Clouds are notoriously hard to pin down, especially in climate science.
Clouds are notoriously hard to pin down, especially in climate science.
A study from the University of California, Davis, and published in the journal Nature Geoscience shows that air temperature and cloud cover are strongly influenced by the buoyancy effect of water vapor, an effect currently neglected in some leading global climate models.
Global climate models are the primary tools used to study Earth’s climate, predict its future changes and inform climate policymaking. However, climate models often differ on the precise degree of future warming, largely due to their representation of clouds.
“Climate models are the best tool we have to predict future climate change,” said lead author Da Yang, an assistant professor of atmospheric science at UC Davis and faculty scientist at Lawrence Berkeley National Lab. “It’s important that we actively try to improve them.”
Read more at University of California - Davis
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