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Title: Assessing Global and Local Radiative Feedbacks Based on AGCM Simulations for 1980–2014/2017

Abstract

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.

Authors:
 [1]; ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [1]
  1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  2. Univ. of Washington, Seattle, WA (United States)
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1646601
Alternate Identifier(s):
OSTI ID: 1646602
Report Number(s):
PNNL-SA-150269
Journal ID: ISSN 0094-8276;1944-8007
Grant/Contract Number:  
AC05-76RL01830
Resource Type:
Accepted Manuscript
Journal Name:
Geophysical Research Letters
Additional Journal Information:
Journal Volume: 47; Journal Issue: 12; Journal ID: ISSN 0094-8276
Publisher:
American Geophysical Union
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Zhang, Rudong, Wang, Hailong, Fu, Qiang, and Rasch, Philip J. Assessing Global and Local Radiative Feedbacks Based on AGCM Simulations for 1980–2014/2017. United States: N. p., 2020. Web. https://doi.org/10.1029/2020gl088063.
Zhang, Rudong, Wang, Hailong, Fu, Qiang, & Rasch, Philip J. Assessing Global and Local Radiative Feedbacks Based on AGCM Simulations for 1980–2014/2017. United States. https://doi.org/10.1029/2020gl088063
Zhang, Rudong, Wang, Hailong, Fu, Qiang, and Rasch, Philip J. Tue . "Assessing Global and Local Radiative Feedbacks Based on AGCM Simulations for 1980–2014/2017". United States. https://doi.org/10.1029/2020gl088063. https://www.osti.gov/servlets/purl/1646601.
@article{osti_1646601,
title = {Assessing Global and Local Radiative Feedbacks Based on AGCM Simulations for 1980–2014/2017},
author = {Zhang, Rudong and Wang, Hailong and Fu, Qiang and Rasch, Philip J.},
abstractNote = {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.},
doi = {10.1029/2020gl088063},
journal = {Geophysical Research Letters},
number = 12,
volume = 47,
place = {United States},
year = {2020},
month = {6}
}

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