Climate Variability & Change
Working Group CVCWG
CESM2 "Single Forcing" Large Ensemble Project
The CESM2 “Single Forcing” Large Ensemble Project is a publicly available set of climate model simulations useful for
addressing the roles of individual forcings in historical and future climate change. This simulations use the same model and forcings as the
CESM2 Large Ensemble Project and, therefore, can be used to parse the
relative roles of different forcings in responses found in that ensemble where all forcings are applied together.
The ensemble members are initialized from 1850 from the same initial conditions that were used to initialize the "macro" members of the CESM2 Large Ensemble and they extend to 2050, following CMIP6 historical forcings prior to 2015 and SSP3-7.0 forcings, thereafter. Note that the smoothed biomass burning emissions that were used in the second 50 members of the CESM2 large ensemble are used, so these simulations should be compared with the second 50 members of the CESM2 large ensemble.
Four primary ensembles are available in which different forcings are time evolving
while all other forcings are held fixed at 1850's values i.e, the "only" method is used. Note that this differs from the CESM1 Large Ensemble which used the "all-but-one" method
where all forcings were evolving except the one of interest. In the CESM2 ensembles, only the forcing of interest is evolving. Four ensembles are available using the following time-evolving forcings:
- GHG = only greenhouse gases evolving (15 members)
- AAER = Only anthropogenic aerosols evolving (20 members)
- BMB = Only biomass burning aersols evolving (15 members)
- EE = everything else evolving i.e., all forcings other than greenhouse gases (15 members)
Note that by "anthropogenic aerosols" here we refer to all industrial, agricultural, domestic and transport related emissions and acknowledge that this does not
include any anthropogenic influences on biomass burning, which is instead present in the BMB ensemble. Each forcing that is time evolving in the CESM2 Large Ensemble
is time evolving in one of these four sub-ensembles to allow additivity to be tested. As discussed in the release paper cited below, substantial non-linearities
are present in the CESM2 Single Forcing Large Ensemble. As part of the investigation into this non-linearity, an additional ensemble was performed which was
initialized in 1920 of the CESM2 Large Ensemble members and run with all forcings except anthropogenic aerosols i.e., following the same "all-but-one" approach that was used in CESM1.
This demonstrated that there is considerable sensitivity of the anthropogenic aerosol forced response to the method used i.e., "all-but-one" versus "only".
We have, therefore, expanded this ensemble to a 10 member ensemble, referred to as xAER, so that any sensitivity of the anthropogenic aerosol influence to the method used can be tested.
- xAER = Everything time evolving except anthropogenic aerosols (10 members)
We kindly ask that you acknowledge the CESM project and CISL supercomputing resources (doi:10.5065/D6RX99HX) when presenting results based on the CESM2 ``Single Forcing'' Large ensembles in either oral or written form and reference the CESM2 single forcing release paper once it has been published. The release paper is currently submitted to Journal of Climate and a draft can be found here: manuscript, supplementary material.
- Simulation Names:
- AAER: b.e21.B1850cmip6.f09_g17.CESM2-SF-AAER.0XX / b.e21.B1850cmip6.f09_g17.CESM2-SF-AAER-SSP370.0XX, XX = 01-20
- BMB: b.e21.B1850cmip6.f09_g17.CESM2-SF-BMB.0XX / b.e21.B1850cmip6.f09_g17.CESM2-SF-BMB-SSP370.0XX, XX = 01-15
- EE: b.e21.B1850cmip6.f09_g17.CESM2-SF-EE.0XX / b.e21.B1850cmip6.f09_g17.CESM2-SF-EE-SSP370.0XX, XX = 01-15
- GHG: b.e21.B1850cmip6.f09_g17.CESM2-SF-GHG.0XX / b.e21.B1850cmip6.f09_g17.CESM2-SF-GHG-SSP370.0XX, XX = 01-15
- xAER: b.e21.BHISTcmip6.f09_g17.CESM2-SF-xAER.0XX / b.e21.BSSP370cmip6.f09_g17.CESM2-SF-xAER.0XX, XX = 01-10
- Model Version: CESM2.1.2 Codebase | Documentation
- Resolution: 0.9x1.25_gx1v7 (CESM nominal 1o grid)
- Years: 1850-2050 (AAER, BMB, EE and GHG), 1920-2050 (xAER)
- Ensemble Size: 20 members (AAER), 15 members(BMB, EE and GHG), 10 members (xAER)
- Time Frequencies Saved: Monthly, Daily
- Machine: NCAR:Cheyenne
- Compsets: B1850cmip6 with extensive modifications
- Additional Notes: All simulations follow the CMIP6 forcing protocols for the forcing that is evolving. The only exception is the BMB simulations where the smoothed biomass burning forcing that was
used in the second 50 members of the CESM2 large ensemble was used. This affects the late 20th and early 21st century forcing during the GFED era, so when comparing this ensemble
during this time period with the "all forcing" large ensemble, the second 50 members of the "all forcing" large ensemble should be used.
This data is available on both the NCAR Climate Data Gateway (web-access) and NCAR's casper system (NCAR-internal).
Location on NCAR's campaign store or on the NCAR machine casper:
The following are step by step directions on how to download this data from the Climate Data Gateway.
- Proceed to the CESM2 Single Forcing Large Ensemble Project page.
- Scroll to the bottom of that page under Child Datasets, and click on the component and time frequency you are interested in.
- The files are organized by variable, listed at the end of each link. Click on the variable you are interested in.
- Click on the Download Options button. At this point, if you have not logged into the Climate Data Gateway you can do so now. If you have not registered before,
registration is free and quick.
- Upon logging in you will see a file listing. Once you have identified a file that you would like to download, click on the
check box to the left of the file name. Note that you can select multiple files on this page at once. (However, one cannot select/download multiple files across variables at once.)
When you are finished selecting files, scroll to the top (or bottom) of the page and click on the Download Options for Selection box.
- Click the Request File Transfer from Archive, and choose whether to use a Curl or Wget script to download your selected data.