Evolution of ensemble data assimilation for uncertainty quantification using the particle filter-Markov chain Monte Carlo method

Water Resources Research

Volumn 48, Issue 12, 2012, Pages

  Moradkhani, Hamid ^a   Dechant, Caleb M ^a   Sorooshian, Soroosh ^b  

^a Portland State University   (United States)

^b University of California at Irvine   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL DEMANDS; ENSEMBLE DATA ASSIMILATION; HYDROLOGIC MODELS; HYDROLOGIC PREDICTION; MARKOV CHAIN MONTE CARLO METHOD; PARTICLE FILTER; POSTERIOR DISTRIBUTIONS; PROBABILISTIC PREDICTION; SAMPLE IMPOVERISHMENT; SURFACE MODELS; SYNTHETIC STUDY; UNCERTAINTY QUANTIFICATIONS;

DISTRIBUTED COMPUTER SYSTEMS; MONTE CARLO METHODS; SIGNAL FILTERING AND PREDICTION;

TARGET TRACKING;

DATA ASSIMILATION; FILTER; HYDROLOGICAL MODELING; LAND SURFACE; MARKOV CHAIN; MONTE CARLO ANALYSIS; NUMERICAL MODEL; PREDICTION; RELIABILITY ANALYSIS; UNCERTAINTY ANALYSIS;

EID: 84871364784     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1029/2012WR012144     Document Type: Article

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