240 citations · 243 across the 7 of their papers we have counts for
9 papers
Learning Aerosol Coagulation Dynamics in Latent Space with a Scale-Covariant Neural ODE
Wenhan Tang, Ruqi Yang, Jeffrey H. Curtis +5
Particle-resolved aerosol models preserve the joint size-composition structure that governs cloud activation, optical properties, and freezing, but their computational cost limits…
AeroMELD: A Linear Embedding of Aerosol Populations for Diagnostics and Latent Dynamics
Ehsan Saleh, Saba Ghaffari, Wenhan Tang +5
Accurately representing atmospheric aerosol populations is essential for simulating aerosol-cloud interactions, radiative forcing, and ice nucleation, yet existing reduced schemes…
Reconstructing the Aerosol State from Partial Observations with Generative Modeling
E. Saleh, S. Ghaffari, J. H. Curtis +4
Key aerosol properties that shape climate -- such as CCN activity, scattering and absorption, and ice nucleation efficiency -- are difficult to infer from measurements that typical…
Generative Modeling of Aerosol State Representations
Ehsan Saleh, Saba Ghaffari, Jeffrey H. Curtis +4
Aerosol-cloud--radiation interactions remain among the most uncertain components of the Earth's climate system, in partdue to the high dimensionality of aerosol state representatio…
Immersion freezing in particle-based aerosol-cloud microphysics: a probabilistic perspective on singular and time-dependent models
Sylwester Arabas, Jeffrey H. Curtis, Israel Silber +4
Cloud droplets containing ice-nucleating particles (INPs) may freeze at temperatures above the homogeneous freezing threshold temperature. This process, referred to as immersion fr…
PyPartMC: A Pythonic interface to a particle-resolved, Monte Carlo aerosol simulation framework
Zachary D'Aquino, Sylwester Arabas, Jeffrey Curtis +3
PyPartMC is a Pythonic interface to PartMC, a stochastic, particle-resolved aerosol model implemented in Fortran. Both PyPartMC and PartMC are free, libre, and open-source. PyPartM…