Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1175/JHM-D-19-0019.1 |
Using a Gaussian Function to Describe the Seasonal Courses of Monthly Precipitation and Potential Evapotranspiration across the Yellow River Basin, China | |
Wang, Yaqin1,2; Luo, Yi1,2,3; Shafeeque, Muhammad1,2 | |
通讯作者 | Luo, Yi |
来源期刊 | JOURNAL OF HYDROMETEOROLOGY
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ISSN | 1525-755X |
EISSN | 1525-7541 |
出版年 | 2019 |
卷号 | 20期号:11页码:2185-2201 |
英文摘要 | Seasonal variations in precipitation (P) and potential evapotranspiration (ET0) are critical for regional hydrometeorological studies and water resource management. The sinusoidal function is widely used to describe the seasonal pattern of P and ET0. However, high errors occur either in the arid places or in places with hyperseasonal precipitation. These limitations are intrinsic properties of the sinusoidal climate descriptor and remain a barrier to provide insight into regional water-energy partitions and hydrologic similarity and predictability. In this study, we used a Gaussian framework as an alternative to describe seasonal variations in P and ET0 regimes in the Yellow River basin (YRB). The results show that the Gaussian framework provides a good approximation to the seasonal pattern of P and has a strong regional applicability for reproducing the monthly P and ET0. This allows us to assess the climate seasonality characterizing the regional balance between water supply and energy availability using delta P, delta ET0, and aridity index. The climate seasonality indicates that the balance between water supply and energy availability has a switch in about 32% of the grid cells during the seasonal cycle from 1982 to 2015. These grid cells are mostly located in regions with average annual precipitation above 550 mm. In the northwest region of the YRB, which has a dry climate, the amount of potential evapotranspiration always exceeds the precipitation. We argue that the Gaussian function provides a quantitative conceptual framework for accurate assessment of regional water supply and energy availability and offers a penetrating insight into hydrometeorology. |
英文关键词 | Precipitation Algorithms Data processing Data quality control |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
收录类别 | SCI-E |
WOS记录号 | WOS:000496133300001 |
WOS关键词 | ANNUAL WATER-BALANCE ; LOESS PLATEAU REGION ; RAINFALL SEASONALITY ; CLIMATE SEASONALITY ; VEGETATION DYNAMICS ; WORLD MAP ; CATCHMENT ; STREAMFLOW ; RUNOFF ; IMPACT |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
EI主题词 | 2019-11-01 |
来源机构 | 中国科学院地理科学与资源研究所 |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/310493 |
作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China; 2.Univ Chinese Acad Sci, Beijing, Peoples R China; 3.Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, Urumqi, Xinjiang, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Yaqin,Luo, Yi,Shafeeque, Muhammad. Using a Gaussian Function to Describe the Seasonal Courses of Monthly Precipitation and Potential Evapotranspiration across the Yellow River Basin, China[J]. 中国科学院地理科学与资源研究所,2019,20(11):2185-2201. |
APA | Wang, Yaqin,Luo, Yi,&Shafeeque, Muhammad.(2019).Using a Gaussian Function to Describe the Seasonal Courses of Monthly Precipitation and Potential Evapotranspiration across the Yellow River Basin, China.JOURNAL OF HYDROMETEOROLOGY,20(11),2185-2201. |
MLA | Wang, Yaqin,et al."Using a Gaussian Function to Describe the Seasonal Courses of Monthly Precipitation and Potential Evapotranspiration across the Yellow River Basin, China".JOURNAL OF HYDROMETEOROLOGY 20.11(2019):2185-2201. |
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