This study presents the implementation of a procedure to mitigate land con- tamination that affects the acquisition of the Seawinds pencil beam scat- terometer. This procedure is named noise regularization because, after it is applied, the level of noise of the corrected acquisitions is constant. The effects of noise regularization are evaluated both at Normalized Radar Cross Section (σ0 ), and wind retrieval levels. The results show that this methodol- ogy is effective in mitigating land contamination and that coastal sampling increases by 30% in the coastal band within 30 km to the coast, compared to the state-of-the-art retrieval procedure implemented at OSI-SAF. This figure increases to 300% in the first 10 km. The results also show that there is room for improvement if wind retrieval quality control is refined. The study also shows the implementation of a more efficient software for the calculation of the Land Contribution Ratio (f ) index.
Set-up of PenWP for SeaWinds-derived coastal winds
G. Grieco;
2022
Abstract
This study presents the implementation of a procedure to mitigate land con- tamination that affects the acquisition of the Seawinds pencil beam scat- terometer. This procedure is named noise regularization because, after it is applied, the level of noise of the corrected acquisitions is constant. The effects of noise regularization are evaluated both at Normalized Radar Cross Section (σ0 ), and wind retrieval levels. The results show that this methodol- ogy is effective in mitigating land contamination and that coastal sampling increases by 30% in the coastal band within 30 km to the coast, compared to the state-of-the-art retrieval procedure implemented at OSI-SAF. This figure increases to 300% in the first 10 km. The results also show that there is room for improvement if wind retrieval quality control is refined. The study also shows the implementation of a more efficient software for the calculation of the Land Contribution Ratio (f ) index.File | Dimensione | Formato | |
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