Nan Chen

A framework that merges Lagrangian and Eulerian data for improved system state estimates.

New models improve predictions of ENSO climate phenomena and their global impacts.

Researchers propose innovative methods for deploying Lagrangian drifters to better understand fluid flows.

A novel approach improves tracking of ocean eddies by addressing data uncertainties.

Learn how reduced-order models aid in analyzing complex systems using causation entropy.

A new simulation model improves understanding of atmospheric moisture behavior.

Learn how to manage uncertainties in modeling for better decision-making.

A new method improves data assimilation in multi-layer ocean and atmosphere studies.