Nonlinear parameter estimation: Comparison of an ensemble Kalman smoother with a Markov chain monte carlo algorithm

Monthly Weather Review

Volumn 140, Issue 6, 2012, Pages 1957-1974

  Posselt, Derek J ^a   Bishop, Craig H ^b  

^a UNIVERSITY OF MICHIGAN   (United States)

^b NAVAL RESEARCH LABORATORY   (United States)

Author keywords

Cloud parameterizations; Convective storms; Data assimilation; Kalman filters; Model errors; Nonlinear models

Indexed keywords

CONVECTIVE STORMS; DATA ASSIMILATION; MODEL ERRORS; NON-LINEAR MODEL; PARAMETERIZATIONS;

ALGORITHMS; COMPUTER SIMULATION; GAUSSIAN NOISE (ELECTRONIC); KALMAN FILTERS; PROBABILITY DENSITY FUNCTION; PROBABILITY DISTRIBUTIONS; UNCERTAINTY ANALYSIS;

PARAMETER ESTIMATION;

ALGORITHM; CLOUD MICROPHYSICS; COMPARATIVE STUDY; CONVECTIVE SYSTEM; DATA ASSIMILATION; ENSEMBLE FORECASTING; ERROR ANALYSIS; ESTIMATION METHOD; GAUSSIAN METHOD; KALMAN FILTER; MARKOV CHAIN; MODEL TEST; MONTE CARLO ANALYSIS; NONLINEARITY; ONE-DIMENSIONAL MODELING; PARAMETERIZATION; SMOOTHING; UNCERTAINTY ANALYSIS;

EID: 84864843741     PISSN: 00270644     EISSN: 15200493     Source Type: Journal    
DOI: 10.1175/MWR-D-11-00242.1     Document Type: Article

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