Differences in snow-induced radiative forcing estimated from satellite and reanalysis surface albedo datasets over the Northern Hemisphere landmass for the overlapping period of 1982–2012
文献类型:期刊论文
作者 | Xiaona,Chen1; Shunlin,Liang2; Yaping,Yang1 |
刊名 | Environmental Research Communications
![]() |
出版日期 | 2020-09-01 |
卷号 | 2期号:9 |
关键词 | snow cover land surface albedo Northern Hemisphere energy budget radiative forcing |
DOI | 10.1088/2515-7620/abb3b8 |
通讯作者 | Xiaona,Chen() |
英文摘要 | Abstract The snow-induced radiative forcing (SnRF) measures the instantaneous perturbation to Earth’s shortwave radiation at the top of the atmosphere (TOA) caused by the presence of snow cover. Land surface albedo (as) is a key parameter in estimation of SnRF. Previous studies have focused on using satellite or reanalysis as data in SnRF quantifications. However, their spatial and temporal differences remain unclear. In this study, SnRF over the Northern Hemisphere (NH) estimates from two satellite and four reanalysis as datasets were compared for the overlapping period of 1982–2012. The 31-year annual-mean SnRF was estimated at ?1.81 to ?1.59 W m?2 from satellite as datasets, with a peak of ?4.01 W m?2 and Standard Deviation (SD) of 1.54 W m?2 in April. The comparable SnRF from reanalysis as was ?1.48 to ?2.30 W m?2, with a peak of ?4.77 W m?2 and SD of 0.81 W m?2 in the same month. In the seasonal cycle, SnRF from satellite as displayed lower values from October to January, but higher values from February to July, compared with SnRF using reanalysis as. Moreover, the annual-mean SnRF declined by 0.39–1.25 W m?2 during 1982–2012 from satellite as datasets, which is much smaller than the results using reanalysis as datasets. Furthermore, changes in monthly-mean SnRF from satellite as displayed an enhance trend in snow accumulation seasons, which are largely different with the comparable changes from reanalysis-based SnRF, indicating that there are large interannual and intra-annual biases between SnRF estimates from satellite and reanalysis as datasets. Based on above results, we conclude that the large discrepancies between SnRF estimations from satellite and reanalysis as should be considered in evaluating the response and feedback of snow cover to Earth climate change in future studies, especially in radiation budget anomalies. |
语种 | 英语 |
WOS记录号 | IOP:2515-7620-2-9-ABB3B8 |
出版者 | IOP Publishing |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/156745] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Xiaona,Chen |
作者单位 | 1.State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, People’s Republic of China 2.Department of Geographical Sciences, University of Maryland, College Park 20740, United States of America |
推荐引用方式 GB/T 7714 | Xiaona,Chen,Shunlin,Liang,Yaping,Yang. Differences in snow-induced radiative forcing estimated from satellite and reanalysis surface albedo datasets over the Northern Hemisphere landmass for the overlapping period of 1982–2012[J]. Environmental Research Communications,2020,2(9). |
APA | Xiaona,Chen,Shunlin,Liang,&Yaping,Yang.(2020).Differences in snow-induced radiative forcing estimated from satellite and reanalysis surface albedo datasets over the Northern Hemisphere landmass for the overlapping period of 1982–2012.Environmental Research Communications,2(9). |
MLA | Xiaona,Chen,et al."Differences in snow-induced radiative forcing estimated from satellite and reanalysis surface albedo datasets over the Northern Hemisphere landmass for the overlapping period of 1982–2012".Environmental Research Communications 2.9(2020). |
入库方式: OAI收割
来源:地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。