87 citations · 370 across the 23 of their papers we have counts for
23 papers
Launching Drifter Observations in the Presence of Uncertainty
Nan Chen, Evelyn Lunasin, Stephen Wiggins
Determining the optimal locations for placing extra observational measurements has practical significance. However, the exact underlying flow field is never known in practice. Sign…
Lagrangian Descriptors with Uncertainty
Nan Chen, Evelyn Lunasin, Stephen Wiggins
Lagrangian descriptors provide a global dynamical picture of the geometric structures for arbitrarily time-dependent flows with broad applications. This paper develops a mathematic…
Data-Driven Statistical Reduced-Order Modeling and Quantification of Polycrystal Mechanics Leading to Porosity-Based Ductile Damage
Yinling Zhang, Nan Chen, Curt A. Bronkhorst +2
Predicting the process of porosity-based ductile damage in polycrystalline metallic materials is an essential practical topic. Ductile damage and its precursors are represented by…
Rigorous Derivation of Stochastic Conceptual Models for the El Niño-Southern Oscillation from a Spatially-Extended Dynamical System
Nan Chen, Yinling Zhang
El Niño-Southern Oscillation (ENSO) is the most predominant interannual variability in the tropics, significantly impacting global weather and climate. In this paper, a framework o…
Uncertainty Quantification of Nonlinear Lagrangian Data Assimilation Using Linear Stochastic Forecast Models
Nan Chen, Shubin Fu
Lagrangian data assimilation exploits the trajectories of moving tracers as observations to recover the underlying flow field. One major challenge in Lagrangian data assimilation i…
A Simple Multiscale Intermediate Coupled Stochastic Model for El Niño Diversity and Complexity
Nan Chen, Xianghui Fang
El Niño-Southern Oscillation (ENSO) is the most prominent interannual climate variability in the tropics and exhibits diverse features in spatiotemporal patterns. In this paper, a…