Monitoring global tropospheric OH concentrations using satellite observations of atmospheric methane
<p<The hydroxyl radical (OH) is the main tropospheric oxidant and the main sink for atmospheric methane. The global abundance of OH has been monitored for the past decades using atmospheric methyl chloroform (CH<sub<3</sub<CCl<sub<3</sub<) as a proxy. This method is bec...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Y. Zhang [verfasserIn] D. J. Jacob [verfasserIn] J. D. Maasakkers [verfasserIn] M. P. Sulprizio [verfasserIn] J.-X. Sheng [verfasserIn] R. Gautam [verfasserIn] J. Worden [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018 |
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| Übergeordnetes Werk: |
In: Atmospheric Chemistry and Physics - Copernicus Publications, 2003, 18(2018), Seite 15959-15973 |
|---|---|
| Übergeordnetes Werk: |
volume:18 ; year:2018 ; pages:15959-15973 |
| Links: |
Link aufrufen |
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| DOI / URN: |
10.5194/acp-18-15959-2018 |
|---|
| Katalog-ID: |
DOAJ076405303 |
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| 520 | |a <p<The hydroxyl radical (OH) is the main tropospheric oxidant and the main sink for atmospheric methane. The global abundance of OH has been monitored for the past decades using atmospheric methyl chloroform (CH<sub<3</sub<CCl<sub<3</sub<) as a proxy. This method is becoming ineffective as atmospheric CH<sub<3</sub<CCl<sub<3</sub< concentrations decline. Here we propose that satellite observations of atmospheric methane in the short-wave infrared (SWIR) and thermal infrared (TIR) can provide an alternative method for monitoring global OH concentrations. The premise is that the atmospheric signature of the methane sink from oxidation by OH is distinct from that of methane emissions. We evaluate this method in an observing system simulation experiment (OSSE) framework using synthetic SWIR and TIR satellite observations representative of the TROPOMI and CrIS instruments, respectively. The synthetic observations are interpreted with a Bayesian inverse analysis, optimizing both gridded methane emissions and global OH concentrations. The optimization is done analytically to provide complete error accounting, including error correlations between posterior emissions and OH concentrations. The potential bias caused by prior errors in the 3-D seasonal OH distribution is examined using OH fields from 12 different models in the ACCMIP archive. We find that the satellite observations of methane have the potential to constrain the global tropospheric OH concentration with a precision better than 1 % and an accuracy of about 3 % for SWIR and 7 % for TIR. The inversion can successfully separate the effects of perturbations to methane emissions and to OH concentrations. Interhemispheric differences in OH concentrations can also be successfully retrieved. Error estimates may be overoptimistic because we assume in this OSSE that errors are strictly random and have no systematic component. The availability of TROPOMI and CrIS data will soon provide an opportunity to test the method with actual observations.</p< | ||
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10.5194/acp-18-15959-2018 doi (DE-627)DOAJ076405303 (DE-599)DOAJ77510e7888e44add9d3768a1e13373a3 DE-627 ger DE-627 rakwb eng QC1-999 QD1-999 Y. Zhang verfasserin aut Monitoring global tropospheric OH concentrations using satellite observations of atmospheric methane 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<The hydroxyl radical (OH) is the main tropospheric oxidant and the main sink for atmospheric methane. The global abundance of OH has been monitored for the past decades using atmospheric methyl chloroform (CH<sub<3</sub<CCl<sub<3</sub<) as a proxy. This method is becoming ineffective as atmospheric CH<sub<3</sub<CCl<sub<3</sub< concentrations decline. Here we propose that satellite observations of atmospheric methane in the short-wave infrared (SWIR) and thermal infrared (TIR) can provide an alternative method for monitoring global OH concentrations. The premise is that the atmospheric signature of the methane sink from oxidation by OH is distinct from that of methane emissions. We evaluate this method in an observing system simulation experiment (OSSE) framework using synthetic SWIR and TIR satellite observations representative of the TROPOMI and CrIS instruments, respectively. The synthetic observations are interpreted with a Bayesian inverse analysis, optimizing both gridded methane emissions and global OH concentrations. The optimization is done analytically to provide complete error accounting, including error correlations between posterior emissions and OH concentrations. The potential bias caused by prior errors in the 3-D seasonal OH distribution is examined using OH fields from 12 different models in the ACCMIP archive. We find that the satellite observations of methane have the potential to constrain the global tropospheric OH concentration with a precision better than 1 % and an accuracy of about 3 % for SWIR and 7 % for TIR. The inversion can successfully separate the effects of perturbations to methane emissions and to OH concentrations. Interhemispheric differences in OH concentrations can also be successfully retrieved. Error estimates may be overoptimistic because we assume in this OSSE that errors are strictly random and have no systematic component. The availability of TROPOMI and CrIS data will soon provide an opportunity to test the method with actual observations.</p< Physics Chemistry Y. Zhang verfasserin aut D. J. Jacob verfasserin aut J. D. Maasakkers verfasserin aut M. P. Sulprizio verfasserin aut J.-X. Sheng verfasserin aut R. Gautam verfasserin aut J. Worden verfasserin aut In Atmospheric Chemistry and Physics Copernicus Publications, 2003 18(2018), Seite 15959-15973 (DE-627)092499996 16807324 nnns volume:18 year:2018 pages:15959-15973 https://doi.org/10.5194/acp-18-15959-2018 kostenfrei https://doaj.org/article/77510e7888e44add9d3768a1e13373a3 kostenfrei https://www.atmos-chem-phys.net/18/15959/2018/acp-18-15959-2018.pdf kostenfrei https://doaj.org/toc/1680-7316 Journal toc kostenfrei https://doaj.org/toc/1680-7324 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_381 AR 18 2018 15959-15973 |
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10.5194/acp-18-15959-2018 doi (DE-627)DOAJ076405303 (DE-599)DOAJ77510e7888e44add9d3768a1e13373a3 DE-627 ger DE-627 rakwb eng QC1-999 QD1-999 Y. Zhang verfasserin aut Monitoring global tropospheric OH concentrations using satellite observations of atmospheric methane 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<The hydroxyl radical (OH) is the main tropospheric oxidant and the main sink for atmospheric methane. The global abundance of OH has been monitored for the past decades using atmospheric methyl chloroform (CH<sub<3</sub<CCl<sub<3</sub<) as a proxy. This method is becoming ineffective as atmospheric CH<sub<3</sub<CCl<sub<3</sub< concentrations decline. Here we propose that satellite observations of atmospheric methane in the short-wave infrared (SWIR) and thermal infrared (TIR) can provide an alternative method for monitoring global OH concentrations. The premise is that the atmospheric signature of the methane sink from oxidation by OH is distinct from that of methane emissions. We evaluate this method in an observing system simulation experiment (OSSE) framework using synthetic SWIR and TIR satellite observations representative of the TROPOMI and CrIS instruments, respectively. The synthetic observations are interpreted with a Bayesian inverse analysis, optimizing both gridded methane emissions and global OH concentrations. The optimization is done analytically to provide complete error accounting, including error correlations between posterior emissions and OH concentrations. The potential bias caused by prior errors in the 3-D seasonal OH distribution is examined using OH fields from 12 different models in the ACCMIP archive. We find that the satellite observations of methane have the potential to constrain the global tropospheric OH concentration with a precision better than 1 % and an accuracy of about 3 % for SWIR and 7 % for TIR. The inversion can successfully separate the effects of perturbations to methane emissions and to OH concentrations. Interhemispheric differences in OH concentrations can also be successfully retrieved. Error estimates may be overoptimistic because we assume in this OSSE that errors are strictly random and have no systematic component. The availability of TROPOMI and CrIS data will soon provide an opportunity to test the method with actual observations.</p< Physics Chemistry Y. Zhang verfasserin aut D. J. Jacob verfasserin aut J. D. Maasakkers verfasserin aut M. P. Sulprizio verfasserin aut J.-X. Sheng verfasserin aut R. Gautam verfasserin aut J. Worden verfasserin aut In Atmospheric Chemistry and Physics Copernicus Publications, 2003 18(2018), Seite 15959-15973 (DE-627)092499996 16807324 nnns volume:18 year:2018 pages:15959-15973 https://doi.org/10.5194/acp-18-15959-2018 kostenfrei https://doaj.org/article/77510e7888e44add9d3768a1e13373a3 kostenfrei https://www.atmos-chem-phys.net/18/15959/2018/acp-18-15959-2018.pdf kostenfrei https://doaj.org/toc/1680-7316 Journal toc kostenfrei https://doaj.org/toc/1680-7324 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_381 AR 18 2018 15959-15973 |
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10.5194/acp-18-15959-2018 doi (DE-627)DOAJ076405303 (DE-599)DOAJ77510e7888e44add9d3768a1e13373a3 DE-627 ger DE-627 rakwb eng QC1-999 QD1-999 Y. Zhang verfasserin aut Monitoring global tropospheric OH concentrations using satellite observations of atmospheric methane 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<The hydroxyl radical (OH) is the main tropospheric oxidant and the main sink for atmospheric methane. The global abundance of OH has been monitored for the past decades using atmospheric methyl chloroform (CH<sub<3</sub<CCl<sub<3</sub<) as a proxy. This method is becoming ineffective as atmospheric CH<sub<3</sub<CCl<sub<3</sub< concentrations decline. Here we propose that satellite observations of atmospheric methane in the short-wave infrared (SWIR) and thermal infrared (TIR) can provide an alternative method for monitoring global OH concentrations. The premise is that the atmospheric signature of the methane sink from oxidation by OH is distinct from that of methane emissions. We evaluate this method in an observing system simulation experiment (OSSE) framework using synthetic SWIR and TIR satellite observations representative of the TROPOMI and CrIS instruments, respectively. The synthetic observations are interpreted with a Bayesian inverse analysis, optimizing both gridded methane emissions and global OH concentrations. The optimization is done analytically to provide complete error accounting, including error correlations between posterior emissions and OH concentrations. The potential bias caused by prior errors in the 3-D seasonal OH distribution is examined using OH fields from 12 different models in the ACCMIP archive. We find that the satellite observations of methane have the potential to constrain the global tropospheric OH concentration with a precision better than 1 % and an accuracy of about 3 % for SWIR and 7 % for TIR. The inversion can successfully separate the effects of perturbations to methane emissions and to OH concentrations. Interhemispheric differences in OH concentrations can also be successfully retrieved. Error estimates may be overoptimistic because we assume in this OSSE that errors are strictly random and have no systematic component. The availability of TROPOMI and CrIS data will soon provide an opportunity to test the method with actual observations.</p< Physics Chemistry Y. Zhang verfasserin aut D. J. Jacob verfasserin aut J. D. Maasakkers verfasserin aut M. P. Sulprizio verfasserin aut J.-X. Sheng verfasserin aut R. Gautam verfasserin aut J. Worden verfasserin aut In Atmospheric Chemistry and Physics Copernicus Publications, 2003 18(2018), Seite 15959-15973 (DE-627)092499996 16807324 nnns volume:18 year:2018 pages:15959-15973 https://doi.org/10.5194/acp-18-15959-2018 kostenfrei https://doaj.org/article/77510e7888e44add9d3768a1e13373a3 kostenfrei https://www.atmos-chem-phys.net/18/15959/2018/acp-18-15959-2018.pdf kostenfrei https://doaj.org/toc/1680-7316 Journal toc kostenfrei https://doaj.org/toc/1680-7324 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_381 AR 18 2018 15959-15973 |
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10.5194/acp-18-15959-2018 doi (DE-627)DOAJ076405303 (DE-599)DOAJ77510e7888e44add9d3768a1e13373a3 DE-627 ger DE-627 rakwb eng QC1-999 QD1-999 Y. Zhang verfasserin aut Monitoring global tropospheric OH concentrations using satellite observations of atmospheric methane 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<The hydroxyl radical (OH) is the main tropospheric oxidant and the main sink for atmospheric methane. The global abundance of OH has been monitored for the past decades using atmospheric methyl chloroform (CH<sub<3</sub<CCl<sub<3</sub<) as a proxy. This method is becoming ineffective as atmospheric CH<sub<3</sub<CCl<sub<3</sub< concentrations decline. Here we propose that satellite observations of atmospheric methane in the short-wave infrared (SWIR) and thermal infrared (TIR) can provide an alternative method for monitoring global OH concentrations. The premise is that the atmospheric signature of the methane sink from oxidation by OH is distinct from that of methane emissions. We evaluate this method in an observing system simulation experiment (OSSE) framework using synthetic SWIR and TIR satellite observations representative of the TROPOMI and CrIS instruments, respectively. The synthetic observations are interpreted with a Bayesian inverse analysis, optimizing both gridded methane emissions and global OH concentrations. The optimization is done analytically to provide complete error accounting, including error correlations between posterior emissions and OH concentrations. The potential bias caused by prior errors in the 3-D seasonal OH distribution is examined using OH fields from 12 different models in the ACCMIP archive. We find that the satellite observations of methane have the potential to constrain the global tropospheric OH concentration with a precision better than 1 % and an accuracy of about 3 % for SWIR and 7 % for TIR. The inversion can successfully separate the effects of perturbations to methane emissions and to OH concentrations. Interhemispheric differences in OH concentrations can also be successfully retrieved. Error estimates may be overoptimistic because we assume in this OSSE that errors are strictly random and have no systematic component. The availability of TROPOMI and CrIS data will soon provide an opportunity to test the method with actual observations.</p< Physics Chemistry Y. Zhang verfasserin aut D. J. Jacob verfasserin aut J. D. Maasakkers verfasserin aut M. P. Sulprizio verfasserin aut J.-X. Sheng verfasserin aut R. Gautam verfasserin aut J. Worden verfasserin aut In Atmospheric Chemistry and Physics Copernicus Publications, 2003 18(2018), Seite 15959-15973 (DE-627)092499996 16807324 nnns volume:18 year:2018 pages:15959-15973 https://doi.org/10.5194/acp-18-15959-2018 kostenfrei https://doaj.org/article/77510e7888e44add9d3768a1e13373a3 kostenfrei https://www.atmos-chem-phys.net/18/15959/2018/acp-18-15959-2018.pdf kostenfrei https://doaj.org/toc/1680-7316 Journal toc kostenfrei https://doaj.org/toc/1680-7324 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_381 AR 18 2018 15959-15973 |
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10.5194/acp-18-15959-2018 doi (DE-627)DOAJ076405303 (DE-599)DOAJ77510e7888e44add9d3768a1e13373a3 DE-627 ger DE-627 rakwb eng QC1-999 QD1-999 Y. Zhang verfasserin aut Monitoring global tropospheric OH concentrations using satellite observations of atmospheric methane 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier <p<The hydroxyl radical (OH) is the main tropospheric oxidant and the main sink for atmospheric methane. The global abundance of OH has been monitored for the past decades using atmospheric methyl chloroform (CH<sub<3</sub<CCl<sub<3</sub<) as a proxy. This method is becoming ineffective as atmospheric CH<sub<3</sub<CCl<sub<3</sub< concentrations decline. Here we propose that satellite observations of atmospheric methane in the short-wave infrared (SWIR) and thermal infrared (TIR) can provide an alternative method for monitoring global OH concentrations. The premise is that the atmospheric signature of the methane sink from oxidation by OH is distinct from that of methane emissions. We evaluate this method in an observing system simulation experiment (OSSE) framework using synthetic SWIR and TIR satellite observations representative of the TROPOMI and CrIS instruments, respectively. The synthetic observations are interpreted with a Bayesian inverse analysis, optimizing both gridded methane emissions and global OH concentrations. The optimization is done analytically to provide complete error accounting, including error correlations between posterior emissions and OH concentrations. The potential bias caused by prior errors in the 3-D seasonal OH distribution is examined using OH fields from 12 different models in the ACCMIP archive. We find that the satellite observations of methane have the potential to constrain the global tropospheric OH concentration with a precision better than 1 % and an accuracy of about 3 % for SWIR and 7 % for TIR. The inversion can successfully separate the effects of perturbations to methane emissions and to OH concentrations. Interhemispheric differences in OH concentrations can also be successfully retrieved. Error estimates may be overoptimistic because we assume in this OSSE that errors are strictly random and have no systematic component. The availability of TROPOMI and CrIS data will soon provide an opportunity to test the method with actual observations.</p< Physics Chemistry Y. Zhang verfasserin aut D. J. Jacob verfasserin aut J. D. Maasakkers verfasserin aut M. P. Sulprizio verfasserin aut J.-X. Sheng verfasserin aut R. Gautam verfasserin aut J. Worden verfasserin aut In Atmospheric Chemistry and Physics Copernicus Publications, 2003 18(2018), Seite 15959-15973 (DE-627)092499996 16807324 nnns volume:18 year:2018 pages:15959-15973 https://doi.org/10.5194/acp-18-15959-2018 kostenfrei https://doaj.org/article/77510e7888e44add9d3768a1e13373a3 kostenfrei https://www.atmos-chem-phys.net/18/15959/2018/acp-18-15959-2018.pdf kostenfrei https://doaj.org/toc/1680-7316 Journal toc kostenfrei https://doaj.org/toc/1680-7324 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_381 AR 18 2018 15959-15973 |
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monitoring global tropospheric oh concentrations using satellite observations of atmospheric methane |
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Monitoring global tropospheric OH concentrations using satellite observations of atmospheric methane |
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<p<The hydroxyl radical (OH) is the main tropospheric oxidant and the main sink for atmospheric methane. The global abundance of OH has been monitored for the past decades using atmospheric methyl chloroform (CH<sub<3</sub<CCl<sub<3</sub<) as a proxy. This method is becoming ineffective as atmospheric CH<sub<3</sub<CCl<sub<3</sub< concentrations decline. Here we propose that satellite observations of atmospheric methane in the short-wave infrared (SWIR) and thermal infrared (TIR) can provide an alternative method for monitoring global OH concentrations. The premise is that the atmospheric signature of the methane sink from oxidation by OH is distinct from that of methane emissions. We evaluate this method in an observing system simulation experiment (OSSE) framework using synthetic SWIR and TIR satellite observations representative of the TROPOMI and CrIS instruments, respectively. The synthetic observations are interpreted with a Bayesian inverse analysis, optimizing both gridded methane emissions and global OH concentrations. The optimization is done analytically to provide complete error accounting, including error correlations between posterior emissions and OH concentrations. The potential bias caused by prior errors in the 3-D seasonal OH distribution is examined using OH fields from 12 different models in the ACCMIP archive. We find that the satellite observations of methane have the potential to constrain the global tropospheric OH concentration with a precision better than 1 % and an accuracy of about 3 % for SWIR and 7 % for TIR. The inversion can successfully separate the effects of perturbations to methane emissions and to OH concentrations. Interhemispheric differences in OH concentrations can also be successfully retrieved. Error estimates may be overoptimistic because we assume in this OSSE that errors are strictly random and have no systematic component. The availability of TROPOMI and CrIS data will soon provide an opportunity to test the method with actual observations.</p< |
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<p<The hydroxyl radical (OH) is the main tropospheric oxidant and the main sink for atmospheric methane. The global abundance of OH has been monitored for the past decades using atmospheric methyl chloroform (CH<sub<3</sub<CCl<sub<3</sub<) as a proxy. This method is becoming ineffective as atmospheric CH<sub<3</sub<CCl<sub<3</sub< concentrations decline. Here we propose that satellite observations of atmospheric methane in the short-wave infrared (SWIR) and thermal infrared (TIR) can provide an alternative method for monitoring global OH concentrations. The premise is that the atmospheric signature of the methane sink from oxidation by OH is distinct from that of methane emissions. We evaluate this method in an observing system simulation experiment (OSSE) framework using synthetic SWIR and TIR satellite observations representative of the TROPOMI and CrIS instruments, respectively. The synthetic observations are interpreted with a Bayesian inverse analysis, optimizing both gridded methane emissions and global OH concentrations. The optimization is done analytically to provide complete error accounting, including error correlations between posterior emissions and OH concentrations. The potential bias caused by prior errors in the 3-D seasonal OH distribution is examined using OH fields from 12 different models in the ACCMIP archive. We find that the satellite observations of methane have the potential to constrain the global tropospheric OH concentration with a precision better than 1 % and an accuracy of about 3 % for SWIR and 7 % for TIR. The inversion can successfully separate the effects of perturbations to methane emissions and to OH concentrations. Interhemispheric differences in OH concentrations can also be successfully retrieved. Error estimates may be overoptimistic because we assume in this OSSE that errors are strictly random and have no systematic component. The availability of TROPOMI and CrIS data will soon provide an opportunity to test the method with actual observations.</p< |
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<p<The hydroxyl radical (OH) is the main tropospheric oxidant and the main sink for atmospheric methane. The global abundance of OH has been monitored for the past decades using atmospheric methyl chloroform (CH<sub<3</sub<CCl<sub<3</sub<) as a proxy. This method is becoming ineffective as atmospheric CH<sub<3</sub<CCl<sub<3</sub< concentrations decline. Here we propose that satellite observations of atmospheric methane in the short-wave infrared (SWIR) and thermal infrared (TIR) can provide an alternative method for monitoring global OH concentrations. The premise is that the atmospheric signature of the methane sink from oxidation by OH is distinct from that of methane emissions. We evaluate this method in an observing system simulation experiment (OSSE) framework using synthetic SWIR and TIR satellite observations representative of the TROPOMI and CrIS instruments, respectively. The synthetic observations are interpreted with a Bayesian inverse analysis, optimizing both gridded methane emissions and global OH concentrations. The optimization is done analytically to provide complete error accounting, including error correlations between posterior emissions and OH concentrations. The potential bias caused by prior errors in the 3-D seasonal OH distribution is examined using OH fields from 12 different models in the ACCMIP archive. We find that the satellite observations of methane have the potential to constrain the global tropospheric OH concentration with a precision better than 1 % and an accuracy of about 3 % for SWIR and 7 % for TIR. The inversion can successfully separate the effects of perturbations to methane emissions and to OH concentrations. Interhemispheric differences in OH concentrations can also be successfully retrieved. Error estimates may be overoptimistic because we assume in this OSSE that errors are strictly random and have no systematic component. The availability of TROPOMI and CrIS data will soon provide an opportunity to test the method with actual observations.</p< |
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