MozartV1, PascalFrancis, Corpus, bibRecord, 000110

Characterizing the tropospheric ozone response to methane emission controls and the benefits to climate and air quality

Identifieur interne : 000110 ( PascalFrancis/Corpus ); précédent : 000109; suivant : 000111

Characterizing the tropospheric ozone response to methane emission controls and the benefits to climate and air quality

Auteurs : Arlene M. Fiore ; J. Jason West ; Larry W. Horowitz ; Vaishali Naik ; M. Daniel Schwarzkopf

Source :

Journal of geophysical research [ 0148-0227 ] ; 2008.

RBID : Pascal:08-0268210

Descripteurs français

Pascal (Inist)
- Troposphère, Ozone, Méthane, Climat, Qualité air, Phénomène transitoire, Simulation, Modèle, Monde, Réduction, Coût, Forçage, Ligne base, Phénomène précurseur, Précurseur, Air, Oxydation, Couche limite, Analyse sensibilité, Gaz effet serre.

English descriptors

KwdEn :
- Air quality, Forcing, Precursor, air, baseline, boundary layer, climate, cost, global, greenhouse gas, methane, models, oxidation, ozone, precursors, reduction, sensitivity analysis, simulation, transient phenomena, troposphere.

Abstract

[1] Reducing methane (CH₄) emissions is an attractive option for jointly addressing climate and ozone (0₃) air quality goals. With multidecadal full-chemistry transient simulations in the MOZART-2 tropospheric chemistry model, we show that tropospheric O₃ responds approximately linearly to changes in CH₄ emissions over a range of anthropogenic emissions from 0-430 Tg CH₄ a^-1 (0.11-0.16 Tg tropospheric 0₃ or ∼ 11-15 ppt global mean surface O₃ decrease per Tg a^-1 CH₄ reduced). We find that neither the air quality nor climate benefits depend strongly on the location of the CH₄ emission reductions, implying that the lowest cost emission controls can be targeted. With a series of future (2005-2030) transient simulations, we demonstrate that cost-effective CH₄ controls would offset the positive climate forcing from CH₄ and 0₃ that would otherwise occur (from increases in NO_x and CH₄ emissions in the baseline scenario) and improve O₃ air quality. We estimate that anthropogenic CH₄ contributes 0.7 Wm-² to climate forcing and ∼4 ppb to surface 0₃ in 2030 under the baseline scenario. Although the response of surface 0₃ to CH₄ is relatively uniform spatially compared to that from other 0₃ precursors, it is strongest in regions where surface air mixes frequently with the free troposphere and where the local 0₃ formation regime is NO_X-saturated. In the model, CH₄ oxidation within the boundary layer (below ∼2.5 km) contributes more to surface 0₃ than CH₄ oxidation in the free troposphere. In NO_X-saturated regions, the surface 0₃ sensitivity to CH₄ can be twice that of the global mean, with >70% of this sensitivity resulting from boundary layer oxidation of CH₄. Accurately representing the NO_x distribution is thus crucial for quantifying the O₃ sensitivity to CH₄.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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A14	`02`			`@1 Atmospheric and Oceanic Sciences Program, Princeton University @2 Princeton, New Jersey @3 USA @Z 2 aut.`
A14	`03`			`@1 Woodrow Wilson School of Public and International Affairs, Princeton University @2 Princeton, New Jersey @3 USA @Z 2 aut. @Z 4 aut.`
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C01	`01`		`ENG`	@0 [1] Reducing methane (CH₄) emissions is an attractive option for jointly addressing climate and ozone (0₃) air quality goals. With multidecadal full-chemistry transient simulations in the MOZART-2 tropospheric chemistry model, we show that tropospheric O₃ responds approximately linearly to changes in CH₄ emissions over a range of anthropogenic emissions from 0-430 Tg CH₄ a^-1 (0.11-0.16 Tg tropospheric 0₃ or ∼ 11-15 ppt global mean surface O₃ decrease per Tg a^-1 CH₄ reduced). We find that neither the air quality nor climate benefits depend strongly on the location of the CH₄ emission reductions, implying that the lowest cost emission controls can be targeted. With a series of future (2005-2030) transient simulations, we demonstrate that cost-effective CH₄ controls would offset the positive climate forcing from CH₄ and 0₃ that would otherwise occur (from increases in NO_x and CH₄ emissions in the baseline scenario) and improve O₃ air quality. We estimate that anthropogenic CH₄ contributes 0.7 Wm-² to climate forcing and ∼4 ppb to surface 0₃ in 2030 under the baseline scenario. Although the response of surface 0₃ to CH₄ is relatively uniform spatially compared to that from other 0₃ precursors, it is strongest in regions where surface air mixes frequently with the free troposphere and where the local 0₃ formation regime is NO_X-saturated. In the model, CH₄ oxidation within the boundary layer (below ∼2.5 km) contributes more to surface 0₃ than CH₄ oxidation in the free troposphere. In NO_X-saturated regions, the surface 0₃ sensitivity to CH₄ can be twice that of the global mean, with >70% of this sensitivity resulting from boundary layer oxidation of CH₄. Accurately representing the NO_x distribution is thus crucial for quantifying the O₃ sensitivity to CH₄.
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Format Inist (serveur)

NO :	PASCAL 08-0268210 INIST
ET :	Characterizing the tropospheric ozone response to methane emission controls and the benefits to climate and air quality
AU :	FIORE (Arlene M.); WEST (J. Jason); HOROWITZ (Larry W.); NAIK (Vaishali); SCHWARZKOPF (M. Daniel)
AF :	NOAA Geophysical Fluid Dynamics Laboratory/Princeton, New Jersey/Etats-Unis (1 aut., 3 aut., 5 aut.); Atmospheric and Oceanic Sciences Program, Princeton University/Princeton, New Jersey/Etats-Unis (2 aut.); Woodrow Wilson School of Public and International Affairs, Princeton University/Princeton, New Jersey/Etats-Unis (2 aut., 4 aut.)
DT :	Publication en série; Niveau analytique
SO :	Journal of geophysical research; ISSN 0148-0227; Etats-Unis; Da. 2008; Vol. 113; No. D8; D08307.1-D08307.16; Bibl. 1 p.1/4
LA :	Anglais
EA :	[1] Reducing methane (CH₄) emissions is an attractive option for jointly addressing climate and ozone (0₃) air quality goals. With multidecadal full-chemistry transient simulations in the MOZART-2 tropospheric chemistry model, we show that tropospheric O₃ responds approximately linearly to changes in CH₄ emissions over a range of anthropogenic emissions from 0-430 Tg CH₄ a^-1 (0.11-0.16 Tg tropospheric 0₃ or ∼ 11-15 ppt global mean surface O₃ decrease per Tg a^-1 CH₄ reduced). We find that neither the air quality nor climate benefits depend strongly on the location of the CH₄ emission reductions, implying that the lowest cost emission controls can be targeted. With a series of future (2005-2030) transient simulations, we demonstrate that cost-effective CH₄ controls would offset the positive climate forcing from CH₄ and 0₃ that would otherwise occur (from increases in NO_x and CH₄ emissions in the baseline scenario) and improve O₃ air quality. We estimate that anthropogenic CH₄ contributes 0.7 Wm-² to climate forcing and ∼4 ppb to surface 0₃ in 2030 under the baseline scenario. Although the response of surface 0₃ to CH₄ is relatively uniform spatially compared to that from other 0₃ precursors, it is strongest in regions where surface air mixes frequently with the free troposphere and where the local 0₃ formation regime is NO_X-saturated. In the model, CH₄ oxidation within the boundary layer (below ∼2.5 km) contributes more to surface 0₃ than CH₄ oxidation in the free troposphere. In NO_X-saturated regions, the surface 0₃ sensitivity to CH₄ can be twice that of the global mean, with >70% of this sensitivity resulting from boundary layer oxidation of CH₄. Accurately representing the NO_x distribution is thus crucial for quantifying the O₃ sensitivity to CH₄.
CC :	001E; 001E01; 220
FD :	Troposphère; Ozone; Méthane; Climat; Qualité air; Phénomène transitoire; Simulation; Modèle; Monde; Réduction; Coût; Forçage; Ligne base; Phénomène précurseur; Précurseur; Air; Oxydation; Couche limite; Analyse sensibilité; Gaz effet serre
ED :	troposphere; ozone; methane; climate; Air quality; transient phenomena; simulation; models; global; reduction; cost; Forcing; baseline; precursors; Precursor; air; oxidation; boundary layer; sensitivity analysis; greenhouse gas
SD :	Ozono; Metano; Clima; Calidad aire; Simulación; Modelo; Mundo; Costo; Forzamiento; Fenómeno precursor; Precursor; Oxidación; Capa límite
LO :	INIST-3144.354000197746610400
ID :	08-0268210

Links to Exploration step

Pascal:08-0268210

Le document en format XML

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<author><name sortKey="West, J Jason" sort="West, J Jason" uniqKey="West J" first="J. Jason" last="West">J. Jason West</name>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Air quality</term>
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<term>boundary layer</term>
<term>climate</term>
<term>cost</term>
<term>global</term>
<term>greenhouse gas</term>
<term>methane</term>
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<term>precursors</term>
<term>reduction</term>
<term>sensitivity analysis</term>
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<term>transient phenomena</term>
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<keywords scheme="Pascal" xml:lang="fr"><term>Troposphère</term>
<term>Ozone</term>
<term>Méthane</term>
<term>Climat</term>
<term>Qualité air</term>
<term>Phénomène transitoire</term>
<term>Simulation</term>
<term>Modèle</term>
<term>Monde</term>
<term>Réduction</term>
<term>Coût</term>
<term>Forçage</term>
<term>Ligne base</term>
<term>Phénomène précurseur</term>
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<front><div type="abstract" xml:lang="en">[1] Reducing methane (CH<sub>4</sub>
) emissions is an attractive option for jointly addressing climate and ozone (0<sub>3</sub>
) air quality goals. With multidecadal full-chemistry transient simulations in the MOZART-2 tropospheric chemistry model, we show that tropospheric O<sub>3</sub>
 responds approximately linearly to changes in CH<sub>4</sub>
 emissions over a range of anthropogenic emissions from 0-430 Tg CH<sub>4</sub>
 a<sup>-1</sup>
 (0.11-0.16 Tg tropospheric 0<sub>3</sub>
 or ∼ 11-15 ppt global mean surface O<sub>3</sub>
 decrease per Tg a<sup>-1</sup>
 CH<sub>4</sub>
 reduced). We find that neither the air quality nor climate benefits depend strongly on the location of the CH<sub>4</sub>
 emission reductions, implying that the lowest cost emission controls can be targeted. With a series of future (2005-2030) transient simulations, we demonstrate that cost-effective CH<sub>4</sub>
 controls would offset the positive climate forcing from CH<sub>4</sub>
 and 0<sub>3</sub>
 that would otherwise occur (from increases in NO<sub>x</sub>
 and CH<sub>4</sub>
 emissions in the baseline scenario) and improve O<sub>3</sub>
 air quality. We estimate that anthropogenic CH<sub>4</sub>
 contributes 0.7 Wm-<sup>2</sup>
 to climate forcing and ∼4 ppb to surface 0<sub>3</sub>
 in 2030 under the baseline scenario. Although the response of surface 0<sub>3</sub>
 to CH<sub>4</sub>
 is relatively uniform spatially compared to that from other 0<sub>3</sub>
 precursors, it is strongest in regions where surface air mixes frequently with the free troposphere and where the local 0<sub>3</sub>
 formation regime is NO<sub>X</sub>
-saturated. In the model, CH<sub>4</sub>
 oxidation within the boundary layer (below ∼2.5 km) contributes more to surface 0<sub>3</sub>
 than CH<sub>4</sub>
 oxidation in the free troposphere. In NO<sub>X</sub>
-saturated regions, the surface 0<sub>3</sub>
 sensitivity to CH<sub>4</sub>
 can be twice that of the global mean, with >70% of this sensitivity resulting from boundary layer oxidation of CH<sub>4</sub>
. Accurately representing the NO<sub>x</sub>
 distribution is thus crucial for quantifying the O<sub>3</sub>
 sensitivity to CH<sub>4</sub>
.</div>
</front>
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</fA08>
<fA11 i1="01" i2="1"><s1>FIORE (Arlene M.)</s1>
</fA11>
<fA11 i1="02" i2="1"><s1>WEST (J. Jason)</s1>
</fA11>
<fA11 i1="03" i2="1"><s1>HOROWITZ (Larry W.)</s1>
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<fA11 i1="04" i2="1"><s1>NAIK (Vaishali)</s1>
</fA11>
<fA11 i1="05" i2="1"><s1>SCHWARZKOPF (M. Daniel)</s1>
</fA11>
<fA14 i1="01"><s1>NOAA Geophysical Fluid Dynamics Laboratory</s1>
<s2>Princeton, New Jersey</s2>
<s3>USA</s3>
<sZ>1 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>5 aut.</sZ>
</fA14>
<fA14 i1="02"><s1>Atmospheric and Oceanic Sciences Program, Princeton University</s1>
<s2>Princeton, New Jersey</s2>
<s3>USA</s3>
<sZ>2 aut.</sZ>
</fA14>
<fA14 i1="03"><s1>Woodrow Wilson School of Public and International Affairs, Princeton University</s1>
<s2>Princeton, New Jersey</s2>
<s3>USA</s3>
<sZ>2 aut.</sZ>
<sZ>4 aut.</sZ>
</fA14>
<fA20><s2>D08307.1-D08307.16</s2>
</fA20>
<fA21><s1>2008</s1>
</fA21>
<fA23 i1="01"><s0>ENG</s0>
</fA23>
<fA43 i1="01"><s1>INIST</s1>
<s2>3144</s2>
<s5>354000197746610400</s5>
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<fA44><s0>0000</s0>
<s1>© 2008 INIST-CNRS. All rights reserved.</s1>
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<fA45><s0>1 p.1/4</s0>
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<fA47 i1="01" i2="1"><s0>08-0268210</s0>
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<fA60><s1>P</s1>
</fA60>
<fA61><s0>A</s0>
</fA61>
<fA64 i1="01" i2="1"><s0>Journal of geophysical research</s0>
</fA64>
<fA66 i1="01"><s0>USA</s0>
</fA66>
<fC01 i1="01" l="ENG"><s0>[1] Reducing methane (CH<sub>4</sub>
) emissions is an attractive option for jointly addressing climate and ozone (0<sub>3</sub>
) air quality goals. With multidecadal full-chemistry transient simulations in the MOZART-2 tropospheric chemistry model, we show that tropospheric O<sub>3</sub>
 responds approximately linearly to changes in CH<sub>4</sub>
 emissions over a range of anthropogenic emissions from 0-430 Tg CH<sub>4</sub>
 a<sup>-1</sup>
 (0.11-0.16 Tg tropospheric 0<sub>3</sub>
 or ∼ 11-15 ppt global mean surface O<sub>3</sub>
 decrease per Tg a<sup>-1</sup>
 CH<sub>4</sub>
 reduced). We find that neither the air quality nor climate benefits depend strongly on the location of the CH<sub>4</sub>
 emission reductions, implying that the lowest cost emission controls can be targeted. With a series of future (2005-2030) transient simulations, we demonstrate that cost-effective CH<sub>4</sub>
 controls would offset the positive climate forcing from CH<sub>4</sub>
 and 0<sub>3</sub>
 that would otherwise occur (from increases in NO<sub>x</sub>
 and CH<sub>4</sub>
 emissions in the baseline scenario) and improve O<sub>3</sub>
 air quality. We estimate that anthropogenic CH<sub>4</sub>
 contributes 0.7 Wm-<sup>2</sup>
 to climate forcing and ∼4 ppb to surface 0<sub>3</sub>
 in 2030 under the baseline scenario. Although the response of surface 0<sub>3</sub>
 to CH<sub>4</sub>
 is relatively uniform spatially compared to that from other 0<sub>3</sub>
 precursors, it is strongest in regions where surface air mixes frequently with the free troposphere and where the local 0<sub>3</sub>
 formation regime is NO<sub>X</sub>
-saturated. In the model, CH<sub>4</sub>
 oxidation within the boundary layer (below ∼2.5 km) contributes more to surface 0<sub>3</sub>
 than CH<sub>4</sub>
 oxidation in the free troposphere. In NO<sub>X</sub>
-saturated regions, the surface 0<sub>3</sub>
 sensitivity to CH<sub>4</sub>
 can be twice that of the global mean, with >70% of this sensitivity resulting from boundary layer oxidation of CH<sub>4</sub>
. Accurately representing the NO<sub>x</sub>
 distribution is thus crucial for quantifying the O<sub>3</sub>
 sensitivity to CH<sub>4</sub>
.</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>Troposphère</s0>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="2" l="ENG"><s0>troposphere</s0>
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<fC03 i1="02" i2="2" l="FRE"><s0>Ozone</s0>
<s5>02</s5>
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<s5>03</s5>
</fC03>
<fC03 i1="04" i2="2" l="FRE"><s0>Climat</s0>
<s5>04</s5>
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<s5>04</s5>
</fC03>
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<s5>04</s5>
</fC03>
<fC03 i1="05" i2="X" l="FRE"><s0>Qualité air</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="X" l="ENG"><s0>Air quality</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="X" l="SPA"><s0>Calidad aire</s0>
<s5>05</s5>
</fC03>
<fC03 i1="06" i2="2" l="FRE"><s0>Phénomène transitoire</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="2" l="ENG"><s0>transient phenomena</s0>
<s5>06</s5>
</fC03>
<fC03 i1="07" i2="2" l="FRE"><s0>Simulation</s0>
<s5>07</s5>
</fC03>
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<s5>07</s5>
</fC03>
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<s5>07</s5>
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<fC03 i1="08" i2="2" l="FRE"><s0>Modèle</s0>
<s5>08</s5>
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<s5>08</s5>
</fC03>
<fC03 i1="08" i2="2" l="SPA"><s0>Modelo</s0>
<s5>08</s5>
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<fC03 i1="09" i2="2" l="FRE"><s0>Monde</s0>
<s5>09</s5>
</fC03>
<fC03 i1="09" i2="2" l="ENG"><s0>global</s0>
<s5>09</s5>
</fC03>
<fC03 i1="09" i2="2" l="SPA"><s0>Mundo</s0>
<s5>09</s5>
</fC03>
<fC03 i1="10" i2="2" l="FRE"><s0>Réduction</s0>
<s5>10</s5>
</fC03>
<fC03 i1="10" i2="2" l="ENG"><s0>reduction</s0>
<s5>10</s5>
</fC03>
<fC03 i1="11" i2="2" l="FRE"><s0>Coût</s0>
<s5>11</s5>
</fC03>
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<s5>11</s5>
</fC03>
<fC03 i1="11" i2="2" l="SPA"><s0>Costo</s0>
<s5>11</s5>
</fC03>
<fC03 i1="12" i2="X" l="FRE"><s0>Forçage</s0>
<s5>12</s5>
</fC03>
<fC03 i1="12" i2="X" l="ENG"><s0>Forcing</s0>
<s5>12</s5>
</fC03>
<fC03 i1="12" i2="X" l="SPA"><s0>Forzamiento</s0>
<s5>12</s5>
</fC03>
<fC03 i1="13" i2="2" l="FRE"><s0>Ligne base</s0>
<s5>13</s5>
</fC03>
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<s5>13</s5>
</fC03>
<fC03 i1="14" i2="2" l="FRE"><s0>Phénomène précurseur</s0>
<s5>14</s5>
</fC03>
<fC03 i1="14" i2="2" l="ENG"><s0>precursors</s0>
<s5>14</s5>
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<s5>15</s5>
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<s5>17</s5>
</fC03>
<fC03 i1="18" i2="2" l="FRE"><s0>Couche limite</s0>
<s5>18</s5>
</fC03>
<fC03 i1="18" i2="2" l="ENG"><s0>boundary layer</s0>
<s5>18</s5>
</fC03>
<fC03 i1="18" i2="2" l="SPA"><s0>Capa límite</s0>
<s5>18</s5>
</fC03>
<fC03 i1="19" i2="2" l="FRE"><s0>Analyse sensibilité</s0>
<s5>19</s5>
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<s5>19</s5>
</fC03>
<fC03 i1="20" i2="2" l="FRE"><s0>Gaz effet serre</s0>
<s5>20</s5>
</fC03>
<fC03 i1="20" i2="2" l="ENG"><s0>greenhouse gas</s0>
<s5>20</s5>
</fC03>
<fN21><s1>168</s1>
</fN21>
<fN44 i1="01"><s1>OTO</s1>
</fN44>
<fN82><s1>OTO</s1>
</fN82>
</pA>
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<server><NO>PASCAL 08-0268210 INIST</NO>
<ET>Characterizing the tropospheric ozone response to methane emission controls and the benefits to climate and air quality</ET>
<AU>FIORE (Arlene M.); WEST (J. Jason); HOROWITZ (Larry W.); NAIK (Vaishali); SCHWARZKOPF (M. Daniel)</AU>
<AF>NOAA Geophysical Fluid Dynamics Laboratory/Princeton, New Jersey/Etats-Unis (1 aut., 3 aut., 5 aut.); Atmospheric and Oceanic Sciences Program, Princeton University/Princeton, New Jersey/Etats-Unis (2 aut.); Woodrow Wilson School of Public and International Affairs, Princeton University/Princeton, New Jersey/Etats-Unis (2 aut., 4 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Journal of geophysical research; ISSN 0148-0227; Etats-Unis; Da. 2008; Vol. 113; No. D8; D08307.1-D08307.16; Bibl. 1 p.1/4</SO>
<LA>Anglais</LA>
<EA>[1] Reducing methane (CH<sub>4</sub>
) emissions is an attractive option for jointly addressing climate and ozone (0<sub>3</sub>
) air quality goals. With multidecadal full-chemistry transient simulations in the MOZART-2 tropospheric chemistry model, we show that tropospheric O<sub>3</sub>
 responds approximately linearly to changes in CH<sub>4</sub>
 emissions over a range of anthropogenic emissions from 0-430 Tg CH<sub>4</sub>
 a<sup>-1</sup>
 (0.11-0.16 Tg tropospheric 0<sub>3</sub>
 or ∼ 11-15 ppt global mean surface O<sub>3</sub>
 decrease per Tg a<sup>-1</sup>
 CH<sub>4</sub>
 reduced). We find that neither the air quality nor climate benefits depend strongly on the location of the CH<sub>4</sub>
 emission reductions, implying that the lowest cost emission controls can be targeted. With a series of future (2005-2030) transient simulations, we demonstrate that cost-effective CH<sub>4</sub>
 controls would offset the positive climate forcing from CH<sub>4</sub>
 and 0<sub>3</sub>
 that would otherwise occur (from increases in NO<sub>x</sub>
 and CH<sub>4</sub>
 emissions in the baseline scenario) and improve O<sub>3</sub>
 air quality. We estimate that anthropogenic CH<sub>4</sub>
 contributes 0.7 Wm-<sup>2</sup>
 to climate forcing and ∼4 ppb to surface 0<sub>3</sub>
 in 2030 under the baseline scenario. Although the response of surface 0<sub>3</sub>
 to CH<sub>4</sub>
 is relatively uniform spatially compared to that from other 0<sub>3</sub>
 precursors, it is strongest in regions where surface air mixes frequently with the free troposphere and where the local 0<sub>3</sub>
 formation regime is NO<sub>X</sub>
-saturated. In the model, CH<sub>4</sub>
 oxidation within the boundary layer (below ∼2.5 km) contributes more to surface 0<sub>3</sub>
 than CH<sub>4</sub>
 oxidation in the free troposphere. In NO<sub>X</sub>
-saturated regions, the surface 0<sub>3</sub>
 sensitivity to CH<sub>4</sub>
 can be twice that of the global mean, with >70% of this sensitivity resulting from boundary layer oxidation of CH<sub>4</sub>
. Accurately representing the NO<sub>x</sub>
 distribution is thus crucial for quantifying the O<sub>3</sub>
 sensitivity to CH<sub>4</sub>
.</EA>
<CC>001E; 001E01; 220</CC>
<FD>Troposphère; Ozone; Méthane; Climat; Qualité air; Phénomène transitoire; Simulation; Modèle; Monde; Réduction; Coût; Forçage; Ligne base; Phénomène précurseur; Précurseur; Air; Oxydation; Couche limite; Analyse sensibilité; Gaz effet serre</FD>
<ED>troposphere; ozone; methane; climate; Air quality; transient phenomena; simulation; models; global; reduction; cost; Forcing; baseline; precursors; Precursor; air; oxidation; boundary layer; sensitivity analysis; greenhouse gas</ED>
<SD>Ozono; Metano; Clima; Calidad aire; Simulación; Modelo; Mundo; Costo; Forzamiento; Fenómeno precursor; Precursor; Oxidación; Capa límite</SD>
<LO>INIST-3144.354000197746610400</LO>
<ID>08-0268210</ID>
</server>
</inist>
</record>

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Characterizing the tropospheric ozone response to methane emission controls and the benefits to climate and air quality

Characterizing the tropospheric ozone response to methane emission controls and the benefits to climate and air quality

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