Increased reflection of incoming sunlight by clouds led one current-generation climate model to predict unrealistically cold temperatures during the last ice age.
A comparison of climate models finds that much of the variation in their predictions of global warming arises from differences in how they simulate the response of convective processes to warming.
Ice particles have systematic covariations and temperature dependences that are surprisingly consistent with a simple ice growth theory as revealed by satellites.
Researchers apply a superparameterization technique to boost the accuracy and efficiency of climate predictions generated by the Energy Exascale Earth System Model.
New modeling casts doubt on the suitability of running experiments with fixed sea surface temperatures to understand the effects of cloud aggregation on Earth’s climate.
The planet is heating up, but uncertainty still exists about how temperatures will change in specific regions. A new study examines sources of uncertainty in the meridional pattern of warming.
A set of four papers published in JGR: Atmospheres present results from a project investigating why models predict warmer surface temperatures than are observed in the central United States.
Researchers illuminate how and why cloud feedbacks depend on spatial patterns of global warming.
A new model reveals how cumulus convection, humidity, and tropical circulations interact as global temperatures rise.
A new analysis of cloud composition and behavior suggests that scientists have overestimated the ability of a type of mixed-phase ice-and-water cloud to mitigate climate change effects.