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Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are...
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Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are...
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Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are...
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Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are...
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Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are...
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Prescribed burning is a critical tool for managing wildfire risks and meeting ecological objectives, but its safe and effective application requires that specific meteorological criteria are met. This dataset contains results from a study examining the potential impacts of projected climatic change on prescribed burning in the southeastern United States. A set of burn window criteria (suitable weather conditions within which burning may occur based on maximum daily temperature, daily average relative humidity, and daily average wind speed), were applied to projections from an ensemble of Global Climate Models (GCM) under two greenhouse gas emission scenarios, as well as past observations for comparison. Data are...
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This data release documents eight Microsoft Excel tables; four which contain data for understanding groundwater ages in the South East Coastal Plain (SECP), Coastal Lowlands (CLOW) and Mississippi Embayment and Texas Coastal Uplands (METX) aquifer systems and four that describe the data fields. Results described include dissolved gas modeling results, environmental tracer concentrations (tritium, tritiogenic helium-3, sulfur hexafluoride, and radiogenic helium-4), mean age and age distribution, and carbon-14 geochmical modeling results Dissolved gas modeling results (DGmodel) contains detailed information on the calibration of dissolved gas models to dissolved gas concentrations (neon, argon, krypton, xenon, and...
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This data release contains compiled historical groundwater-withdrawal data for the Coastal Lowlands Aquifer System in Texas, Louisiana, Mississippi, Alabama, and Florida from 1925 to 2018. Most groundwater-withdrawals were distributed to groundwater wells and separated into water-use categories of industrial, production wells, power generation, mining, domestic, irrigation, livestock or commercial. Groundwater-withdrawal data were obtained, where available, from existing database resources hosted by various State and Federal agencies. For Texas, data were obtained from the Texas Water Development Board (TWDB) from both existing Groundwater Availability Models (GAM), and from historical groundwater-withdrawal data....
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Acadia Parish, Adams County, Alabama, Allen Parish, Amite County, All tags...
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This U.S. Geological Survey (USGS) Data Release provides microcystin, chlorophyll, and cell-count data for assessing the effect of salinity tolerance on cyanobacteria associated with a harmful algal bloom in Lake Okeechobee, Florida. All data are reported as raw measured values and are not rounded to USGS significant figures. Water and algal bloom material were collected from Lake Okeechobee, Florida on July 7, 2017. This dataset includes measurements of subsamples taken in the laboratory, collected July 9 to July 17, 2017, at nine different salinity concentrations.
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A detailed table summarizing the irrigated acreage by crop type and irrigation system was developed for the 2018 growing season (November 2017 and September 2018) for Hardee County, Florida. The acreage totals presented are derived from the results of a cooperative project that mapped and field-verified irrigated fields in Hardee County, Florida. In addition, the table provides acreage totals by crop type published by the U.S. Department of Commerce for 1978 and 1982 and the U.S. Department of Agriculture for years between 1987 and 2012.
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A table summarizing the inventoried acreage by crop type and irrigation system was compiled for Columbia County, Florida. 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 January 2020 and concluded in December 2020. In addition, the table provides acreage totals by crop type reported by the U.S. Department of Commerce for 1982, the U.S. Department of Agriculture from 1987 through 2017, and Florida Statewide Agricultural Irrigation Demand for 2016-18.
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A table summarizing the inventoried acreage by crop type and irrigation system was compiled for Madison County, Florida. 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 January 2020 and concluded in December 2020. In addition, the table provides acreage totals by crop type reported by the U.S. Department of Commerce for 1982, the U.S. Department of Agriculture from 1987 through 2017, and Florida Statewide Agricultural Irrigation Demand for 2016-18.
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A table summarizing the inventoried acreage by crop type and irrigation system was compiled for Gulf County, Florida. 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 May 2021 and concluded in August 2021. In addition, the table provides acreage totals by crop type reported by the U.S. Department of Commerce for 1982, the U.S. Department of Agriculture from 1987 through 2017, and Florida Statewide Agricultural Irrigation Demand for 2018-19.
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A table summarizing the inventoried acreage by crop type and irrigation system was compiled for Gadsden County, Florida. 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 May 2021 and concluded in August 2021. In addition, the table provides acreage totals by crop type reported by the U.S. Department of Commerce for 1982, the U.S. Department of Agriculture from 1987 through 2017, and Florida Statewide Agricultural Irrigation Demand for 2018-19.
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A table summarizing the inventoried acreage by crop type and irrigation system was compiled for Lake County, Florida. 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 January 2020 and concluded in December 2020. In addition, the table provides acreage totals by crop type reported by the U.S. Department of Commerce for 1982, the U.S. Department of Agriculture from 1987 through 2017, and Florida Statewide Agricultural Irrigation Demand for 2016-18.
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A table summarizing the inventoried acreage by crop type and irrigation system was compiled for Miami-Dade County, Florida. The irrigated acreage totals were derived from analyses of satellite and aerial imagery. Crop types and irrigation system types were later field verified between January 2019 and February 2021. In addition, the table provides acreage totals by crop type reported by the U.S. Department of Commerce for 1982 and the U.S. Department of Agriculture for years between 1987 and 2017.
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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Annual actual evapotranspiration (ETa) rates in 55 basins in Florida and parts of Alabama and Georgia were evaluated for 2000–17 using the Operational Simplified Surface Energy Balance (SSEBop) model at about a one-square kilometer resolution (Sepúlveda, 2021). SSEBop ETa rates were bias corrected on the basis of ETa rates computed from weather observations at 24 micrometeorological evapotranspiration flux (MEF) stations, stratified by land-use type and referred to as mETa rates. Uncorrected and bias-corrected SSEBop ETa rates were evaluated by comparison with independent estimates based on a crop-coefficient method for generalized land-use types (luETa) and a water-balance method for each basin (wbETa). Average...
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Annual actual evapotranspiration (ETa) rates in 55 basins in Florida and parts of Alabama and Georgia were evaluated for 2000-17 using the Operational Simplified Surface Energy Balance (SSEBop) model at about a one-square kilometer resolution (Sepúlveda, 2021). SSEBop ETa rates were bias corrected using ETa rates computed from weather observations at 24 micrometeorological evapotranspiration flux (MEF) stations (mETa), stratified by land-use type. Uncorrected and bias-corrected SSEBop ETa rates were evaluated by comparison with independent estimates based on a crop-coefficient method for generalized land-use types (luETa) and a water-balance method for each basin (wbETa). This metadata file summarizes a GIS shapefile...


map background search result map search result map Table: Reported and inventoried crop and irrigated acreage in Hardee County, Florida, 1978-2018 Microcystin, chlorophyll, and cell-count data for assessing the effect of salinity tolerance on cyanobacteria associated with a harmful algal bloom in Lake Okeechobee, Florida, July 9 to 17, 2017 Data for Groundwater Age and Susceptibility of Poorly Consolidated Sedimentary Aquifers of the United States Gulf Coast: Results from the Southeast Coastal Plain (SECP), Coastal Lowland (CLOW), Mississippi Embayment and Texas Coastal Upland (METX) Principal Aquifer Networks Groundwater-withdrawal data from the Coastal Lowlands Aquifer System in parts of Texas, Louisiana, Mississippi, Alabama, and Florida, 1925-2018 Reported and inventoried crop and irrigated acreage in Miami-Dade County, Florida, 1982-2021 Seasonal Future Prescribed Burn Windows for the Southeast United States - June-August 2010-2099 RCP 4.5 MRI Monthly Future Prescribed Burn Windows for the Southeast United States 2010-2099 RCP 4.5 CSIRO Monthly Future Prescribed Burn Windows for the Southeast United States 2010-2099 RCP 8.5 IPSL-CM5A-MR Monthly Future Prescribed Burn Windows for the Southeast United States 2010-2099 RCP 8.5 HADSE Historical Prescribed Burn Windows for the Southeast United States 1950-1999 Seasonal Future Prescribed Burn Windows for the Southeast United States - December-February 2010-2099 RCP 8.5 Data sets of actual evapotranspiration rates from 2000 to 2017 for basins in Florida and parts of Alabama and Georgia, calculated using the water-balance method, the bias-corrected Operational Simplified Surface Energy Balance (SSEBop) model, and the land-use crop coefficients model GIS shapefile: Actual evapotranspiration rates from 2000 to 2017 for basins in Florida and parts of Alabama and Georgia, calculated using the water-balance method, the bias-corrected Operational Simplified Surface Energy Balance (SSEBop) model, and the land-use crop coefficients model Reported and inventoried crop and irrigated acreage in Columbia County, Florida, 1982-2020 Reported and inventoried crop and irrigated acreage in Madison County, Florida, 1982-2020 Reported and inventoried crop and irrigated acreage in Lake County, Florida, 1982-2020 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 historical precipitation depths at 174 NOAA Atlas 14 stations in central and south Florida derived from CORDEX downscaled climate dataset (DDF_CORDEX_historical.xlsx) Reported and inventoried crop type and irrigated acreage in Gadsden County, Florida, 1982-2021 Reported and inventoried crop type and irrigated acreage in Gulf County, Florida, 1982-2021 Table: Reported and inventoried crop and irrigated acreage in Hardee County, Florida, 1978-2018 Reported and inventoried crop type and irrigated acreage in Gadsden County, Florida, 1982-2021 Reported and inventoried crop type and irrigated acreage in Gulf County, Florida, 1982-2021 Reported and inventoried crop and irrigated acreage in Madison County, Florida, 1982-2020 Reported and inventoried crop and irrigated acreage in Columbia County, Florida, 1982-2020 Microcystin, chlorophyll, and cell-count data for assessing the effect of salinity tolerance on cyanobacteria associated with a harmful algal bloom in Lake Okeechobee, Florida, July 9 to 17, 2017 Reported and inventoried crop and irrigated acreage in Lake County, Florida, 1982-2020 Reported and inventoried crop and irrigated acreage in Miami-Dade County, Florida, 1982-2021 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 historical precipitation depths at 174 NOAA Atlas 14 stations in central and south Florida derived from CORDEX downscaled climate dataset (DDF_CORDEX_historical.xlsx) Data sets of actual evapotranspiration rates from 2000 to 2017 for basins in Florida and parts of Alabama and Georgia, calculated using the water-balance method, the bias-corrected Operational Simplified Surface Energy Balance (SSEBop) model, and the land-use crop coefficients model GIS shapefile: Actual evapotranspiration rates from 2000 to 2017 for basins in Florida and parts of Alabama and Georgia, calculated using the water-balance method, the bias-corrected Operational Simplified Surface Energy Balance (SSEBop) model, and the land-use crop coefficients model Groundwater-withdrawal data from the Coastal Lowlands Aquifer System in parts of Texas, Louisiana, Mississippi, Alabama, and Florida, 1925-2018 Data for Groundwater Age and Susceptibility of Poorly Consolidated Sedimentary Aquifers of the United States Gulf Coast: Results from the Southeast Coastal Plain (SECP), Coastal Lowland (CLOW), Mississippi Embayment and Texas Coastal Upland (METX) Principal Aquifer Networks Seasonal Future Prescribed Burn Windows for the Southeast United States - June-August 2010-2099 RCP 4.5 MRI Monthly Future Prescribed Burn Windows for the Southeast United States 2010-2099 RCP 4.5 CSIRO Monthly Future Prescribed Burn Windows for the Southeast United States 2010-2099 RCP 8.5 IPSL-CM5A-MR Monthly Future Prescribed Burn Windows for the Southeast United States 2010-2099 RCP 8.5 HADSE Historical Prescribed Burn Windows for the Southeast United States 1950-1999 Seasonal Future Prescribed Burn Windows for the Southeast United States - December-February 2010-2099 RCP 8.5