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Spreadsheet of quantiles of change factors at 242 NOAA Atlas 14 stations in Florida derived from downscaled climate datasets considering all models, and the RCP4.5 and SSP2-4.5 future emission scenarios (CFquantiles_2070_to_historical_all_models_RCP4.5.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 [...]

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Attached Files

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CFquantiles_2070_to_historical_all_models_RCP4.5.xlsx
“CFquantiles_2070_to_historical_all_models_RCP4.5.xlsx”
607.35 KB application/vnd.openxmlformats-officedocument.spreadsheetml.sheet

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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