In partnership with the National Marine Fisheries Service (NMFS) Office of Science and Technology, CPO's Coastal and Ocean Climate Applications (COCA) program competitively awarded seven grants projects in FY 2015 focused on increasing the understanding of climate-related impacts on fish stocks and fisheries.  The roughly $5 million in grants cover a two- to three-year time period.

A new study funded by CPO’s Climate Observation Division was recently published in the Bulletin of the American Meteorological Society. The study by Cheng et al.examines in-depth studies and offers recommendations for correcting biases in expendable bathythermograph (XBT) data.

Predictions at the seasonal to sub-seasonal scale are important for planning and decision-making in a variety of disciplines, and improving understanding and model skill at this timescale is a key research priority. An as yet underexplored approach to sub-seasonal prediction using data science and graph theory methods that are increasingly common to other fields outside of meteorology and climate science shows potential to improve predictions at this challenging timescale.

Members of the Carolinas Integrated Sciences & Assessments (CISA), a NOAA RISA team, compiled an integrated assessment of the conditions which contributed to the October 2015 extreme rainfall and flooding events in South Carolina.