Tracking Hurricanes Using GPS Atmospheric Precipitable Water Vapor Field
Tracking Hurricanes Using GPS Atmospheric Precipitable Water Vapor Field
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DOI:
10.1007/1345_2020_100
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发表时间:
2020
期刊:
影响因子:
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通讯作者:
Yohannes Getachew Ejigu;F. N. Teferle;A. Klos;J. Bogusz;A. Hunegnaw
中科院分区:
文献类型:
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作者:
Yohannes Getachew Ejigu;F. N. Teferle;A. Klos;J. Bogusz;A. Hunegnaw
Tropical cyclones are one of the most powerful severe weather events that produce devastating socioeconomic and environmental impacts in the areas they strike. Therefore, monitoring and tracking of the arrival times and path of the tropical cyclones are extremely valuable in providing early warning to the public and governments. Hurricane Florence struck the East cost of USA in 2018 and offers an outstanding case study. We employed Global Positioning System (GPS) derived precipitable water vapor (PWV) data to track and investigate the characteristics of storm occurrences in their spatial and temporal distribution using a dense ground network of permanent GPS stations. Our findings indicate that a rise in GPS-derived PWV occurred several hours before Florence’s manifestation. Also, we compared the temporal distribution of the GPS-derived PWV content with the precipitation value for days when the storm appeared in the area under influence. The study will contribute to quantitative assessment of the complementary GPS tropospheric products in hurricane monitoring and tracking using GPS-derived water vapor evolution from a dense network of permanent GPS stations.