首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Characterization of ice cloud properties obtained by shipborne radar/lidar over the tropical western Pacific Ocean for evaluation of an atmospheric general circulation model
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Characterization of ice cloud properties obtained by shipborne radar/lidar over the tropical western Pacific Ocean for evaluation of an atmospheric general circulation model

机译:航空雷达/激光雷达在热带西太平洋上空获得的冰云特性的表征,用于评估大气总循环模型

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This study analyzed 95-GHz radar/lidar data collected from the R/V Mirai over the tropical western Pacific to characterize the vertical distribution of' ice cloud effective radius rep ice water content IWC, and in-cloud vertical velocity of the region in conjunction with weather regimes classified by International Satellite Cloud Climatology Project (ISCCP) cluster analysis. Ice clouds observed from the Mirai were roughly consistent with the ISCCP weather regimes; more convectively active regimes had larger amounts of high cloud consisting of deeper cloud with larger ice water path (IWP) and precipitating ice fraction. Ice cloud microphysics of the Center for Climate System Research, National Institute for Environmental Studies, Frontier Research Center for Global Change atmospheric general circulation model (AGCM) was then evaluated using the radar-lidar simulator and ISCCP weather regimes for comparison of the statistics at different scales. The model tended to produce a high cloud fraction that was two times larger in the cirrus regimes but 50% lower in the deepest convective regime. The simulated IWP could only weakly reproduce the observed variety and generally underestimated the observed values despite the weather regimes. Cutoff in the simulated grid mean IWC around 0.1 g~(-3) was too small, especially above 11 km. The AGCM successfully predicted the observed frequency distribution for r_(eff) above 11km, but produced large overestimation in the peak value below 11 km due to the excessively large fraction of r_(eff) -100 μm. Establishing a cutoff for cloud ice at r_(eff) > 120 μm was found to be quite reasonable, although it would miss some of the larger particles that were observed.
机译:这项研究分析了从R / V Mirai在热带西太平洋上收集到的95 GHz雷达/激光雷达数据,以表征冰云的有效半径和冰水含量IWC的垂直分布,以及该区域的云内垂直速度。根据国际卫星云气候项目(ISCCP)聚类分析归类的天气状况。从Mirai观测到的冰云大致与ISCCP天气状况一致;较活跃的对流区域有大量的高云,包括具有较大冰水路径(IWP)和降水冰分的深云。然后使用雷达激光雷达模拟器和ISCCP天气制度评估了美国国家环境研究所气候系统研究中心,全球变化前沿研究中心大气总循环模型(AGCM)的冰云微观物理学,以便比较不同情况下的统计数据秤。该模型趋向于产生高云量,在卷云状态下高两倍,而在最深对流​​状态下低50%。尽管天气状况良好,但模拟的IWP只能微弱地再现观测到的品种,并且通常低估了观测值。模拟网格的平均IWC约为0.1 g〜(-3)的截止值太小,尤其是在11 km以上。 AGCM成功地预测了11 km以上的r_(eff)的观察到的频率分布,但是由于r_(eff)-100μm的比例过大,导致11 km以下的峰值产生了高估。建立r_(eff)> 120μm的云冰临界值是很合理的,尽管它会遗漏一些观察到的较大颗粒。

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