학술논문
Improving the Quikscat Derived Winds Near the Coast
Document Type
Conference
Source
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2022 - 2022 IEEE International. :6919-6922 Jul, 2022
Subject
Language
ISSN
2153-7003
Abstract
This paper describes some preliminary steps to improve the coastal winds retrieved from the Seawinds scatterometer on-board the QuikSCAT satellite platform. In particular, it describes a method for estimating the slice Normalized Radar Cross Section ($\sigma_{0}$) noise. Moreover, it shows a simple method for selecting the best-suited $\sigma_{0}$ domain to implement a Land Contribution Ratio (LCR) based $\sigma_{0}$ correction scheme. The preliminary results suggest that there are some non-negligible differences between the open sea and the “every kind of surface” noise characteristics, even if such differences are not reported in the QuikSCAT files. The intra-egg $\sigma_{0}$ biases may amount to approximately ±0.6 dB for H-Pol acquisitions and half that for V-Pol, but the impact on the noise estimation amounts to less than 2%. Finally, the LCR-based $\sigma_{0}$ correction scheme is now being tested and developed in the linear domain.