Results 61 to 70 of about 7,980 (145)
EURASIP Journal on Wireless Communications and Networking, 2010 The sum product algorithm on factor graphs (FG/SPA) is a widely used tool to solve various problems in a wide area of fields. A representation of generally-shaped continuously valued messages in the FG/SPA is commonly solved by a proper parameterization
Prochazka Pavel, Sykora Jan
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Stochastic Parameterization: The Importance of Nonlocality and Memory
Journal of Advances in Modeling Earth SystemsStochastic parameterizations deployed in models of the Earth system frequently invoke locality assumptions such as Markovianity or spatial locality. This work highlights the impact of such assumptions on predictive performance.
Martin T. Brolly
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Stochastic Parameterization of Moist Physics Using Probabilistic Diffusion Model
AtmosphereDeep-learning-based convection schemes have garnered significant attention for their notable improvements in simulating precipitation distribution and tropical convection in Earth system models.
Leyi Wang +4 more
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Stochastic parameterization: uncertainties from convection [PDF]
, 2011 In 2005, the ECMWF held a workshop on stochastic parameterisation, at which the convection was seen as being\ud a key issue. That much is clear from the working group reports and particularly the statement from working group\ud 1 that “it is clear that a stochastic convection scheme is desirable”. The present note aims to consider our current\ud status
Plant, R. S. +3 more
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Bringing Statistics to Storylines: Rare Event Sampling for Sudden, Transient Extreme Events
Journal of Advances in Modeling Earth SystemsA leading goal for climate science and weather risk management is to accurately model both the physics and statistics of extreme events. These two goals are fundamentally at odds: the higher a computational model's resolution, the more expensive are the ...
Justin Finkel, Paul A. O’Gorman
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Journal of Advances in Modeling Earth SystemsExtreme weather events epitomize high cost: to society through their physical impacts, and to computer servers that simulate them to assess risk and advance physical understanding.
Justin Finkel, Paul A. O’Gorman
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Parameterization of Copulas and Covariance Decay of Stochastic Processes
, 2012 In this work we study the problem of constructing stochastic processes with a predetermined covariance decay by parameterizing its marginals and a given family of copulas. We show that the proposed methodology is compatibility-free and present several examples to illustrate the theory, including the important Gaussian and Euclidean families of copulas.
Pumi, Guilherme, Lopes, Sílvia R. C.
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Stochastic NMPC of Batch Processes Using Parameterized Control Policies [PDF]
, 2018 Nonlinear model predictive control (NMPC) is an effective method for optimal operation of batch processes. Most dynamic models however contain significant uncertainties. It is therefore important to take these uncertainties into account in the formulation of the open-loop MPC problem to prevent infeasibilities or worse performance.
Eric Bradford, Lars Imsland
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Journal of Advances in Modeling Earth SystemsViscosity in the momentum equation is needed for numerical stability, as well as to arrest the direct cascade of enstrophy at grid scales. However, a viscous momentum closure tends to over‐dissipate eddy kinetic energy.
Ekaterina Bagaeva +3 more
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Abstract and Applied Analysis, 2014 In this paper, we consider the robust H∞ control problem for a class of discrete time-delay stochastic systems with randomly occurring nonlinearities. The parameter uncertainties enter all the system matrices; the stochastic disturbances are both state ...
Yamin Wang +3 more
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