Approximately $11.1 million will be available in FY23 to start new awards in about six different topic areas, pending budget appropriations.
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 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.
Two recent publications demonstrate the value of machine learning techniques to characterize complex water resources in the western U.S.
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.