Results 31 to 40 of about 7,980 (145)
Analysis of stochastically parameterized prestressed beams and frames
Engineering Structures, 2021 Abstract The stochastic behaviour of materials and loading is of great importance for buckling and analysis of prestressed beam and frame structures. In this paper, the stochastic stiffness and stress stiffness matrices are developed for stochastic analysis and buckling analysis.
Mikkel Løvenskjold Larsen +2 more
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Tellus: Series A, Dynamic Meteorology and Oceanography, 2018 For modelling geophysical systems, large-scale processes are described through a set of coarse-grained dynamical equations while small-scale processes are represented via parameterizations.
Manuel Pulido +4 more
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Inferring time-dependent calving dynamics at Helheim Glacier
Journal of Glaciology, 2023 We perform Bayesian inference of the parameters of a time-dependent model of ice flow and calving at Helheim Glacier, East Greenland. We find that, while a time-independent calving parameterization can recover the mean observed terminus position, such a ...
Jacob Downs +2 more
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Journal of Advances in Modeling Earth Systems, 2023 Cumulus parameterization (CP) in state‐of‐the‐art global climate models is based on the quasi‐equilibrium assumption (QEA), which views convection as the action of an ensemble of cumulus clouds, in a state of equilibrium with respect to a slowly varying ...
B. Khouider +3 more
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Stochastic Convection Parameterization with Markov Chains in an Intermediate-Complexity GCM [PDF]
Journal of the Atmospheric Sciences, 2016 Abstract Conditional Markov chain (CMC) models have proven to be promising building blocks for stochastic convection parameterizations. In this paper, it is demonstrated how two different CMC models can be used as mass flux closures in convection parameterizations.
J. Dorrestijn (Jesse) +4 more
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Journal of Advances in Modeling Earth Systems, 2023 We extend the previously developed stochastic unified convection scheme (UNICON) for shallow convection to deep convection by parameterizing the impact of mesoscale organized flow on updraft properties.
Jihoon Shin, Jong‐Jin Baik
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暴雨灾害, 2023 Because of the small disturbance energy of random parameter in the rainstorm convective-allowing ensemble forecast model, a convective-allowing ensemble forecasting test based on WRFv3.9 model was carried out for a heavy rainstorm case in the Yangtze ...
Jie XIONG, Jun LI, Minghuan WANG
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A stochastic LATIN method for stochastic and parameterized elastoplastic analysis
Computer Methods in Applied Mechanics and EngineeringThe LATIN method has been developed and successfully applied to a variety of deterministic problems, but few work has been developed for nonlinear stochastic problems. This paper presents a stochastic LATIN method to solve stochastic and/or parameterized elastoplastic problems.
Zhibao Zheng +2 more
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The Stochastic Parcel Model: A deterministic parameterization of stochastically entraining convection [PDF]
Journal of Advances in Modeling Earth Systems, 2016 AbstractConvective entrainment is a process that is poorly represented in existing convective parameterizations. By many estimates, convective entrainment is the leading source of error in global climate models. As a potential remedy, an Eulerian implementation of the Stochastic Parcel Model (SPM) is presented here as a convective parameterization that
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Toward a Stochastic Parameterization for Oceanic Deep Convection [PDF]
, 2023 AbstractCurrent climate models are known to systematically overestimate the rate of deep water formation at high latitudes in response to too deep and too frequent deep convection events. We propose in this study to investigate a misrepresentation of deep convection in Hydrostatic Primitive Equation (HPE) ocean and climate models due to the lack of ...
Jamet, Quentin +4 more
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