Spreadsheet of projected future 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_future_2040.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 the year 2040) as compared to the 1966-2005 historical period.
A Microsoft Excel workbook is provided which tabulates 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 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, 200, and 500 years).
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"010:12"
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|
| contactPoint |
{
"fn": "Michelle M Irizarry-Ortiz",
"@type": "vcard:Contact",
"hasEmail": "mailto:mirizarry-ortiz@usgs.gov"
}
|
| 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 the year 2040) as compared to the 1966-2005 historical period. A Microsoft Excel workbook is provided which tabulates 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 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, 200, and 500 years). |
| distribution |
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| identifier | http://datainventory.doi.gov/id/dataset/USGS_64a2e478d34ef77fcb056b73 |
| keyword |
[
"Florida",
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"precipitation extremes"
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|
| modified | 2025-08-26T00:00:00Z |
| publisher |
{
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|
| spatial | -87.643620946, 24.416352892, -79.989351961, 31.16271922 |
| theme |
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|
| title | Spreadsheet of projected future 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_future_2040.xlsx) |
