Challenge
Effective disaster preparedness and response depends on accurate storm surge modeling. The National Weather Service’s predictive storm surge tool, the Sea, Lake, and Overland Surges from Hurricanes (SLOSH) model, relies on land cover data. The resolution of the land cover data can significantly affect modeling accuracy, especially for small, storm-prone islands like those in the Caribbean.
Solution
By prioritizing the availability and expansion of high-resolution land cover data, NOAA has been able to provide the data coastal communities need to ensure safety and resilience. Puerto Rico and the U.S. Virgin Islands have seen remarkable improvements in modeling accuracy through NOAA’s 1-meter C-CAP land cover data, which have made SLOSH models more precise. This, in turn, has made these islands better equipped to prepare for and recover from extreme weather events.
High-Resolution C-CAP land cover for St. Croix, U.S. Virgin Islands. Henry E. Rohlsen Airport and surrounding area is depicted here.
Where this page came from
This page was imported from NOAA Office for Coastal Management. A Digital Coast story by NOAA's Office for Coastal Management; as a work of the United States government, in the public domain.
Nobody has written it yet — it is the source material at a new address, which is why search engines are asked to skip it and why no one earns from it. It is up for grabs: take it on, and it is yours to rewrite and to earn from.
Licence: CC0 1.0 (public domain) · Adapted from coast.noaa.gov
1
0
0
0
Comments
