This article presents a novel ocean vector wind (OVW) retrieval algorithm for remote sensing of ocean winds, using the precipitation radar (PR) and tropical rainfall measurement mission (TRMM) microwave imager (TMI) that operated for >17 years on the TRMM observatory. In this study, the wind speed and anisotropic wind direction (WD) characteristics of the ocean backscatter and brightness temperature (Tb) were empirically characterized to produce geophysical model functions for 49 PR beam positions and three TMI frequency channels (10, 19, and 37 GHz). For passive TMI measurements, the modified second stokes parameter (weighted difference of V and H-pol Tb's) was used to cancel the atmosphere contribution, which enhances the WD signal. Thus, combining linearly polarized Tb measurements with the anisotropic backscatter signature of the Ku-band PR, the feasibility of retrieving ocean surface wind vector is demonstrated. The OVW retrieval algorithm is validated by comparing retrievals with collocated numerical weather models wind vectors, and the statistics of OVW retrieval accuracy is presented.

中文翻译：

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使用新颖的主动/被动组合算法从 TRMM 中检索海洋矢量风

本文使用在 TRMM 天文台运行超过 17 年的降水雷达 (PR) 和热带降雨测量任务 (TRMM) 微波成像仪 (TMI)，提出了一种用于海洋风遥感的新型海洋矢量风 (OVW) 反演算法。 . 在这项研究中，通过经验表征海洋后向散射和亮温 (Tb) 的风速和各向异性风向 (WD) 特性，为 49 个 PR 波束位置和三个 TMI 频道（10、19 和 37 GHz）。对于被动 TMI 测量，修改后的第二斯托克斯参数（V 和 H-pol Tb 的加权差异）用于抵消大气贡献，从而增强 WD 信号。因此，将线性极化 Tb 测量值与 Ku 波段 PR 的各向异性反向散射特征相结合，证明了检索海面风矢量的可行性。通过与配置的数值天气模型风向量进行比较，验证了OVW检索算法，并给出了OVW检索精度的统计数据。