Coarse-grained stochastic models for tropical convection and climate
Coarse-grained stochastic models for tropical convection and climate
复制标题
热带对流和气候的粗粒度随机模型
DOI：
10.1073/pnas.1634951100
复制
发表时间：
2003
影响因子：
11.1
通讯作者：
M. Katsoulakis
中科院分区：
文献类型：
--
作者：
B. Khouider;A. Majda;M. Katsoulakis
本文发展了与热带对流未解特征相互作用的粗粒度随机参数化法。这些粗粒度随机参数化用低计算开销系统地派生/死亡过程，允许粗粒度动力变量与较小尺度的未分辨涨落的直接相互作用。在这里建立了一个理想的气候原型情景，在适当的区域，这些粗粒度的随机参数化可以显著地影响气候学，并强烈地增加关于理想气候学的波动。
Prototype coarse-grained stochastic parametrizations for the interaction with unresolved features of tropical convection are developed here. These coarse-grained stochastic parametrizations involve systematically derived birth/death processes with low computational overhead that allow for direct interaction of the coarse-grained dynamical variables with the smaller-scale unresolved fluctuations. It is established here for an idealized prototype climate scenario that, in suitable regimes, these coarse-grained stochastic parametrizations can significantly impact the climatology as well as strongly increase the wave fluctuations about an idealized climatology.