In total, there are 100 unique ensemble members across four large ensembles (CanESM2, CESM-LENS, GFDL, MPI-GE). Testbed data can be downloaded from https://figshare.com/collections/Large_ensemble_pCO2_testbed/4568555.
The large ensemble testbed data are a collection of randomly selected ensemble members from 4 the following large ensemble projects:
- CanESM2 (http://data.ec.gc.ca/data/climate/scientificknowledge/the-eccc-climate-model-datasets-for-climate-science-and-impacts-research/the-canadian-earth-system-model-large-ensembles/)
- CESM-LENS (http://www.cesm.ucar.edu/projects/community-projects/LENS/)
- GFDL ( http://poseidon.princeton.edu)
- MPI-GE (https://mpimet.mpg.de/en/grand-ensemble/)
Analysis scripts in python are provided to produce from these model output the figures of Gloege et al. (2021). See "Data Files" for access to the analysis scripts. The “Notebooks” directory includes notebooks to create each figure, and are labeled by figure. The “Scripts” and “Processing_scripts” directories include auxiliary scripts.
Each ensemble member was interpolated from its native grid to a 1x1 degree lat/lon grid. The variables are monthly over the 1982-2017 time frame and sampled as the SOCATv5 data product. Historical atmospheric CO2 is used up to 2005 with RCP8.5 after 2005.
Gap-filling techniques can be evaluated across 100 unique climate states.
The methodology is an earth system model (ESM) large ensemble. The ESM is initialized with small perturbations such that the climate state evolves along a different phase of internal variability in each ensemble member. The forcing scenario is historical through 2005, then RCP8.5 after.
For more methodology details refer to the following publications.
MPI ocean pCO2 testbed:
N. Maher, et al., Th e Max Planck Institute Grand Ensemble-Enabling the Exploration of Climate System Variability. Journal of Advances in Modeling Earth Systems 11, 2050–2069 (2019).
GFDL ocean pCO2 testbed:
K. B. Rodgers, J. Lin, T. L. Frölicher, Emergence of multiple ocean ecosystem drivers in a large ensemble suite with an Earth system model. Biogeosciences 12, 3301–3320 (2015).
CESM ocean pCO2 testbed:
J. E. Kay, et al., The Community Earth System Model (CESM) large ensemble project: A community resource for studying climate change in the presence of internal climate variability. Bulletin of the American Meteorological Society 96, 1333–1349 (2015).
CanESM2 ocean pCO2 testbed:
J. C. Fyfe, et al., Large near-term projected snowpack loss over the western United States. Nature communications 8, 14996 (2017).
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