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Oct 7, 2020 · Abstract:In this study we investigate a data-driven stochastic methodology to parameterize small-scale features in a prototype multiscale ...
In this study we investigate a data-driven stochastic methodology to parametrize small-scale features in a prototype multiscale dynamical system, the Lorenz.
Missing: parameterization | Show results with:parameterization
This study investigates a data-driven stochastic methodology to parameterize small-scale features in a prototype multiscale dynamical system, the Lorenz '96 ...
Sep 13, 2024 · In this study we investigate a data-driven stochastic methodology to parameterize small-scale features in a prototype multiscale dynamical ...
In this study we investigate a data-driven stochastic methodology to parameterize small-scale features in a prototype multiscale dynamical system, ...
Oct 22, 2024 · A new approach is proposed for stochastic parameterization of subgrid-scale processes in models of atmospheric or oceanic circulation. The ...
Stochastic parameterization with VARX processes ... We show through various statistical criteria that the proposed VARX performs very well for the unimodal ...
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Feb 18, 2020 · A stochastic parameterization represents the probability distribution of possible subgrid scale tendencies conditioned on the large scale.
Missing: VARX | Show results with:VARX
Stochastic subgrid-scale parameterizations of SBL processes have been proposed to account for the missing variability in the SBL and improve both climate ...
In this paper, we focus on process-level stochastic perturbations to improve the representation of convec- tive initiation in kilometer-scale models. In the ...