Global models predict clouds at the wrong time of day: Does it matter for radiation and climate?

Accurate prediction of future climate change hinges upon the ability of Earth system models (ESMs) to simulate clouds and their radiative effects. Even if an ESM can simulate the correct clouds, a systematic error in the amount of sunlight reflected by clouds (and, thus, cloud radiative effect) can exist if the clouds are simulated at the incorrect time of day. In this work, we develop an analytical model connecting diurnal cloud biases to emergent mean state radiative biases. With the use of satellite observations, we demonstrate that there are errors in the time of day that clouds are occurring in ESMs that would cause bias in shortwave cloud radiative effect (SWCRE) that is greater than 45% of the total SWCRE bias, but such errors in the cloud diurnal cycle are masked by other compensating errors, indicating that these ESMs are getting the right answer for the wrong reasons.

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Publication Details

Journal
Science Advances
Published
2025-12-12
DOI
https://doi.org/10.1126/sciadv.ady3236
Primary Topic
Atmospheric aerosols and clouds
Type
article
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article

Global models predict clouds at the wrong time of day: Does it matter for radiation and climate?

Jingbo Wu, Jacqueline M Nugent, Daniel Thompson McCoy, Travis Aerenson et al.
Science Advances
Atmospheric aerosols and clouds
article

Global models predict clouds at the wrong time of day: Does it matter for radiation and climate?

Jingbo Wu, Jacqueline M Nugent, Daniel Thompson McCoy, Travis Aerenson, Mark D. Zelinka, Gregory S. Elsaesser, Hunter Brown, August Mikkelsen
article en

Abstract

Accurate prediction of future climate change hinges upon the ability of Earth system models (ESMs) to simulate clouds and their radiative effects. Even if an ESM can simulate the correct clouds, a systematic error in the amount of sunlight reflected by clouds (and, thus, cloud radiative effect) can exist if the clouds are simulated at the incorrect time of day. In this work, we develop an analytical model connecting diurnal cloud biases to emergent mean state radiative biases. With the use of satellite observations, we demonstrate that there are errors in the time of day that clouds are occurring in ESMs that would cause bias in shortwave cloud radiative effect (SWCRE) that is greater than 45% of the total SWCRE bias, but such errors in the cloud diurnal cycle are masked by other compensating errors, indicating that these ESMs are getting the right answer for the wrong reasons.

Science AdvancesVol. 11(50)
Goddard Institute for Space Studies (US), Lawrence Livermore National Laboratory (US), University of Wyoming (US), Columbia University (US)
Openalex Percentile: Top 63%
Atmospheric aerosols and clouds
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Global models predict clouds at the wrong time of day: Does it matter for radiation and climate? — Jingbo Wu, Jacqueline M Nugent, et al. · Science Advances (2025) | TGRS Research Map | TGRS