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.
This study uses a novel approach to further explore the dynamic impacts of volcanism on ENSO.
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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