Modeled Monthly Temperature Metrics (RCP 4.5), Wisconsin 2081-2100
Georeferenced: false
- Description:
- Resource provided by UW-Madison Robinson Map Library. 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 2081-2100 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. A how-to video on using this data is available from GeoData@Wisconsin: https://geodata.wisc.edu/pages/videos.
- Creator:
- Dr. Eric Compas, University of Wisconsin-Whitewater
- Publisher:
- Dr. Eric Compas, University of Wisconsin-Whitewater
- Provider:
- University of Wisconsin-Madison
- Resource Class:
- Datasets
- Resource Type:
- Raster data
- Subject:
- Atmospheric Sciences, Environment, Geoscientific Information, Health, and Planning and Cadastral
- Temporal Coverage:
- 2081-2100
- Date Issued:
- Spatial Coverage:
- Wisconsin
- Access Rights:
- Public
- Format:
- Multiple Formats