Calibration of the Stochastic Multicloud Model Using Bayesian Inference

DOI10.1137/13094267XzbMath1298.86003OpenAlexW2033749523MaRDI QIDQ2878968

Boualem Khouider, Andrew J. Majda, Michèle de la Chevrotière

Publication date: 5 September 2014

Published in: SIAM Journal on Scientific Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/13094267x

zbMATH Keywords

inverse problemclimate modelshigh performance computingBayesian inferencePETScMonte Carlo Markov chaingeneral circulation modellarge sparse matrix exponentialparallel uniformization methodstochastic cumulus parametrizationstochastic multi-cloud model

Mathematics Subject Classification ID

Statistical mechanics of random media, disordered materials (including liquid crystals and spin glasses) (82D30) Geostatistics (86A32) Parallel numerical computation (65Y05) Meteorology and atmospheric physics (86A10) Computational methods for problems pertaining to geophysics (86-08)

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Sequential sparse Bayesian learning with applications to system identification for damage assessment and recursive reconstruction of image sequences

Uses Software

• PETSc