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The Florida Flood Hub for Applied Research and Innovation and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 242 National Oceanic and Atmospheric Administration (NOAA) Atlas 14 stations in Florida. The change factors were computed as the ratio of projected future to historical extreme-precipitation depths fitted to extreme-precipitation data from downscaled climate datasets using a constrained maximum likelihood (CML) approach as described in https://doi.org/10.3133/sir20225093. The change factors correspond to the periods 2020-59 (centered in the year 2040) and 2050-89 (centered in the year 2070) as compared to the 1966-2005 historical...
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The Florida Flood Hub for Applied Research and Innovation and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 242 NOAA Atlas 14 stations in Florida. The change factors were computed as the ratio of projected future to historical extreme-precipitation depths fitted to extreme-precipitation data from downscaled climate datasets using a constrained maximum likelihood (CML) approach as described in https://doi.org/10.3133/sir20225093. The change factors correspond to the period 2038-42 (centered in the year 2040) as compared to the 1966-2005 historical period. A Microsoft Excel workbook is provided which tabulates projected future...
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The Florida Flood Hub for Applied Research and Innovation and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 242 NOAA Atlas 14 stations in Florida. The change factors were computed as the ratio of projected future to historical extreme-precipitation depths fitted to extreme-precipitation data from downscaled climate datasets using a constrained maximum likelihood (CML) approach as described in https://doi.org/10.3133/sir20225093. The change factors correspond to the periods 2020-59 (centered in the year 2040), and 2050-89 (centeredin the year 2070) as compared to the 1966-2005 historical period. A Microsoft Excel workbook is provided...
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The Florida Flood Hub for Applied Research and Innovation and the U.S. Geological Survey have developed projected future change factors for precipitation depth-duration-frequency (DDF) curves at 242 NOAA Atlas 14 stations in Florida. The change factors were computed as the ratio of projected future to historical extreme-precipitation depths fitted to extreme-precipitation data from downscaled climate datasets using a constrained maximum likelihood (CML) approach as described in https://doi.org/10.3133/sir20225093. The change factors correspond to the period 2020-59 (centered in the year 2040) as compared to the 1966-2005 historical period. A Microsoft Excel workbook is provided which tabulates projected future...
Public data releases by the U.S. Geological Survey Caribbean-Florida Water Science Center for 2017
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Statistical analyses and maps representing mean, high, and low water-level conditions in the surface water and groundwater of Miami-Dade County were made by the U.S. Geological Survey, in cooperation with the Miami-Dade County Department of Regulatory and Economic Resources, to help inform decisions necessary for urban planning and development. Sixteen maps were created that show contours of (1) the mean of daily water levels at each site during October and May for the 2000-2009 water years; (2) the 25th, 50th, and 75th percentiles of the daily water levels at each site during October and May and for all months during 2000-2009; and (3) the differences between mean October and May water levels, as well as the differences...
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Statistical analyses and maps representing mean, high, and low water-level conditions in the surface water and groundwater of Miami-Dade County were made by the U.S. Geological Survey, in cooperation with the Miami-Dade County Department of Regulatory and Economic Resources, to help inform decisions necessary for urban planning and development. Sixteen maps were created that show contours of (1) the mean of daily water levels at each site during October and May for the 2000-2009 water years; (2) the 25th, 50th, and 75th percentiles of the daily water levels at each site during October and May and for all months during 2000-2009; and (3) the differences between mean October and May water levels, as well as the differences...
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Statistics of daily water levels recorded at monitoring sites in or near Miami-Dade County, Florida, during the 1974—2009 water years ( a period of 13,149 days). [GW, groundwater; NPS, National Park Service; SFWMD, South Florida Water Management District; SW, surface water; USGS, U.S. Geological Survey. All data adjusted to the North American Vertical Datum of 1988. Latitude and longitude are in decimal degrees.]
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This dataset contains measurements of dissolved oxygen concentrations collected at Caño Boquerón in Cabo Rojo, and Puerto Mosquito, Isla de Vieques, Puerto Rico. The method consists of in-situ incubation of two light-and-dark bottles for approximately four hours. Dissolved oxygen concentrations were determined using the Winkler method. A total of twelve monthly in-situ incubations were conducted from July 2015 to July 2016. For each bottle incubated, two or three titrations were conducted and an average of the DO calculations is presented.
Public data releases by the U.S. Geological Survey Caribbean-Florida Water Science Center for 2020
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This dataset is a polyline shapefile containing bathymetric contours, at 1-meter intervals, of Lago Guayabal, Villalba, Puerto Rico. The contours were generated from bathymetric data collected during a sedimentation survey conducted during the period December 11- December 14, 2017 by the Puerto Rico office of the Caribbean-Florida Water Science Center of the U.S. Geological Survey (USGS). The goals of the survey were to determine reservoir infill sedimentation rates, generate a bathymetric map of the reservoir, and create a stage-volume relation. Field techniques used during the survey were similar to those outlined by Soler-López (2008) and Wilson and Richards (2006). More than 270,000 water-depth points were surveyed...
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Conductivity, temperature, and salinity data were collected from two offshore submarine pockmarks, Miami Pockmark and Key Biscayne Pockmark. A series of dives were performed to gather conductivity, temperature, and salinity data using an autonomous underwater vehicle (AUV) with a Conductivity, Temperature and Depth (CDT) instrument. These data were collected between May 5-8, 2016 using a Bluefin B12 AUV equipped with a CDT and an onboard calibrated Kearfott T-24 Inertial Navigation System (INS) aided by a GPS Wide Area Augmentation System (WAAS), 600 kHz RDI Doppler Velocity Log (DVL) and a Valeport sound velocity meter. The conductivity, temperature, and salinity data collected from Miami Pockmark and Key Biscayne...
The U.S. Geological Survey (USGS), in cooperation with the Puerto Rico Environmental Quality Board, has compiled a series of geospatial datasets for Puerto Rico to be implemented into the USGS StreamStats application (https://streamstats.usgs.gov/ss/). These geospatial datasets, along with basin characteristics datasets for Puerto Rico published as a separate USGS data release (https://doi.org/10.5066/P9HK9SSQ), were used to delineate watersheds and develop the peak-flow and low-flow regression equations used by StreamStats. The geospatial dataset described herein are the digital elevation model rasters from NED, at a 10-m resolution, elevations in centimeters. Data are partitioned into four TIFF files, one for...
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U.S. Geological Survey, in cooperation with Miami-Dade County, performed a sequential, aquifer stress test from August 15 to October 12, 2011, on the Floridan aquifer system at the North District Wastewater Treatment Plant, in Miami-Dade County, Florida. Miami-Dade County stressed the Floridan aquifer system with four municipal injection wells at the North District. The U.S. Geological Survey measured pressure with a Level TROLL 700 from August 15, 2011, to October 12, 2011, for the upper zone of Floridan aquifer system monitoring well FA-2. These data are part of a larger data set that describe the stress test at the North District (King, 2016, http://dx.doi.org/10.5066/F7QZ2819).
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...
Public data releases by the U.S. Geological Survey Caribbean-Florida Water Science Center for 2022.
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A four-component (incoming and outgoing shortwave and longwave radiation) radiometer (model CNR1) was installed on a monitoring station (LZ40) constructed by the South Florida Water Management District (SFWMD) in the approximate center of Lake Okeechobee in Florida, located at 26 degrees 54 minutes 06.254 seconds North, 080 degrees 47 minutes 21.301 seconds West. Specific time-series collected for this data release include the following parameters with units of watts per square meter: (1) incoming shortwave radiation, (2) outgoing shortwave radiation, (3) incoming longwave radiation, and (4) outgoing longwave radiation. Instantaneous readings of each parameter were measured every 5 seconds and averaged over 15-minute...
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Bias-corrected daily precipitation at 1-kilometer (km) scale is provided for Puerto Rico. The Weather Research and Forecasting (WRF) model was used by Bowden and others (2018) to dynamically downscale the Centre National de Recherches Meteorologiques-CERFACS (CNRM) model for the historical period 1985-2005. Total hourly precipitation data (convective plus non-convective) for the innnermost domain in Bowden and others (2018; their domain 3) was aggregated to a daily timestep and then bias-corrected using Multiplicative Quantile Delta Mapping (MQDM; Cannon and others, 2015) with Daymet v4 as the observational gridded precipitation dataset (Thornton and others, 2020). The bias-corrected daily precipitation data is...
map background search result map search result map Table 6-1 Map 11 Map 02 Tomography pressure time series from August 15, 2011, to October 12, 2011, for the upper zone of Floridan aquifer system monitoring well FA-2 at the North District Wastewater Treatment Plant, Miami-Dade County, Florida In-situ incubation of light-and-dark bottles for the estimation of phytoplankton productivity in Caño Boquerón, Cabo Rojo and Puerto Mosquito, Isla de Vieques, Puerto Rico Bathymetric contours of Lago Guayabal, Puerto Rico, December 2017 Elevation rasters for Puerto Rico StreamStats Public Data Releases 2020 Radiometer data from LZ40 in Lake Okeechobee, Florida, 2021 Shapefile of Areal Reduction Factor (ARF) regions for the state of Florida (ARF_regions.shp) 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 historical precipitation depths at 174 NOAA Atlas 14 stations in central and south Florida derived from MACA downscaled climate dataset (DDF_MACA_historical.xlsx) Bias-corrected daily precipitation at 1-kilometer resolution for Puerto Rico from dynamical downscaling by the Weather Research and Forecasting (WRF) model of the Centre National de Recherches Meteorologiques-CERFACS (CNRM) model for the historical period 1985-2005 Spreadsheet of projected future precipitation depths at 170 NOAA Atlas 14 stations in Florida fitted to extreme-precipitation events derived from the Analog Resampling and Statistical Scaling Method by Jupiter Intelligence using the Weather Research and Forecasting Model (JupiterWRF) downscaled climate dataset (DDF_JupiterWRF_future_2040.xlsx) R script to create boxplots of change factors by NOAA Atlas 14 station, or for all stations in a Florida HUC-8 basin or county (create_boxplot.R) Spreadsheet of projected future precipitation depths at 242 NOAA Atlas 14 stations in Florida fitted to extreme-precipitation events derived from the LOCA2 downscaled climate dataset (DDF_LOCA2_future_2040.xlsx) Spreadsheet of historical precipitation depths at 242 NOAA Atlas 14 stations in Florida fitted to extreme-precipitation events derived from the NASA downscaled climate dataset (DDF_NASA_historical.xlsx) Bathymetric contours of Lago Guayabal, Puerto Rico, December 2017 In-situ incubation of light-and-dark bottles for the estimation of phytoplankton productivity in Caño Boquerón, Cabo Rojo and Puerto Mosquito, Isla de Vieques, Puerto Rico Map 11 Map 02 Table 6-1 Elevation rasters for Puerto Rico StreamStats Radiometer data from LZ40 in Lake Okeechobee, Florida, 2021 Bias-corrected daily precipitation at 1-kilometer resolution for Puerto Rico from dynamical downscaling by the Weather Research and Forecasting (WRF) model of the Centre National de Recherches Meteorologiques-CERFACS (CNRM) model for the historical period 1985-2005 Public Data Releases 2020 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 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 projected future precipitation depths at 170 NOAA Atlas 14 stations in Florida fitted to extreme-precipitation events derived from the Analog Resampling and Statistical Scaling Method by Jupiter Intelligence using the Weather Research and Forecasting Model (JupiterWRF) downscaled climate dataset (DDF_JupiterWRF_future_2040.xlsx) R script to create boxplots of change factors by NOAA Atlas 14 station, or for all stations in a Florida HUC-8 basin or county (create_boxplot.R) Spreadsheet of projected future precipitation depths at 242 NOAA Atlas 14 stations in Florida fitted to extreme-precipitation events derived from the LOCA2 downscaled climate dataset (DDF_LOCA2_future_2040.xlsx) Spreadsheet of historical precipitation depths at 242 NOAA Atlas 14 stations in Florida fitted to extreme-precipitation events derived from the NASA downscaled climate dataset (DDF_NASA_historical.xlsx) Shapefile of Areal Reduction Factor (ARF) regions for the state of Florida (ARF_regions.shp)