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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...
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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Airborne electromagnetic (AEM) and magnetic survey data along four flight lines were collected in Everglades National Park, Florida as part of a larger survey. Data were collected during October 2001. These lines, totaling 95.2 line-kilometers, repeated the path of four lines from earlier AEM survey collected in December 1994 (released under USGS Open-File Report 02-101 downloadable at https://pubs.er.usgs.gov/publication/ofr02101). Electromagnetic data were acquired with Dighem VRES frequency-domain system. Magnetic data were collected with a Scintrex CS2 cesium-vapor magnetometer. The nominal elevation of the electromagnetic system was 30 m. This data release includes raw and processed AEM data. This release also...
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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...
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Airborne electromagnetic (AEM) and magnetic survey data, a total of 3065 line-kilometers, were collected during October 2001 in two survey blocks and four repeated lines from an earlier survey. The largest area, Block 1 totaling 2692.2 line-kilometers was flown over Big Cypress Preserve, smaller Block 2 along 277.1 line-kilometers was flown near the town of Homestead, and four lines totaling 95.2 line-kilometers were flown over Everglades National Park. The lines over Everglades National Park repeated the path of four lines from an earlier AEM survey collected in December 1994 (released under USGS Open-File Report 02-101 downloadable at https://pubs.er.usgs.gov/publication/ofr02101). Electromagnetic data were acquired...
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...
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Entire photo-documented sequence from 01 June 2021–09 September 2021, including novel interactions between intraguild predators in southern Florida – the native bobcat (Lynx rufus) and the invasive Burmese python (Python bivittatus). A bobcat depredated an unguarded Burmese python nest and subsequently the python exhibited nest defense behavior following the return of both animals to the nest. First, a bobcat discovers an unguarded nest then proceeds to depredate, cache, and uncover the eggs over several days. The bobcat returns to find the female python back on the nest and later proceeds to swipe at the snake. After biologists attempted to the nest but leave the camera, the bobcat returns to scavenge discarded,...
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...
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 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...
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. An areal reduction factor (ARF) is computed to convert rainfall statistics of a point, such as at a weather...
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 (basin_boxplot.R) is provided provided as...
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This dataset shows Marinas within the Gulf of Mexico
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: Alabama, Aransas County, Baldwin County, Boat, Boat Ramps, All tags...
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Reserve design is a process that must address many ecological, social, and political factors to successfully identify parcels of land in need of protection to sustain wildlife populations and other natural resources. Making land acquisition choices for a large, terrestrial protected area is difficult because it occurs over a long timeframe and may involve consideration of future conditions such as climate and urbanization changes. Decision makers need to consider factors including: order of parcel purchasing given budget constraints, future uncertainty, potential future landscape-scale changes from urbanization, and climate. In central Florida, two new refuges and the expansion of a third refuge are in various stages...
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...
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Note: This data release has been deprecated. Please see new data release here: https://doi.org/10.5066/P935WRTG. 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 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 future (2050-2089) to historical (1966-2005) extreme precipitation depths fitted to extreme precipitation data using a constrained maximum...
map background search result map search result map Informing the Identification of High-Priority Lands for the Everglades Headwaters National Wildlife Refuge Considering Future Climate and Urbanization Biscayne National Park Vegetation Mapping Project - Spatial Vegetation Data Marinas in the Gulf of Mexico Airborne electromagnetic and magnetic survey data in Big Cypress National Preserve and Everglades National Park, 2001 Everglades_4Lines_2001 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 Photo-documented sequences from 01 Jun 2021-30 Aug 2021 showing novel interactions between intraguild predators in southern Florida, USA, bobcat and Burmese python R script that creates a wrapper function to automate the generation of boxplots of change factors for all ArcHydro Enhanced Database (AHED) basins (basin_boxplot.R) 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 Areal Reduction Factor (ARF) regions for the state of Florida (ARF_regions.shp) 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 CORDEX downscaled climate dataset (DDF_CORDEX_future.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 fitted historical precipitation depths at 174 NOAA Atlas 14 stations in central and south Florida derived from MACA downscaled climate dataset (DDF_MACA_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 all models, and the RCP8.5 and SSP5-8.5 future emission scenarios (CFquantiles_future_to_historical_all_models_RCP8.5.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). Biscayne National Park Vegetation Mapping Project - Spatial Vegetation Data Everglades_4Lines_2001 Photo-documented sequences from 01 Jun 2021-30 Aug 2021 showing novel interactions between intraguild predators in southern Florida, USA, bobcat and Burmese python Airborne electromagnetic and magnetic survey data in Big Cypress National Preserve and Everglades National Park, 2001 Informing the Identification of High-Priority Lands for the Everglades Headwaters National Wildlife Refuge Considering Future Climate and Urbanization 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 R script that creates a wrapper function to automate the generation of boxplots of change factors for all ArcHydro Enhanced Database (AHED) basins (basin_boxplot.R) 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 CORDEX downscaled climate dataset (DDF_CORDEX_future.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 fitted historical precipitation depths at 174 NOAA Atlas 14 stations in central and south Florida derived from MACA downscaled climate dataset (DDF_MACA_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 all models, and the RCP8.5 and SSP5-8.5 future emission scenarios (CFquantiles_future_to_historical_all_models_RCP8.5.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). Shapefile of Areal Reduction Factor (ARF) regions for the state of Florida (ARF_regions.shp) Shapefile of climate regions for the state of Florida (Climate_regions.shp) Marinas in the Gulf of Mexico