气候变化领域集成服务门户(CCPortal): Quantifying Snow Albedo Radiative Forcing and Its Feedback during 2003-2016

CCPortal

DOI	10.3390/rs9090883
	Quantifying Snow Albedo Radiative Forcing and Its Feedback during 2003-2016
	Xiao, Lin; Che, Tao; Chen, Linling; Xie, Hongjie; Dai, Liyun
发表日期	2017
EISSN	2072-4292
卷号	9 期号:9
英文摘要	Snow albedo feedback is one of the most crucial feedback processes that control equilibrium climate sensitivity, which is a central parameter for better prediction of future climate change. However, persistent large discrepancies and uncertainties are found in snow albedo feedback estimations. Remotely sensed snow cover products, atmospheric reanalysis data and radiative kernel data are used in this study to quantify snow albedo radiative forcing and its feedback on both hemispheric and global scales during 2003-2016. The strongest snow albedo radiative forcing is located north of 30 degrees N, apart from Antarctica. In general, it has large monthly variation and peaks in spring. Snow albedo feedback is estimated to be 0.18 +/- 0.08 W.m(-2).degrees C-1 and 0.04 +/- 0.02 W.m(-2).degrees C-1 on hemispheric and global scales, respectively. Compared to previous studies, this paper focuses specifically on quantifying snow albedo feedback and demonstrates three improvements: (1) used high spatial and temporal resolution satellite-based snow cover data to determine the areas of snow albedo radiative forcing and feedback; (2) provided detailed information for model parameterization by using the results from (1), together with accurate description of snow cover change and constrained snow albedo and snow-free albedo data; and (3) effectively reduced the uncertainty of snow albedo feedback and increased its confidence level through the block bootstrap test. Our results of snow albedo feedback agreed well with other partially observation-based studies and indicate that the 25 Coupled Model Intercomparison Project Phase 5 (CMIP5) models might have overestimated the snow albedo feedback, largely due to the overestimation of surface albedo change between snow-covered and snow-free surface in these models.
英文关键词	snow albedo radiative forcing; snow albedo feedback; radiative kernel; remote sensing
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS关键词	CLIMATE FEEDBACKS ; KERNEL TECHNIQUE ; MODEL ; CIRCULATION ; COVER ; CLOUD ; ICE ; AMPLIFICATION ; VARIABILITY ; SENSITIVITY
WOS记录号	WOS:000414138700013
来源期刊	REMOTE SENSING
来源机构	中国科学院西北生态环境资源研究院
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/241048
作者单位	[Xiao, Lin; Che, Tao; Dai, Liyun] Chinese Acad Sci, Key Lab Remote Sensing Gansu Prov, Heihe Remote Sensing Expt Res Stn, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Gansu, Peoples R China; [Xiao, Lin] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [Che, Tao] Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China; [Chen, Linling] Nansen Environm & Remote Sensing Ctr, N-5006 Bergen, Norway; [Xie, Hongjie] Univ Texas San Antonio, Lab Remote Sensing & Geoinformat, Dept Geol Sci, 1 UTSA Circle, San Antonio, TX 78249 USA; [Dai, Liyun] Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
推荐引用方式 GB/T 7714	Xiao, Lin,Che, Tao,Chen, Linling,et al. Quantifying Snow Albedo Radiative Forcing and Its Feedback during 2003-2016[J]. 中国科学院西北生态环境资源研究院,2017,9(9).
APA	Xiao, Lin,Che, Tao,Chen, Linling,Xie, Hongjie,&Dai, Liyun.(2017).Quantifying Snow Albedo Radiative Forcing and Its Feedback during 2003-2016.REMOTE SENSING,9(9).
MLA	Xiao, Lin,et al."Quantifying Snow Albedo Radiative Forcing and Its Feedback during 2003-2016".REMOTE SENSING 9.9(2017).