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The CESM2 with CMIP5 forcing is a set of climate model simulations intended to disentangle the role of forcing versus model structure between CESM2 and CESM1 for pre-industrial, 20th and 21st centuries simulations. The CESM2 has considerable changes relative to the CESM1 both in the model structure and in the forcing. In order to understand these changes and their impact on climate variability and change, simulations with CESM2 but with a forcing similar to CESM1 were performed. Simulations inc…

This is a 16 member ensemble of simulations with CESM2 under the SSP2-4.5 forcing scenario from 2015 to 2100. These simulations can be compared with the CESM2 Large Ensemble and provide the opportunity to compare and contrast change under a lower forcing scenario. One difference from the official CMIP6 SSP2-4.5 forcing is that slightly modified biomass burning emissions are used at the beginning of the simulation. As is discussed in the CESM2 Large Ensemble reference paper (Rodgers et. al. 2021…

This is a 15 member ensemble of simulations with CESM2 under the SSP5-8.5 forcing scenario from 2015 to 2100. Note, SSP5-8.5 is not considered a likely scenario - it is a high emissions scenario. These simulations can be compared with the CESM2 Large Ensemble and provide the opportunity to compare and contrast climate change under a lower forcing scenario. One difference from the official CMIP6 SSP5-8.5 forcing is that slightly modified biomass burning emissions are used at the beginning of t…

SMYLE (Seasonal-to-MultiYear Large Ensemble) is an initialized prediction system using CESM2. It consists of fully coupled initialized hindcast simulations using CESM2 component models at nominal 1 degree horizontal resolution. Hindcasts are initialized from historical reconstructions (SMYLE-FOSI for ocean and sea-ice; SMYLE-landonly for land; and JRA55 reanalysis for atmosphere) and then integrated forward 24-months. Initialization occurs quarterly (1st of each month of February, May, August, …

The CESM2 Mechanically Decoupled Model (MDM) is designed to simulate buoyancy coupled climate variability. The MDM consists of the same model components, including the dynamic ocean model POP2, as the CESM2 fully coupled model (FCM), but lacks anomalous wind stress driven ocean dynamics. Ocean variability in the MDM is therefore primarily buoyancy driven. Different from a slab ocean model (SOM) with a time invariant mixed layer depth, the MDM includes a freely evolving seasonally varying mixed …

The CESM2 Large Ensemble consists of 100 members at 1 degree spatial resolution covering the period 1850-2100 under CMIP6 historical and SSP370 future radiative forcing scenarios. Two separate sets of biomass burning emissions forcing files were used within the ensemble. Members 1-50 were forced with CMIP6 protocols identical to those used in Danabasoglu et al. (2020) in the paper for CESM2. For members 51-100, the most relevant species for biomass burning fluxes from the CMIP6 protocols were s…

This dataset contains processed data from the CESM2 single forcing large ensemble experiments as well as some CESM2 emissions files that are necessary for reproducing the figures in Simpson et al (2023) "The CESM2 Single Forcing Large Ensemble and Comparison to CESM1: Implications for Experimental Design", Journal of Climate.

These are fully-coupled CESM2/CAM6 pre-industrial control run experiments used to test the sensitivity to the new sea ice thermodynamic formulation. The only difference here is the selection of the thermodynamic formulation, by changing the ktherm namelist parameter.

This dataset includes ensemble prediction experiments using the CESM2 model. These are "perfect model prediction experiments" in which the simulations are initialized with nearly identical conditions from CESM2 simulations in the year 2030 and then integrated forward for two years. Ensemble prediction sets are initialized on January 1, March 1, May 1, July 1, September 1, and November 1. Five different initial conditions, taken from five different CESM2 simulations, are used for each initializa…

This dataset includes ensemble prediction experiments using the CESM2 model. These are "perfect model prediction experiments" in which the simulations are initialized with nearly identical conditions from CESM2 historical simulations in the year 2010 and then integrated forward for two years. Ensemble prediction sets are initialized on January 1, March 1, May 1, July 1, September 1, and November 1. Five different initial conditions, taken from five different CESM2 historical simulations, are us…