The improved parameterization of unresolved features of tropical convection is a central challenge in current computer models for long-range ensemble forecasting of weather and short-term climate change. Observations, theory, and detailed smaller-scale numerical simulations suggest that convective momentum transport (CMT) from the unresolved scales to the resolved scales is one of the major deficiencies in contemporary computer models. Here, a combination of mathematical and physical reasoning is utilized to build simple stochastic models that capture the significant intermittent upscale transports of CMT on the large scales due to organized unresolved convection from squall lines. Properties of the stochastic model for CMT are developed below in a test column model environment for the large-scale variables. The effects of CMT from the stochastic model on a large-scale convectively coupled wave in an idealized setting are presented below as a nontrivial test problem. Here, the upscale transports from stochastic effects are significant and even generate a large-scale mean flow which can interact with the convectively coupled wave.
机构:
Nanjing Univ Informat Sci & Technol, Earth Syst Modeling Ctr, Nanjing 410042, Jiangsu, Peoples R China
Nanjing Univ Informat Sci & Technol, Climate Dynam Res Ctr, Nanjing 410042, Jiangsu, Peoples R ChinaNanjing Univ Informat Sci & Technol, Earth Syst Modeling Ctr, Nanjing 410042, Jiangsu, Peoples R China
Liu, Fei
Wang, Bin
论文数: 0引用数: 0
h-index: 0
机构:
Univ Hawaii Manoa, Int Pacific Res Ctr, Honolulu, HI 96822 USA
Univ Hawaii Manoa, Dept Meteorol, Honolulu, HI 96822 USANanjing Univ Informat Sci & Technol, Earth Syst Modeling Ctr, Nanjing 410042, Jiangsu, Peoples R China
Wang, Bin
Kang, In-Sik
论文数: 0引用数: 0
h-index: 0
机构:
Seoul Natl Univ, Sch Earth & Environm Sci, Seoul, South KoreaNanjing Univ Informat Sci & Technol, Earth Syst Modeling Ctr, Nanjing 410042, Jiangsu, Peoples R China