A new study provides an updated and more comprehensive view on historical hydroclimatic trends by quantifying how much of the changes in those trends can be attributed to external forcing vs. internal variability. 

New research identifies important climate drivers affecting tundra vegetation productivity and points to potential methods of predicting vegetation a season or two ahead of time. 

Climate scientists identify regional variations in snowpack melt as temperatures increase and present a theory that explains which mountain snowpacks worldwide are most “at-risk” from climate change.

New research distinguishes between climate models with low and high climate sensitivity due to aerosol-cloud interactions, helping climate scientists to better understand and reduce uncertainty in future climate projections. 

Researchers from the University of Central Florida and the University of South Florida recently published a study that shows how incorporating decade-long variations in extreme sea level (ESL) events, such as storm surge, in coastal flooding risk assessments can dramatically increase the severity of expected flooding and the associated economic losses.