Spreadsheet of historical precipitation depths at 170 NOAA Atlas 14 stations in Florida fitted to extreme-precipitation events 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_historical.xlsx)
The Florida Flood Hub for Applied Research and Innovation and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 242 NOAA Atlas 14 stations in Florida. The change factors were computed as the ratio of projected future to historical extreme-precipitation depths fitted to extreme-precipitation data from downscaled climate datasets using a constrained maximum likelihood (CML) approach as described in https://doi.org/10.3133/sir20225093. The change factors correspond to the period 2038-42 (centered in 2040) or to the period 2068-72 (centered in the year 2070) as compared to the 1966-2005 historical period.
A Microsoft Excel workbook is provided which tabulates historical 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 Florida. The historical extreme-precipitation depths are fitted to extreme-precipitation data using a maximum likelihood approach and tabulated by duration (1 day) and return period (5, 10, 25, 50, 100, 200, and 500 years).
Complete Metadata
| accessLevel | public |
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| description | The Florida Flood Hub for Applied Research and Innovation and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 242 NOAA Atlas 14 stations in Florida. The change factors were computed as the ratio of projected future to historical extreme-precipitation depths fitted to extreme-precipitation data from downscaled climate datasets using a constrained maximum likelihood (CML) approach as described in https://doi.org/10.3133/sir20225093. The change factors correspond to the period 2038-42 (centered in 2040) or to the period 2068-72 (centered in the year 2070) as compared to the 1966-2005 historical period. A Microsoft Excel workbook is provided which tabulates historical 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 Florida. The historical extreme-precipitation depths are fitted to extreme-precipitation data using a maximum likelihood approach and tabulated by duration (1 day) and return period (5, 10, 25, 50, 100, 200, and 500 years). |
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| modified | 2025-08-26T00:00:00Z |
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| spatial | -87.643620946, 24.416352892, -79.989351961, 31.16271922 |
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| title | Spreadsheet of historical precipitation depths at 170 NOAA Atlas 14 stations in Florida fitted to extreme-precipitation events 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_historical.xlsx) |
