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Assessing Global and Local Radiative Feedbacks Based on AGCM Simulations for 1980–2014/2017
Author(s) -
Zhang Rudong,
Wang Hailong,
Fu Qiang,
Rasch Philip J.
Publication year - 2020
Publication title -
geophysical research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.007
H-Index - 273
eISSN - 1944-8007
pISSN - 0094-8276
DOI - 10.1029/2020gl088063
Subject(s) - albedo (alchemy) , cloud feedback , climatology , environmental science , radiative forcing , radiative transfer , atmospheric sciences , plateau (mathematics) , cloud albedo , cloud forcing , coupled model intercomparison project , climate model , meteorology , climate change , physics , climate sensitivity , cloud cover , geology , cloud computing , mathematics , computer science , art , aerosol , mathematical analysis , oceanography , operating system , quantum mechanics , art history , performance art
We examine radiative feedbacks based on short‐term climate variability by analyzing atmospheric general circulation model (AGCM) simulations, including Atmospheric Model Intercomparison Project within CMIP phase 6 (AMIP6) with known effective radiative forcing (ERF) for 1980–2014 and one with zero ERF for 1980–2017. We first verify the Kernel‐Gregory feedback calculation by showing that both clear‐sky radiative fluxes and all‐sky radiative feedbacks from the kernel method agree with model simulations. We find that global‐mean net feedback for 1980–2017/2014 is −2 W m −2  K −1 , about twice the feedback estimated for long‐term warming (4 × CO 2 ) experiments. This difference is mainly caused by a near‐zero global‐mean net cloud feedback for 1980–2017/2014. We show that the lapse rate feedback for 1980–2017/2014 is the largest contributor to the amplified temperature change over the three poles (Arctic, Antarctic, and Tibetan Plateau), followed by surface albedo feedback and Planck feedback deviation from its global mean. Except for a higher surface albedo feedback in Antarctic, other feedbacks are similar between Arctic and Antarctic.

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