Serveur d'exploration sur Mozart

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

Trends in tropical tropospheric column ozone from satellite data and MOZART model

Identifieur interne : 000127 ( PascalFrancis/Corpus ); précédent : 000126; suivant : 000128

Trends in tropical tropospheric column ozone from satellite data and MOZART model

Auteurs : Gufran Beig ; Vikas Singh

Source :

RBID : Pascal:07-0484392

Descripteurs français

English descriptors

Abstract

[1] Trend analysis of tropical (30°S-30°N) tropospheric columnar ozone (TCO) has been done using Nimbus7 and Earth Probe satellite -Total Ozone Mapping Spectrometer (TOMS) data for the period of 1979-2005 using multifunctional regression model. Results indicate highest increasing trend (7-9% per decade) over some parts of south Asian continental region which is attributed to increasingly high emissions of ozone precursors over the region. Among different marine regions, Ozone trend is found to be highest (4-6% per decade) over the Bay of Bengal which is largely be explained by the large scale wind systems causing massive transport of continental pollutants over this region. The study also includes the comparison of the satellite results with those obtained from a 3-D chemistry transport model. In some cases, the magnitude of observed trends is consistent with the model trends. However, in some cases like East Asia and area around Philippines differences are inevitable.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

pA  
A01 01  1    @0 0094-8276
A02 01      @0 GPRLAJ
A03   1    @0 Geophys. res. lett.
A05       @2 34
A06       @2 17
A08 01  1  ENG  @1 Trends in tropical tropospheric column ozone from satellite data and MOZART model
A11 01  1    @1 BEIG (Gufran)
A11 02  1    @1 SINGH (Vikas)
A14 01      @1 Indian Institute of Tropical Meteorology @2 Pune @3 IND @Z 1 aut. @Z 2 aut.
A14 02      @1 Now at Department of Electronics for Automation, Università degli Studi di Brescia @2 Brescia @3 ITA @Z 2 aut.
A20       @2 L17801.1-L17801.5
A21       @1 2007
A23 01      @0 ENG
A43 01      @1 INIST @2 16687 @5 354000162584780410
A44       @0 0000 @1 © 2007 INIST-CNRS. All rights reserved.
A45       @0 1/2 p.
A47 01  1    @0 07-0484392
A60       @1 P
A61       @0 A
A64 01  1    @0 Geophysical research letters
A66 01      @0 USA
C01 01    ENG  @0 [1] Trend analysis of tropical (30°S-30°N) tropospheric columnar ozone (TCO) has been done using Nimbus7 and Earth Probe satellite -Total Ozone Mapping Spectrometer (TOMS) data for the period of 1979-2005 using multifunctional regression model. Results indicate highest increasing trend (7-9% per decade) over some parts of south Asian continental region which is attributed to increasingly high emissions of ozone precursors over the region. Among different marine regions, Ozone trend is found to be highest (4-6% per decade) over the Bay of Bengal which is largely be explained by the large scale wind systems causing massive transport of continental pollutants over this region. The study also includes the comparison of the satellite results with those obtained from a 3-D chemistry transport model. In some cases, the magnitude of observed trends is consistent with the model trends. However, in some cases like East Asia and area around Philippines differences are inevitable.
C02 01  3    @0 001E
C02 02  2    @0 001E01
C02 03  2    @0 220
C03 01  2  FRE  @0 Analyse tendance @5 01
C03 01  2  ENG  @0 trend-surface analysis @5 01
C03 01  2  SPA  @0 Análisis tendencia @5 01
C03 02  2  FRE  @0 Troposphère @5 02
C03 02  2  ENG  @0 troposphere @5 02
C03 03  2  FRE  @0 Ozone @5 03
C03 03  2  ENG  @0 ozone @5 03
C03 03  2  SPA  @0 Ozono @5 03
C03 04  2  FRE  @0 Satellite @5 04
C03 04  2  ENG  @0 satellites @5 04
C03 04  2  SPA  @0 Satélite @5 04
C03 05  X  FRE  @0 Modèle régression @5 05
C03 05  X  ENG  @0 Regression model @5 05
C03 05  X  SPA  @0 Modelo regresión @5 05
C03 06  2  FRE  @0 Planète Terre @5 06
C03 06  2  ENG  @0 Earth @5 06
C03 06  2  SPA  @0 Planeta tierra @5 06
C03 07  3  FRE  @0 Variété applications @5 07
C03 07  3  ENG  @0 Mapping manifolds @5 07
C03 08  2  FRE  @0 Phénomène précurseur @5 08
C03 08  2  ENG  @0 precursors @5 08
C03 08  2  SPA  @0 Fenómeno precursor @5 08
C03 09  X  FRE  @0 Précurseur @5 09
C03 09  X  ENG  @0 Precursor @5 09
C03 09  X  SPA  @0 Precursor @5 09
C03 10  2  FRE  @0 Vent @5 10
C03 10  2  ENG  @0 winds @5 10
C03 10  2  SPA  @0 Viento @5 10
C03 11  2  FRE  @0 Transport @5 11
C03 11  2  ENG  @0 transport @5 11
C03 11  2  SPA  @0 Transporte @5 11
C03 12  2  FRE  @0 Polluant @5 12
C03 12  2  ENG  @0 pollutants @5 12
C03 12  2  SPA  @0 Contaminante @5 12
C03 13  X  FRE  @0 Asie du sud @2 NG @5 61
C03 13  X  ENG  @0 South Asia @2 NG @5 61
C03 13  X  SPA  @0 Asia del sur @2 NG @5 61
C03 14  2  FRE  @0 Golfe du Bengale @2 NG @5 62
C03 14  2  ENG  @0 Bay of Bengal @2 NG @5 62
C03 14  2  SPA  @0 Golfo de Bengala @2 NG @5 62
C07 01  X  FRE  @0 Asie @2 NG
C07 01  X  ENG  @0 Asia @2 NG
C07 01  X  SPA  @0 Asia @2 NG
C07 02  2  FRE  @0 Océan Indien
C07 02  2  ENG  @0 Indian Ocean
C07 02  2  SPA  @0 Océano Indico
N21       @1 316
N44 01      @1 OTO
N82       @1 OTO

Format Inist (serveur)

NO : PASCAL 07-0484392 INIST
ET : Trends in tropical tropospheric column ozone from satellite data and MOZART model
AU : BEIG (Gufran); SINGH (Vikas)
AF : Indian Institute of Tropical Meteorology/Pune/Inde (1 aut., 2 aut.); Now at Department of Electronics for Automation, Università degli Studi di Brescia/Brescia/Italie (2 aut.)
DT : Publication en série; Niveau analytique
SO : Geophysical research letters; ISSN 0094-8276; Coden GPRLAJ; Etats-Unis; Da. 2007; Vol. 34; No. 17; L17801.1-L17801.5; Bibl. 1/2 p.
LA : Anglais
EA : [1] Trend analysis of tropical (30°S-30°N) tropospheric columnar ozone (TCO) has been done using Nimbus7 and Earth Probe satellite -Total Ozone Mapping Spectrometer (TOMS) data for the period of 1979-2005 using multifunctional regression model. Results indicate highest increasing trend (7-9% per decade) over some parts of south Asian continental region which is attributed to increasingly high emissions of ozone precursors over the region. Among different marine regions, Ozone trend is found to be highest (4-6% per decade) over the Bay of Bengal which is largely be explained by the large scale wind systems causing massive transport of continental pollutants over this region. The study also includes the comparison of the satellite results with those obtained from a 3-D chemistry transport model. In some cases, the magnitude of observed trends is consistent with the model trends. However, in some cases like East Asia and area around Philippines differences are inevitable.
CC : 001E; 001E01; 220
FD : Analyse tendance; Troposphère; Ozone; Satellite; Modèle régression; Planète Terre; Variété applications; Phénomène précurseur; Précurseur; Vent; Transport; Polluant; Asie du sud; Golfe du Bengale
FG : Asie; Océan Indien
ED : trend-surface analysis; troposphere; ozone; satellites; Regression model; Earth; Mapping manifolds; precursors; Precursor; winds; transport; pollutants; South Asia; Bay of Bengal
EG : Asia; Indian Ocean
SD : Análisis tendencia; Ozono; Satélite; Modelo regresión; Planeta tierra; Fenómeno precursor; Precursor; Viento; Transporte; Contaminante; Asia del sur; Golfo de Bengala
LO : INIST-16687.354000162584780410
ID : 07-0484392

Links to Exploration step

Pascal:07-0484392

Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en" level="a">Trends in tropical tropospheric column ozone from satellite data and MOZART model</title>
<author>
<name sortKey="Beig, Gufran" sort="Beig, Gufran" uniqKey="Beig G" first="Gufran" last="Beig">Gufran Beig</name>
<affiliation>
<inist:fA14 i1="01">
<s1>Indian Institute of Tropical Meteorology</s1>
<s2>Pune</s2>
<s3>IND</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author>
<name sortKey="Singh, Vikas" sort="Singh, Vikas" uniqKey="Singh V" first="Vikas" last="Singh">Vikas Singh</name>
<affiliation>
<inist:fA14 i1="01">
<s1>Indian Institute of Tropical Meteorology</s1>
<s2>Pune</s2>
<s3>IND</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
</inist:fA14>
</affiliation>
<affiliation>
<inist:fA14 i1="02">
<s1>Now at Department of Electronics for Automation, Università degli Studi di Brescia</s1>
<s2>Brescia</s2>
<s3>ITA</s3>
<sZ>2 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">INIST</idno>
<idno type="inist">07-0484392</idno>
<date when="2007">2007</date>
<idno type="stanalyst">PASCAL 07-0484392 INIST</idno>
<idno type="RBID">Pascal:07-0484392</idno>
<idno type="wicri:Area/PascalFrancis/Corpus">000127</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en" level="a">Trends in tropical tropospheric column ozone from satellite data and MOZART model</title>
<author>
<name sortKey="Beig, Gufran" sort="Beig, Gufran" uniqKey="Beig G" first="Gufran" last="Beig">Gufran Beig</name>
<affiliation>
<inist:fA14 i1="01">
<s1>Indian Institute of Tropical Meteorology</s1>
<s2>Pune</s2>
<s3>IND</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author>
<name sortKey="Singh, Vikas" sort="Singh, Vikas" uniqKey="Singh V" first="Vikas" last="Singh">Vikas Singh</name>
<affiliation>
<inist:fA14 i1="01">
<s1>Indian Institute of Tropical Meteorology</s1>
<s2>Pune</s2>
<s3>IND</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
</inist:fA14>
</affiliation>
<affiliation>
<inist:fA14 i1="02">
<s1>Now at Department of Electronics for Automation, Università degli Studi di Brescia</s1>
<s2>Brescia</s2>
<s3>ITA</s3>
<sZ>2 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
</analytic>
<series>
<title level="j" type="main">Geophysical research letters</title>
<title level="j" type="abbreviated">Geophys. res. lett.</title>
<idno type="ISSN">0094-8276</idno>
<imprint>
<date when="2007">2007</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt>
<title level="j" type="main">Geophysical research letters</title>
<title level="j" type="abbreviated">Geophys. res. lett.</title>
<idno type="ISSN">0094-8276</idno>
</seriesStmt>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="KwdEn" xml:lang="en">
<term>Bay of Bengal</term>
<term>Earth</term>
<term>Mapping manifolds</term>
<term>Precursor</term>
<term>Regression model</term>
<term>South Asia</term>
<term>ozone</term>
<term>pollutants</term>
<term>precursors</term>
<term>satellites</term>
<term>transport</term>
<term>trend-surface analysis</term>
<term>troposphere</term>
<term>winds</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr">
<term>Analyse tendance</term>
<term>Troposphère</term>
<term>Ozone</term>
<term>Satellite</term>
<term>Modèle régression</term>
<term>Planète Terre</term>
<term>Variété applications</term>
<term>Phénomène précurseur</term>
<term>Précurseur</term>
<term>Vent</term>
<term>Transport</term>
<term>Polluant</term>
<term>Asie du sud</term>
<term>Golfe du Bengale</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">[1] Trend analysis of tropical (30°S-30°N) tropospheric columnar ozone (TCO) has been done using Nimbus7 and Earth Probe satellite -Total Ozone Mapping Spectrometer (TOMS) data for the period of 1979-2005 using multifunctional regression model. Results indicate highest increasing trend (7-9% per decade) over some parts of south Asian continental region which is attributed to increasingly high emissions of ozone precursors over the region. Among different marine regions, Ozone trend is found to be highest (4-6% per decade) over the Bay of Bengal which is largely be explained by the large scale wind systems causing massive transport of continental pollutants over this region. The study also includes the comparison of the satellite results with those obtained from a 3-D chemistry transport model. In some cases, the magnitude of observed trends is consistent with the model trends. However, in some cases like East Asia and area around Philippines differences are inevitable.</div>
</front>
</TEI>
<inist>
<standard h6="B">
<pA>
<fA01 i1="01" i2="1">
<s0>0094-8276</s0>
</fA01>
<fA02 i1="01">
<s0>GPRLAJ</s0>
</fA02>
<fA03 i2="1">
<s0>Geophys. res. lett.</s0>
</fA03>
<fA05>
<s2>34</s2>
</fA05>
<fA06>
<s2>17</s2>
</fA06>
<fA08 i1="01" i2="1" l="ENG">
<s1>Trends in tropical tropospheric column ozone from satellite data and MOZART model</s1>
</fA08>
<fA11 i1="01" i2="1">
<s1>BEIG (Gufran)</s1>
</fA11>
<fA11 i1="02" i2="1">
<s1>SINGH (Vikas)</s1>
</fA11>
<fA14 i1="01">
<s1>Indian Institute of Tropical Meteorology</s1>
<s2>Pune</s2>
<s3>IND</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
</fA14>
<fA14 i1="02">
<s1>Now at Department of Electronics for Automation, Università degli Studi di Brescia</s1>
<s2>Brescia</s2>
<s3>ITA</s3>
<sZ>2 aut.</sZ>
</fA14>
<fA20>
<s2>L17801.1-L17801.5</s2>
</fA20>
<fA21>
<s1>2007</s1>
</fA21>
<fA23 i1="01">
<s0>ENG</s0>
</fA23>
<fA43 i1="01">
<s1>INIST</s1>
<s2>16687</s2>
<s5>354000162584780410</s5>
</fA43>
<fA44>
<s0>0000</s0>
<s1>© 2007 INIST-CNRS. All rights reserved.</s1>
</fA44>
<fA45>
<s0>1/2 p.</s0>
</fA45>
<fA47 i1="01" i2="1">
<s0>07-0484392</s0>
</fA47>
<fA60>
<s1>P</s1>
</fA60>
<fA61>
<s0>A</s0>
</fA61>
<fA64 i1="01" i2="1">
<s0>Geophysical research letters</s0>
</fA64>
<fA66 i1="01">
<s0>USA</s0>
</fA66>
<fC01 i1="01" l="ENG">
<s0>[1] Trend analysis of tropical (30°S-30°N) tropospheric columnar ozone (TCO) has been done using Nimbus7 and Earth Probe satellite -Total Ozone Mapping Spectrometer (TOMS) data for the period of 1979-2005 using multifunctional regression model. Results indicate highest increasing trend (7-9% per decade) over some parts of south Asian continental region which is attributed to increasingly high emissions of ozone precursors over the region. Among different marine regions, Ozone trend is found to be highest (4-6% per decade) over the Bay of Bengal which is largely be explained by the large scale wind systems causing massive transport of continental pollutants over this region. The study also includes the comparison of the satellite results with those obtained from a 3-D chemistry transport model. In some cases, the magnitude of observed trends is consistent with the model trends. However, in some cases like East Asia and area around Philippines differences are inevitable.</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="2" l="FRE">
<s0>Analyse tendance</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="2" l="ENG">
<s0>trend-surface analysis</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="2" l="SPA">
<s0>Análisis tendencia</s0>
<s5>01</s5>
</fC03>
<fC03 i1="02" i2="2" l="FRE">
<s0>Troposphère</s0>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="2" l="ENG">
<s0>troposphere</s0>
<s5>02</s5>
</fC03>
<fC03 i1="03" i2="2" l="FRE">
<s0>Ozone</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="2" l="ENG">
<s0>ozone</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="2" l="SPA">
<s0>Ozono</s0>
<s5>03</s5>
</fC03>
<fC03 i1="04" i2="2" l="FRE">
<s0>Satellite</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="2" l="ENG">
<s0>satellites</s0>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="2" l="SPA">
<s0>Satélite</s0>
<s5>04</s5>
</fC03>
<fC03 i1="05" i2="X" l="FRE">
<s0>Modèle régression</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="X" l="ENG">
<s0>Regression model</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="X" l="SPA">
<s0>Modelo regresión</s0>
<s5>05</s5>
</fC03>
<fC03 i1="06" i2="2" l="FRE">
<s0>Planète Terre</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="2" l="ENG">
<s0>Earth</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="2" l="SPA">
<s0>Planeta tierra</s0>
<s5>06</s5>
</fC03>
<fC03 i1="07" i2="3" l="FRE">
<s0>Variété applications</s0>
<s5>07</s5>
</fC03>
<fC03 i1="07" i2="3" l="ENG">
<s0>Mapping manifolds</s0>
<s5>07</s5>
</fC03>
<fC03 i1="08" i2="2" l="FRE">
<s0>Phénomène précurseur</s0>
<s5>08</s5>
</fC03>
<fC03 i1="08" i2="2" l="ENG">
<s0>precursors</s0>
<s5>08</s5>
</fC03>
<fC03 i1="08" i2="2" l="SPA">
<s0>Fenómeno precursor</s0>
<s5>08</s5>
</fC03>
<fC03 i1="09" i2="X" l="FRE">
<s0>Précurseur</s0>
<s5>09</s5>
</fC03>
<fC03 i1="09" i2="X" l="ENG">
<s0>Precursor</s0>
<s5>09</s5>
</fC03>
<fC03 i1="09" i2="X" l="SPA">
<s0>Precursor</s0>
<s5>09</s5>
</fC03>
<fC03 i1="10" i2="2" l="FRE">
<s0>Vent</s0>
<s5>10</s5>
</fC03>
<fC03 i1="10" i2="2" l="ENG">
<s0>winds</s0>
<s5>10</s5>
</fC03>
<fC03 i1="10" i2="2" l="SPA">
<s0>Viento</s0>
<s5>10</s5>
</fC03>
<fC03 i1="11" i2="2" l="FRE">
<s0>Transport</s0>
<s5>11</s5>
</fC03>
<fC03 i1="11" i2="2" l="ENG">
<s0>transport</s0>
<s5>11</s5>
</fC03>
<fC03 i1="11" i2="2" l="SPA">
<s0>Transporte</s0>
<s5>11</s5>
</fC03>
<fC03 i1="12" i2="2" l="FRE">
<s0>Polluant</s0>
<s5>12</s5>
</fC03>
<fC03 i1="12" i2="2" l="ENG">
<s0>pollutants</s0>
<s5>12</s5>
</fC03>
<fC03 i1="12" i2="2" l="SPA">
<s0>Contaminante</s0>
<s5>12</s5>
</fC03>
<fC03 i1="13" i2="X" l="FRE">
<s0>Asie du sud</s0>
<s2>NG</s2>
<s5>61</s5>
</fC03>
<fC03 i1="13" i2="X" l="ENG">
<s0>South Asia</s0>
<s2>NG</s2>
<s5>61</s5>
</fC03>
<fC03 i1="13" i2="X" l="SPA">
<s0>Asia del sur</s0>
<s2>NG</s2>
<s5>61</s5>
</fC03>
<fC03 i1="14" i2="2" l="FRE">
<s0>Golfe du Bengale</s0>
<s2>NG</s2>
<s5>62</s5>
</fC03>
<fC03 i1="14" i2="2" l="ENG">
<s0>Bay of Bengal</s0>
<s2>NG</s2>
<s5>62</s5>
</fC03>
<fC03 i1="14" i2="2" l="SPA">
<s0>Golfo de Bengala</s0>
<s2>NG</s2>
<s5>62</s5>
</fC03>
<fC07 i1="01" i2="X" l="FRE">
<s0>Asie</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="01" i2="X" l="ENG">
<s0>Asia</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="01" i2="X" l="SPA">
<s0>Asia</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="02" i2="2" l="FRE">
<s0>Océan Indien</s0>
</fC07>
<fC07 i1="02" i2="2" l="ENG">
<s0>Indian Ocean</s0>
</fC07>
<fC07 i1="02" i2="2" l="SPA">
<s0>Océano Indico</s0>
</fC07>
<fN21>
<s1>316</s1>
</fN21>
<fN44 i1="01">
<s1>OTO</s1>
</fN44>
<fN82>
<s1>OTO</s1>
</fN82>
</pA>
</standard>
<server>
<NO>PASCAL 07-0484392 INIST</NO>
<ET>Trends in tropical tropospheric column ozone from satellite data and MOZART model</ET>
<AU>BEIG (Gufran); SINGH (Vikas)</AU>
<AF>Indian Institute of Tropical Meteorology/Pune/Inde (1 aut., 2 aut.); Now at Department of Electronics for Automation, Università degli Studi di Brescia/Brescia/Italie (2 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Geophysical research letters; ISSN 0094-8276; Coden GPRLAJ; Etats-Unis; Da. 2007; Vol. 34; No. 17; L17801.1-L17801.5; Bibl. 1/2 p.</SO>
<LA>Anglais</LA>
<EA>[1] Trend analysis of tropical (30°S-30°N) tropospheric columnar ozone (TCO) has been done using Nimbus7 and Earth Probe satellite -Total Ozone Mapping Spectrometer (TOMS) data for the period of 1979-2005 using multifunctional regression model. Results indicate highest increasing trend (7-9% per decade) over some parts of south Asian continental region which is attributed to increasingly high emissions of ozone precursors over the region. Among different marine regions, Ozone trend is found to be highest (4-6% per decade) over the Bay of Bengal which is largely be explained by the large scale wind systems causing massive transport of continental pollutants over this region. The study also includes the comparison of the satellite results with those obtained from a 3-D chemistry transport model. In some cases, the magnitude of observed trends is consistent with the model trends. However, in some cases like East Asia and area around Philippines differences are inevitable.</EA>
<CC>001E; 001E01; 220</CC>
<FD>Analyse tendance; Troposphère; Ozone; Satellite; Modèle régression; Planète Terre; Variété applications; Phénomène précurseur; Précurseur; Vent; Transport; Polluant; Asie du sud; Golfe du Bengale</FD>
<FG>Asie; Océan Indien</FG>
<ED>trend-surface analysis; troposphere; ozone; satellites; Regression model; Earth; Mapping manifolds; precursors; Precursor; winds; transport; pollutants; South Asia; Bay of Bengal</ED>
<EG>Asia; Indian Ocean</EG>
<SD>Análisis tendencia; Ozono; Satélite; Modelo regresión; Planeta tierra; Fenómeno precursor; Precursor; Viento; Transporte; Contaminante; Asia del sur; Golfo de Bengala</SD>
<LO>INIST-16687.354000162584780410</LO>
<ID>07-0484392</ID>
</server>
</inist>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Wicri/Musique/explor/MozartV1/Data/PascalFrancis/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000127 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/PascalFrancis/Corpus/biblio.hfd -nk 000127 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Wicri/Musique
   |area=    MozartV1
   |flux=    PascalFrancis
   |étape=   Corpus
   |type=    RBID
   |clé=     Pascal:07-0484392
   |texte=   Trends in tropical tropospheric column ozone from satellite data and MOZART model
}}

Wicri

This area was generated with Dilib version V0.6.20.
Data generation: Sun Apr 10 15:06:14 2016. Site generation: Tue Feb 7 15:40:35 2023