Stochastic cloud fluctuations drive Arctic winter radiative bistability

In Arctic winter, the boundary layer occupies two preferred radiative states, a cold, clear state and a heat-trapping, cloudy state, that strongly regulate surface energy loss over sea ice. Yet, reanalyses and climate models are often biased toward a single intermediate state. Using a stochastic differential equation framework applied to 27 years of high-resolution observations, we show that the observed bistability is not sustained by multiple deterministic equilibria: The mean restoring tendency is effectively single-well, while background meteorology alone cannot explain rapid transitions. Instead, the two regimes are sustained by sharply localized, state-dependent noise in the transition range. This noise structure emerges when subhourly fluctuations in liquid water path are radiatively amplified by the nonlinear saturation of longwave emissivity. Our results provide a dynamical explanation for this model bias and identify unresolved fast cloud variability as a key source of uncertainty in Arctic winter climate projections.

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Publication Details

Journal
Science Advances
Published
2026-09-30
DOI
https://doi.org/10.1126/sciadv.aeh3823
Primary Topic
Arctic and Antarctic ice dynamics
Type
article
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article

Stochastic cloud fluctuations drive Arctic winter radiative bistability

Jung‐Sub Lim, Graham Feingold
Science Advances
Arctic and Antarctic ice dynamics
article

Stochastic cloud fluctuations drive Arctic winter radiative bistability

Jung‐Sub Lim, Graham Feingold
article en

Abstract

In Arctic winter, the boundary layer occupies two preferred radiative states, a cold, clear state and a heat-trapping, cloudy state, that strongly regulate surface energy loss over sea ice. Yet, reanalyses and climate models are often biased toward a single intermediate state. Using a stochastic differential equation framework applied to 27 years of high-resolution observations, we show that the observed bistability is not sustained by multiple deterministic equilibria: The mean restoring tendency is effectively single-well, while background meteorology alone cannot explain rapid transitions. Instead, the two regimes are sustained by sharply localized, state-dependent noise in the transition range. This noise structure emerges when subhourly fluctuations in liquid water path are radiatively amplified by the nonlinear saturation of longwave emissivity. Our results provide a dynamical explanation for this model bias and identify unresolved fast cloud variability as a key source of uncertainty in Arctic winter climate projections.

Science AdvancesVol. 12(40)
Cooperative Institute for Research in Environmental Sciences (US), University of Colorado Boulder (US), NOAA Chemical Sciences Laboratory (US)
Climate action
Openalex Percentile: Top 16%
Arctic and Antarctic ice dynamics
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Stochastic cloud fluctuations drive Arctic winter radiative bistability — Jung‐Sub Lim, Graham Feingold · Science Advances (2026) | TGRS Research Map | TGRS