The sensitivity of convective aggregation to diabatic processes in idealized radiative-convective equilibrium simulations
The sensitivity of convective aggregation to diabatic processes in idealized radiative-convective equilibrium simulations
复制标题
理想化辐射对流平衡模拟中对流聚集对非绝热过程的敏感性
DOI:
10.1002/2015ms000511
复制
发表时间:
2016
影响因子:
6.8
通讯作者:
Holloway C
中科院分区:
文献类型:
--
作者:
Holloway C
Idealized explicit convection simulations of the Met Office Unified Model exhibit spontaneous self‐aggregation in radiative‐convective equilibrium, as seen in other models in previous studies. This self‐aggregation is linked to feedbacks between radiation, surface fluxes, and convection, and the organization is intimately related to the evolution of the column water vapor field. Analysis of the budget of the spatial variance of column‐integrated frozen moist static energy (MSE), following Wing and Emanuel (2014), reveals that the direct radiative feedback (including significant cloud longwave effects) is dominant in both the initial development of self‐aggregation and the maintenance of an aggregated state. A low‐level circulation at intermediate stages of aggregation does appear to transport MSE from drier to moister regions, but this circulation is mostly balanced by other advective effects of opposite sign and is forced by horizontal anomalies of convective heating (not radiation). Sensitivity studies with either fixed prescribed radiative cooling, fixed prescribed surface fluxes, or both do not show full self‐aggregation from homogeneous initial conditions, though fixed surface fluxes do not disaggregate an initialized aggregated state. A sensitivity study in which rain evaporation is turned off shows more rapid self‐aggregation, while a run with this change plus fixed radiative cooling still shows strong self‐aggregation, supporting a “moisture‐memory” effect found in Muller and Bony (2015). Interestingly, self‐aggregation occurs even in simulations with sea surface temperatures (SSTs) of 295 and 290 K, with direct radiative feedbacks dominating the budget of MSE variance, in contrast to results in some previous studies.