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.

CPO’s Modeling, Analysis, Predictions, and Projections (MAPP) program is announcing seven new three-year projects for Fiscal Years 2022-2024 that aim to develop new model-based monitoring products addressing key climate impact areas totaling $2.7 million.