Life Cycle of Precipitating Cloud Systems from Synergistic Satellite Observations: Evolution of Macrophysical Properties and Precipitation Statistics from Geostationary Cloud tracking and GPM Active and Passive Microwave Measurements

C. Guilloteau, E. Foufoula‐Georgiou
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Abstract

Observations of clouds and precipitation in the microwave domain from the active radar (DPR) and the passive imager (GMI) onboard the GPM Core Observatory satellite are used in synergy with cloud tracking information derived from infrared imagery from the GOES-13 and Meteosat-7 geostationary satellites for analysis of the life cycle of precipitating cloud systems, in terms of temporal evolution of their macro-physical characteristics, in several oceanic and continental regions of the Tropics. The life cycle of each one of the several hundred thousand cloud systems tracked during the two-year (2015-2016) analysis period is divided into five equal-duration stages between initiation and dissipation. The average cloud size, precipitation intensity, precipitation top height, and convective and stratiform precipitating fractions are documented at each stage of the life cycle for different cloud categories (based upon lifetime duration). The average life cycle dynamics is found remarkably homogeneous across the different regions and is consistent with previous studies: systems peak in size around mid-life; precipitation intensity and convective fraction tend to decrease continuously from the initiation stage to the dissipation. Over the three continental regions, Amazonia, Central Africa and Sahel, at the early stages of clouds‘ life cycle, precipitation estimates from the passive GMI instrument are systematically found to be 15 to 40% lower than active radar estimates. By highlighting stage-dependent biases in state-of-the-art passive microwave precipitation estimates over land we demonstrate the potential usefulness of cloud tracking information for improving retrievals, and suggest new directions for the synergistic use of geostationary and low-Earth-orbit satellite observations.
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从协同卫星观测中了解降水云系的生命周期:地球静止云跟踪和 GPM 主动与被动微波测量的宏观物理特性和降水统计的演变
利用 GPM 核心观测站卫星上的有源雷达(DPR)和无源成像仪(GMI)在微波域对云和降水的观测数据,与 GOES-13 和 Meteosat-7 地球静止卫星红外图像生成的云跟踪信息协同,从宏观物理特征的时间演变角度分析了热带几个海洋和大陆地区降水云系统的生命周期。在两年(2015-2016 年)分析期间跟踪的几十万个云系统中,每个云系统的生命周期分为从开始到消散的五个等长阶段。记录了不同云类别(基于生命周期持续时间)在生命周期每个阶段的平均云大小、降水强度、降水顶高以及对流和层状降水分量。发现不同地区的平均生命周期动态非常相似,并且与之前的研究一致:系统的大小在生命中期左右达到顶峰;降水强度和对流部分从开始阶段到消散阶段呈持续下降趋势。在亚马孙、中非和萨赫勒这三个大陆地区,在云生命周期的早期阶段,被动全球监测仪的降水估计值系统地比主动雷达估计值低 15% 到 40%。通过强调陆地上最先进的被动微波降水估算值的阶段性偏差,我们证明了云层跟踪信息对改进检索的潜在作用,并为地球静止轨道和低地球轨道卫星观测的协同使用提出了新的方向。
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