4 citations · 4 across the 4 of their papers we have counts for
4 papers
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…
Taming Uncertainty in a Complex World: The Rise of Uncertainty Quantification -- A Tutorial for Beginners
Nan Chen, Stephen Wiggins, Marios Andreou
This paper provides a tutorial about uncertainty quantification (UQ) for those who have no background but are interested in learning more in this area. It exploits many very simple…
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…
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…