Earth System Modeling 2.0: A Blueprint for Models That Learn From Observations and Targeted High‐Resolution Simulations

  title={Earth System Modeling 2.0: A Blueprint for Models That Learn From Observations and Targeted High‐Resolution Simulations},
  author={Tapio Schneider and Shiwei Lan and Andrew Stuart and Jo{\~a}o Teixeira},
  journal={Geophysical Research Letters},
  pages={12,396 - 12,417}
Climate projections continue to be marred by large uncertainties, which originate in processes that need to be parameterized, such as clouds, convection, and ecosystems. But rapid progress is now within reach. New computational tools and methods from data assimilation and machine learning make it possible to integrate global observations and local high‐resolution simulations in an Earth system model (ESM) that systematically learns from both and quantifies uncertainties. Here we propose a… 
Journal of Advances in Modeling Earth Systems 10 . 1029 / 2018 MS 001600
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