2 citations · 2 across the 4 of their papers we have counts for
4 papers
Atmospheric chemistry surrogate modeling with sparse identification of nonlinear dynamics
Xiaokai Yang, Lin Guo, Zhonghua Zheng +2
Modeling atmospheric chemistry is computationally expensive and limits the widespread use of atmospheric chemical transport models. This computational cost arises from solving high…
Learned 1-D passive scalar advection to accelerate chemical transport modeling: a case study with GEOS-FP horizontal wind fields
Manho Park, Zhonghua Zheng, Nicole Riemer +1
We developed and applied a machine-learned discretization for one-dimensional (1-D) horizontal passive scalar advection, which is an operator component common to all chemical trans…
Learned 1-D advection solver to accelerate air quality modeling
Manho Park, Zhonghua Zheng, Nicole Riemer +1
Accelerating the numerical integration of partial differential equations by learned surrogate model is a promising area of inquiry in the field of air pollution modeling. Most prev…
Unsupervised Regionalization of Particle-resolved Aerosol Mixing State Indices on the Global Scale
Zhonghua Zheng, Joseph Ching, Jeffrey H. Curtis +4
The aerosol mixing state significantly affects the climate and health impacts of atmospheric aerosol particles. Simplified aerosol mixing state assumptions, common in Earth System…