Observed Scaling in Clouds and Precipitation and Scale Incognizance in Regional to Global Atmospheric Models
Observed Scaling in Clouds and Precipitation and Scale Incognizance in Regional to Global Atmospheric Models
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DOI：
10.1175/jcli-d-13-00005.1
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发表时间：
2013-11
影响因子：
4.9
通讯作者：
Travis A. O'Brien;Fuyu Li;William D Collins;S. Rauscher;T. Ringler;M. Taylor;Samson M. Hagos;L. R. Leung
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文献类型：
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作者：
Travis A. O'Brien;Fuyu Li;William D Collins;S. Rauscher;T. Ringler;M. Taylor;Samson M. Hagos;L. R. Leung
在云和降水的鲁棒缩放行为的观测是用来获得降水分区应如何改变模式分辨率的约束。分析表明，90%-99%的层状降水应该发生在当代气候模型可分辨的云中（例如，具有200 km或更细的网格间距）。此外，层状降水的这一分辨分数应随分辨率的增加而急剧增加，使得所有层状降水在~50 km的尺度上都是可分辨的。结果表明，社区大气模式（CAM）和天气研究和预报模式（WRF）也表现出强大的云和降水的缩放行为，是存在于观测，但层状降水的分辨率实际上随着模型分辨率的增加而减少。一系列具有多个动力学核心的实验提供了强有力的证据，证明这种“尺度不认识”的行为起源于CAM4粒子之一。
AbstractObservations of robust scaling behavior in clouds and precipitation are used to derive constraints on how partitioning of precipitation should change with model resolution. Analysis indicates that 90%–99% of stratiform precipitation should occur in clouds that are resolvable by contemporary climate models (e.g., with 200-km or finer grid spacing). Furthermore, this resolved fraction of stratiform precipitation should increase sharply with resolution, such that effectively all stratiform precipitation should be resolvable above scales of ~50 km. It is shown that the Community Atmosphere Model (CAM) and the Weather Research and Forecasting model (WRF) also exhibit the robust cloud and precipitation scaling behavior that is present in observations, yet the resolved fraction of stratiform precipitation actually decreases with increasing model resolution. A suite of experiments with multiple dynamical cores provides strong evidence that this “scale-incognizant” behavior originates in one of the CAM4 pa...