Abstract. The Cloud Profiling Radar (CPR) on the Earth Clouds, Aerosol, and Radiation Explorer (EarthCARE) satellite is the first satellite-borne Doppler radar (EC-CPR). In our previous study, we examined the effects of horizontal (along-track) integration and simple unfolding methods on the reduction of Doppler errors in the EC-CPR observations, and those effects were evaluated using two limited scenes in limited latitude and low pulse repetition frequency (PRF) settings. In this study, the amount of data used was significantly increased, and the area of the data used was extended globally. Not only low PRF but also high PRF settings were examined. We calculated the EC-CPR-observed Doppler velocity from pulse-pair covariances using the radar reflectivity factor and Doppler velocity obtained from a satellite data simulator and a global storm-resolving simulation. The global data were divided into five latitudinal zones, and mean Doppler errors for 5 dBZ_e after 10 km integration were calculated. In the case of low PRF setting, the error without unfolding correction for the tropics reached a maximum of 2.2 m s^-1 and then decreased toward the poles (0.43 m s^-1). The error with unfolding correction for the tropics became much smaller at 0.63 m s^-1. In the case of high PRF setting, the error without unfolding correction for the tropics reached a maximum of 0.78 m s^-1 and then decreased toward the poles (0.19 m s^-1). The error with unfolding correction for the tropics was 0.29 m s^-1, less than half the value without the correction. The results of the analyses of the simulated data indicated that the zonal mean frequency of precipitation echoes was highest in the tropics and decreased toward the poles. Considering a limitation of the unfolding correction for discrimination between large upward velocity and large precipitation falling velocity, the latitudinal variation of the Doppler error can be explained by the precipitation echo distribution.

中文翻译：

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使用全球风暴分辨模拟对 EarthCARE 云剖面雷达的多普勒速度误差进行全球评估

摘要。地球云、气溶胶和辐射探测器 (EarthCARE) 卫星上的云剖面雷达 (CPR) 是第一个星载多普勒雷达 (EC-CPR)。在我们之前的研究中，我们检查了水平（沿轨道）集成和简单展开方法对减少 EC-CPR 观察中的多普勒误差的影响，并使用有限纬度和低脉冲重复的两个有限场景评估了这些影响频率（PRF）设置。在这项研究中，使用的数据量显着增加，并且使用的数据区域在全球范围内扩展。不仅检查了低 PRF，还检查了高 PRF 设置。我们使用从卫星数据模拟器和全球风暴分辨模拟获得的雷达反射率因子和多普勒速度，从脉冲对协方差计算了 EC-CPR 观测到的多普勒速度。全球数据分为五个纬度区域，平均多普勒误差为 5 dBZ计算 10 公里积分后的_{e 。}在低 PRF 设置的情况下，没有展开校正的热带误差达到最大值 2.2 ms ^-1，然后向两极减小（0.43 ms ^-1）。^{热带展开校正的误差在 0.63 ms -1}时变得小得多。在高 PRF 设置的情况下，没有展开校正的热带误差达到最大值 0.78 ms ^-1，然后向两极减小（0.19 ms ^-1）。热带展开校正的误差为 0.29 ms ^-1, 小于未经校正值的一半。模拟数据的分析结果表明，降水回波的纬向平均频率在热带最高，向两极降低。考虑到展开校正在区分大上升速度和大降水下降速度方面的局限性，多普勒误差的纬度变化可以用降水回波分布来解释。