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Remote Sens. 2014, 6(5), 4133-4148; doi:10.3390/rs6054133
Article

A Non-MLE Approach for Satellite Scatterometer Wind Vector Retrievals in Tropical Cyclones

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Received: 3 July 2013; in revised form: 15 April 2014 / Accepted: 21 April 2014 / Published: 5 May 2014
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Abstract: Satellite microwave scatterometers are the principal source of global synoptic-scale ocean vector wind (OVW) measurements for a number of scientific and operational oceanic wind applications. However, for extreme wind events such as tropical cyclones, their performance is significantly degraded. This paper presents a novel OVW retrieval algorithm for tropical cyclones which improves the accuracy of scatterometer based ocean surface winds when compared to low-flying aircraft with in-situ and remotely sensed observations. Unlike the traditional maximum likelihood estimation (MLE) wind vector retrieval technique, this new approach sequentially estimates scalar wind directions and wind speeds. A detailed description of the algorithm is provided along with results for ten QuikSCAT hurricane overpasses (from 2003–2008) to evaluate the performance of the new algorithm. Results are compared with independent surface wind analyses from the National Oceanic and Atmospheric Administration (NOAA) Hurricane Research Division’s H*Wind surface analyses and with the corresponding SeaWinds Project’s L2B-12.5 km OVW products. They demonstrate that the proposed algorithm extends the SeaWinds capability to retrieve wind speeds beyond the current range of approximately 35 m/s (minimal hurricane category-1) with improved wind direction accuracy, making this new approach a potential candidate for current and future conically scanning scatterometer wind retrieval algorithms.
Keywords: SeaWinds; conical scanning; scatterometers; wind vector retrievals; MLE; tropical cyclones; H*Wind SeaWinds; conical scanning; scatterometers; wind vector retrievals; MLE; tropical cyclones; H*Wind
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Alsweiss, S.; Hanna, R.; Laupattarakasem, P.; Jones, W.L.; Hennon, C.C.; Chen, R. A Non-MLE Approach for Satellite Scatterometer Wind Vector Retrievals in Tropical Cyclones. Remote Sens. 2014, 6, 4133-4148.

AMA Style

Alsweiss S, Hanna R, Laupattarakasem P, Jones WL, Hennon CC, Chen R. A Non-MLE Approach for Satellite Scatterometer Wind Vector Retrievals in Tropical Cyclones. Remote Sensing. 2014; 6(5):4133-4148.

Chicago/Turabian Style

Alsweiss, Suleiman; Hanna, Rafik; Laupattarakasem, Peth; Jones, W. L.; Hennon, Christopher C.; Chen, Ruiyao. 2014. "A Non-MLE Approach for Satellite Scatterometer Wind Vector Retrievals in Tropical Cyclones." Remote Sens. 6, no. 5: 4133-4148.


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