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Intensive precipitation observation greatly improves hydrological modelling of the poorly gauged high mountain Mabengnong catchment in the Tibetan Plateau
Wang, L (Wang, Li)1,2,3; Zhang, F (Zhang, Fan)1,2,3,4; Zhang, HB (Zhang, Hongbo)1,2; Scott, CA (Scott, Christopher A.)5,6; Zeng, C (Zeng, Chen)1,2; Shi, XN (Shi, Xiaonan)1,2
Source PublicationJOURNAL OF HYDROLOGY
2018
Volume556Issue:0Pages:500-509
DOI10.1016/j.jhydrol.2017.11.039
Abstract

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.

Subject Area地理学
WOS IDWOS:000423641300039
Language英语
Indexed BySCIE
KeywordModis Snow Cover Altitude Relationship Subsurface Stormflow Rainfall Variability Surface Temperature River-basin Validation Runoff Climate Water
WOS Research AreaEngineering ; Geology ; Water Resources
WOS SubjectEngineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
Cooperation Status国际
ISSN0022-1694
Department环境变化与地表过程重点实验室
PublisherELSEVIER SCIENCE BV
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/8783
Collection图书馆
Corresponding AuthorZhang, F (Zhang, Fan)
Affiliation1.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Tibetan Environm Changes & Land Surface P, Beijing, Peoples R China;
2.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Alpine Ecol & Biodivers, Beijing, Peoples R China;
3.Univ Chinese Acad Sci, Beijing, Peoples R China;
4.CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China;
5.[Scott, Christopher A.] Univ Arizona, Sch Geog & Dev, Tucson, AZ 85719 USA;
6.[Scott, Christopher A.] Univ Arizona, Udall Ctr Studies Publ Policy, Tucson, AZ 85719 USA.
Recommended Citation
GB/T 7714
Wang, L ,Zhang, F ,Zhang, HB ,et al. Intensive precipitation observation greatly improves hydrological modelling of the poorly gauged high mountain Mabengnong catchment in the Tibetan Plateau[J]. JOURNAL OF HYDROLOGY,2018,556(0):500-509.
APA Wang, L ,Zhang, F ,Zhang, HB ,Scott, CA ,Zeng, C ,&Shi, XN .(2018).Intensive precipitation observation greatly improves hydrological modelling of the poorly gauged high mountain Mabengnong catchment in the Tibetan Plateau.JOURNAL OF HYDROLOGY,556(0),500-509.
MLA Wang, L ,et al."Intensive precipitation observation greatly improves hydrological modelling of the poorly gauged high mountain Mabengnong catchment in the Tibetan Plateau".JOURNAL OF HYDROLOGY 556.0(2018):500-509.
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