Will Artificial Intelligence supersede Earth System and Climate Models?

• URL: http://arxiv.org/abs/2101.09126v1
• Date: Fri, 22 Jan 2021 14:33:24 GMT
• Title: Will Artificial Intelligence supersede Earth System and Climate Models?
• Authors: Christopher Irrgang (1), Niklas Boers (2 and 3 and 4), Maike Sonnewald (5 and 6 and 7), Elizabeth A. Barnes (8), Christopher Kadow (9), Joanna Staneva (10), Jan Saynisch-Wagner (1) ((1) Helmholtz Centre Potsdam, German Research Centre for Geosciences GFZ, Potsdam, Germany, (2) Department of Mathematics and Computer Science, Free University of Berlin, Germany, (3) Potsdam Institute for Climate Impact Research, Potsdam, Germany (4) Department of Mathematics and Global Systems Institute, University of Exeter, Exeter, UK (5) Program in Atmospheric and Oceanic Sciences, Princeton University, Princeton, USA (6) NOAA/OAR Geophysical Fluid Dynamics Laboratory, Ocean and Cryosphere Division, Princeton, USA (7) University of Washington, School of Oceanography, Seattle, USA (8) Colorado State University, Fort Collins, USA (9) German Climate Computing Center DKRZ, Hamburg, Germany (10) Helmholtz-Zentrum Geesthacht, Center for Material and Coastal Research HZG, Geesthacht, Germany)
• Abstract summary: "Neural Earth System Modelling" (NESYM) is a new research branch in Earth and climate sciences. We coin the term "NESYM" and highlight the necessity of a transdisciplinary discussion platform. We examine the concurrent potential and pitfalls of Neural Earth System Modelling and discuss the open question whether artificial intelligence will not only infuse Earth system modelling, but ultimately render them obsolete.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We outline a perspective of an entirely new research branch in Earth and climate sciences, where deep neural networks and Earth system models are dismantled as individual methodological approaches and reassembled as learning, self-validating, and interpretable Earth system model-network hybrids. Following this path, we coin the term "Neural Earth System Modelling" (NESYM) and highlight the necessity of a transdisciplinary discussion platform, bringing together Earth and climate scientists, big data analysts, and AI experts. We examine the concurrent potential and pitfalls of Neural Earth System Modelling and discuss the open question whether artificial intelligence will not only infuse Earth system modelling, but ultimately render them obsolete.

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