>
</fC03>
<fC03 i1="06" i2="2" l="ENG"><s0>spatial variations</s0>
<s5>07</s5>
</fC03>
<fC03 i1="06" i2="2" l="SPA"><s0>Variación espacial</s0>
<s5>07</s5>
</fC03>
<fC03 i1="07" i2="X" l="FRE"><s0>Régression multiple</s0>
<s5>10</s5>
</fC03>
<fC03 i1="07" i2="X" l="ENG"><s0>Multiple regression</s0>
<s5>10</s5>
</fC03>
<fC03 i1="07" i2="X" l="SPA"><s0>Regresión múltiple</s0>
<s5>10</s5>
</fC03>
<fC03 i1="08" i2="2" l="FRE"><s0>La Nina</s0>
<s5>11</s5>
</fC03>
<fC03 i1="08" i2="2" l="ENG"><s0>La Nina</s0>
<s5>11</s5>
</fC03>
<fC03 i1="09" i2="3" l="FRE"><s0>Chimie atmosphérique</s0>
<s5>12</s5>
</fC03>
<fC03 i1="09" i2="3" l="ENG"><s0>Atmospheric chemistry</s0>
<s5>12</s5>
</fC03>
<fC03 i1="10" i2="X" l="FRE"><s0>Téléconnexion</s0>
<s5>13</s5>
</fC03>
<fC03 i1="10" i2="X" l="ENG"><s0>Teleconnection</s0>
<s5>13</s5>
</fC03>
<fC03 i1="10" i2="X" l="SPA"><s0>Teleconexión</s0>
<s5>13</s5>
</fC03>
<fC03 i1="11" i2="2" l="FRE"><s0>Océan Pacifique Central</s0>
<s2>NG</s2>
<s5>21</s5>
</fC03>
<fC03 i1="11" i2="2" l="ENG"><s0>Central Pacific</s0>
<s2>NG</s2>
<s5>21</s5>
</fC03>
<fC03 i1="12" i2="2" l="FRE"><s0>Océan Pacifique Ouest</s0>
<s2>NG</s2>
<s5>22</s5>
</fC03>
<fC03 i1="12" i2="2" l="ENG"><s0>West Pacific</s0>
<s2>NG</s2>
<s5>22</s5>
</fC03>
<fC03 i1="13" i2="2" l="FRE"><s0>Gaz effet serre</s0>
<s5>41</s5>
</fC03>
<fC03 i1="13" i2="2" l="ENG"><s0>greenhouse gas</s0>
<s5>41</s5>
</fC03>
<fC03 i1="14" i2="X" l="FRE"><s0>Observation par satellite</s0>
<s5>42</s5>
</fC03>
<fC03 i1="14" i2="X" l="ENG"><s0>Satellite observation</s0>
<s5>42</s5>
</fC03>
<fC03 i1="14" i2="X" l="SPA"><s0>Observación por satélite</s0>
<s5>42</s5>
</fC03>
<fC03 i1="15" i2="2" l="FRE"><s0>Analyse statistique</s0>
<s5>43</s5>
</fC03>
<fC03 i1="15" i2="2" l="ENG"><s0>statistical analysis</s0>
<s5>43</s5>
</fC03>
<fC03 i1="16" i2="2" l="FRE"><s0>Télédétection spatiale</s0>
<s5>44</s5>
</fC03>
<fC03 i1="16" i2="2" l="ENG"><s0>Space remote sensing</s0>
<s5>44</s5>
</fC03>
<fC03 i1="16" i2="2" l="SPA"><s0>Teledetección espacial</s0>
<s5>44</s5>
</fC03>
<fC03 i1="17" i2="2" l="FRE"><s0>Sondeur infrarouge avancé</s0>
<s4>CD</s4>
<s5>96</s5>
</fC03>
<fC03 i1="17" i2="2" l="ENG"><s0>Advanced infrared sounder</s0>
<s4>CD</s4>
<s5>96</s5>
</fC03>
<fC03 i1="17" i2="2" l="SPA"><s0>Sonda avanzada en el infrarrojo</s0>
<s4>CD</s4>
<s5>96</s5>
</fC03>
<fC03 i1="18" i2="2" l="FRE"><s0>El Niño Oscillation australe</s0>
<s4>CD</s4>
<s5>97</s5>
</fC03>
<fC03 i1="18" i2="2" l="ENG"><s0>El Niño Southern Oscillation</s0>
<s4>CD</s4>
<s5>97</s5>
</fC03>
<fC03 i1="18" i2="2" l="SPA"><s0>El Niño Oscilación Austral</s0>
<s4>CD</s4>
<s5>97</s5>
</fC03>
<fC07 i1="01" i2="2" l="FRE"><s0>Océan Pacifique</s0>
<s2>564</s2>
</fC07>
<fC07 i1="01" i2="2" l="ENG"><s0>Pacific Ocean</s0>
<s2>564</s2>
</fC07>
<fC07 i1="01" i2="2" l="SPA"><s0>Océano Pacífico</s0>
<s2>564</s2>
</fC07>
<fN21><s1>189</s1>
</fN21>
</pA>
</standard>
<server><NO>PASCAL 13-0203313 INIST</NO>
<ET>Influence of El Niño on Midtropospheric CO<sub>2</sub>
 from Atmospheric Infrared Sounder and Model</ET>
<AU>XUN JIANG; JINGQIAN WANG; OLSEN (Edward T.); MAOCHANG LIANG; PAGANO (Thomas S.); CHEN (Luke L.); LICATA (Stephen J.); YUNG (Yuk L.)</AU>
<AF>Department of Earth and Atmospheric Sciences, University of Houston/Houston, Texas/Etats-Unis (1 aut., 2 aut.); Science Division, Jet Propulsion Laboratory, California Institute of Technology/Pasadena, California/Etats-Unis (3 aut.); Research Center for Environmental Changes, Academia Sinica, Taipei, and Graduate Institute of Astronomy, National Central University/Jhongli/Taïwan (4 aut.); Science Division, Jet Propulsion Laboratory, California Institute of Technology/Pasadena, California/Etats-Unis (5 aut., 6 aut., 7 aut.); Division of Geological and Planetary Sciences, California Institute of Technology/Pasadena, California/Etats-Unis (8 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Journal of the atmospheric sciences; ISSN 0022-4928; Coden JAHSAK; Etats-Unis; Da. 2013; Vol. 70; No. 1; Pp. 223-230; Bibl. 3/4 p.</SO>
<LA>Anglais</LA>
<EA>The authors investigate the influence of El Niño on midtropospheric CO<sub>2</sub>
 from the Atmospheric Infrared Sounder (AIRS) and the Model for Ozone and Related Chemical Tracers, version 2 (MOZART-2). AIRS midtropospheric CO<sub>2</sub>
 data are used to study the temporal and spatial variability of CO<sub>2</sub>
 in response to El Niño. CO<sub>2</sub>
 differences between the central and western Pacific Ocean correlate well with the Southern Oscillation index. To reveal the temporal and spatial variability of the El Niño signal in the AIRS midtropospheric CO<sub>2</sub>
, a multiple regression method is applied to the CO<sub>2</sub>
 data from September 2002 to February 2011. There is more (less) midtropospheric CO<sub>2</sub>
 in the central Pacific and less (more) midtropospheric CO<sub>2</sub>
 in the western Pacific during El Niño (La Niña) events. Similar results are seen in the MOZART-2 convolved midtropospheric CO<sub>2</sub>
, although the El Niño signal in the MOZART-2 is weaker than that in the AIRS data.</EA>
<CC>001E02D04; 001E02D</CC>
<FD>El Nino; Dioxyde de carbone; Modèle; Distribution concentration; Variation temporelle; Variation spatiale; Régression multiple; La Nina; Chimie atmosphérique; Téléconnexion; Océan Pacifique Central; Océan Pacifique Ouest; Gaz effet serre; Observation par satellite; Analyse statistique; Télédétection spatiale; Sondeur infrarouge avancé; El Niño Oscillation australe</FD>
<FG>Océan Pacifique</FG>
<ED>El Nino; Carbon dioxide; models; Concentration distribution; time variations; spatial variations; Multiple regression; La Nina; Atmospheric chemistry; Teleconnection; Central Pacific; West Pacific; greenhouse gas; Satellite observation; statistical analysis; Space remote sensing; Advanced infrared sounder; El Niño Southern Oscillation</ED>
<EG>Pacific Ocean</EG>
<SD>Carbono dióxido; Modelo; Distribución concentración; Variación temporal; Variación espacial; Regresión múltiple; Teleconexión; Observación por satélite; Teledetección espacial; Sonda avanzada en el infrarrojo; El Niño Oscilación Austral</SD>
<LO>INIST-6498.354000173257140140</LO>
<ID>13-0203313</ID>
</server>
</inist>
</record>

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Influence of El Niño on Midtropospheric CO2 from Atmospheric Infrared Sounder and Model

Influence of El Niño on Midtropospheric CO2 from Atmospheric Infrared Sounder and Model

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