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- W2173632629 abstract "Abstract Physical processes in numerical modeling are currently handled by a dichotomy of either an explicit or a parameterization approach. Herein, an alternative approach is proposed, in which degrading explicit physics with decreasing resolutions are compensated by a “renormalization.” More specifically, a “renormalization” factor depending on the model resolution is multiplied on explicit evaluations so that the subgrid-scale contributions to a given grid scale are approximately recovered without a parameterization. The approach is analogous to the renormalization approach in statistical physics, but without rigorously relying on its mathematical basis. For this reason, this name is evoked with a quotation. In order to demonstrate this idea, the domain-mean vertical fluxes of heat, moisture, and momentum from cloud-resolving model experiments, corresponding to the grid-box averages in the large-scale modeling, are examined. In order to mimic the effects of degrading horizontal resolution, data are fil..." @default.
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- W2173632629 date "2003-08-01" @default.
- W2173632629 modified "2023-10-17" @default.
- W2173632629 title "“Renormalization” Approach for Subgrid-Scale Representations" @default.
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- W2173632629 doi "https://doi.org/10.1175/1520-0469(2003)060<2029:rafsr>2.0.co;2" @default.
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