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thumbnail for publication: What Does Florida Weather during the Past 20 Years Look Like?: Florida Weather Represented by the Florida Automated Weather Network (FAWN)

What Does Florida Weather during the Past 20 Years Look Like?: Florida Weather Represented by the Florida Automated Weather Network (FAWN)

Satbyeol Shin, Young Gu Her, Geraldina Zhang, and William Lusher

This document gives an overview of Florida temperature and rainfall during the past 20 years based on historical FAWN data to provide information about the temporal and spatial trends of Florida weather and the frequency and size of extreme weather events such as heavy rainfall and drought. This document also investigates the characteristics of drought and heavy rainfall in relation to hurricanes and tropical storms.

thumbnail for publication: Citrus Cold Weather Protection and Irrigation Scheduling Tools Using Florida Automated Weather Network (FAWN) Data

Citrus Cold Weather Protection and Irrigation Scheduling Tools Using Florida Automated Weather Network (FAWN) Data

John L. Jackson, Kelly Morgan, and William R. Lusher

A UF/IFAS numbered Fact Sheet.

thumbnail for publication: Estimating the Frequency of a Storm Event: How to Use NOAA Atlas 14 Point Precipitation Frequency Estimates

Estimating the Frequency of a Storm Event: How to Use NOAA Atlas 14 Point Precipitation Frequency Estimates

Young Gu Her, Eban Bean, and Christopher Martinez

This article introduces NOAA Atlas 14 and explains how to use it to help Extension agents and the general public estimate the frequency of any storm event of interest. The frequency estimate of a storm event using NOAA Atlas 14 helps the user to understand how large a storm is in relation to the historical storm events that occurred at a certain location. In addition, the information on the estimate’s confidence interval provided by NOAA Atlas 14 is expected to help people better understand the probabilistic nature of rainfall events. Written by Young Gu Her, Eban Bean, and Christopher Martinez, and published by the UF/IFAS Department of Agricultural and Biological Engineering, May 2023.