ITPCAS OpenIR  > 图书馆
Precipitation variability in High Mountain Asia from multiple datasets and implication for water balance analysis in large lake basins
Song, CQ (Song, Chunqiao)1,2; Huang, B (Huang, Bo)2,3; Ke, LH (Ke, Linghong)4; Ye, QH (Ye, Qinghua)5; Song, CQ; Huang, B
Source PublicationGLOBAL AND PLANETARY CHANGE
2016
Volume145Issue:0Pages:20-29
DOI10.1016/j.gloplacha.2016.08.005
AbstractFor the period 1979-2011, eight gridded monthly precipitation datasets, including GPCP, CMAP-1/2, TRMM, PREC/L, APHRODITE, NCEP-2 and ERA-Interim, are inter-compared with each other and station observations over High Mountain Asia (HMA). The precipitation variability from the first six gauge-based or merged analysis datasets agree better with each other than with the two reanalysis data. The long-term trend analysis of GPCP, CMAP-1, PREC/L and APHRODITE precipitation datasets consistently reveals moderate increases in the inner and northeastern Tibetan Plateau (TP) and northwest Xinjiang, and obvious decreases in the southeast TP. However, in the Himalayas and Karakorum, there are large discrepancies among different datasets, where GPCP and APHRODITE precipitation datasets show significant decreases along the Himalayas while other datasets show strong spatial heterogeneity or slight variations. The larger uncertainties in the rugged area may be largely attributed to scarce station observations, as well as the stronger snow-induced scattering by microwave measurement. To assess which precipitation datasets tend to be more suitable for hydrologic analysis in HMA, we further investigate the accuracy of precipitation estimates at basin scale by comparing with gauge-based observations, and examine the coherences of annual lake water budgets and precipitation variability over four large closed lake catchments. The results indicate that two reanalysis precipitation datasets show evidently weaker correlations with station observations; the other six datasets perform better in indicating inter-annual variations of lake water budgets. It suggests that these merged analysis precipitation datasets, especially for GPCP, CMAP-1/2 and PREC/L, have the potential in examining regional water balances of the inner basins in HMA. (C) 2016 Elsevier B.V. All rights reserved.
Subject Area自然地理学
WOS IDWOS:000385599800004
Language英语
Indexed BySCI
KeywordTibetan Plateau Gauge Observations Global Precipitation Summer Monsoon Recent Decades Ncep-ncar Rainfall Climate Reanalysis Evolution
Cooperation Status国际
Department环境
SubtypeArticle
Citation statistics
Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/7581
Collection图书馆
Corresponding AuthorSong, CQ; Huang, B
Affiliation1.Univ Calif Los Angeles, Dept Geog, Portola Plaza, Los Angeles, CA 90095 USA
2.Chinese Univ Hong Kong, Dept Geog & Resource Management, Hong Kong 999077, Hong Kong, Peoples R China
3.Chinese Univ Hong Kong, Shenzhen Res Inst, Shenzhen 518172, Peoples R China
4.Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Hong Kong 999077, Hong Kong, Peoples R China
5.Chinese Acad Sci, Inst Tibetan Plateau Res ITP, Bldg 3,Yard 16 Lincui Rd, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Song, CQ ,Huang, B ,Ke, LH ,et al. Precipitation variability in High Mountain Asia from multiple datasets and implication for water balance analysis in large lake basins[J]. GLOBAL AND PLANETARY CHANGE,2016,145(0):20-29.
APA Song, CQ ,Huang, B ,Ke, LH ,Ye, QH ,Song, CQ,&Huang, B.(2016).Precipitation variability in High Mountain Asia from multiple datasets and implication for water balance analysis in large lake basins.GLOBAL AND PLANETARY CHANGE,145(0),20-29.
MLA Song, CQ ,et al."Precipitation variability in High Mountain Asia from multiple datasets and implication for water balance analysis in large lake basins".GLOBAL AND PLANETARY CHANGE 145.0(2016):20-29.
Files in This Item:
File Name/Size DocType Version Access License
V.145 20-29 2016.pdf(3646KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Song, CQ (Song, Chunqiao)]'s Articles
[Huang, B (Huang, Bo)]'s Articles
[Ke, LH (Ke, Linghong)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Song, CQ (Song, Chunqiao)]'s Articles
[Huang, B (Huang, Bo)]'s Articles
[Ke, LH (Ke, Linghong)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Song, CQ (Song, Chunqiao)]'s Articles
[Huang, B (Huang, Bo)]'s Articles
[Ke, LH (Ke, Linghong)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: V.145 20-29 2016.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.