Impact of dropwindsonde data on Hurricane track forecasts

Seon K. Park, Da Lin Zhang

Research output: Contribution to journalConference articlepeer-review


The potential impact of dropwindsonde observations on track forecasting of Hurricane Bonnie was investigated. The investigations was carried out in terms of data number and distribution around the storm center using the MM5 model and the observating-system simulation experiments (OSSE) approach. The increasing number of dropwindsonde observations around the storm center improved the track forecasting. The results indicate that appropriate number and distribution of dropwindsonde soundings around the storm center make necessary corrections in the wind fields at all levels for better track forecast.

Original languageEnglish
Pages (from-to)6171-6174
Number of pages4
JournalBulletin of the American Meteorological Society
StatePublished - 2004
EventCombined Preprints: 84th American Meteorological Society (AMS) Annual Meeting - Seattle, WA., United States
Duration: 11 Jan 200415 Jan 2004


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