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.
Improved and Expanded Global Ocean Carbon Product Using Machine Learning Read More »
In winter 2022, about fifty scientists from the United States and Europe completed a seven-week atmospheric chemistry study of Fairbanks, Alaska–the state’s second-largest city.
The study, called the Alaskan Layered Pollution and Chemical Analysis (ALPACA) project, investigated the chemistry of Fairbanks’s air pollution–especially how the pollution behaves in the cold and dark.
New publications, one on CO2 outgassing and the other on ocean-air feedbacks, contribute to the pre-field modeling studies in support of Tropical Pacific Observing System (TPOS) 2020.
Two New Pre-Field Studies in Support of TPOS 2020 Read More »
Methane emissions trends for North America may be higher than reported by national inventories, primarily due to underestimation in emissions from the oil sector.
Two new publications highlight CPO’s continued support for research in the marine ecosystem risk area.
New Publications on the Climate & Ecology of the California Current System Read More »
A newly developed climatology dataset could help construct seasonal cycles for the northern California Current system off the coast of Newport, Oregon.
New Dataset from Shipboard Survey Data Along the Newport Hydrographic Line Read More »
New results from the FIREX-AQ field campaign provide detailed insight to ozone formation in western US wildfires.
Better Representation of Ozone Formation in Wildfire Smoke Read More »
New CVP-funded research identifies which of several new reanalysis datasets may be the most useful for better studying and simulating the tropical intraseasonal oscillation (ISO).
New research explores long-term changes in short-term climate variability.
Is Climate Change Increasing Weather Whiplash? Read More »
Researchers used machine learning to quantify and correct for the uncertainties associated with satellite precipitation products, especially in the case of rainfall over mountainous regions.
Machine Learning Bias Correction for Satellite Precipitation Data Products Read More »