FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2033749523> ?p ?o ?g. }

• W2033749523 endingPage "B560" @default.
• W2033749523 startingPage "B538" @default.
• W2033749523 abstract "The stochastic multicloud model (SMCM) was recently developed [B. Khouider, J. Biello, and A. J. Majda, Commun. Math. Sci., 8 (2010), pp. 187--216] to represent the missing variability in general circulation models due to unresolved features of organized tropical convection. This research aims at finding a robust calibration methodology for the SMCM to estimate key model parameters from data. We formulate the calibration problem within a Bayesian framework to derive the posterior distribution over the model parameters. The main challenge here is due to the likelihood function which requires solving a large system of differential equations (the Kolmogorov equations) as many times as there are data points, which is prohibitive in terms of both computation time and storage requirements. The most attractive numerical techniques to compute the transient solutions to large Markov chains are based on matrix exponentials, but none is unconditionally acceptable for all classes of problems. We develop a parallel version of a preconditioning technique known as the uniformization method, using the PETSc (Portable, Extensible Toolkit for Scientific Computation) suite of sparse matrix-vector operations. The parallel uniformization method allows for fast and scalable approximations of large sparse matrix exponentials, without sacrificing accuracy. Sampling of the high-dimensional posterior distribution is achieved via the standard Markov chain Monte Carlo. The robustness of the calibration procedure is tested using synthetic data produced by a simple toy climate model. A sensitivity study to the length of the data time series and to the prior distribution is presented, and a sequential learning strategy is also tested." @default.
• W2033749523 created "2016-06-24" @default.
• W2033749523 creator A5028788955 @default.
• W2033749523 creator A5075496148 @default.
• W2033749523 creator A5076247487 @default.
• W2033749523 date "2014-01-01" @default.
• W2033749523 modified "2023-10-13" @default.
• W2033749523 title "Calibration of the Stochastic Multicloud Model Using Bayesian Inference" @default.
• W2033749523 cites W1539039000 @default.
• W2033749523 cites W1975352576 @default.
• W2033749523 cites W1979541009 @default.
• W2033749523 cites W1979963860 @default.
• W2033749523 cites W1992205246 @default.
• W2033749523 cites W2001096110 @default.
• W2033749523 cites W2009743150 @default.
• W2033749523 cites W2013266685 @default.
• W2033749523 cites W2013590599 @default.
• W2033749523 cites W2036624535 @default.
• W2033749523 cites W2038171222 @default.
• W2033749523 cites W2042507029 @default.
• W2033749523 cites W2049229863 @default.
• W2033749523 cites W2057602562 @default.
• W2033749523 cites W2067136705 @default.
• W2033749523 cites W2067299060 @default.
• W2033749523 cites W2069425686 @default.
• W2033749523 cites W2084666706 @default.
• W2033749523 cites W2086915750 @default.
• W2033749523 cites W2105388802 @default.
• W2033749523 cites W2110562258 @default.
• W2033749523 cites W2122301347 @default.
• W2033749523 cites W2130727150 @default.
• W2033749523 cites W2133753011 @default.
• W2033749523 cites W2135497302 @default.
• W2033749523 cites W2141317563 @default.
• W2033749523 cites W2142721512 @default.
• W2033749523 cites W2151895407 @default.
• W2033749523 cites W2164056634 @default.
• W2033749523 doi "https://doi.org/10.1137/13094267x" @default.
• W2033749523 hasPublicationYear "2014" @default.
• W2033749523 type Work @default.
• W2033749523 sameAs 2033749523 @default.
• W2033749523 citedByCount "19" @default.
• W2033749523 countsByYear W20337495232015 @default.
• W2033749523 countsByYear W20337495232016 @default.
• W2033749523 countsByYear W20337495232017 @default.
• W2033749523 countsByYear W20337495232018 @default.
• W2033749523 countsByYear W20337495232019 @default.
• W2033749523 countsByYear W20337495232021 @default.
• W2033749523 countsByYear W20337495232023 @default.
• W2033749523 crossrefType "journal-article" @default.
• W2033749523 hasAuthorship W2033749523A5028788955 @default.
• W2033749523 hasAuthorship W2033749523A5075496148 @default.
• W2033749523 hasAuthorship W2033749523A5076247487 @default.
• W2033749523 hasBestOaLocation W20337495232 @default.
• W2033749523 hasConcept C104317684 @default.
• W2033749523 hasConcept C107673813 @default.
• W2033749523 hasConcept C111350023 @default.
• W2033749523 hasConcept C11413529 @default.
• W2033749523 hasConcept C119857082 @default.
• W2033749523 hasConcept C126255220 @default.
• W2033749523 hasConcept C149260544 @default.
• W2033749523 hasConcept C154945302 @default.
• W2033749523 hasConcept C158917313 @default.
• W2033749523 hasConcept C160234255 @default.
• W2033749523 hasConcept C163836022 @default.
• W2033749523 hasConcept C185592680 @default.
• W2033749523 hasConcept C2776214188 @default.
• W2033749523 hasConcept C2779377595 @default.
• W2033749523 hasConcept C28826006 @default.
• W2033749523 hasConcept C32230216 @default.
• W2033749523 hasConcept C33923547 @default.
• W2033749523 hasConcept C41008148 @default.
• W2033749523 hasConcept C55493867 @default.
• W2033749523 hasConcept C63479239 @default.
• W2033749523 hasConcept C98763669 @default.
• W2033749523 hasConceptScore W2033749523C104317684 @default.
• W2033749523 hasConceptScore W2033749523C107673813 @default.
• W2033749523 hasConceptScore W2033749523C111350023 @default.
• W2033749523 hasConceptScore W2033749523C11413529 @default.
• W2033749523 hasConceptScore W2033749523C119857082 @default.
• W2033749523 hasConceptScore W2033749523C126255220 @default.
• W2033749523 hasConceptScore W2033749523C149260544 @default.
• W2033749523 hasConceptScore W2033749523C154945302 @default.
• W2033749523 hasConceptScore W2033749523C158917313 @default.
• W2033749523 hasConceptScore W2033749523C160234255 @default.
• W2033749523 hasConceptScore W2033749523C163836022 @default.
• W2033749523 hasConceptScore W2033749523C185592680 @default.
• W2033749523 hasConceptScore W2033749523C2776214188 @default.
• W2033749523 hasConceptScore W2033749523C2779377595 @default.
• W2033749523 hasConceptScore W2033749523C28826006 @default.
• W2033749523 hasConceptScore W2033749523C32230216 @default.
• W2033749523 hasConceptScore W2033749523C33923547 @default.
• W2033749523 hasConceptScore W2033749523C41008148 @default.
• W2033749523 hasConceptScore W2033749523C55493867 @default.
• W2033749523 hasConceptScore W2033749523C63479239 @default.
• W2033749523 hasConceptScore W2033749523C98763669 @default.
• W2033749523 hasIssue "3" @default.
• W2033749523 hasLocation W20337495231 @default.

• next