Journal
WATER RESOURCES RESEARCH
Volume 51, Issue 10, Pages 8060-8086Publisher
AMER GEOPHYSICAL UNION
DOI: 10.1002/2014WR015846
Keywords
-
Categories
Funding
- Chinese Academy of Sciences [XDB03030302]
- National Natural Science Foundation of China [41322001, 41401080, 41190083, 41190082]
- Key Technologies R&D Program of China [2013BAB05B00]
- Hundred Talents Program, Chinese Academy of Sciences
Ask authors/readers for more resources
Lake water storage change (Delta S-w) is an important indicator of the hydrologic cycle and greatly influences lake expansion/shrinkage over the Tibetan Plateau (TP). Accurate estimation of Delta S-w will contribute to improved understanding of lake variations in the TP. Based on a water balance, this study explored the variations of Delta S-w for the Lake Selin Co (the largest closed lake on the TP) during 2003-2012 using the Water and Energy Budget-based Distributed Hydrological Model (WEB-DHM) together with two different evapotranspiration (ET) algorithms (the Penman-Monteith method and a simple sublimation estimation approach for water area in unfrozen and frozen period). The contributions of basin discharge and climate causes to the Delta S-w are also quantitatively analyzed. The results showed that WEB-DHM could well reproduce daily discharge, the spatial pattern, and basin-averaged values of MODIS land surface temperature (LST) during nighttime and daytime. Compared with the ET reference values estimated from the basin-wide water balance, our ET estimates showed better performance than three global ET products in reproducing basin-averaged ET. The modeled ET at point scale matches well with short-term in situ daily measurements (RMSE = 0.82 mm/d). Lake inflows and precipitation over the water area had stronger relationships with Delta S-w in the warm season and monthly scale, whereas evaporation from the water area had remarkable effects on Delta S-w in the cold season. The total contribution of the three factors to Delta S-w was about 90%, and accounting for 49.5%, 22.1%, and 18.3%, respectively.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available