Simulation of Remote Sensing of Clouds and Humidity From Space Using a Combined Platform of Radar and Multifrequency Microwave Radiometers
Simulation of Remote Sensing of Clouds and Humidity From Space Using a Combined Platform of Radar and Multifrequency Microwave Radiometers
复制标题
使用雷达和多频微波辐射计组合平台模拟空间云和湿度遥感
作者：
Jonathan H. Jiang;Q. Yue;H. Su;P. Kangaslahti;M. Lebsock;S. Reising;M. Schoeberl;Longtao Wu;R. Herman
这项研究使用94 GHz云雷达和空间平台上的多频(118、183、240、310、380、664和850 GHz)毫米波和亚毫米波辐射计，模拟同时反演质量平均云冰粒子有效直径、冰水含量、水汽和温度分布。对雷达和微波联合辐射计的反演能力和不确定度进行了量化。我们表明，这种主动和被动遥感方法与小卫星技术相结合，解决了当前最先进的冰云特性遥感测量中的一个空白，特别是得出了大气中冰云颗粒大小的垂直剖面以及环境热力学条件。因此，这一新方法可以作为未来针对云和降水过程以改进天气预报和气候预报的任务的合理候选者。
This study presents a simulated simultaneous retrieval of mass mean cloud ice particle effective diameter, ice water content, water vapor, and temperature profiles using a combination of a 94‐GHz cloud radar and multifrequency (118, 183, 240, 310, 380, 664, and 850 GHz) millimeter‐ and submillimeter‐wave radiometers from a space platform. The retrieval capabilities and uncertainties of the combined radar and microwave radiometers are quantified. We show that this combined active and passive remote sensing approach with SmallSat technologies addresses a gap in the current state‐of‐the‐art remote sensing measurements of ice cloud properties, especially deriving vertical profiles of ice cloud particle sizes in the atmosphere together with the ambient thermodynamic conditions. Therefore, this new approach can serve as a plausible candidate for future missions that target cloud and precipitation processes to improve weather forecasts and climate predictions.