Articles | Volume 23, issue 11
https://doi.org/10.5194/acp-23-6559-2023
https://doi.org/10.5194/acp-23-6559-2023
Research article
 | 
15 Jun 2023
Research article |  | 15 Jun 2023

Opposing trends of cloud coverage over land and ocean under global warming

Huan Liu, Ilan Koren, Orit Altaratz, and Mickaël D. Chekroun

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Cited articles

Aerenson, T., Marchand, R., Chepfer, H., and Medeiros, B.: When will MISR detect rising high clouds?, J. Geophys. Res.-Atmos., 127, 2021–035865, https://doi.org/10.1029/2021JD035865, 2022. 
ajdawson: eofs, GitHub [code], https://github.com/ajdawson/eofs (last access: 15 January 2022), 2019. 
Aleksandrova, M., Gulev, S. K., and Belyaev, K.: Probability distribution for the visually observed fractional cloud cover over the ocean, J. Climate, 31, 3207–3232, https://doi.org/10.1175/JCLI-D-17-0317.1, 2018 
Baldwin, M. P., Stephenson, D. B., and Jolliffe, I. T.: Spatial weighting and iterative projection methods for eofs, J. Climate, 22, 234–243, https://doi.org/10.1175/2008JCLI2147.1, 2009. 
Barker, H. W.: Representing cloud overlap with an effective decorrelation length: An assessment using CloudSat and CALIPSO data, J. Geophys. Res.-Atmos., 113, D24205, https://doi.org/10.1029/2008JD010391, 2008. 
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Short summary
Clouds' responses to global warming contribute the largest uncertainty in climate prediction. Here, we analyze 42 years of global cloud cover in reanalysis data and show a decreasing trend over most continents and an increasing trend over the tropical and subtropical oceans. A reduction in near-surface relative humidity can explain the decreasing trend in cloud cover over land. Our results suggest potential stress on the terrestrial water cycle, associated with global warming.
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