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Characterizing projected future (2056-95) droughts in south Florida based on the Multivariate Adaptive Constructed Analogs (MACA) downscaled climate dataset from the Coupled Model Intercomparison Project Phase 5

Metadata Updated: November 20, 2025

The South Florida Water Management District (SFWMD) and the U.S. Geological Survey (USGS) have evaluated projections of future (2056-95) droughts for south Florida based on climate model output from the Multivariate Adaptive Constructed Analogs (MACA) downscaled climate dataset from the Coupled Model Intercomparison Project Phase 5 (CMIP5). The emission scenarios evaluated include representative concentration pathways RCP4.5 and RCP8.5 from CMIP5. The analysis was performed for four regions in the SFWMD: (1) the entire SFWMD, (2) the Lower West Coast (LWC) water supply region, (3) the Lower East Coast (LEC) water supply region, and (4) the Okeechobee plus (OKEE+) water supply meta-region consisting of Lake Okeechobee (OKEE), the Lower Kissimmee (LKISS), Upper Kissimmee (UKISS), and Upper East Coast (UEC) water supply regions in the SFWMD. This data release consists of ten figures in Portable Document Format (PDF): -- Map of the study area and four analysis regions (Figure_study_area_map.pdf). -- Scatterplots of the joint distributions of historical (1950-2005) and future (2056-95) drought-event characteristics (duration and intensity) based on 6-mo. and 12-mo. averaged balance anomaly timeseries derived from climate models downscaled by the MACA method for the four regions assuming (1) historical-standard stomatal resistance (rs) (Drought_event_joint_distributions_historical_standard_rs.pdf), and (2) the Kruijt rs curve in the future (Drought_event_joint_distributions_Kruijt.pdf). -- Scatterplots of the joint distributions of historical (1950-2005) drought-event characteristics (duration and intensity) based on 6-mo. and 12-mo. averaged balance anomaly timeseries derived from the SFWMD Super-grid datasets for the four regions (Drought_event_joint_distributions_SFWMD_supergrid.pdf). -- Boxplots of future overall drought-event characteristics based on 6-mo. and 12-mo. averaged balance anomaly timeseries derived from climate models downscaled by the MACA method for the four regions assuming (1) historical-standard stomatal resistance (Overall_drought_characteristics_boxplots_historical_standard_rs.pdf), and (2) the Kruijt rs curve in the future (Overall_drought_characteristics_boxplots_Kruijt.pdf). -- Boxplots of percentage change in overall drought-event characteristics based on 6-mo. and 12-mo. averaged balance anomaly timeseries derived from climate models downscaled by the MACA method for the four regions assuming (1) historical-standard stomatal resistance (Overall_drought_characteristics_percdiff_boxplots_historical_standard_rs.pdf), and (2) the Kruijt rs curve in the future (Overall_drought_characteristics_percdiff_boxplots_Kruijt.pdf). -- Hierarchical clustering summary plots showing model drought evaluation statistics based on drought characteristics derived from climate models downscaled by the MACA method for the four regions assuming (1) historical-standard stomatal resistance (Hierarchical_clustering_historical_standard_rs.pdf), and (2) the Kruijt rs curve in the future (Hierarchical_clustering_Kruijt.pdf). This data release also includes 11 tables in EXCEL spreadsheet format: -- Information about general circulation models (GCM) downscaled by the MACA method (Model_information.xlsx). -- Monthly historical climate anomaly timeseries and standardized drought indices derived from the SFWMD Super-grid datasets for the four regions (Anomaly_timeseries_SFWMD_supergrid.xlsx). -- The ratio of future to historical-standard stomatal resistance based on the Kruijt CO2 vs. stomatal resistance curve and global-average CO2 concentrations projected under RCP4.5 and RCP8.5 for the period 2006-2100 (Stomatal_resistance_ratio_curves.xlsx). -- Monthly climate anomaly timeseries derived from climate models downscaled by the MACA method for the four regions assuming (1) historical-standard stomatal resistance (Anomaly_timeseries_historical_standard_rs.xlsx), and (2) the Kruijt rs curve in the future (Anomaly_timeseries_Kruijt.xlsx). -- Mean future (2056-95) anomalies derived from climate models downscaled by the MACA method for the four regions assuming (1) historical-standard stomatal resistance (Mean_future_anomalies_historical_standard_rs.xlsx), and (2) the Kruijt rs curve in the future (Mean_future_anomalies_Kruijt.xlsx). -- Overall drought-event characteristics based on 6-mo. and 12-mo. averaged balance anomaly timeseries derived from climate models downscaled by the MACA method for the four regions assuming (1) historical-standard stomatal resistance (Overall_drought_characteristics_historical_standard_rs.xlsx), and (2) the Kruijt rs curve in the future (Overall_drought_characteristics_Kruijt.xlsx). -- Model drought evaluation statistics based on drought characteristics derived from climate models downscaled by the MACA method for the four regions assuming (1) historical-standard stomatal resistance (Model_drought_evaluation_historical_standard_rs.xlsx), and (2) the Kruijt rs curve in the future (Model_drought_evaluation_Kruijt.xlsx).

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date September 13, 2025
Metadata Updated Date November 20, 2025

Metadata Source

Harvested from DOI USGS DCAT-US

Additional Metadata

Resource Type Dataset
Metadata Created Date September 13, 2025
Metadata Updated Date November 20, 2025
Publisher U.S. Geological Survey
Maintainer
Identifier http://datainventory.doi.gov/id/dataset/usgs-6670747dd34e89718fa3f6ee
Data Last Modified 2024-07-16T00:00:00Z
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://ddi.doi.gov/usgs-data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 86efda3f-3273-4dde-a17b-a4e5e20ac76c
Harvest Source Id 2b80d118-ab3a-48ba-bd93-996bbacefac2
Harvest Source Title DOI USGS DCAT-US
Metadata Type geospatial
Source Datajson Identifier True
Source Hash 698b0fcb88a5e7780b179e925bae64b122092377043fb1eae747ede5ccb19755
Source Schema Version 1.1

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