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Folders: ROOT > ScienceBase Catalog > USGS Caribbean-Florida Water Science Center > Public Data Releases 2024 ( Show direct descendants )

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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 the Kruijt 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 (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...
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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 presents 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. Plots of the joint distributions of drought-event characteristics are provided for four 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). A Microsoft Excel workbook is provided which tabulates information about general circulation models (GCM) downscaled by the MACA method.
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The Everglades Depth Estimation Network (EDEN) is an integrated network of water-level gages, interpolation models, web applications, and decision support tools that generates daily water-level data and derived hydrologic data across the freshwater part of south Florida's Greater Everglades. EDEN provides continuous daily water-level and depth surfaces on a 400-meter grid using an interpolation algorithm, a network of over 200 gaging stations, and a digital elevation model (DEM). The water-level surfaces cover an area of 9,132 square kilometers and the water depth surfaces cover an area of 7,491 square kilometers. For a subset of gaging stations, ground elevation measurements were taken to better understand the...
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A shapefile of the extent of irrigated agricultural fields which includes an attribute table of the irrigated acreage for the period between November 2022 and June 2023 was compiled for the full county extents of Brevard, Clay, Duval, Flagler, Indian River, Nassau, Osceola, Putnam, Seminole, St. Johns, and Volusia Counties, Florida. These eleven counties are fully or partially within the St. Johns River Water Management District (SJRWMD). Attributes for each polygon that represents a field include a general or specific crop type, irrigation system, and primary water source for irrigation.
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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 the ratio of future (rs) to historical-standard stomatal resistance (rs_ref) based on the Kruijt CO2 vs. stomatal resistance curve and global-average CO2 concentrations projected under the CMIP5 Representative Concentration Pathway...
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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). As part of this study, historical drought characteristics were evaluated based on gridded observational datasets of monthly precipitation and reference evapotranspiration (ETo) called the SFWMD Super-grid which were provided by the SFWMD. A Microsoft Excel workbook is provided which tabulates monthly historical climate-anomaly timeseries and standardized drought indices for the period...
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Individual county tables summarizing the inventoried acreage by crop type and irrigation system were compiled for 11 counties: Brevard, Clay, Duval, Flagler, Indian River, Nassau, Osceola, Putnam, Seminole, St. Johns, and Volusia. The irrigated acreage totals were derived from analyses of satellite and aerial imagery. Crop types and irrigation system types were verified during field trips that started in November 2022 and concluded in August 2023. In addition, the tables provide acreage totals by crop type reported by the U.S. Department of Agriculture from 1987 through 2017, and Florida Statewide Agricultural Irrigation Demand for 2019-20.
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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 model drought-evaluation statistics for the period 2056-95 based on drought characteristics derived from climate models downscaled by the MACA method assuming the Kruijt stomatal resistance curve in the future. Model drought-evaluation...


map background search result map search result map GIS Shapefile of Irrigated Agricultural Acreage for 11 complete counties fully or partially within the St. Johns River Water Management District, 2022–23 Reported and inventoried crop type and irrigated acreage for selected counties in Florida, 1987-2023 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 Ground-surface elevation, vegetation, and land type within approximately 10 and 400 meters of 176 water-level gaging stations in the Greater Everglades, Florida 2005-10 Scatterplots of the joint distributions of historical (1950-2005) drought-event characteristics derived from the SFWMD Super-grid datasets 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 the Kruijt stomatal resistance curve in the future Spreadsheet of model drought-evaluation statistics for 2056-95 based on drought characteristics derived from climate models downscaled by the MACA method assuming the Kruijt stomatal resistance curve in the future Spreadsheet with information about climate models from the MACA downscaled climate dataset Spreadsheet with the ratio of future to historical-standard stomatal resistance based on the Kruijt CO2 and stomatal resistance curve for RCP4.5 and RCP8.5 (2006-2099) Spreadsheet of monthly historical climate-anomaly timeseries (1950-2005) and standardized drought indices derived from the SFWMD Super-grid datasets Ground-surface elevation, vegetation, and land type within approximately 10 and 400 meters of 176 water-level gaging stations in the Greater Everglades, Florida 2005-10 GIS Shapefile of Irrigated Agricultural Acreage for 11 complete counties fully or partially within the St. Johns River Water Management District, 2022–23 Reported and inventoried crop type and irrigated acreage for selected counties in Florida, 1987-2023 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 Scatterplots of the joint distributions of historical (1950-2005) drought-event characteristics derived from the SFWMD Super-grid datasets 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 the Kruijt stomatal resistance curve in the future Spreadsheet of model drought-evaluation statistics for 2056-95 based on drought characteristics derived from climate models downscaled by the MACA method assuming the Kruijt stomatal resistance curve in the future Spreadsheet with information about climate models from the MACA downscaled climate dataset Spreadsheet with the ratio of future to historical-standard stomatal resistance based on the Kruijt CO2 and stomatal resistance curve for RCP4.5 and RCP8.5 (2006-2099) Spreadsheet of monthly historical climate-anomaly timeseries (1950-2005) and standardized drought indices derived from the SFWMD Super-grid datasets