Improving the Quikscat Derived Winds Near the Coast

• Published in: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
• Main Authors: Grieco, Giuseppe, Portabella, Marcos, Stoffelen, Ad, Vogelzang, J., Verhoef, Anton
• Other Authors: Ministerio de Ciencia, Innovación y Universidades (España)
• Format: Book Part
• Language: English
• Published: Institute of Electrical and Electronics Engineers 2022
• Subjects: Sea ice
• Online Access: http://hdl.handle.net/10261/286110; https://doi.org/10.1109/IGARSS46834.2022.9884598

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 17-22 July 2022, Kuala Lumpur, Malaysia.-- © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-- 4 pages, 3 figures 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 ( σ0 ) noise. Moreover, it shows a simple method for selecting the best-suited σ0 domain to implement a Land Contribution Ratio (LCR) based σ0 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 σ0 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 σ0 correction scheme is now being tested and developed in the linear domain This work was supported by the EUMETSAT Ocean & Sea Ice Satellite Application Facilities (OSI-SAF) Visiting Scientist projects VS20 01, VS20 03 and VS21 03 and by the Spanish R&D Plan through the Project L-BAND (reference ESP2017-89463-C3-1-R) Peer reviewed