Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019JD030539 |
Global Attribution of Runoff Variance Across Multiple Timescales | |
Liu, Jianyu1,2; Zhang, Qiang3,4,5; Feng, Shuyun1,2; Gu, Xihui6; Singh, Vijay P.7,8; Sun, Peng9 | |
2019-12-28 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
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ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2019 |
卷号 | 124期号:24页码:13962-13974 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; USA |
英文摘要 | Previous findings on the relative importance of driving factors to runoff have been controversial, and the relative contribution of driving factors behind the temporal variance of runoff (Rv) still remains unquantified at a global scale. Here, we present a new framework to quantify the driving factors behind Rv globally by decomposing Rv into the temporal variance of precipitation (P), potential evapotranspiration (E-0), total water storage change ( increment S), and other factors (represented by n in Budyko equation), such as climate seasonality, land cover, and human impact, at intra-annual, interannual, and multiannual timescales. The results reveal that P controls Rv at different timescales in most parts of the globe. P has distinctly larger impacts on Rv in humid basins at the multiannual scale, while other factors have larger impacts in arid basins. We highlight the different impacts of driving factors on Rv at multiple timescales, which contradicts previous global assessments that assess the relative importance by sensitivity. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000504615400001 |
WOS关键词 | MEAN ANNUAL EVAPOTRANSPIRATION ; WATER-BALANCE ; TEMPORAL VARIABILITY ; CLIMATE VARIABILITY ; VEGETATION DYNAMICS ; TERRESTRIAL STORAGE ; CATCHMENT ; EVAPORATION ; SURFACE |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/225986 |
专题 | 环境与发展全球科技态势 |
作者单位 | 1.China Univ Geosci, Sch Earth Sci, Lab Crit Zone Evolut, Wuhan, Hubei, Peoples R China; 2.CASXian, State Key Lab Loess & Quaternary Geol, Inst Earth Environm, Xian, Shaanxi, Peoples R China; 3.Beijing Normal Univ, Key Lab Environm Change & Nat Disaster, Minist Educ, Beijing, Peoples R China; 4.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing, Peoples R China; 5.Beijing Normal Univ, Acad Disaster Reduct & Emergency Management, Fac Geog Sci, Beijing, Peoples R China; 6.China Univ Geosci, Sch Environm Studies, Dept Atmospher Sci, Wuhan, Hubei, Peoples R China; 7.Texas A&M Univ, Dept Biol & Agr Engn, College Stn, TX USA; 8.Texas A&M Univ, Zachry Dept Civil Engn, College Stn, TX USA; 9.Anhui Normal Univ, Coll Geog & Tourism, Wuhu, Anhui, Peoples R China |
推荐引用方式 GB/T 7714 | Liu, Jianyu,Zhang, Qiang,Feng, Shuyun,et al. Global Attribution of Runoff Variance Across Multiple Timescales[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2019,124(24):13962-13974. |
APA | Liu, Jianyu,Zhang, Qiang,Feng, Shuyun,Gu, Xihui,Singh, Vijay P.,&Sun, Peng.(2019).Global Attribution of Runoff Variance Across Multiple Timescales.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,124(24),13962-13974. |
MLA | Liu, Jianyu,et al."Global Attribution of Runoff Variance Across Multiple Timescales".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 124.24(2019):13962-13974. |
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