20240725
12403800
1.0
FALSE
NCA4_HEAT95F_MID
30898.393648
824698.984845
39289.559864
788371.811355
1
ArcSDE Connection
002
Projected
GCS_North_American_1983_HARN
Linear Unit: Meter (1.000000)
NAD_1983_HARN_Florida_GDL_Albers
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20240812
15540300
20240812
15540300
1500000005000
dataset
20240812
0.000Florida Geographic Data Library (FGDL)431 Architecture PO Box 115706Web site: http://www.fgdl.orgGainesvilleFL32611-5706USNoneDOWNLOADABLE DATAhttps://www.fgdl.org/Enterprise Geodatabase Raster Dataset
Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.3.0.52636Simulated Change in Annual Days Above 95 Degrees Fahrenheit for Mid Century (2036–2065) 2024-08-12T00:00:00State of Florida1-87.869399-79.54823131.10384624.289604This dataset represents the simulated change in the annual number of days above 95 degrees Fahrenheit for the mid century (2036–2065), as compared to 1976–2005. This simulation uses the lower emissions scenarios - Representative Concentration Pathway (RCP) 4.5.<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This dataset represents the simulated change in the annual number of days above 95 degrees Fahrenheit for the early century (2016–2045), as compared to 1976–2005. This simulation uses the lower emissions scenarios - Representative Concentration Pathway (RCP) 4.5.</SPAN></P><P><SPAN>This data was derived from the Coupled Model Intercomparison Project Phase 5 (CMIP5), downscaled using Localized Constructed Analogs (LOCA), for a subset of climate variables. LOCA uses statistical techniques to correct global climate model data for biases and downscale those data to a 1/16th degree spatial resolution. The Localized Constructed Analogs (LOCA) data set was developed by the University of San Diego Scripps Institution of Oceanography. The LOCA derived data, which this GIS dataset was created from, was developed by the National Climate Assessment (NCA) Technical Support Unit for use in the Fourth NCA (NCA4). The University of Florida GeoPlan Center downloaded the NCA4 derived data and converted it to GIS format. </SPAN></P></DIV></DIV></DIV>North Carolina State University, North Carolina Institute for Climate Studies (LOCA-derived data).
Localized Constructed Analogs (LOCA) data set - University of San Diego Scripps Institution of Oceanography
Pierce, D.W., D.R. Cayan, and B.L. Thrasher, 2014: Statistical downscaling using Localized Constructed Analogs (LOCA), J. Hydrometeorology, 15, 2558-2585. doi:10.1175/JHM-D-14-0082.1
Pierce, D.W., D.R. Cayan, E.P. Maurer, J.T. Abatzoglou, and K.C. Hegewisch, 2015: Improved bias correction techniques for hydrological simulations of climate change. J. Hydrometeorology, 16, 2421-2442. doi:10.1175/JHM-D-14-0236.1
More information on CMIP5 can be found at: https://cmip.llnl.gov/cmip5/
More information on the LOCA dataset can be found at: http://loca.ucsd.edu/
extreme heatclimate changeDownloaded from https://scenarios.globalchange.gov/loca-viewer/Crystal GoodisonGeoPlan<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>None</SPAN></P></DIV></DIV></DIV>The Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation.
Spatial and Attribute InformationDownloaded data as NetCDF files from the LOCA viewer: https://scenarios.globalchange.gov/loca-viewer/
Selected the LOCA Derived Variable: "Annual Number of Days > 95 degrees F"
Downloaded: Lo, Mid 21st (wrcp45-2) — Lower Emissions simulated change for 2036–2065, compared to 1976–2005
tmax95F-rcp45_w2036-2065.tar.gz
Converted the NetCDF file to Multidimensional (MD) Raster
Converted to MD rasters to tiff and clipped to Florida boundary
Converted the tiffs from floating point to integer
Projected raster to EPSG 3087
2024-06-30T00:00:00This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology.This data is provided 'as is' by GeoPlan and is complete to our knowledge.GeoPlan relied on the integrity of the attribute information within the original data.This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlan.This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan.0
EPSG6.12(9.2.0)
NCA4_HEAT95F_MIDTable65NCA4_HEAT95F_MIDGeoPlanOBJECTIDOBJECTIDOID4100Internal feature number.EsriSequential unique whole numbers that are automatically generated.ValueVALUEInteger4100Change in annual days above 95 degrees Fahrenheit for 2036-2065, as compared to 1976-2005 University of San Diego Scripps Institution of OceanographyCountCOUNTDouble8388The number of cells in the raster dataset with the cell value in the VALUE columnGeoPlanDESCRIPTDESCRIPTSmallInteger250FGDL added field based on Value.GeoPlanMissing value/grid point over water, value = -999