@inproceedings{e03cf706a0e04ebd9f471a25191d113b,
title = "Estimation of maximum hurricane wind speed using simulated CYGNSS measurements",
abstract = "A hurricane maximum wind retrieval experiment is conducted using CYGNSS (Cyclone Global Navigation Satellite System) tracks simulated over a series of tropical cyclone scenes from the Hurricane Weather Research and Forecasting model (HWRF). This experiment makes use of a forward model relating simulated CYGNSS power-vs-delay waveforms to hurricane maximum winds. The forward model uses synthetic Willoughby modeled storms as 'truth' data. 1148 HWRF storm scenes from the 2010-11 hurricane seasons, from both the Atlantic and Eastern pacific basins, are used as input wind field to the forward model. Retrieved maximum winds are compared to both NHC best-track and HWRF. Results show a definite potential in using the CYGNSS data in retrieving hurricane maximum winds, although the current retrieval performance is hindered due to the symmetrical nature of the modeled Willoughby storms.",
author = "Faozi Said and Seubson Soisuvarn and Steve Katzberg and Zorana Jelenak and Chang, \{Paul S.\}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 ; Conference date: 26-07-2015 Through 31-07-2015",
year = "2015",
month = nov,
day = "10",
doi = "10.1109/IGARSS.2015.7326986",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5123--5126",
booktitle = "2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings",
address = "United States",
}