Published February 11, 2026 | Version v1
Dataset Open

WRF Dynamical Downscaling Dataset for the U.S. Midwest (2065–2069): ARISE-SAI vs. SSP2-4.5 Scenarios

Authors/Creators

  • 1. ROR icon Indiana University Bloomington

Contributors

  • 1. ROR icon Indiana University Bloomington

Description

This dataset contains high-resolution (3-km) dynamical downscaling simulations for the U.S. Midwest, generated using the Weather Research and Forecasting (WRF) model.

The simulations bridge the gap between global climate projections and regional-scale impacts, specifically comparing a stratospheric aerosol injection (SAI) intervention scenario against a standard greenhouse gas warming pathway.

The data were produced by downscaling the Community Earth System Model version 2 (CESM2) as part of the research presented in Nguyen et al. (2026). The study evaluates the regional signals of extreme precipitation under climate intervention.

Temporal and Spatial Scope

  • Region: U.S. Midwest domain.

  • Period: 2065–2069.

  • Horizontal Resolution: 3 km.

  • Frequency: Daily and Monthly means.

File Descriptions and Variables

The dataset includes the following NetCDF (.nc) files:

File Name Variable(s) Frequency Scenario
PRECT.h1.WRF.ARISE.SAI.3km.nc Total Precipitation Daily ARISE-SAI
PRECT.h1.WRF.SSP2.45.3km.nc Total Precipitation Daily SSP2-4.5
PRECT.h1.WRF.ARISE.SAI.3km_monmean.nc Total Precipitation Monthly ARISE-SAI
PRECT.h1.WRF.SSP2.45.3km_monmean.nc Total Precipitation Monthly SSP2-4.5
T2.WRF.ARISE.SAI_used.nc 2m Temperature Monthly ARISE-SAI
T2.WRF.SSP2.45_used.nc 2m Temperature Monthly SSP2-4.5

Methodology

The WRF simulations were forced by 3-hourly atmospheric and surface fields from CESM2. The CESM2 experiments are ARISE-SAI (Assessing Responses and Impacts of Solar climate intervention on the Earth system with Stratospheric Aerosol Injection) and the Shared Socioeconomic Pathway 2-4.5 (SSP2-4.5) reference scenario.

References

Nguyen, T., Kravitz, B., Hurrell, J. W., Rasmussen, K. L., O’Brien, T. A., Ficklin, D. L., Visioni, D., Sun, L., Li, T., "Dynamical downscaling for Solar geoengineering: U.S. Midwest extreme precipitation signals and implications for future simulations," Geophysical Research Letters, 2026 (In preparation).

Files

Files (3.8 GB)

Name Size Download all
md5:cde2ac0206d6f4e8334e0c35261bf10b
1.8 GB Download
md5:792c179c805ae73307618545626085bf
60.2 MB Download
md5:ea0b7f993be647212b5a30270af210a9
1.8 GB Download
md5:39f7818166f7e7434897c65bea6bdea0
60.2 MB Download
md5:1b0af65935880215a6d7f675a9cbeb4a
29.6 MB Download
md5:74bab75134bbf30a9e46c1692d218153
29.6 MB Download

Additional details

Related works

Is supplement to
Software: 10.5281/zenodo.18603802 (DOI)

Dates

Other
2065-01-01
to 2069-12-31

References

  • Climate Modeling, WRF, CESM2, ARISE-SAI, SSP2-4.5, Dynamical Downscaling, U.S. Midwest, Extreme Precipitation, Solar Geoengineering.