Assessing parametrization uncertainty associated with horizontal resolution in numerical weather prediction models

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Volumn 372, Issue 2018, 2014, Pages

  Shutts, Glenn ^a   Pallarés, Alfons Callado ^b  

^a MET OFFICE   (United Kingdom)

^b AEMET   (Spain)

Author keywords

AR1 process; Coarse graining; Model error; Stochastic parametrization; Uncertainty

Indexed keywords

ALGORITHMS; DISTRIBUTION FUNCTIONS; PROBABILITY DISTRIBUTIONS; STOCHASTIC MODELS; UNCERTAINTY ANALYSIS; WEATHER FORECASTING;

COARSE GRAINING; EUROPEAN CENTRE FOR MEDIUM-RANGE WEATHER FORECASTS; INTEGRATED FORECASTING SYSTEMS; MODEL ERRORS; NUMERICAL WEATHER PREDICTION MODELS; SPATIAL AND TEMPORAL RESOLUTIONS; STOCHASTIC PARAMETRIZATION; UNCERTAINTY;

STOCHASTIC SYSTEMS;

EID: 84901624484     PISSN: 1364503X     EISSN: None     Source Type: Journal    
DOI: 10.1098/rsta.2013.0284     Document Type: Article

References (8)

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2. Buizza R, Miller M, Palmer TN. 1999 Stochastic representation of model uncertainty in the ECMWF ensemble prediction system. Q. J. R. Meteorol. Soc. 125, 2887-2908. (doi:10.1002/ qj.49712556006) (Pubitemid 30044976)
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8. Berner J, Shutts GJ, Leutbecher M, Palmer TN. 2009 A spectral stochastic kinetic energy backscatter scheme and its impact on flow-dependent predictability in the ECMWF ensemble prediction system. J. Atmos. Sci. 66, 603-626. (doi:10.1175/2008JAS2677.1.)