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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...
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 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 which tabulates quantiles of change factors derived from various...
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 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. Geospatial data provided in an ArcGIS shapefile are described herein. The shapefile contains polygons...
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The South Florida Water Management District (SFWMD) and the U.S. Geological Survey (USGS) have evaluated projections of future 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 MACA dataset includes both Representative Concentration Pathways 4.5 and 8.5 (RCP4.5 and RCP8.5). A Portable Document Format (PDF) file is provided which presents 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 assuming the Kruijt stomatal resistance curve...
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The South Florida Water Management District (SFWMD) and the U.S. Geological Survey (USGS) have evaluated projections of future 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 MACA dataset includes both Representative Concentration Pathways 4.5 and 8.5 (RCP4.5 and RCP8.5). A Microsoft Excel workbook is provided which tabulates mean future (2056-95) anomalies derived from climate models downscaled by the MACA method assuming historical-standard stomatal resistance for four regions: (1) the entire South Florida Water Management District (SFWMD), (2) the Lower...
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The South Florida Water Management District (SFWMD) and the U.S. Geological Survey (USGS) have evaluated projections of future 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 MACA dataset includes both Representative Concentration Pathways 4.5 and 8.5 (RCP4.5 and RCP8.5). A Portable Document Format (PDF) file is provided which presents hierarchical clustering summary plots showing model drought evaluation statistics based on future (2056-95) drought characteristics derived from climate models downscaled by the MACA method assuming historical-standard stomatal...
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The South Florida Water Management District (SFWMD) and the U.S. Geological Survey (USGS) have evaluated projections of future 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 MACA dataset includes both Representative Concentration Pathways 4.5 and 8.5 (RCP4.5 and RCP8.5). A Portable Document Format (PDF) file is provided which presents 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...
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The South Florida Water Management District (SFWMD) and the U.S. Geological Survey (USGS) have evaluated projections of future 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 MACA dataset includes both Representative Concentration Pathways 4.5 and 8.5 (RCP4.5 and RCP8.5). A Portable Document Format (PDF) file is provided which presents 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...
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The South Florida Water Management District (SFWMD) and the U.S. Geological Survey (USGS) have evaluated projections of future 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 MACA dataset includes both Representative Concentration Pathways 4.5 and 8.5 (RCP4.5 and RCP8.5). A Microsoft Excel workbook is provided which tabulates mean future (2056-95) anomalies derived from climate models downscaled by the MACA method assuming the Kruijt stomatal resistance curve in the future for four regions: (1) the entire South Florida Water Management District (SFWMD),...
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 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 which tabulates change factors derived from the Analog Resampling...
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 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 which tabulates fitted historical precipitation depths derived...
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The Biscayne National Park (BISC) vegetation map was created by Pablo L. Ruiz, Patricia A. Houle, and Michael S. Ross of Florida International University (Cooperative agreement H500 06 5040 Task agreement J2117062272) with the National Park Service South Florida / Caribbean Network conducting the accuracy assessment and assembling the final joint report and deliverables. Biscayne National Park�s 3,096 hectares of terrestrial vegetation, including the wetlands along the western shore of Biscayne Bay, mangrove islands in the bay, and larger islands that parallel the mainland, were mapped with a vector-based approach using photo-interpretation of Florida Fish and Wildlife Conservation Commission Fish and Wildlife Research...
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 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 which tabulates quantiles of change factors derived from various...
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 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 which tabulates fitted projected future precipitation depths derived...
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. An R script (create_boxplot.R) is provided which generates...
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The South Florida Water Management District (SFWMD) and the U.S. Geological Survey (USGS) have evaluated projections of future 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 MACA dataset includes both Representative Concentration Pathways 4.5 and 8.5 (RCP4.5 and RCP8.5). A Microsoft Excel workbook is provided which tabulates overall drought-event characteristics based on 6-mo. and 12-mo. averaged balance anomaly timeseries derived from climate models downscaled by the MACA method assuming the historical-standard stomatal resistance (rs). Overall cumulative...
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The South Florida Water Management District (SFWMD) and the U.S. Geological Survey (USGS) have evaluated projections of future 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 MACA dataset includes both Representative Concentration Pathways 4.5 and 8.5 (RCP4.5 and RCP8.5). A Microsoft Excel workbook is provided which tabulates overall drought-event characteristics based on 6-mo. and 12-mo. averaged balance anomaly timeseries derived from climate models downscaled by the MACA method ssuming the Kruijt stomatal resitance curve in the future. Overall cumulative...
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The South Florida Water Management District (SFWMD) and the U.S. Geological Survey (USGS) have evaluated projections of future 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 MACA dataset includes both Representative Concentration Pathways 4.5 and 8.5 (RCP4.5 and RCP8.5). A Microsoft Excel workbook is provided which tabulates monthly climate-anomaly timeseries for the period January 1950 through December 2099. Anomaly timeseries are provided for precipitation, reference evapotranspiration (ETo), and balances (precipitation - ETo) averaged over regions...
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The South Florida Water Management District (SFWMD) and the U.S. Geological Survey (USGS) have evaluated projections of future 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 MACA dataset includes both Representative Concentration Pathways 4.5 and 8.5 (RCP4.5 and RCP8.5). A Portable Document Format (PDF) file is provided which presents 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 assuming the historical-standard stomatal resistance...
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The South Florida Water Management District (SFWMD) and the U.S. Geological Survey (USGS) have evaluated projections of future 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). A Portable Document Format (PDF) file is provided which shows a map of the study area and four analysis regions: (1) the entire South Florida Water Management District (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...
map background search result map search result map Biscayne National Park Vegetation Mapping Project - Spatial Vegetation Data R script to create boxplots of change factors by NOAA Atlas 14 station, or for all stations in an ArcHydro Enhanced Database (AHED) basin or county (create_boxplot.R) Shapefile of climate regions for the state of Florida (Climate_regions.shp) Spreadsheet of best models for each downscaled climate dataset and for all downscaled climate datasets considered together (Best_model_lists.xlsx) Spreadsheet of change factors at 170 NOAA Atlas 14 stations in central and south Florida derived from the Analog Resampling and Statistical Scaling Method by Jupiter Intelligence using the Weather Research and Forecasting Model (JupiterWRF) downscaled climate dataset (CF_JupiterWRF_future_to_historical.xlsx) Spreadsheet of fitted projected future precipitation depths at 174 NOAA Atlas 14 stations in central and south Florida derived from LOCA downscaled climate dataset (DDF_LOCA_future.xlsx) Spreadsheet of fitted historical precipitation depths at 174 NOAA Atlas 14 stations in central and south Florida derived from CORDEX downscaled climate dataset (DDF_CORDEX_historical.xlsx) Spreadsheet of quantiles of change factors at 174 NOAA Atlas 14 stations in central and south Florida derived from various downscaled climate datasets considering only the best models and all future emission scenarios evaluated (CFquantiles_future_to_historical_best_models_allRCPs.xlsx). Spreadsheet of quantiles of change factors at 174 NOAA Atlas 14 stations in central and south Florida derived from various downscaled climate datasets considering only the best models, and the RCP8.5 and SSP5-8.5 future emission scenarios (CFquantiles_future_to_historical_best_models_RCP8.5.xlsx). Scatterplots of the joint distributions of historical (1950-2005) and future (2056-95) drought-event characteristics derived from climate models downscaled by the MACA method assuming the Kruijt stomatal resistance curve in the future Map of the study area and water supply regions in the SFWMD Hierarchical clustering summary plots showing model drought evaluation statistics based on future (2056-95) drought characteristics derived from climate models downscaled by the MACA method assuming historical-standard stomatal resistance Boxplots of future (2056-95) overall drought-event characteristics derived from climate models downscaled by the MACA method assuming historical-standard stomatal resistance Boxplots of future (2056-95) overall drought-event characteristics derived from climate models downscaled by the MACA method assuming the Kruijt stomatal resistance curve in the future Spreadsheet of monthly climate-anomaly timeseries (1950-2099) derived from climate models downscaled by the MACA method assuming historical-standard stomatal resistance Spreadsheet of mean future (2056-95) anomalies derived from climate models downscaled by the MACA method assuming historical-standard stomatal resistance Spreadsheet of mean future (2056-95) anomalies derived from climate models downscaled by the MACA method assuming the Kruijt stomatal resistance curve in the future Spreadsheet of overall drought-event characteristics for 1950-2005 and 2056-95 derived from climate models downscaled by the MACA method assuming historical-standard stomatal resistance Spreadsheet of overall drought-event characteristics for 1950-2005 and 2056-95 derived from climate models downscaled by the MACA method assuming the Kruijt stomatal resistance curve in the future Scatterplots of the joint distributions of historical (1950-2005) and future (2056-95) drought-event characteristics derived from climate models downscaled by the MACA method assuming historical-standard stomatal resistance Biscayne National Park Vegetation Mapping Project - Spatial Vegetation Data R script to create boxplots of change factors by NOAA Atlas 14 station, or for all stations in an ArcHydro Enhanced Database (AHED) basin or county (create_boxplot.R) Spreadsheet of best models for each downscaled climate dataset and for all downscaled climate datasets considered together (Best_model_lists.xlsx) Spreadsheet of change factors at 170 NOAA Atlas 14 stations in central and south Florida derived from the Analog Resampling and Statistical Scaling Method by Jupiter Intelligence using the Weather Research and Forecasting Model (JupiterWRF) downscaled climate dataset (CF_JupiterWRF_future_to_historical.xlsx) Spreadsheet of fitted projected future precipitation depths at 174 NOAA Atlas 14 stations in central and south Florida derived from LOCA downscaled climate dataset (DDF_LOCA_future.xlsx) Spreadsheet of fitted historical precipitation depths at 174 NOAA Atlas 14 stations in central and south Florida derived from CORDEX downscaled climate dataset (DDF_CORDEX_historical.xlsx) Spreadsheet of quantiles of change factors at 174 NOAA Atlas 14 stations in central and south Florida derived from various downscaled climate datasets considering only the best models and all future emission scenarios evaluated (CFquantiles_future_to_historical_best_models_allRCPs.xlsx). Spreadsheet of quantiles of change factors at 174 NOAA Atlas 14 stations in central and south Florida derived from various downscaled climate datasets considering only the best models, and the RCP8.5 and SSP5-8.5 future emission scenarios (CFquantiles_future_to_historical_best_models_RCP8.5.xlsx). Scatterplots of the joint distributions of historical (1950-2005) and future (2056-95) drought-event characteristics derived from climate models downscaled by the MACA method assuming the Kruijt stomatal resistance curve in the future Map of the study area and water supply regions in the SFWMD Hierarchical clustering summary plots showing model drought evaluation statistics based on future (2056-95) drought characteristics derived from climate models downscaled by the MACA method assuming historical-standard stomatal resistance Boxplots of future (2056-95) overall drought-event characteristics derived from climate models downscaled by the MACA method assuming historical-standard stomatal resistance Boxplots of future (2056-95) overall drought-event characteristics derived from climate models downscaled by the MACA method assuming the Kruijt stomatal resistance curve in the future Spreadsheet of monthly climate-anomaly timeseries (1950-2099) derived from climate models downscaled by the MACA method assuming historical-standard stomatal resistance Spreadsheet of mean future (2056-95) anomalies derived from climate models downscaled by the MACA method assuming historical-standard stomatal resistance Spreadsheet of mean future (2056-95) anomalies derived from climate models downscaled by the MACA method assuming the Kruijt stomatal resistance curve in the future Spreadsheet of overall drought-event characteristics for 1950-2005 and 2056-95 derived from climate models downscaled by the MACA method assuming historical-standard stomatal resistance Spreadsheet of overall drought-event characteristics for 1950-2005 and 2056-95 derived from climate models downscaled by the MACA method assuming the Kruijt stomatal resistance curve in the future Scatterplots of the joint distributions of historical (1950-2005) and future (2056-95) drought-event characteristics derived from climate models downscaled by the MACA method assuming historical-standard stomatal resistance Shapefile of climate regions for the state of Florida (Climate_regions.shp)