Inhomogeneous radiative forcing of homogeneous greenhouse gases
Radiative forcing of a homogeneous greenhouse gas (HGG) can be very inhomogeneous because the forcing is dependent on other atmospheric and surface variables. In the case of doubling CO 2 , the monthly mean instantaneous forcing at the top of the atmosphere is found to vary geographically and tempor...
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| Autor*in: |
Huang, Yi [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Rechteinformationen: |
Nutzungsrecht: © 2016. American Geophysical Union. All Rights Reserved. |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Journal of geophysical research / D - Washington, DC : Union, 1984, 121(2016), 6, Seite 2780-2789 |
|---|---|
| Übergeordnetes Werk: |
volume:121 ; year:2016 ; number:6 ; pages:2780-2789 |
| Links: |
|---|
| DOI / URN: |
10.1002/2015JD024569 |
|---|
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OLC1973074613 |
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| 520 | |a Radiative forcing of a homogeneous greenhouse gas (HGG) can be very inhomogeneous because the forcing is dependent on other atmospheric and surface variables. In the case of doubling CO 2 , the monthly mean instantaneous forcing at the top of the atmosphere is found to vary geographically and temporally from positive to negative values, with the range (−2.5–5.1 W m −2 ) being more than 3 times the magnitude of the global mean value (2.3 W m −2 ). The vertical temperature change across the atmospheric column (temperature lapse rate) is found to be the best single predictor for explaining forcing variation. In addition, the masking effects of clouds and water vapor also contribute to forcing inhomogeneity. A regression model that predicts forcing from geophysical variables is constructed. This model can explain more than 90% of the variance of the forcing. Applying this model to analyzing the forcing variation in the Climate Model Intercomparison Project Phase 5 models, we find that intermodel discrepancy in CO 2 forcing caused by model climatology leads to considerable discrepancy in their projected change in poleward energy transport. HGG forcing is dependent on model climatology Forcing variation is most explained by temperature lapse rate Forcing distribution uncertainty leads to considerable circulation projection uncertainty | ||
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| 650 | 4 | |a climate model | |
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10.1002/2015JD024569 doi PQ20160430 (DE-627)OLC1973074613 (DE-599)GBVOLC1973074613 (PRQ)p723-1d651fef646b825a5b5fe39800cac566c3c7448f3c49c9aacb577020beb6dc9f0 (KEY)0137985220160000121000602780inhomogeneousradiativeforcingofhomogeneousgreenhou DE-627 ger DE-627 rakwb eng 550 DNB Huang, Yi verfasserin aut Inhomogeneous radiative forcing of homogeneous greenhouse gases 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Radiative forcing of a homogeneous greenhouse gas (HGG) can be very inhomogeneous because the forcing is dependent on other atmospheric and surface variables. In the case of doubling CO 2 , the monthly mean instantaneous forcing at the top of the atmosphere is found to vary geographically and temporally from positive to negative values, with the range (−2.5–5.1 W m −2 ) being more than 3 times the magnitude of the global mean value (2.3 W m −2 ). The vertical temperature change across the atmospheric column (temperature lapse rate) is found to be the best single predictor for explaining forcing variation. In addition, the masking effects of clouds and water vapor also contribute to forcing inhomogeneity. A regression model that predicts forcing from geophysical variables is constructed. This model can explain more than 90% of the variance of the forcing. Applying this model to analyzing the forcing variation in the Climate Model Intercomparison Project Phase 5 models, we find that intermodel discrepancy in CO 2 forcing caused by model climatology leads to considerable discrepancy in their projected change in poleward energy transport. HGG forcing is dependent on model climatology Forcing variation is most explained by temperature lapse rate Forcing distribution uncertainty leads to considerable circulation projection uncertainty Nutzungsrecht: © 2016. American Geophysical Union. All Rights Reserved. climate model radiative forcing greenhouse gas cloud radiative forcing energy transport carbon dioxide Gases Climate Tan, Xiaoxiao oth Xia, Yan oth Enthalten in Journal of geophysical research / D Washington, DC : Union, 1984 121(2016), 6, Seite 2780-2789 (DE-627)130444391 (DE-600)710256-2 (DE-576)015978818 2169-897X nnns volume:121 year:2016 number:6 pages:2780-2789 http://dx.doi.org/10.1002/2015JD024569 Volltext http://onlinelibrary.wiley.com/doi/10.1002/2015JD024569/abstract http://search.proquest.com/docview/1782284052 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_62 GBV_ILN_154 AR 121 2016 6 2780-2789 |
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10.1002/2015JD024569 doi PQ20160430 (DE-627)OLC1973074613 (DE-599)GBVOLC1973074613 (PRQ)p723-1d651fef646b825a5b5fe39800cac566c3c7448f3c49c9aacb577020beb6dc9f0 (KEY)0137985220160000121000602780inhomogeneousradiativeforcingofhomogeneousgreenhou DE-627 ger DE-627 rakwb eng 550 DNB Huang, Yi verfasserin aut Inhomogeneous radiative forcing of homogeneous greenhouse gases 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Radiative forcing of a homogeneous greenhouse gas (HGG) can be very inhomogeneous because the forcing is dependent on other atmospheric and surface variables. In the case of doubling CO 2 , the monthly mean instantaneous forcing at the top of the atmosphere is found to vary geographically and temporally from positive to negative values, with the range (−2.5–5.1 W m −2 ) being more than 3 times the magnitude of the global mean value (2.3 W m −2 ). The vertical temperature change across the atmospheric column (temperature lapse rate) is found to be the best single predictor for explaining forcing variation. In addition, the masking effects of clouds and water vapor also contribute to forcing inhomogeneity. A regression model that predicts forcing from geophysical variables is constructed. This model can explain more than 90% of the variance of the forcing. Applying this model to analyzing the forcing variation in the Climate Model Intercomparison Project Phase 5 models, we find that intermodel discrepancy in CO 2 forcing caused by model climatology leads to considerable discrepancy in their projected change in poleward energy transport. HGG forcing is dependent on model climatology Forcing variation is most explained by temperature lapse rate Forcing distribution uncertainty leads to considerable circulation projection uncertainty Nutzungsrecht: © 2016. American Geophysical Union. All Rights Reserved. climate model radiative forcing greenhouse gas cloud radiative forcing energy transport carbon dioxide Gases Climate Tan, Xiaoxiao oth Xia, Yan oth Enthalten in Journal of geophysical research / D Washington, DC : Union, 1984 121(2016), 6, Seite 2780-2789 (DE-627)130444391 (DE-600)710256-2 (DE-576)015978818 2169-897X nnns volume:121 year:2016 number:6 pages:2780-2789 http://dx.doi.org/10.1002/2015JD024569 Volltext http://onlinelibrary.wiley.com/doi/10.1002/2015JD024569/abstract http://search.proquest.com/docview/1782284052 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_62 GBV_ILN_154 AR 121 2016 6 2780-2789 |
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10.1002/2015JD024569 doi PQ20160430 (DE-627)OLC1973074613 (DE-599)GBVOLC1973074613 (PRQ)p723-1d651fef646b825a5b5fe39800cac566c3c7448f3c49c9aacb577020beb6dc9f0 (KEY)0137985220160000121000602780inhomogeneousradiativeforcingofhomogeneousgreenhou DE-627 ger DE-627 rakwb eng 550 DNB Huang, Yi verfasserin aut Inhomogeneous radiative forcing of homogeneous greenhouse gases 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Radiative forcing of a homogeneous greenhouse gas (HGG) can be very inhomogeneous because the forcing is dependent on other atmospheric and surface variables. In the case of doubling CO 2 , the monthly mean instantaneous forcing at the top of the atmosphere is found to vary geographically and temporally from positive to negative values, with the range (−2.5–5.1 W m −2 ) being more than 3 times the magnitude of the global mean value (2.3 W m −2 ). The vertical temperature change across the atmospheric column (temperature lapse rate) is found to be the best single predictor for explaining forcing variation. In addition, the masking effects of clouds and water vapor also contribute to forcing inhomogeneity. A regression model that predicts forcing from geophysical variables is constructed. This model can explain more than 90% of the variance of the forcing. Applying this model to analyzing the forcing variation in the Climate Model Intercomparison Project Phase 5 models, we find that intermodel discrepancy in CO 2 forcing caused by model climatology leads to considerable discrepancy in their projected change in poleward energy transport. HGG forcing is dependent on model climatology Forcing variation is most explained by temperature lapse rate Forcing distribution uncertainty leads to considerable circulation projection uncertainty Nutzungsrecht: © 2016. American Geophysical Union. All Rights Reserved. climate model radiative forcing greenhouse gas cloud radiative forcing energy transport carbon dioxide Gases Climate Tan, Xiaoxiao oth Xia, Yan oth Enthalten in Journal of geophysical research / D Washington, DC : Union, 1984 121(2016), 6, Seite 2780-2789 (DE-627)130444391 (DE-600)710256-2 (DE-576)015978818 2169-897X nnns volume:121 year:2016 number:6 pages:2780-2789 http://dx.doi.org/10.1002/2015JD024569 Volltext http://onlinelibrary.wiley.com/doi/10.1002/2015JD024569/abstract http://search.proquest.com/docview/1782284052 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_62 GBV_ILN_154 AR 121 2016 6 2780-2789 |
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10.1002/2015JD024569 doi PQ20160430 (DE-627)OLC1973074613 (DE-599)GBVOLC1973074613 (PRQ)p723-1d651fef646b825a5b5fe39800cac566c3c7448f3c49c9aacb577020beb6dc9f0 (KEY)0137985220160000121000602780inhomogeneousradiativeforcingofhomogeneousgreenhou DE-627 ger DE-627 rakwb eng 550 DNB Huang, Yi verfasserin aut Inhomogeneous radiative forcing of homogeneous greenhouse gases 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Radiative forcing of a homogeneous greenhouse gas (HGG) can be very inhomogeneous because the forcing is dependent on other atmospheric and surface variables. In the case of doubling CO 2 , the monthly mean instantaneous forcing at the top of the atmosphere is found to vary geographically and temporally from positive to negative values, with the range (−2.5–5.1 W m −2 ) being more than 3 times the magnitude of the global mean value (2.3 W m −2 ). The vertical temperature change across the atmospheric column (temperature lapse rate) is found to be the best single predictor for explaining forcing variation. In addition, the masking effects of clouds and water vapor also contribute to forcing inhomogeneity. A regression model that predicts forcing from geophysical variables is constructed. This model can explain more than 90% of the variance of the forcing. Applying this model to analyzing the forcing variation in the Climate Model Intercomparison Project Phase 5 models, we find that intermodel discrepancy in CO 2 forcing caused by model climatology leads to considerable discrepancy in their projected change in poleward energy transport. HGG forcing is dependent on model climatology Forcing variation is most explained by temperature lapse rate Forcing distribution uncertainty leads to considerable circulation projection uncertainty Nutzungsrecht: © 2016. American Geophysical Union. All Rights Reserved. climate model radiative forcing greenhouse gas cloud radiative forcing energy transport carbon dioxide Gases Climate Tan, Xiaoxiao oth Xia, Yan oth Enthalten in Journal of geophysical research / D Washington, DC : Union, 1984 121(2016), 6, Seite 2780-2789 (DE-627)130444391 (DE-600)710256-2 (DE-576)015978818 2169-897X nnns volume:121 year:2016 number:6 pages:2780-2789 http://dx.doi.org/10.1002/2015JD024569 Volltext http://onlinelibrary.wiley.com/doi/10.1002/2015JD024569/abstract http://search.proquest.com/docview/1782284052 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_62 GBV_ILN_154 AR 121 2016 6 2780-2789 |
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10.1002/2015JD024569 doi PQ20160430 (DE-627)OLC1973074613 (DE-599)GBVOLC1973074613 (PRQ)p723-1d651fef646b825a5b5fe39800cac566c3c7448f3c49c9aacb577020beb6dc9f0 (KEY)0137985220160000121000602780inhomogeneousradiativeforcingofhomogeneousgreenhou DE-627 ger DE-627 rakwb eng 550 DNB Huang, Yi verfasserin aut Inhomogeneous radiative forcing of homogeneous greenhouse gases 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Radiative forcing of a homogeneous greenhouse gas (HGG) can be very inhomogeneous because the forcing is dependent on other atmospheric and surface variables. In the case of doubling CO 2 , the monthly mean instantaneous forcing at the top of the atmosphere is found to vary geographically and temporally from positive to negative values, with the range (−2.5–5.1 W m −2 ) being more than 3 times the magnitude of the global mean value (2.3 W m −2 ). The vertical temperature change across the atmospheric column (temperature lapse rate) is found to be the best single predictor for explaining forcing variation. In addition, the masking effects of clouds and water vapor also contribute to forcing inhomogeneity. A regression model that predicts forcing from geophysical variables is constructed. This model can explain more than 90% of the variance of the forcing. Applying this model to analyzing the forcing variation in the Climate Model Intercomparison Project Phase 5 models, we find that intermodel discrepancy in CO 2 forcing caused by model climatology leads to considerable discrepancy in their projected change in poleward energy transport. HGG forcing is dependent on model climatology Forcing variation is most explained by temperature lapse rate Forcing distribution uncertainty leads to considerable circulation projection uncertainty Nutzungsrecht: © 2016. American Geophysical Union. All Rights Reserved. climate model radiative forcing greenhouse gas cloud radiative forcing energy transport carbon dioxide Gases Climate Tan, Xiaoxiao oth Xia, Yan oth Enthalten in Journal of geophysical research / D Washington, DC : Union, 1984 121(2016), 6, Seite 2780-2789 (DE-627)130444391 (DE-600)710256-2 (DE-576)015978818 2169-897X nnns volume:121 year:2016 number:6 pages:2780-2789 http://dx.doi.org/10.1002/2015JD024569 Volltext http://onlinelibrary.wiley.com/doi/10.1002/2015JD024569/abstract http://search.proquest.com/docview/1782284052 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-PHY SSG-OLC-GEO SSG-OPC-GGO SSG-OPC-GEO GBV_ILN_62 GBV_ILN_154 AR 121 2016 6 2780-2789 |
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Inhomogeneous radiative forcing of homogeneous greenhouse gases |
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Inhomogeneous radiative forcing of homogeneous greenhouse gases |
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Huang, Yi |
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inhomogeneous radiative forcing of homogeneous greenhouse gases |
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Inhomogeneous radiative forcing of homogeneous greenhouse gases |
| abstract |
Radiative forcing of a homogeneous greenhouse gas (HGG) can be very inhomogeneous because the forcing is dependent on other atmospheric and surface variables. In the case of doubling CO 2 , the monthly mean instantaneous forcing at the top of the atmosphere is found to vary geographically and temporally from positive to negative values, with the range (−2.5–5.1 W m −2 ) being more than 3 times the magnitude of the global mean value (2.3 W m −2 ). The vertical temperature change across the atmospheric column (temperature lapse rate) is found to be the best single predictor for explaining forcing variation. In addition, the masking effects of clouds and water vapor also contribute to forcing inhomogeneity. A regression model that predicts forcing from geophysical variables is constructed. This model can explain more than 90% of the variance of the forcing. Applying this model to analyzing the forcing variation in the Climate Model Intercomparison Project Phase 5 models, we find that intermodel discrepancy in CO 2 forcing caused by model climatology leads to considerable discrepancy in their projected change in poleward energy transport. HGG forcing is dependent on model climatology Forcing variation is most explained by temperature lapse rate Forcing distribution uncertainty leads to considerable circulation projection uncertainty |
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Radiative forcing of a homogeneous greenhouse gas (HGG) can be very inhomogeneous because the forcing is dependent on other atmospheric and surface variables. In the case of doubling CO 2 , the monthly mean instantaneous forcing at the top of the atmosphere is found to vary geographically and temporally from positive to negative values, with the range (−2.5–5.1 W m −2 ) being more than 3 times the magnitude of the global mean value (2.3 W m −2 ). The vertical temperature change across the atmospheric column (temperature lapse rate) is found to be the best single predictor for explaining forcing variation. In addition, the masking effects of clouds and water vapor also contribute to forcing inhomogeneity. A regression model that predicts forcing from geophysical variables is constructed. This model can explain more than 90% of the variance of the forcing. Applying this model to analyzing the forcing variation in the Climate Model Intercomparison Project Phase 5 models, we find that intermodel discrepancy in CO 2 forcing caused by model climatology leads to considerable discrepancy in their projected change in poleward energy transport. HGG forcing is dependent on model climatology Forcing variation is most explained by temperature lapse rate Forcing distribution uncertainty leads to considerable circulation projection uncertainty |
| abstract_unstemmed |
Radiative forcing of a homogeneous greenhouse gas (HGG) can be very inhomogeneous because the forcing is dependent on other atmospheric and surface variables. In the case of doubling CO 2 , the monthly mean instantaneous forcing at the top of the atmosphere is found to vary geographically and temporally from positive to negative values, with the range (−2.5–5.1 W m −2 ) being more than 3 times the magnitude of the global mean value (2.3 W m −2 ). The vertical temperature change across the atmospheric column (temperature lapse rate) is found to be the best single predictor for explaining forcing variation. In addition, the masking effects of clouds and water vapor also contribute to forcing inhomogeneity. A regression model that predicts forcing from geophysical variables is constructed. This model can explain more than 90% of the variance of the forcing. Applying this model to analyzing the forcing variation in the Climate Model Intercomparison Project Phase 5 models, we find that intermodel discrepancy in CO 2 forcing caused by model climatology leads to considerable discrepancy in their projected change in poleward energy transport. HGG forcing is dependent on model climatology Forcing variation is most explained by temperature lapse rate Forcing distribution uncertainty leads to considerable circulation projection uncertainty |
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Inhomogeneous radiative forcing of homogeneous greenhouse gases |
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http://dx.doi.org/10.1002/2015JD024569 http://onlinelibrary.wiley.com/doi/10.1002/2015JD024569/abstract http://search.proquest.com/docview/1782284052 |
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