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Status: Unchecked ×Keyword: ocean climate models ×Clear all

2 claims from 1 paper

1. Earth and Planetary Sciences › Oceanographic and Atmospheric Processes

   Data‐Driven Equation Discovery of Ocean Mesoscale Closures

   Zanna and Bolton · Geophysical Research Letters · 2020

   The paper uses relevance vector machines and convolutional neural networks to learn ocean mesoscale eddy parameterizations from data, and tests them in an idealized ocean model.

   Unchecked2 claims
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   1. UncheckedThe relevance vector machine algorithm can reveal closed-form equations for ocean eddy parameterizations that have conservation laws built in.“In particular, we demonstrate the usefulness of the RVM algorithm to reveal closed‐form equations for eddy parameterizations with embedded conservation laws.”
   2. UncheckedIn an idealized ocean model, every machine-learned eddy parameterization tested improved the statistics of the coarse-resolution simulation.“When implemented in an idealized ocean model, all parameterizations improve the statistics of the coarse‐resolution simulation.”