Assessing Global and Local Radiative Feedbacks Based on AGCM Simulations for 1980–2014/2017
In order to avoid contamination of unobservable and uncertain effective radiative forcing (ERF) on the diagnosis of radiative feedbacks based on short-term climate variability, we verify the Kernel-Gregory feedback calculation method using atmospheric model experiments with prescribed ERF. We show t...
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Online Access: | http://www.osti.gov/servlets/purl/1646601 https://www.osti.gov/biblio/1646601 https://doi.org/10.1029/2020gl088063 |
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ftosti:oai:osti.gov:1646601 2023-07-30T03:55:40+02:00 Assessing Global and Local Radiative Feedbacks Based on AGCM Simulations for 1980–2014/2017 Zhang, Rudong Wang, Hailong Fu, Qiang Rasch, Philip J. 2020-12-22 application/pdf http://www.osti.gov/servlets/purl/1646601 https://www.osti.gov/biblio/1646601 https://doi.org/10.1029/2020gl088063 unknown http://www.osti.gov/servlets/purl/1646601 https://www.osti.gov/biblio/1646601 https://doi.org/10.1029/2020gl088063 doi:10.1029/2020gl088063 54 ENVIRONMENTAL SCIENCES 2020 ftosti https://doi.org/10.1029/2020gl088063 2023-07-11T09:44:58Z In order to avoid contamination of unobservable and uncertain effective radiative forcing (ERF) on the diagnosis of radiative feedbacks based on short-term climate variability, we verify the Kernel-Gregory feedback calculation method using atmospheric model experiments with prescribed ERF. We show that both clear-sky radiative fluxes and all-sky radiative feedbacks have a closure between model simulations and kernel derivations. A near-zero global mean net cloud feedback is found in the simulation with prescribed ERF, which results in a more negative global net climate feedback, -2 W m -2 K -1 . Consistent with AMIP6 ensemble mean results, the lapse rate feedback is the largest contributor among all feedbacks to temperature amplification over the three poles (Arctic, Antarctic and Tibetan Plateau), followed by surface albedo feedback and Planck feedback deviation from its global mean. Except for the higher surface albedo feedback in the Antarctic, other feedbacks are almost same between the Arctic and Antarctic. Other/Unknown Material albedo Antarc* Antarctic Arctic SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Arctic Antarctic The Antarctic Geophysical Research Letters 47 12 |
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Open Polar |
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SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) |
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ftosti |
language |
unknown |
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54 ENVIRONMENTAL SCIENCES |
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54 ENVIRONMENTAL SCIENCES Zhang, Rudong Wang, Hailong Fu, Qiang Rasch, Philip J. Assessing Global and Local Radiative Feedbacks Based on AGCM Simulations for 1980–2014/2017 |
topic_facet |
54 ENVIRONMENTAL SCIENCES |
description |
In order to avoid contamination of unobservable and uncertain effective radiative forcing (ERF) on the diagnosis of radiative feedbacks based on short-term climate variability, we verify the Kernel-Gregory feedback calculation method using atmospheric model experiments with prescribed ERF. We show that both clear-sky radiative fluxes and all-sky radiative feedbacks have a closure between model simulations and kernel derivations. A near-zero global mean net cloud feedback is found in the simulation with prescribed ERF, which results in a more negative global net climate feedback, -2 W m -2 K -1 . Consistent with AMIP6 ensemble mean results, the lapse rate feedback is the largest contributor among all feedbacks to temperature amplification over the three poles (Arctic, Antarctic and Tibetan Plateau), followed by surface albedo feedback and Planck feedback deviation from its global mean. Except for the higher surface albedo feedback in the Antarctic, other feedbacks are almost same between the Arctic and Antarctic. |
author |
Zhang, Rudong Wang, Hailong Fu, Qiang Rasch, Philip J. |
author_facet |
Zhang, Rudong Wang, Hailong Fu, Qiang Rasch, Philip J. |
author_sort |
Zhang, Rudong |
title |
Assessing Global and Local Radiative Feedbacks Based on AGCM Simulations for 1980–2014/2017 |
title_short |
Assessing Global and Local Radiative Feedbacks Based on AGCM Simulations for 1980–2014/2017 |
title_full |
Assessing Global and Local Radiative Feedbacks Based on AGCM Simulations for 1980–2014/2017 |
title_fullStr |
Assessing Global and Local Radiative Feedbacks Based on AGCM Simulations for 1980–2014/2017 |
title_full_unstemmed |
Assessing Global and Local Radiative Feedbacks Based on AGCM Simulations for 1980–2014/2017 |
title_sort |
assessing global and local radiative feedbacks based on agcm simulations for 1980–2014/2017 |
publishDate |
2020 |
url |
http://www.osti.gov/servlets/purl/1646601 https://www.osti.gov/biblio/1646601 https://doi.org/10.1029/2020gl088063 |
geographic |
Arctic Antarctic The Antarctic |
geographic_facet |
Arctic Antarctic The Antarctic |
genre |
albedo Antarc* Antarctic Arctic |
genre_facet |
albedo Antarc* Antarctic Arctic |
op_relation |
http://www.osti.gov/servlets/purl/1646601 https://www.osti.gov/biblio/1646601 https://doi.org/10.1029/2020gl088063 doi:10.1029/2020gl088063 |
op_doi |
https://doi.org/10.1029/2020gl088063 |
container_title |
Geophysical Research Letters |
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47 |
container_issue |
12 |
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1772821128472952832 |