This readme.txt file was generated on 20221014 by Tracy E Twine Recommended citation for the data: Twine, Tracy, E; Birkel, Jonathan F H; Liess, Stefan; Kalkstein, Larry S; Sheridan, Scott. (2022). Spatial synoptic classifications projected for the 21st century in Minneapolis-St Paul, Minnesota. Retrieved from the Data Repository for the University of Minnesota, https://doi.org/10.13020/MCVZ-DX50. ------------------- GENERAL INFORMATION ------------------- 1. Title of Dataset Spatial synoptic classifications projected for the 21st century in Minneapolis-St Paul, Minnesota 2. Author Information Principal Investigator Contact Information Name: Tracy E Twine Institution: University of Minnesota Address: Dept of Soil, Water, and Climate, 1991 Upper Buford Cir, 439 Borlaug Hall, St Paul, MN 55108 Email: twine@umn.edu ORCID: 0000-0002-8457-046X 3. Date published or finalized for release: 20221014 4. Date of data collection: SSC algorithm and data analysis performed 2020 & 2021 5. Geographic location of data collection (where was data collected?): simulated data valid for Minneapolis-St Paul International airport 6. Information about funding sources that supported the collection of the data: This work was supported by U.S. Department of Agriculture National Institute for Food and Agriculture, grant number 2019-67019-30463, and the Department of Soil, Water, and Climate Allmaras-Howe Fellowship, University of Minnesota. 7. Overview of the data (abstract): This dataset consists of (1) CMIP5 climate projections from 8 global climate models through the 21st century, downscaled with the Weather Research Forecast model, output into time series for the model grid cell containing the Minneapolis-St Paul International airport, and (2) spatial synoptic classifications for this climate dataset, under RCP4.5 and RCP8.5 emissions scenarios. -------------------------- SHARING/ACCESS INFORMATION -------------------------- 1. Licenses/restrictions placed on the data: Attribution-NonCommercial 4.0 International (https://creativecommons.org/licenses/by-nc/4.0/) 2. Links to publications that cite or use the data: Birkel, Jonathan F.H., Tracy E. Twine, Stefan Liess, Larry S. Kalkstein, Scott Sheridan. (2022). Trends in synoptic heat events in four Minnesota urban areas through the 21st century, Urban Climate, Volume 46: 101307. https://doi.org/10.1016/j.uclim.2022.101307 3. Was data derived from another source? Yes If yes, list source(s): Dynamically downscaled data for the entire state of Minnesota can be found at: Liess, Stefan; Twine, Tracy E; Snyder, Peter K; Hutchison, William D; Konar-Steenberg, Gabriel; Keeler, Bonnie L; Brauman, Kate A. (2022). Dynamically downscaled CMIP5 climate projection data for Minnesota. Retrieved from the Data Repository for the University of Minnesota, https://doi.org/10.13020/YV29-JY19. Dataset is described in the following publication: Liess, S., Twine, T. E., Snyder, P. K., Hutchison, W. D., Konar-Steenberg, G., Keeler, B. L., & Brauman, K. A. (2022). High-resolution climate projections over Minnesota for the 21st century. Earth and Space Science, 9, e2021EA001893. https://doi.org/10.1029/2021EA001893 4. Terms of Use: Data Repository for the U of Minnesota (DRUM) By using these files, users agree to the Terms of Use. https://conservancy.umn.edu/pages/drum/policies/#terms-of-use --------------------- DATA & FILE OVERVIEW --------------------- 1. File List A. Filename: climate_xxxx-xxxx_RCPyy_GCMzz.csv Short description: CMIP5 climate projections valid for the 20-year period where xxxx-xxxx is start and end year of WRF runs. RCPyy denotes the scenario, either RCP4.5 or RCP8.5 (historical filenames will not contain RCPyy) GCMzz is the particular CMIP5 model that has been downscaled for the model grid cell containing the Minneapolis-St Paul International airport according to this chart: 1 bcc-ccsm1 2 ccsm4 3 cmcc-cm 4 cnrm-cm5 5 gfdl-esm2m 6 ipso-cm5a 7 miroc5 8 mri-cgcm3 B. Filename: SSC_xxxx-xxxx_RCPyy_GCMzz.csv Short description: SSC daily weather type valid for the 20-year period where xxxx-xxxx is start and end year of WRF runs. RCPyy denotes the scenario, either RCP4.5 or RCP8.5 (historical filenames will not contain RCPyy) GCMzz is the particular CMIP5 model that has been downscaled for the model grid cell containing the Minneapolis-St Paul International airport 2. Relationship between files: Climate files are input to the algorithm and SSC is output. -------------------------- METHODOLOGICAL INFORMATION -------------------------- 1. Description of methods used for collection/generation of data: Climate projections at 10km spatial resolution valid at grid cell containing MSP International Airport were used to drive the SSC algorithm to create a time series of synoptic classifications for each day of each simulation period (baseline of 1980-1999, 2040-2059, and 2080-2099) for two scenarios, RCP4.5 and RCP8.5 2. Methods for processing the data: Statistical tests of significance were performed on the data, please see https://doi.org/10.1016/j.uclim.2022.101307 for more details. Routines used to process and analyze the data are freely available at https://github.com/JonathanBirkel/MN_SynopticWarming 3. Instrument- or software-specific information needed to interpret the data: Standard comma-delimited files 4. Standards and calibration information, if appropriate: N/a 5. Environmental/experimental conditions: N/a 6. Describe any quality-assurance procedures performed on the data: N/a 7. People involved with sample collection, processing, analysis and/or submission: Birkel, Jonathan F. H. Tracy E. Twine Stefan Liess Larry S. Kalkstein Scott Sheridan ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: climate_xxxx-xxxx_RCPyy_GCMzz.csv ----------------------------------------- 1. Number of variables: 5 plus date and time in first column (YYYYMMDD) 2. Number of cases/rows: 7304 rows for 20 years of 6-hourly data each day of year; there are data for four time periods each day (6-hourly data at 0300, 0900, 1500, 2100 local time (CT))--variables repeat four times in each row so that each row is one day 3. Missing data codes: 0.0 some GCM data did not provide SLP or a wind direction 4. Variable List A. Name: T Description: air temperature at 2 m height (degrees Celsius) in 2nd column of files B. Name: DP Description: dew point temperature at 2 m height (degrees Celsius) in 3rd column of files C. Name: SLP Description: sea level pressure (mb) (not available for all GCMs) in 4th column of files D. Name: U-wind Description: wind speed component in the x-direction (m/s) (not available for all GCMs) in 5th column of files E. Name: V-wind Description: wind speed component in the y-direction (m/s) (if wind direction is not available for a particular GCM, this field will show wind speed) in 6th column of files ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: SSC_xxxx-xxxx_RCPyy_GCMzz.csv ----------------------------------------- 1. Number of variables: 1 plus Mxx in first column where xx is numbered GCM/scenario (just numerical), and date and time in second column (YYYYMMDD) 2. Number of cases/rows: 7305 rows for 20 years of daily data; **Because this data is simulated and does not contain variations of air pressure throughout a day, there are NO transition types in this dataset. 3. Missing data codes: 80 or 00 day is missing 4. Variable List A. Name: SSC Description: weather type for the day Please see for more information on the SSC: https://sheridan.geog.kent.edu/ssc3.html CODE: 10 = Dry Moderate 20 = Dry Polar 30 = Dry Tropical 40 = Moist Moderate 50 = Moist Polar 60 = Moist Tropical 70 = Transition 80 or 00 = Day is missing