Improved and Expanded Global Ocean Carbon Product Using Machine Learning
Expanded record of air-sea CO2 fluxes created using machine learning techniques improves our ability to model annual changes in the ocean carbon sink.
Advancing scientific understanding of climate, improving society’s ability to plan and respond
Advancing scientific understanding of climate, improving society’s ability to plan and respond
Expanded record of air-sea CO2 fluxes created using machine learning techniques improves our ability to model annual changes in the ocean carbon sink.
New study highlights the application of Neural Network Ensembles in detecting relationships within Earth system models.
Research funded by CPO’s Atmospheric Chemistry, Carbon Cycle, and Climate (AC4) program was published in Nature Geosciences. The article assesses the relationship between the organic carbon content of sea water and freshly emitted sea spray aerosol in the North Atlantic as well as the coastal waters of California.
The next webinar from the Alaska Center for Climate Assessment & Policy will take place on November 5 at 10 a.m. AK time (2 p.m. EST) and will feature Jeremy Mathis from the Ocean Acidification Research Center at UAF and the Pacific Marine Environmental Laboratory. The webinar is titled “Ocean Acidification: Perceptions, Risks and Uncertainties.”
Including members of NOAA’s Climate Program Office, 63 experts from NOAA and other federal, academic, and nongovernmental organizations collaborated on Oceans and Marine Resources in a Changing Climate – a comprehensive look at the effects of climate change on the oceans and marine ecosystems under U.S. jurisdiction.
Global mean temperatures have been flat for 15 years despite an increase of heat-trapping greenhouse gases and new research by scientists at Scripps Institution of Oceanography found that cooling in the eastern Pacific Ocean is behind the recent hiatus in global warming.