| 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 Publication | GLOBAL AND PLANETARY CHANGE
 |
| 2016 | |
| Volume | 145Issue:0Pages:20-29 |
| DOI | 10.1016/j.gloplacha.2016.08.005 |
| Abstract | For 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 ID | WOS:000385599800004 |
| Language | 英语 |
| Indexed By | SCI |
| Keyword | Tibetan Plateau Gauge Observations Global Precipitation Summer Monsoon Recent Decades Ncep-ncar Rainfall Climate Reanalysis Evolution |
| Cooperation Status | 国际 |
| Department | 环境 |
| Subtype | Article |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.itpcas.ac.cn/handle/131C11/7581 |
| Collection | 图书馆 |
| Corresponding Author | Song, CQ; Huang, B |
| Affiliation | 1.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-SA | View Application Full Text | |
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