240 citations · 245 across the 9 of their papers we have counts for
9 papers
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…
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…
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…
Chemistry Across Multiple Phases (CAMP) version 1.0: An integrated multi-phase chemistry model
Matthew L. Dawson, Christian Guzman, Jeffrey H. Curtis +7
A flexible treatment for gas- and aerosol-phase chemical processes has been developed for models of diverse scale, from box models up to global models. At the core of this novel fr…