Simulation of remote sensing of clouds and humidity from space using a combined platform of radar and multi-frequency microwave radiometers
Simulation of remote sensing of clouds and humidity from space using a combined platform of radar and multi-frequency microwave radiometers
复制标题
利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
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
P. Kangaslahti
中科院分区：
文献类型：
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作者：
Jonathan H. Jiang;H. Su;Q. Yue;P. Kangaslahti
<p>我们提出了一个模拟的同时检索的质量平均云冰粒子有效直径，冰水含量，水蒸气和温度分布使用的94 GHz的云雷达和多频（118，183，240，310，380，664和850 GHz）毫米波和亚毫米波辐射计从空间平台的组合。结合雷达和微波辐射计的检索能力和不确定性进行量化。我们表明，这种结合主动和被动遥感方法与SmallSat技术解决了目前最先进的遥感测量冰云属性的差距，特别是推导出垂直剖面的冰云颗粒大小在大气中与周围的热力学条件。因此，这种新方法可以作为未来任务的一个合理候选，这些任务针对云和降水过程，以改善天气预报和气候预测。 </p>
<p>We present 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 multi-frequency (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.  </p>