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Spreadsheet of quantiles of change factors at 242 NOAA Atlas 14 stations in Florida derived from CMIP6 downscaled climate datasets considering only the best models, and all future emission scenarios evaluated (CFquantiles_2070_to_historical_allmodels_allSSPs_CMIP6.xlsx).

Dates

Publication Date
Start Date
2050
End Date
2089

Citation

Michelle M. Irizarry-Ortiz, 2023, Change factors to derive projected future precipitation depth-duration-frequency (DDF) curves at 242 National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in Florida (ver. 2.0, May 2024): U.S. Geological Survey data release, https://doi.org/10.5066/P9Q3LEIL.

Summary

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 2050-89 (centered in the year 2070) as compared to the 1966-2005 historical period. A Microsoft Excel workbook is provided which tabulates quantiles of change factors derived from [...]

Contacts

Attached Files

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CFquantiles_2070_to_historical_best_models_allSSPs_CMIP6.xlsx
“CFquantiles_2070_to_historical_best_models_allSSPs_CMIP6.xlsx”
262.71 KB application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
CFquantiles_2070_to_historical_best_models_allSSPs_CMIP6_metadata.xml
“CFquantiles_2070_to_historical_best_models_allSSPs_CMIP6_metadata.xml”
Original FGDC Metadata

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1.72 MB application/fgdc+xml

Purpose

The primary purpose of this table is to provide quantiles for multiplicative change factors that can be applied to the official NOAA Atlas 14 depth-duration-frequency curves based on partial-duration series (PDS) to determine projected future extreme precipitation for events of a given duration and return period. This project is a cooperative effort between the U.S. Geological Survey (USGS) and the Florida Flood Hub for Applied Research and Innovation.

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