3 papers
physics.geo-ph2025
A Mathematical Framework for Quantifying Nonlinear Uncertainty Propagation in Eddy Identification Criteria
Charlotte Moser, Nan Chen, Stephen Wiggins
Ocean eddies are swirling mesoscale features that play a fundamental role in oceanic transport and mixing. Eddy identification relies on diagnostic criteria that are inherently non…
math.DS2024
Probabilistic Eddy Identification with Uncertainty Quantification
Jeffrey Covington, Nan Chen, Stephen Wiggins +1
Mesoscale eddies are critical in ocean circulation and the global climate system. Standard eddy identification methods are usually based on deterministic optimal point estimates of…
math.DS2024
A Causation-Based Computationally Efficient Strategy for Deploying Lagrangian Drifters to Improve Real-Time State Estimation
Erik Bollt, Nan Chen, Stephen Wiggins
Deploying Lagrangian drifters that facilitate the state estimation of the underlying flow field within a future time interval is practically important. However, the uncertainty in…