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. 

A team of researchers from NOAA's National Centers for Environmental Information introduce a new, spatially complete edition of NOAA’s Global Surface Temperature dataset, work which was partially supported by CPO’s Climate Observations and Monitoring (COM) program.