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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Published in:Geophysical Research Letters
Main Authors: Zhang, Rudong, Wang, Hailong, Fu, Qiang, Rasch, Philip J.
Language:unknown
Published: 2020
Subjects:
Online Access:http://www.osti.gov/servlets/purl/1646602
https://www.osti.gov/biblio/1646602
https://doi.org/10.1029/2020gl088063
id ftosti:oai:osti.gov:1646602
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spelling ftosti:oai:osti.gov:1646602 2023-07-30T03:55:39+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. 2020-08-25 application/pdf http://www.osti.gov/servlets/purl/1646602 https://www.osti.gov/biblio/1646602 https://doi.org/10.1029/2020gl088063 unknown http://www.osti.gov/servlets/purl/1646602 https://www.osti.gov/biblio/1646602 https://doi.org/10.1029/2020gl088063 doi:10.1029/2020gl088063 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
institution Open Polar
collection SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy)
op_collection_id ftosti
language unknown
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.
spellingShingle Zhang, Rudong
Wang, Hailong
Fu, Qiang
Rasch, Philip J.
Assessing Global and Local Radiative Feedbacks Based on AGCM Simulations for 1980–2014/2017
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/1646602
https://www.osti.gov/biblio/1646602
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/1646602
https://www.osti.gov/biblio/1646602
https://doi.org/10.1029/2020gl088063
doi:10.1029/2020gl088063
op_doi https://doi.org/10.1029/2020gl088063
container_title Geophysical Research Letters
container_volume 47
container_issue 12
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