Global climate models that aim to predict human-induced global average temperature rise have been underestimating important contributions from clouds.

TOP INSIGHT
Clouds and aerosol particles are currently the leading cause of uncertainty in climate projections about global warming.
Recent evidence shows that a certain ice formation process, which was previously believed to be very common, is in fact observed infrequently during actual cloud formation. This means that some types of clouds contain fewer ice crystals and more liquid droplets than previously believed and therefore reflect more radiation than was thought, leading to estimates of ECS that are too low. As for overall cloud coverage, spatial and temporal measurements have been sparse in the past.
Here, Ivy Tan and colleagues used comprehensive cloud monitoring data from NASA’s Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) instrument, while incorporating recent in situ measurements of ice crystals and supercooled liquid droplets. Plugging these new parameters into climate models substantially changed the ECS.
Whereas old models estimated the ECS to be between 2.0 degree and 4.6 degree Celsius, results by Tan et al. now put these estimates at between 5.0 degree and 5.3 degree Celsius, although it is important to note that these results can vary depending on what model is used. The study appears in the journal Science.
Source-ANI
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