Assimilation of AMSR-E snow water equivalent data in a spatially-lumped snow model
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- 作者：David J. Dziubanski ; dave470@iastate.edu" class="auth_mail" title="E-mail the corresponding author ; Kristie J. Franz
- 关键词：Snow water equivalent ; Data assimilation ; Snow model ; AMSR-E ; SNOW17 ; Streamflow prediction
- 刊名：Journal of Hydrology
- 出版年：2016
- 出版时间：September 2016
- 年：2016
- 卷：540
- 期：Complete
- 页码：26-39
- 全文大小：2567 K
文摘
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AMSR-E snow water equivalent data was assimilated into the SNOW17 model using the EnKF.
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Average bias in AMSR-E snow water equivalent was −17.91 mm when compared to airborne measurements.
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SWE assimilation improved discharge simulations for five of seven study sites.
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SWE was consistently under-simulated, likely due to model calibration.
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Error in AMSR-E data was evident during episodes of liquid precipitation and melting.