Research from Florida State University in the Area of Applied Sciences Described (A Systematic Revision of the NFIP Claims Hazard Data in Florida for Flood Risk Assessment): Science – Applied Sciences

2022 APR 22 (NewsRx) -- By a News Reporter-Staff News Editor at NewsRx Science Daily -- Researchers detail new data in applied sciences. According to news reporting out of Florida State University by NewsRx editors, research stated, “The hazard components of National Flood Insurance Program (NFIP) claims data in Florida were systematically analyzed and revised in the current study.”

Funders for this research include Florida Office of Insurance Regulation (FLOIR). Award: N/A; 2019044.

The news reporters obtained a quote from the research from Florida State University: “The provided fields in NFIP claims data are not always complete or accurate and are often missing. The authors associated each claim to a proper flood hazard event by updating the provided catastrophe number using the National Hurricane Center HURDAT2 (best track data). The claims with presumably incorrect * * cause of loss* * fields were identified and revised by adding a variety of other available information to claims data. These datasets included tropical cyclone events, rainfall maxima, and distances to the nearest coast. The enhanced information assisted in identifying the cause or likelihood of a hazard event or attributing a particular hazard event to a loss claim.”

According to the news editors, the research concluded: “The revised NFIP claims data will be intensively used to validate the outcomes from flood hazard (i.e., surge, wave and inland flooding) models and to develop a flood vulnerability model in the forthcoming Florida Public Flood Loss Model (FPFLM).”

For more information on this research see: A Systematic Revision of the NFIP Claims Hazard Data in Florida for Flood Risk Assessment. Applied Sciences, 2022,12(3537):3537. (Applied Sciences - http://www.mdpi.com/journal/applsci). The publisher for Applied Sciences is MDPI AG.

A free version of this journal article is available at https://doi.org/10.3390/app12073537.

Our news journalists report that more information may be obtained by contacting D. W. Shin, Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, FL 32306-2840, USA. Additional authors for this research include Steven Cocke, Baek-Min Kim.

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