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Desert dust exerts twice the longwave radiative heating estimated by climate models

Jasper F. Kok et al · Nature Portfolio · 2026

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Abstract Although desert dust is the most abundant atmospheric aerosol by mass, its longwave radiative effects remain unclear, obscuring the impacts of dust on weather and climate. Here, using a data-driven analytical model constrained by observations, we show that scattering and absorption of longwave radiation by dust heats the planet by +0.25 ± 0.06 W m⁻² (90% confidence). This is nearly twice the value simulated by current climate models, which omit longwave scattering and underrepresent super coarse dust (diameter > 10 μm). These omissions bias modeled surface energy fluxes, cloud responses, precipitation, and atmospheric circulation. At the global scale, the sign and magnitude of the net dust direct radiative effect remain uncertain, with additional work needed to constrain shortwave cooling effects. These findings show that improving the representation of dust interactions with longwave radiation can improve weather forecasting and is essential to resolve the role of dust in climate change.

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APA 7

al, J. F. K. E. (2026). Desert dust exerts twice the longwave radiative heating estimated by climate models. https://doi.org/10.1038/s41467-026-70952-9

MLA

al, Jasper F. Kok et. "Desert dust exerts twice the longwave radiative heating estimated by climate models." 2026. https://doi.org/10.1038/s41467-026-70952-9.

Chicago

al, Jasper F. Kok et. 2026. "Desert dust exerts twice the longwave radiative heating estimated by climate models.". https://doi.org/10.1038/s41467-026-70952-9.

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al, J. F. K. E. 2026, Desert dust exerts twice the longwave radiative heating estimated by climate models, Nature Portfolio, available at: https://doi.org/10.1038/s41467-026-70952-9 [Accessed 8 Aug. 2026].

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Title
Desert dust exerts twice the longwave radiative heating estimated by climate models
Author / contributors
Jasper F. Kok et al
Publisher
Nature Portfolio
Publication year
2026
ISSN
2041-1723
ISSN
2041-1723
Language
English
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