An Element of Randomness in Modeling Arctic Ice Cover

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Incorporating random perturbations in temperature, humidity, and wind might offer a computationally cheaper alternative to increased resolution in an Earth system model when predicting global warming and Arctic sea ice cover.
A Research Spotlight item in Eos Magazine reports findings by ISAC researchers just published in Geophysical Research Letter