ClimateBench v1. 0: A Benchmark for Data‐Driven Climate Projections

Many different emission pathways exist that are compatible with the Paris climate agreement, and many more are possible that miss that target. While some of the most complex Earth System Models have simulated a small selection of Shared Socioeconomic Pathways, it is impractical to use these expensive models to fully explore the space of possibilities. Such explorations therefore mostly rely on one‐dimensional impulse response models, or simple pattern scaling approaches to approximate the physical climate response to a given scenario. Here we present ClimateBench—the first benchmarking framework based on a suite of Coupled Model Intercomparison Project, AerChemMIP and Detection‐Attribution Model Intercomparison Project simulations performed by a full complexity Earth System Model, and a set of baseline machine learning models that emulate its response to a variety of forcers. These …

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@article{watson2022climatebench,
  title={ClimateBench v1. 0: A Benchmark for Data-Driven Climate Projections},
  author={Watson-Parris, Duncan and Rao, Yuhan and Olivi{\'e}, Dirk and Seland, {\O}yvind and Nowack, Peer and Camps-Valls, Gustau and Stier, Philip and Bouabid, Shahine and Dewey, Maura and Fons, Emilie and others},
  journal={Journal of Advances in Modeling Earth Systems},
  volume={14},
  number={10},
  pages={e2021MS002954},
  year={2022},
  publisher={Wiley Online Library}
}