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Modeled monthly temperature metrics (RCP 4.5), Wisconsin 2041-2060
- Identification Information
- Spatial Reference Information
- Data Quality Information
- Distribution Information
- Content Information
- Spatial Representation Information
- Metadata Reference Information
Identification Information
- Citation
- Title
- Modeled monthly temperature metrics (RCP 4.5), Wisconsin 2041-2060
- Originator
- Dr. Eric Compas, University of Wisconsin-Whitewater
- Creation Date
- 2023-01-23
- Publication Date
- 2023-01-23
- Geospatial Data Presentation Form
- mapDigital
- Collection Title
- Climate
- Abstract
- This raster dataset contains a simplified version of the probabilistic downscaled climate modeling data produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group. This dataset contains several temperature metrics averaged by month across a 20-year period from 2041-2060 for the Representative Concentration Pathway (RCP) 4.5 model. These metrics include average maximum temperature, average minimum temperature, and inter-model standard deviation for both minimum and maximum temperature. In addition, the data includes the estimated number of days per month that meet commonly used thresholds: the days where the maximum temperature exceeds 90 F, 95 F, or 100 F; the days where the minimum temperature exceeds 70 F or falls below 32 F or 0 F; and the "comfortable" days where the maximum temperature lies between 70 and 85 F. The spatial resolution of the data is 0.1 x 0.1 degrees (approximately 6x6 miles on the ground). More details about the original data this is derived from can be found at https://registry.opendata.aws/noaa-uwpd-cmip5/ and the WICCI's two climate assessment reports from 2011 and 2021 (available at https://wicci.wisc.edu/). The python code used to produce this simplified version is available at https://github.com/TheGeographer/DownscaledClimateData.
- Purpose
- The goal is to provide probabilistic downscaled climate modeling data in a Geographic Information Systems (GIS)-friendly format that allows practitioners, researchers, and businesses to access future climate models for specific purposes. This data can be used (along with other modeled climate data included in this package) to compare modeled temperatures to historic conditions or to evaluate the likelihood of extreme weather events such as heat waves.
- Supplemental Information
- This is an archived copy of the data held at UW-Madison. For detailed variable definitions please review the full data dictionary: https://gisdata.wisc.edu/public/metadata/includes/WI_Downscaled_Climate_Data_Dictionary_Temp.pdf In addition, please refer to the Downscaled Climate Data User Guide for more information about how to view and analyze these data: https://gisdata.wisc.edu/public/metadata/includes/Guide to using downscaled climate data.pdf (The user guide and data dictionary are also included with individual file downloads).
- Temporal Extent
- Currentness Reference
- Provided metrics represent monthly average across a 20-year window (2041-2060). Note that within ESRI's time tools, the monthly value displays as the 15th of the month even though the whole month is reflected in the metric.
- Time Period
- Begin
- 2041-01-01T00:00:00
- End
- 2060-12-31T00:00:00
- Bounding Box
- West
- -92.950002
- East
- -86.750006
- North
- 47.149998
- South
- 42.350002
- ISO Topic Category
- climatologyMeteorologyAtmosphere
- environment
- geoscientificInformation
- health
- planningCadastre
- Place Keyword
-
Wisconsin
- Place Keyword Thesaurus
- Temporal Keyword
- 2041-2060
- Theme Keyword
-
climate change
- Theme Keyword Thesaurus
- Resource Constraints
- Use Limitation
- These data are based on 22-24 Global Climate Model(s) (GCMs) as part of the Coupled Model Intercomparison Project Phase 5 (CMIP5) global modelling effort. While these models generally agree on the degree and timing of changing temperature and precipitation, they differ for some metrics and seasons in Wisconsin, and, as such, the average values in this simplified version hides some of the variability in the underlying models. This data should be used with this uncertainty in mind.
- Resource Constraints
- Use Limitation
- Although this data is being distributed by the University of Wisconsin-Madison, no warranty expressed or implied is made by the University as to the accuracy of the data and related materials. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the University in the use of this data, or related materials.
- Maintenance and Update Frequency
- notPlanned
- Language
- eng
- Credit
- The aggregation and conversion to this GIS-friendly format was conducted by Dr. Eric Compas, UW-Whitewater, compase@uww.edu The original probabilistic downscaled climate data was produced by the Wisconsin Initiative on Climate Change Impacts' (WICCI) Climate Working Group including Dr. Steve Vavrus, sjvavrus@wisc.edu, Dr. David Lorenz, dlorenz@wisc.edu, and Dr. Dan Vimont, dvimont@wisc.edu.
- Point of Contact
- Contact
- Dr. Eric Compas, University of Wisconsin-Whitewater
- Position Name
- Professor, Department of Geography, Geology, and Environmental Sciences
Spatial Reference Information
- Reference System Identifier
- Code
- 4326
- Code Space
- EPSG
- Version
- 6.2(3.0.1)
Data Quality Information
- Quantitative Attribute Accuracy Report
- Evaluation Method
- To validate the data within this dataset, multiple derived products, e.g. total number of days with temperature above 95 F, were compared between this dataset and the data produced by the WICCI Climate Working Group. Despite using different methods to aggregate the data, there are only minor differences between these two datasets.
- Lineage
- Statement
- The original downscaled probabilistic data is available at https://registry.opendata.aws/noaa-uwpd-cmip5/ and was provided to Dr. Compas directly by the WICCI Climate Working Group. These data were processed using a Python script (available at https://github.com/TheGeographer/DownscaledClimateData). Please see this code repository for details. In summary, the individual daily netCDF files for each twenty-year period and climate model, e.g. RCP4.5, are loaded into a large matrix for summarizing. From this matrix, the monthly averages and estimated number of days meeting temperature thresholds are calculated. Finally, the script exports a simplified netCDF of the results. This netCDF file was imported into ArcGIS Pro (version 2.9.5) and converted into ESRI's cloud raster format (CRF) for distribution.
- Process Step
- Description
- Archived data at UW-Madison
- Process Date
- 2023-01-25T00:00:00
Distribution Information
- Format Name
- Cloud Raster Format (CRF)
- Format Version
- 1.0
- Distributor
- University of Wisconsin-Madison
- Online Access
- https://gisdata.wisc.edu/public/temp_rcp45_2041-2060_monthly.crf.zip
- Protocol
- WWW:DOWNLOAD-1.0-http—download
- Name
- GeoData@Wisconsin
- Function
- download
Content Information
- Content Type
- image
Spatial Representation Information
- Raster
- Number of Dimensions
- 2
- Column Count
- 62
- Row Count
- 48
- Cell Geometry Type
- area
- Corner Points
- Point
- -92.950002 42.350002
- Point
- -92.950002 47.149998
- Point
- -86.750006 47.149998
- Point
- -86.750006 42.350002
- Center Point
- -89.850004 44.750000
Metadata Reference Information
- Hierarchy Level
- dataset
- Metadata File Identifier
- B24E7AEB-29C0-4AD2-B042-E00BB3C3B679
- Metadata Date Stamp
- 2023-02-28
- Metadata Standard Name
- ISO 19139 Geographic Information - Metadata - Implementation Specification
- Metadata Standard Version
- 2007
- Character Set
- utf8