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Characteristics of Cloud Size of Deep Convection Simulated by a Global Cloud Resolving Model over the Western Tropical Pacific

机译:全球热带云解析模型模拟的热带西太平洋深对流云规模特征

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Cloud horizontal size distributions of cloud clusters were analyzed for global cloud resolving simulations with the global nonhydrostatic model NICAM whose mesh interval is about 3.5 km and 7 km. The 3.5 km-mesh simulation was performed for 7 days starting at 00 UTC 25 Dec 2006 by giving an initial condition of reanalysis data, while the 7 km-mesh simulation was run for 32 days from 00 UTC 15 Dec 2006. We used outgoing long-wave radiation (OLR) simulated by NICAM to calculate size distributions of deep convection, and compared them with those analyzed using equivalent blackbody temperature (TBB) of the infrared channel of 11 µm of the Japanese geostationary meteorological satellite (MTSAT-1R). We selected two threshold temperatures, 208 K and 253 K, to identify deep convective areas including anvil cloud. Specifically, we call clouds defined by the 208 K-threshold “deeper” convective clouds. Over the tropical region covering the maritime continent and the western tropical Pacific (10S-10N, 90E-160W), we examined the size of cloud areas defined by the two BB threshold values and corresponding threshold values of OLR of 90 W m-2 and 210 W m-2, which were chosen by comparing cumulative histograms of BB and OLR in this region.Resolution dependency by NICAM shows that the overall cloud size distribution of the 3.5 km-mesh simulation is much closer to that of the MTSAT-1R observation than that of the 7 km-mesh simulation. Size distributions of deep convection in both simulations indicate nearly lognormal as is seen in the MTSAT-1R observations. The 3.5 km-mesh simulation shows slightly less frequency than the MTSATR observation for smaller size of deeper convection, and it does not reproduce very large clouds. When comparing cloud characteristics over land and ocean, simulated cloud size statistics are slightly closer to the MT-SAT-1R observation in the maritime continent region (westward of 160E) than in the open ocean region (eastward of 160E). A comparison of temporal variation of cloud area shows that the 3.5 km-mesh simulation captures clear signals of diurnal cycles over the maritime continent, together with amplification associated with the Madden-Julian Oscillation (MJO) event. Morning and afternoon difference of convective activity over a large island within the maritime continent is also simulated by 3.5 km-mesh simulation.When one uses a global cloud resolving model for climate studies, the analysis of cloud size distributions gives another dimension to improve the cloud properties of simulations. It is not only relevant to realistic representations of deep convection, but is also useful for improving the radiation budget of global cloud resolving simulations.
机译:使用全局非静水模型NICAM(其网格间隔分别为3.5 km和7 km)分析了云团的云水平尺寸分布,以进行全球云解析模拟。通过提供重新分析数据的初始条件,从2006年12月25日00 UTC开始进行了3.5 km的网格模拟,为期7天,而从2006年12月15日00 UTC进行了7 km的网格模拟,进行了3​​2天。用NICAM模拟深海辐射(OLR)来计算深对流的尺寸分布,并将其与使用日本地球静止气象卫星(MTSAT-1R)11 µm红外通道的等效黑体温度(TBB)进行分析的结果进行比较。我们选择了两个阈值温度208 K和253 K,以识别包括铁砧云在内的深对流区域。具体来说,我们将由208 K阈值定义的对流云称为“更深”。在覆盖海洋大陆和西部热带太平洋的热带地区(10S-10N,90E-160W),我们检查了由两个BB阈值和相应的OLR阈值90 W m-2和通过比较该地区BB和OLR的累积直方图选择了210 W m-2.NICAM对分辨率的依赖性表明,3.5 km网眼模拟的总体云团尺寸分布与MTSAT-1R观测值更接近比7 km网眼模拟的在两次模拟中,深对流的尺寸分布都表明接近对数正态分布,如MTSAT-1R观测所见。 3.5 km网格模拟显示的频率比MTSATR观测到的频率略小,这是因为较小的深度对流较小,并且它不会复制很大的云。在比较陆地和海洋的云特征时,模拟的云大小统计数字在海洋大陆地区(160E以西)比在公海区域(160E以东)更接近MT-SAT-1R观测。对云区时间变化的比较表明,3.5 km的网格模拟捕获了海洋大陆上昼夜周期的清晰信号,以及与Madden-Julian涛动(MJO)事件相关的放大。还通过3.5 km网格模拟来模拟海洋大陆上一个大岛上对流活动的早晨和下午差异。当使用全球云解析模型进行气候研究时,对云团大小分布的分析为改善云团提供了另一个维度模拟的属性。它不仅与深度对流的逼真的表示有关,而且对于改善全球云解析模拟的辐射预算也很有用。

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