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Status: Unchecked ×Keyword: equation discovery ×Clear all

2 claims from 1 paper

1. Environmental Science › Climate variability and models

   Potential for equation discovery with AI in the climate sciences

   Huntingford, Nicoll, Klein and Ahmad · Earth System Dynamics · 2025

   The paper argues for AI-driven equation discovery in climate research, because its outputs link to processes, and gives three illustrative examples: atmospheric convection, the terrestrial carbon cycle and ocean tipping points.

   Unchecked2 claims
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   1. UncheckedEquations found from data by AI could be slotted straight into Earth system models where they represent a climate component poorly.“As the foundation of ESMs is the numerical discretization of equations that describe climate components, equation discovery from datasets provides a format capable of direct inclusion into such models where system component representation is poor.”
   2. Unchecked“However, equations rather than statistical emulators guide better system understanding, as more interpretable variables and parameters may yield informed judgements as to whether models are trusted under extrapolation.”