6 citations · 6 across the 5 of their papers we have counts for
Showing math.DSShow all
2 papers · 1 filter
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…
math.DS2024
A Physics-Informed Auto-Learning Framework for Developing Stochastic Conceptual Models for ENSO Diversity
Yinling Zhang, Nan Chen, Jerome Vialard +1
Understanding ENSO dynamics has tremendously improved over the past decades. However, one aspect still poorly understood or represented in conceptual models is the ENSO diversity i…