2 research outputs found
Tracking Hurricanes using GPS atmospheric precipitable water vapor field
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 station