Download as a comma-delimited file (CSV), Metric units only (Temp: °C; Precip & Pot Evap: mm)
Download Monthly Data (CSV)This display shows a a series of climate simulations from the CMIP6 Climate Model Ensembles and are a collection of the best simulations from each center's model participating in CMIP6.
The output from these models were 'downscaled' from the global to regional scale using the Localized Constructed Analog Method (LOCA) by Pierce et al. (2023).
The results for the downscaling have been averaged over State Climate Divisions chosen by the user.
The user may select a variable from the pulldown menus, and also select a future 30-year period by which to view the monthly trends and compare them to a fixed historical period (1981-2010).
Drought indicies were prodiuced with the python Climate Indicies package developed by James Adams.
Pierce, D.W., D.R. Cayan, D.R. Feldman, and M.D. Risser, 2023: Future increases in North American extreme precipitation in CMIP6 downscaled with LOCA, Journal of Hydrometeorology, 24(5), 951-975, doi:10.1175/JHM-D-22-0194.1.
Adams, J., 2026: climate_indices, an open source Python library providing reference implementations of commonly used climate indices, Version 2.3, Retrieved from https://github.com/monocongo/climate_indices.