A5063174179- Meteorological Phenomena and Simulations
- Science Education and Pedagogy
- Innovative Teaching and Learning Methods
- Arctic and Antarctic ice dynamics
- Educational Strategies and Epistemologies
- Seismic Imaging and Inversion Techniques
- Reservoir Engineering and Simulation Methods
- Advanced Thermodynamics and Statistical Mechanics
- Climate variability and models
University of Wisconsin–Madison
2025
Beijing Normal University
2014-2022
Abstract Lagrangian trajectories are widely used as observations for recovering the underlying flow field via data assimilation (DA). However, strong nonlinearity in observational process and high dimensionality of problems often cause challenges applying standard DA. In this paper, a Lagrangian‐Eulerian multiscale DA (LEMDA) framework is developed. It starts with exploiting Boltzmann kinetic description particle dynamics to derive set continuum equations, which characterize statistical...
Purpose This study aims to present a high-end lesson (HELS) model develop students' subject competency. Data were collected from Beijing suburban key senior high school in China. How the competency framework (SCF) supports HELS and develops practice are discussed this study. Design/methodology/approach provides four-dimensional SCF developed by chemistry education research team at Normal University. Basic procedures of involve project plan, pre-test, design workshop, first-round teaching...
Lagrangian trajectories are widely used as observations for recovering the underlying flow field via data assimilation (DA). However, strong nonlinearity in observational process and high dimensionality of problems often cause challenges applying standard DA. In this paper, a Lagrangian-Eulerian multiscale DA (LEMDA) framework is developed. It starts with exploiting Boltzmann kinetic description particle dynamics to derive set continuum equations, which characterize statistical quantities...