A new CVP-supported study uses a Weather Research and Forecasting model of Super Typhoon Yutu to improve the understanding of the process of rapid intensification within tropical cyclones.
CHEESEHEAD19 Field Campaign produces useful criteria for using a variety of ground-based remote sensing instruments used to measure planetary boundary layer height.
Expanded record of air-sea CO2 fluxes created using machine learning techniques improves our ability to model annual changes in the ocean carbon sink.
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.
In a new COM-funded study, machine learning techniques are used to create a model of heat and carbon processes in the urban environment to provide resources for mitigation.
Americans’ health, security and economic wellbeing are tied to climate and weather. Every day, we see communities grappling with environmental challenges due to unusual or extreme events related to climate and weather.
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