Results 41 to 50 of about 7,980 (145)
Journal of Medical Internet Research, 2020 BackgroundCompartmental models dominate epidemic modeling. Transmission parameters between compartments are typically estimated through stochastic parameterization processes that depends on detailed statistics of transmission characteristics, which are ...
Deng, Qi
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Global Simulation of the Madden–Julian Oscillation With Stochastic Unified Convection Scheme
Journal of Advances in Modeling Earth Systems, 2023 A new spectral convection scheme, the stochastic unified convection scheme (stochastic UNICON), is implemented in a general circulation model. The global climate simulation using stochastic UNICON is evaluated and compared with UNICON, focusing on the ...
Jihoon Shin, Jong‐Jin Baik
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A Simple Stochastic Parameterization for Reduced Models of Multiscale Dynamics [PDF]
Fluids, 2015 Multiscale dynamics are frequently present in real-world processes, such as the atmosphere-ocean and climate science. Because of time scale separation between a small set of slowly evolving variables and much larger set of rapidly changing variables, direct numerical simulations of such systems are difficult to carry out due to many dynamical variables
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Stochastic Parameterization to Represent Variability and Extremes in Climate Modeling
Procedia Computer Science, 2014 AbstractUnresolved sub-grid processes, those which are too small or dissipate too quickly to be captured within a model's spatial resolution, are not adequately parameterized by conventional numerical climate models. Sub-grid heterogeneity is lost in parameterizations that quantify only the ‘bulk effect’ of sub-grid dynamics on the resolved scales.
Roisin Langan +9 more
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Earth and Space Science, 2021 Stochastic parameterizations are continuously providing promising simulations of unresolved atmospheric processes for global climate models (GCMs). One of the stochastic multi‐cloud model (SMCM) features is to mimic the life cycle of the three most ...
Kumar Roy +4 more
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Monthly Weather Review, 2008 Abstract In this paper it is argued that ensemble prediction systems can be devised in such a way that physical parameterizations of subgrid-scale motions are utilized in a stochastic manner, rather than in a deterministic way as is typically done.
João Paulo Teixeira +1 more
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A Stochastic Approach for Parameterizing Unresolved Scales in a System with Memory
Journal of Algorithms & Computational Technology, 2009 Complex systems display variability over a broad range of spatial and temporal scales. Some scales are unresolved due to computational limitations. The impact of these unresolved scales on the resolved scales needs to be parameterized or taken into ...
Aijun Du, Jinqiao Duan
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Stochastic Methods and Complexity Science in Climate Research and Modeling
Frontiers in Physics, 2022 The 2021 Nobel prize for physics was awarded to two climate scientists, Syukuro Manabe and Klaus Hasselmann, and the physicist Giorgio Parisi. While at first sight the work of Parisi seems not to be related to climate science, this is not the case ...
Christian L. E. Franzke +4 more
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Scientific Reports, 2023 Porous biomaterials design for bone repair is still largely limited to regular structures (e.g. rod-based lattices), due to their easy parameterization and high controllability.
Zhuo Wang +3 more
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