Combined passive and active microwave retrieval of falling snow during the 2003 Wakasa Bay field experiment

B. T. Johnson, G. Skofronick-Jackson, G. Petty
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引用次数: 1

Abstract

The present research describes a novel snowfall retrieval algorithm using combined radar and radiometer observations of cold-cloud precipitation. The algorithm retrieves a 1-D vertical distribution of precipitation rate, particle size, particle density, and cloud liquid water content using aircraft-or satellite-based co-located dual-wavelength radar and passive microwave radiometer observations. The 2003 Wakasa Bay field experiment over the Sea of Japan provided high-resolution observations of snowfall using aircraft-based instruments compatible with the present technique. The dual-frequency APR-2 radar operated at 13.4 and 35.6 GHz, while the co-located the MIR radiometer made cross-track observed brightness temperatures at 89, 150, 220, 183.3plusmn1, 183.3plusmn3, 183.3plusmn7, 220 and 340 GHz. The techniques described here are being developed with an eye toward the upcoming Global Precipitation Measurement Mission (GPM). Parameterizations based on these retrievals are already being used to identify and communicate the key characteristics of cold-cloud precipitation to the larger remote sensing and climate modeling community.
2003年若坂湾野外试验中降雪量的被动与主动微波联合反演
本文提出了一种利用冷云降水雷达和辐射计观测相结合的降雪检索算法。该算法利用飞机或卫星同步定位的双波长雷达和被动微波辐射计观测数据,检索降水率、颗粒大小、颗粒密度和云液态水含量的一维垂直分布。2003年在日本海上空进行的若狭湾野外试验使用与当前技术兼容的机载仪器提供了高分辨率的降雪观测。双频APR-2雷达工作频率分别为13.4和35.6 GHz,而同位置的MIR辐射计则在89、150、220、183.3plusmn1、183.3plusmn3、183.3plusmn7、220和340 GHz进行了交叉径迹观测。这里描述的技术是为了即将到来的全球降水测量任务(GPM)而开发的。基于这些检索的参数化已经被用于识别和向更大的遥感和气候模拟社区传达冷云降水的关键特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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