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Spreadsheet of best models for each downscaled climate dataset and for all downscaled climate datasets considered together (Best_model_lists.xlsx)

Dates

Publication Date
Start Date
1981
End Date
2005

Citation

Irizarry-Ortiz, M.M., and Stamm, J.F., 2022, Change factors to derive projected future precipitation depth-duration-frequency (DDF) curves at 174 National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in central and south Florida: U.S. Geological Survey data release, https://doi.org/10.5066/P935WRTG.

Summary

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 National Oceanic and Atmospheric Administration (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 that tabulates best models for each [...]

Contacts

Attached Files

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Best_model_lists.xlsx
““Best models list data””
22.42 KB application/vnd.openxmlformats-officedocument.spreadsheetml.sheet

Purpose

The primary purpose of this table is to tabulate best models for each downscaled climate dataset and for all downscaled climate datasets considered together. This project is a cooperative effort between the U.S. Geological Survey (USGS) and the South Florida Water Management District (SFWMD).

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