Assimilation of point SWE data into a distributed snow cover model comparing two contrasting methods

Water Resources Research

Volumn 50, Issue 10, 2014, Pages 7816-7835

  Magnusson, Jan ^a   Gustafsson, David ^b,c   Hüsler, Fabia ^d   Jonas, Tobias ^a  

^a WSL INSTITUTE FOR SNOW AND AVALANCHE RESEARCH SLF   (Switzerland)

^b SWEDISH METEOROLOGICAL AND HYDROLOGICAL INSTITUTE   (Sweden)

^c ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

^d UNIVERSITY OF BERN   (Switzerland)

Author keywords

data assimilation; distributed snow modeling; ensemble Kalman filter; optimal interpolation; point observations

Indexed keywords

CLUSTERING ALGORITHMS; DECISION MAKING; INTERPOLATION; KALMAN FILTERS; REMOTE SENSING; TOPOGRAPHY; WATER RESOURCES;

DATA ASSIMILATION; ENSEMBLE KALMAN FILTER; OPTIMAL INTERPOLATION; POINT OBSERVATIONS; SNOW MODELS;

SNOW MAKING;

DATA ASSIMILATION; DATA SET; KALMAN FILTER; NUMERICAL MODEL; REMOTE SENSING; SATELLITE IMAGERY; SNOW COVER; SNOW WATER EQUIVALENT; THREE-DIMENSIONAL MODELING;

EID: 84911383648     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2014WR015302     Document Type: Article

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