Estimations of Evapotranspiration and Water Balance with Uncertainty over the Yukon River Basin

被引:0
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作者
Wenping Yuan
Shuguang Liu
Shunlin Liang
Zhengxi Tan
Heping Liu
Claudia Young
机构
[1] Chinese Academic of Science,State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing Applications
[2] Beijing Normal University,College of Global Change and Earth System Science
[3] United States Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center,Geographic Information Science Center of Excellence
[4] South Dakota State University,Department of Civil & Environmental Engineering
[5] ASRC Research and Technology Solutions,Department of Geography
[6] Contractor to the USGS Earth Resources Observation and Science (EROS) Center,undefined
[7] Washington State University,undefined
[8] ADNET Systems,undefined
[9] Inc.,undefined
[10] Contractor to the USGS Earth Resources Observation and Science (EROS) Center,undefined
[11] University of Maryland,undefined
来源
关键词
Evapotranspiration; Bayesian approach; Markov chain Monte Carlo; Model uncertainty; Yukon river basin;
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学科分类号
摘要
In this study, the revised Remote Sensing-Penman Monteith model (RS-PM) was used to scale up evapotranspiration (ET) over the entire Yukon River Basin (YRB) from three eddy covariance (EC) towers covering major vegetation types. We determined model parameters and uncertainty using a Bayesian-based method in the three EC sites. The 95 % confidence interval for the aggregate ecosystem ET ranged from 233 to 396 mm yr−1 with an average of 319 mm yr−1. The mean difference between precipitation and evapotranspiration (W) was 171 mm yr−1 with a 95 % confidence interval of 94–257 mm yr−1. The YRB region showed a slight increasing trend in annual precipitation for the 1982–2009 time period, while ET showed a significant increasing trend of 6.6 mm decade−1. As a whole, annual W showed a drying trend over YRB region.
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页码:2147 / 2157
页数:10
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