Dynamically downscaled CMIP5 climate projection data for Minnesota

Loading...

Persistent link to this item

https://doi.org/10.13020/YV29-JY19
https://hdl.handle.net/11299/226148

Statistics

View Statistics

Keywords

Dynamical downscaling

Weather Research and Forecasting (WRF) model

Regional climate change

Cropland simulations

Collection period

Date completed

Date updated

Time period coverage

Geographic coverage

Source information

Journal Title

Journal ISSN

Volume Title

Title

Dynamically downscaled CMIP5 climate projection data for Minnesota

Published Date

2022-01-25

Authors

Liess, Stefan

Twine, Tracy E

Snyder, Peter K

Hutchison, William D

Konar-Steenberg, Gabriel

Keeler, Bonnie L

Brauman, Kate A

Group

Author Contact

Liess, Stefan
liess@umn.edu

Type

Dataset
Simulation Data

Abstract

This dataset contains climate projections over Minnesota at 10 km horizontal resolution. Eight CMIP5 global climate models have been dynamically downscaled with the regional WRF model for the periods 1980-1999, 2040-2059, and 2080-2099, with the latter being represented as a moderate (RCP4.5) and also as an extreme "business as usual" scenario (RCP8.5). The projections suggest ongoing warming in all seasons, especially in winter, as well as reduced snow depth and fewer days with snow cover. Significant increases in spring and early summer heavy precipitation events are expected. The other variables in this dataset are daily max. and min. temperatures, relative humidity, latent heat flux (as proxy for evaporation), sensible heat flux, ground heat flux, incoming solar radiation, total radiation, snow depth, and wind speed. Temperatures, precipitation, and snow depth are also available as bias adjusted. Results indicate a climate near the end of the 21st century that is significantly different from what has been observed by the end of the 20th century. Winters and summers are expected to be up to 6C and 4C warmer, respectively, and spring precipitation may increase by more than 1 mm per day over northern Minnesota. Winter snow depth is projected to decrease by more than 12 cm and the number of days per year with snow depth of more than 2.54 cm (one inch) is expected to decrease by up to 55. These results are expected to influence regional decision-making related to agriculture, infrastructure, water resources, and other sectors.

Description

The four zip folders contain eight files each in netCDF format (one per input CMIP5 model) of daily model output dynamically downscaled with the WRF regional model (Skamarock et al. 2008) over the 20-year periods historical_1980-1999, RCP4.5_2040-2059, RCP4.5_2080-2099, and RCP8.5_2080-2099. File names are structured as follows: <scenario>_<model>_<years>_WRF.nc (example: historical_bcc-csm1-1_1980-1999_WRF.nc) More information on the scenarios can be found in van Vuuren et al. (2011), and the downscaling results are summarized in Liess et al. (2022). Liess, S., and Coauthors, 2022: High-resolution Climate Projections over Minnesota for the 21st Century. Earth and Space Science, https://www.essoar.org/doi/10.1002/essoar.10507340.2 Skamarock, W. C., and Coauthors, 2008: A description of the Advanced Research WRF version 3. National Center for Atmospheric Research, 125 pp. van Vuuren, D. P., and Coauthors, 2011: The representative concentration pathways: an overview. Clim. Change, 109, 5–31, https://doi.org/10.1007/s10584-011-0148-z.

Referenced by

https://doi.org/10.1029/2021EA001893

Related to

Replaces

License

CC0 1.0 Universal
http://creativecommons.org/publicdomain/zero/1.0/

Publisher

Collections

Data Repository for U of M (DRUM)

Funding information

Legislative-Citizen Commission on Minnesota Resources Grant Number:M.L. 2014,Chp. 312,Sec. 8
Minnesota Environment and Natural Resources Trust Fund Grant Number:M.L. 2015,Chp. 76,Sec. 2,Subd. 04a

item.page.sponsorshipfunderid

item.page.sponsorshipfundingagency

item.page.sponsorshipgrant

Previously Published Citation

Suggested citation

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 (DRUM), https://doi.org/10.13020/YV29-JY19.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.