Sort by
Refine Your Search
-
earth system model data, with an emphasis on Seamless System for Prediction and EArth System Research (SPEAR) for seasonal to multidecadal prediction and projection. The project will emphasize elements
-
for Prediction and EArth System Research (SPEAR) for seasonal to multidecadal prediction and projection. The project will emphasize elements such as stakeholder engagement, earth system model development, service
-
and time. These models, both physically based and AI-driven, will enable better understanding of the links between climate and health; in addition, they can be used to generate predictions that can
-
System for Prediction and EArth System Research (SPEAR) for seasonal to multidecadal prediction and projection. The project will emphasize elements such as stakeholder engagement, earth system model
-
Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
to develop hybrid models for sea ice that combine coupled climate models and machine learning. Our previous work has demonstrated that neural networks can skillfully predict sea ice data assimilation
-
boundary layer and apply them to ocean climate models. Our previous work demonstrated that neural networks can learn to predict the vertical structure of vertical diffusivity and the networks can then be
-
and time. These models, both physically based and AI-driven, will enable better understanding of the links between climate and health; in addition, they can be used to generate predictions that can