Delayed Antarctic melt season reduces albedo feedback

Author:

Liang Lei12,Guo Huadong12,Liang Shuang12,Li Xichen3,Moore John C456,Li Xinwu12,Cheng Xiao7,Wu Wenjin12,Liu Yan4,Rinke Annette8,Jia Gensuo3,Pan Feifei9,Gong Chen1

Affiliation:

1. Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences , Beijing 100094 , China

2. International Research Center of Big Data for Sustainable Development Goals , Beijing 100094 , China

3. Institute of Atmospheric Physics, Chinese Academy of Sciences , Beijing 100029 , China

4. College of Global Change and Earth System Science, Beijing Normal University , Beijing 100875 , China

5. Arctic Centre, University of Lapland , Rovaniemi 96101 , Finland

6. CAS Center for Excellence in Tibetan Plateau Earth Sciences , Beijing 100101 , China

7. School of Geospatial Engineering and Science, Sun Yat-sen University , Guangzhou 519082 , China

8. Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research , Potsdam 14473 , Germany

9. Department of Geography, University of North Texas , Denton , TX 76203 , USA

Abstract

ABSTRACT Antarctica's response to climate change varies greatly both spatially and temporally. Surface melting impacts mass balance and also lowers surface albedo. We use a 43-year record (from 1978 to 2020) of Antarctic snow melt seasons from space-borne microwave radiometers with a machine-learning algorithm to show that both the onset and the end of the melt season are being delayed. Granger-causality analysis shows that melt end is delayed due to increased heat flux from the ocean to the atmosphere at minimum sea-ice extent from warming oceans. Melt onset is Granger-caused primarily by the turbulent heat flux from ocean to atmosphere that is in turn driven by sea-ice variability. Delayed snowmelt season leads to a net decrease in the absorption of solar irradiance, as a delayed summer means that higher albedo occurs after the period of maximum solar radiation, which changes Antarctica's radiation balance more than sea-ice cover.

Funder

Chinese Academy of Sciences

Innovative Research Program of the International Research Center of Big Data for Sustainable Development Goals

International Partnership Program of Chinese Academy of Sciences

National Natural Science Foundation of China

Publisher

Oxford University Press (OUP)

Subject

Multidisciplinary

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