Robust characterization of model physics uncertainty for simulations of deep moist convection

Monthly Weather Review

Volumn 138, Issue 5, 2010, Pages 1513-1535

  Posselt, Derek J ^a   Vukicevic, Tomislava ^b  

^a UNIVERSITY OF MICHIGAN   (United States)

^b ATLANTIC OCEANOGRAPHIC AND METEOROLOGICAL LABORATORY   (United States)

Author keywords

Cloud microphysics; Convection; Model evaluation performance; Sensitivity studies

Indexed keywords

CLOUD MICROPHYSICAL PARAMETERS; CLOUD MICROPHYSICS; COMPLEX RELATIONSHIPS; CONVECTION MODEL; DATA ASSIMILATION; DEEP MOIST CONVECTION; ENSEMBLE PREDICTION; FUNCTIONAL RELATIONSHIP; ICE WATER PATHS; JOINT PROBABILITY DENSITY FUNCTION; MARKOV CHAIN MONTE CARLO ALGORITHMS; MODEL CONFIGURATION; MODEL FORMULATION; MODEL OUTPUTS; MODEL PHYSICS; MODEL UNCERTAINTIES; NONUNIQUENESS; RADIATIVE FLUXES; SENSITIVITY STUDIES; SQUALL LINES; STATE VARIABLES; SYSTEM TRANSITIONS;

DATA PROCESSING; MARKOV PROCESSES; NONLINEAR EQUATIONS; PARAMETER ESTIMATION; PHYSICS; PROBABILITY DENSITY FUNCTION; SECURITY OF DATA; STORMS; UNCERTAINTY ANALYSIS;

COMPUTER SIMULATION;

ALGORITHM; ATMOSPHERIC CONVECTION; ATMOSPHERIC MOISTURE; CLOUD MICROPHYSICS; COMPUTER SIMULATION; DATA ASSIMILATION; ENSEMBLE FORECASTING; MARKOV CHAIN; MONTE CARLO ANALYSIS; NUMERICAL MODEL; PRECIPITATION (CLIMATOLOGY); PROBABILITY DENSITY FUNCTION; UNCERTAINTY ANALYSIS;

EID: 77955588931     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/2009MWR3094.1     Document Type: Article

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