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DOI | 10.1016/j.jhydrol.2017.11.039 |
Intensive precipitation observation greatly improves hydrological modelling of the poorly gauged high mountain Mabengnong catchment in the Tibetan Plateau | |
Wang, Li; Zhang, Fan; Zhang, Hongbo; Scott, Christopher A.; Zeng, Chen; Shi, Xiaonan | |
通讯作者 | Zhang, F (通讯作者) |
发表日期 | 2018 |
ISSN | 0022-1694 |
EISSN | 1879-2707 |
起始页码 | 500 |
结束页码 | 509 |
卷号 | 556 |
英文摘要 | Precipitation is one of the most critical inputs for models used to improve understanding of hydrological processes. In high mountain areas, it is challenging to generate a reliable precipitation data set capturing the spatial and temporal heterogeneity due to the harsh climate, extreme terrain and the lack of observations. This study conducts intensive observation of precipitation in the Mabengnong catchment in the southeast of the Tibetan Plateau during July to August 2013. Because precipitation is greatly influenced by altitude, the observed data are used to characterize the precipitation gradient (PG) and hourly distribution (HD), showing that the average PG is 0.10, 0.28 and 0.26 mm/d/100 m and the average duration is around 0.1, 0.8 and 5.2 h for trace, light and moderate rain, respectively. A distributed biosphere hydrological model based on water and energy budgets with improved physical process for snow (WEB-DHMS) is applied to simulate the hydrological processes with gridded precipitation data derived from a lower altitude meteorological station and the PG and HD characterized for the study area. The observed runoff, MODIS/Terra snow cover area (SCA) data, and MODIS/Terra land surface temperature (LST) data are used for model calibration and validation. Runoff, SCA and LST simulations all show reasonable results. Sensitivity analyses illustrate that runoff is largely underestimated without considering PG, indicating that short-term intensive precipitation observation has the potential to greatly improve hydrological modelling of poorly gauged high mountain catchments. (C) 2017 Elsevier B.V. All rights reserved. |
关键词 | MODIS SNOW COVERALTITUDE RELATIONSHIPSUBSURFACE STORMFLOWRAINFALL VARIABILITYSURFACE TEMPERATURERIVER-BASINVALIDATIONRUNOFFCLIMATEWATER |
英文关键词 | Tibetan Plateau; Precipitation gradient; Precipitation duration; Runoff modeling; Snow cover modeling |
语种 | 英语 |
WOS研究方向 | Engineering ; Geology ; Water Resources |
WOS类目 | Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources |
WOS记录号 | WOS:000423641300039 |
来源期刊 | JOURNAL OF HYDROLOGY
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来源机构 | 中国科学院青藏高原研究所 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/259211 |
推荐引用方式 GB/T 7714 | Wang, Li,Zhang, Fan,Zhang, Hongbo,et al. Intensive precipitation observation greatly improves hydrological modelling of the poorly gauged high mountain Mabengnong catchment in the Tibetan Plateau[J]. 中国科学院青藏高原研究所,2018,556. |
APA | Wang, Li,Zhang, Fan,Zhang, Hongbo,Scott, Christopher A.,Zeng, Chen,&Shi, Xiaonan.(2018).Intensive precipitation observation greatly improves hydrological modelling of the poorly gauged high mountain Mabengnong catchment in the Tibetan Plateau.JOURNAL OF HYDROLOGY,556. |
MLA | Wang, Li,et al."Intensive precipitation observation greatly improves hydrological modelling of the poorly gauged high mountain Mabengnong catchment in the Tibetan Plateau".JOURNAL OF HYDROLOGY 556(2018). |
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