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

Dates

Publication Date: 2022-04-01
Start Date: 2050
End Date: 2089

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

This data release consists of Microsoft Excel workbooks, shapefiles, and a figure (png format) related to a cooperative project between the U.S. Geological Survey (USGS) and the South Florida Water Management District (SFWMD) to derive 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 (2050-2089) to historical (1966-2005) extreme precipitation depths fitted to extreme precipitation data using a constrained maximum likelihood (CML) approach. The change factors are tabulated by duration (1, 3, and 7 days) and return period [...]

Summary

This data release consists of Microsoft Excel workbooks, shapefiles, and a figure (png format) related to a cooperative project between the U.S. Geological Survey (USGS) and the South Florida Water Management District (SFWMD) to derive 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 (2050-2089) to historical (1966-2005) extreme precipitation depths fitted to extreme precipitation data using a constrained maximum likelihood (CML) approach. The change factors are tabulated by duration (1, 3, and 7 days) and return period (5, 10, 25, 50, 100, and 200 years). The official historical NOAA Atlas 14 DDF curves based on partial-duration series (PDS) can be multiplied by the change factors derived in this project to determine projected future extreme precipitation for events of a given duration and return period.

Various statistical, dynamical and hybrid downscaled precipitation datasets were used to derive the change factors at the grid cells closest to the NOAA Atlas 14 stations including (1) the Coordinated Regional Downscaling Experiment (CORDEX), (2) the Localized Constructed Analogues (LOCA) dataset, (3) the Multivariate Adaptive Constructed Analogs (MACA) dataset, (4) the Analog Resampling and Statistical Scaling Method by Jupiter Intelligence using the Weather Research and Forecasting Model (JupiterWRF). The emission scenarios evaluated include representative concentration pathways RCP4.5 and RCP8.5 from the Coupled Model Intercomparison Project Phase 5 (CMIP5) for the downscaled climate datasets CORDEX, LOCA, and MACA. The emission scenarios evaluated for the JupiterWRF downscaled dataset include RCP8.5 from CMIP5, and shared socioeconomic pathways SSP2-4.5 and SSP5-8.5 from the Coupled Model Intercomparison Project Phase 6 (CMIP6). Only daily durations are evaluated for JupiterWRF.

When applying change factors to the historical NOAA Atlas 14 DDF curves to derive projected future precipitation DDF curves for the entire range of durations and return periods evaluated as part of this project, there is a possibility that the resulting projected future DDF curves may be inconsistent across duration and return period. By inconsistent it is meant that the precipitation depths may decrease for longer durations instead of increasing. Depending on the change factors used, this may happen in up to 6% of cases. In such a case, it is recommended that users use the higher of the projected future precipitation depths derived for the duration of interest and the previous shorter duration.

This data release consists of four shapefiles: (1) polygons for the basins defined in the South Florida Water Management District (SFWMD)'s ArcHydro Enhanced Database (AHED) (AHED_basins.shp); (2) polygons of climate regions (Climate_regions.shp); (3) polygons of Areal Reduction Factor (ARF) regions for the state of Florida (ARF_regions.shp); and (4) point locations of NOAA Atlas 14 stations in central and south Florida for which depth-duration-frequency curves and change factors of precipitation depths were developed as part of this project (Atlas14_stations.shp).

This data release also includes 21 tables. Four tables contain computed change factors for the four downscaled climate datasets: (1) CORDEX (CF_CORDEX_future_to_historical.xlsx); (2) LOCA (CF_LOCA_future_to_historical.xlsx); (3) MACA (CF_MACA_future_to_historical.xlsx); and (4) JupiterWRF (CF_JupiterWRF_future_to_historical.xlsx).

Eight tables contain the corresponding DDF values for the historical and projected future periods in each of the four downscaled climate datasets: (1) CORDEX historical (DDF_CORDEX_historical.xlsx); (2) CORDEX projected future (DDF_CORDEX_future.xlsx); (3) LOCA historical (DDF_LOCA_historical.xlsx); (4) LOCA projected future (DDF_LOCA_future.xlsx); (5) MACA historical (DDF_MACA_historical.xlsx); (6) MACA projected future (DDF_MACA_future.xlsx); (7) JupiterWRF historical (DDF_JupiterWRF_historical.xlsx); and (8) JupiterWRF projected future (DDF_JupiterWRF_future.xlsx).

Six tables contain quantiles of change factors at 174 NOAA Atlas 14 stations in central and south Florida derived from various downscaled climate datasets considering: (1) all models and all future emission scenarios evaluated (CFquantiles_future_to_historical_all_models_allRCPs.xlsx); (2) all models and only the RCP4.5 and SSP2-4.5 future emission scenarios (CFquantiles_future_to_historical_all_models_RCP4.5.xlsx); (3) all models and only the RCP8.5 and SSP5-8.5 future emission scenarios (CFquantiles_future_to_historical_all_models_RCP8.5.xlsx); (4) best models and all future emission scenarios evaluated (CFquantiles_future_to_historical_best_models_allRCPs.xlsx); (5) best models and only the RCP4.5 and SSP2-4.5 future emission scenarios (CFquantiles_future_to_historical_best_models_RCP4.5.xlsx); and (6) best models and only the RCP8.5 and SSP5-8.5 future emission scenarios (CFquantiles_future_to_historical_best_models_RCP8.5.xlsx).

Finally, three tables contain miscellaneous information: (1) information about downscaled climate datasets and National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations used in this project (Datasets_station_information.xlsx); (2) best models for each downscaled climate dataset and for all downscaled climate datasets considered together (Best_model_lists.xlsx); and (3) areal reduction factors by region in Florida (Areal_reduction_factors.xlsx).

An R script is provided which generates boxplots of change factors at a NOAA Atlas 14 station, or for all NOAA Atlas 14 stations in an ArcHydro Enhanced Database (AHED) basin or county (create_boxplot.R). A Microsoft Word file documenting code usage and available options is also provided within this data release (Documentation_R_script_create_boxplot.docx).

Disclaimer: As a reminder, projected future (2050-89) and historical (1966-2005) DDF curves fitted to extreme precipitation data from models in each downscaled climate dataset are provided as part of this data release as a way to verify the computed change factors. However, these model-based projected future and historical DDF curves are expected to be biased and only their ratio (change factor) is considered a reasonable approximation of how historically-observed DDF depths might be multiplicatively amplified or muted in the future period 2050-89. An error was identified in the bias-corrected CORDEX data used as described at https://na-cordex.org/bias-correction-error.html. Datasets developed previously by the USGS for this data release were based on these erroneous data and were originally published at: Irizarry-Ortiz, M.M., and Stamm, J.F., 2021, Change factors to derive 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/P9KEMHYM. Data downloaded from that ScienceBase page prior to April 1, 2022 are based on this erroneous bias-corrected CORDEX dataset and has been superseded by the data on this page. On January 10, 2022, the University Corporation for Atmospheric Research notified the USGS that a revised set of bias-corrected CORDEX data were available for download. The USGS recomputed Depth Duration-Frequency (DDF) curves and change factors based on the revised CORDEX dataset and the updated results were posted on this ScienceBase page on April 1, 2022. Data downloaded on this page are based on the revised bias-corrected CORDEX dataset. To obtain the previous superseded dataset, please contact Michelle Irizarry-Ortiz at mirizarry-ortiz@usgs.gov.

First release: October 2021
Revised: March 2022

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Contacts

Point of Contact :: Michelle M Irizarry-Ortiz
Originator :: Michelle M Irizarry-Ortiz, John F Stamm
Metadata Contact :: Michelle M Irizarry-Ortiz
Publisher :: U.S. Geological Survey
Distributor :: U.S. Geological Survey - ScienceBase
SDC Data Owner :: Caribbean-Florida Water Science Center
USGS Mission Area :: Water Resources

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Landingpage_DDF.xml “"Landing page metadata file"” Original FGDC Metadata	View	17.63 KB	application/fgdc+xml
Mean_ARFlimited_SF_curves_alldur_allmodflclimdiv.png ““Figure showing areal reduction factor (ARF) curves by ARF region””		118.45 KB	image/png
version_history.txt “"Version history text file"”		3.62 KB	text/plain

Related External Resources

Type: Original Metadata

Original landing page for deprecated version of this data.	https://doi.org/10.5066/P9KEMHYM

Type: Related Primary Publication

Irizarry-Ortiz, M.M., Stamm, J.F., Maran, C., and Obeysekera, J., 2022, Development of projected depth-duration frequency curves (2050–89) for south Florida: U.S. Geological Survey Scientific Investigations Report 2022–5093, 114 p., https://doi.org/10.3133/sir20225093.	https://doi.org/10.3133/sir20225093

Purpose

The primary purpose of this data release is to provide 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 South Florida Water Management District (SFWMD).

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

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