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 Letters