Climate Change Data Portal
| DOI | 10.5194/hess-26-305-2022 |
| Trends and variability in snowmelt in China under climate change | |
| Yang, Yong; Chen, Rensheng; Liu, Guohua; Liu, Zhangwen; Wang, Xiqiang | |
| 通讯作者 | Chen, RS (通讯作者)，Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Qilian Alpine Ecol & Hydrol Res Stn, Lanzhou 730000, Peoples R China. ; Chen, RS (通讯作者)，Northwestern Univ, Coll Urban & Environm Sci, Xian 710127, Peoples R China. |
| 发表日期 | 2022 |
| ISSN | 1027-5606 |
| EISSN | 1607-7938 |
| 起始页码 | 305 |
| 结束页码 | 329 |
| 卷号 | 26期号:2 |
| 英文摘要 | Snowmelt is a major fresh water resource, and quantifying snowmelt and its variability under climate change is necessary for the planning and management of water resources. Spatiotemporal changes in snow properties in China have drawn wide attention in recent decades; however, country-wide assessments of snowmelt are lacking. Using precipitation and temperature data with a high spatial resolution (0.5'; approximately 1 km), this study calculated the monthly snowmelt in China for the 1951-2017 period, using a simple temperature index model, and the model outputs were validated using snowfall, snow depth, snow cover extent and snow water equivalent. Precipitation and temperature scenarios developed from five CMIP5 models were used to predict future snowmelt in China under three different representative concentration pathway (RCP) scenarios (RCP2.6, RCP4.5 and RCP8.5). The results show that the mean annual snowmelt in China from 1951 to 2017 is 2.41 x 10(11) m 3 yr(-1). The mean annual snowmelt values in Northern Xinjiang, Northeast China and the Tibetan Plateau - China's three main stable snow cover regions - are 0.18 x 10(11), 0.42 x 10(11) and 1.15 x 10(11) m(3) yr(-1), respectively. From 1951 to 2017, the snowmelt increased significantly in the Tibetan Plateau and decreased significantly in northern, central and southeastern China. In the whole of China, there was a decreasing trend in snowmelt, but this was not statistically significant. The mean annual snowmelt runoff ratios are generally more than 10 % in almost all third-level basins in West China, more than 5 % in third-level basins in North and Northeast China and less than 2 % in third-level basins in South China. From 1951 to 2017, the annual snowmelt runoff ratios decreased in most third-level basins in China. Under RCP2.6, RCP4.5 and RCP8.5, the projected snowmelt in China in the near future (2011-2040; mid-future -2041-2070; far future - 2071-2099) may decrease by 10.4 % (15.8 %; 13.9 %), 12.0 % (17.9 %; 21.1 %) and 11.7 % (24.8 %; 36.5 %) compared to the reference period (1981-2010), respectively. Most of the projected mean annual snowmelt runoff ratios in third-level basins in different future periods are lower than those in the reference period. Low temperature regions can tolerate more warming, and the snowmelt change in these regions is mainly influenced by precipitation; however, the snowmelt change in warm regions is more sensitive to temperature increases. The spatial variability in snowmelt changes may lead to regional differences in the impact of snowmelt on water supply. |
| 关键词 | REMOTE-SENSING DATATIBETAN PLATEAUWATER AVAILABILITYIN-SITUTEMPERATUREPRECIPITATIONCOVERDEPTHRUNOFFMODEL |
| 语种 | 英语 |
| WOS研究方向 | Geology ; Water Resources |
| WOS类目 | Geosciences, Multidisciplinary ; Water Resources |
| WOS记录号 | WOS:000748744600001 |
| 来源期刊 | HYDROLOGY AND EARTH SYSTEM SCIENCES
 |
| 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/253800 |
| 作者单位 | [Yang, Yong; Chen, Rensheng; Liu, Guohua; Liu, Zhangwen; Wang, Xiqiang] Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Qilian Alpine Ecol & Hydrol Res Stn, Lanzhou 730000, Peoples R China; [Chen, Rensheng] Northwestern Univ, Coll Urban & Environm Sci, Xian 710127, Peoples R China; [Liu, Guohua] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yang, Yong,Chen, Rensheng,Liu, Guohua,et al. Trends and variability in snowmelt in China under climate change[J]. 中国科学院西北生态环境资源研究院,2022,26(2). |
| APA | Yang, Yong,Chen, Rensheng,Liu, Guohua,Liu, Zhangwen,&Wang, Xiqiang.(2022).Trends and variability in snowmelt in China under climate change.HYDROLOGY AND EARTH SYSTEM SCIENCES,26(2). |
| MLA | Yang, Yong,et al."Trends and variability in snowmelt in China under climate change".HYDROLOGY AND EARTH SYSTEM SCIENCES 26.2(2022). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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