Reference : Tracking hurricanes Harvey and Irma using GPS tropospheric products
Scientific congresses, symposiums and conference proceedings : Poster
Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography
http://hdl.handle.net/10993/41951
Tracking hurricanes Harvey and Irma using GPS tropospheric products
English
Ejigu, Yohannes Getachew [Ethiopian Space Science and Technology Institute > Department of Space Science and Application Research Development]
Teferle, Felix Norman mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Hunegnaw, Addisu mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Klos, Anna mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Bogusz, Janusz [Military University of Technology, Warsaw, Poland > Faculty of Civil Engineering and Geodesy]
10-Dec-2019
No
International
AGU Fall Meeting
09-12-2019 to 13-12-2019
San Francisco
USA
[en] The 2017 Hurricanes season was one of the most powerful severe weather events producing catastrophic socio-economic and environmental effects on the east coast of the United States. Therefore, tracking their path accurately is extremely useful. Today Global Navigation Satellite Systems (GNSS) tropospheric products, such as Zenith Wet Delays (ZWD), and Integrated Water Vapor (IWV) are used as complementary data sets in Numerical Weather Prediction (NWP) models. In this study, we employed GPS-derived IWV and horizontal tropospheric gradient information to monitor and investigate the complicated characteristics of hurricane events in their spatial and temporal distribution using a dense ground network of GPS stations. Our results show that a surge in GPS-derived IWV occurred several hours prior to the manifestation of the major hurricanes Harvey and Irma. We used the derived GPS-derived IWV information as input to spaghetti lines weather models, allowing us to predict the paths of Harvey and Irma hurricanes. As such, a parameter directly estimated from GPS can provide an additional resource for improving the monitoring of hurricane paths
Fonds National de la Recherche - FnR
Researchers ; General public
http://hdl.handle.net/10993/41951
FnR ; FNR12909050 > Norman Teferle > VAPOUR > Advanced Asymmetry Tropospheric Products for Meteorology from GNSS and SAR observations > 01/02/2019 > 31/01/2022 > 2018

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