Spreadsheet of fitted projected future precipitation depths at 170 NOAA Atlas 14 stations in central and south Florida derived from the Analog Resampling and Statistical Scaling Method by Jupiter Intelligence using the Weather Research and Forecasting Model (JupiterWRF) downscaled climate dataset (DDF_JupiterWRF_future.xlsx)

The South Florida Water Management District (SFWMD) and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 174 NOAA Atlas 14 stations in central and south Florida. The change factors were computed as the ratio of projected future to historical extreme precipitation depths fitted to extreme precipitation data from various downscaled climate datasets using a constrained maximum likelihood (CML) approach. The change factors correspond to the period 2050-2089 (centered in the year 2070) as compared to the 1966-2005 historical period.
A Microsoft Excel workbook is provided which tabulates fitted projected future precipitation depths derived from the Analog Resampling and Statistical Scaling Method by Jupiter Intelligence using the Weather Research and Forecasting Model (JupiterWRF) at grid cells closest to National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in central and south Florida. A maximum likelihood approach is used to fit the projected future extreme precipitation depths to extreme projected future precipitation data estimated using a statistical scaling approach. The return levels are modified to account for changes in the future frequency of large-scale meteorological factors conducive to precipitation by means of an analog resampling approach. The projected future extreme precipitation depths are tabulated by duration (1 day) and return period (5, 10, 25, 50, 100, and 200 years).