Steering flow sensitivity in forecast models for Hurricane Ian (2022)

Hurricane Ian made landfall along Florida ' s west coast at 1905 UTC 28 September 2022 near the Fort Myers area as a high -impact storm. Here, we examine the potential link between track forecast errors near the time of landfall and errors in both the synoptic -scale upper -level fl ow and a shortwave moving within that fl ow. Five days before the actual landfall (0000 UTC 23 September), most model guidance indicated landfall would occur close to where Ian eventually came ashore. But by 0000 UTC 25 September, model forecasts were all forecasting landfall in the Florida Panhandle. One day later, the models again agreed with each other but for a landfall 100 - 200 km north of Tampa, Florida. By 0000 UTC 27 September, forecast models indicated landfall would occur near Tampa. Model forecasts continued shifting to the right and fi nally converged on Punta Gorda, Florida, as the landfall location, less than 24 h before landfall. In this short article, we hypothesize that the track of Ian depended on subtle interactions with an extratropical wave in the middle and upper atmosphere. Deterministic and ensemble model forecasts reveal that the interactions were very sensitive to the characteristics of this wave and the synoptic -scale fl ow in which the wave was embedded. A 1 - 2 -dam difference in the geopotential heights played a major role in whether Ian moved north into the Panhandle or toward the east, making landfall in central Florida.

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Related Dataset #1 : U.S. Billion-dollar Weather and Climate Disasters, 1980 - present (NCEI Accession 0209268)

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Author Colby, F. P.
Barlow, M.
Penny, Andrew
Publisher UCAR/NCAR - Library
Publication Date 2024-05-01T00:00:00
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Topic Category geoscientificInformation
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Metadata Date 2025-07-10T20:02:27.578476
Metadata Record Identifier edu.ucar.opensky::articles:27245
Metadata Language eng; USA
Suggested Citation Colby, F. P., Barlow, M., Penny, Andrew. (2024). Steering flow sensitivity in forecast models for Hurricane Ian (2022). UCAR/NCAR - Library. https://n2t.org/ark:/85065/d7xk8kr9. Accessed 04 August 2025.

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