Evaluation of snow data assimilation using the ensemble Kalman filter for seasonal streamflow prediction in the western United States

Hydrology and Earth System Sciences

Volumn 21, Issue 1, 2017, Pages 635-650

  Huang, Chengcheng ^a,b   Newman, Andrew J ^b   Clark, Martyn P ^b   Wood, Andrew W ^b   Zheng, Xiaogu ^a  

^a BEIJING NORMAL UNIVERSITY   (China)

^b NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BANDPASS FILTERS; FORECASTING; SNOW; SOIL MOISTURE; STREAM FLOW; UNCERTAINTY ANALYSIS;

ENSEMBLE KALMAN FILTER; PACIFIC NORTHWEST; PREDICTIVE PERFORMANCE; SNOW WATER EQUIVALENT; STREAMFLOW PREDICTION; TRANSFORMATION OPERATORS; UNCERTAINTY ESTIMATES; WESTERN UNITED STATES;

KALMAN FILTERS;

DATA ASSIMILATION; DATA SET; ENSEMBLE FORECASTING; HYDROLOGICAL MODELING; KALMAN FILTER; PREDICTION; SEASONAL VARIATION; SNOW; SNOW WATER EQUIVALENT; STREAMFLOW; UNCERTAINTY ANALYSIS;

CALIFORNIA; PACIFIC NORTHWEST; ROCKY MOUNTAINS; SACRAMENTO; UNITED STATES;

EID: 85011290545     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-21-635-2017     Document Type: Article

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