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Assessment of Saildrone Extreme Wind Measurements in Hurricane Sam Using MW Satellite Sensors

Authors :
Lucrezia Ricciardulli
Gregory R. Foltz
Andrew Manaster
Thomas Meissner
Source :
Remote Sensing, Vol 14, Iss 12, p 2726 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

In 2021, a novel NOAA-Saildrone project deployed five uncrewed surface vehicle Saildrones (SDs) to monitor regions of the Atlantic Ocean and Caribbean Sea frequented by tropical cyclones. One of the SDs, SD-1045, crossed Hurricane Sam (Category 4) on September 30, providing the first-ever surface-ocean videos of conditions in the core of a major hurricane and reporting near-surface winds as high as 40 m/s. Here, we present a comprehensive analysis and interpretation of the Saildrone ocean surface wind measurements in Hurricane Sam, using the following datasets for direct and indirect comparisons: an NDBC buoy in the path of the storm, radiometer tropical cyclone (TC) winds from SMAP and AMSR2, wind retrievals from the ASCAT scatterometers and SAR (RadarSat2), and HWRF model winds. The SD winds show excellent consistency with the satellite observations and a remarkable ability to detect the strength of the winds at the SD location. We use the HWRF model and satellite data to perform cross-comparisons of the SD with the buoy, which sampled different relative locations within the storm. Finally, we review the collective consistency among these measurements by describing the uncertainty of each wind dataset and discussing potential sources of systematic errors, such as the impact of extreme conditions on the SD measurements and uncertainties in the methodology.

Details

Language :
English
ISSN :
20724292
Volume :
14
Issue :
12
Database :
Directory of Open Access Journals
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.5b98b49bbe804b368a8950f7fe2c07d6
Document Type :
article
Full Text :
https://doi.org/10.3390/rs14122726