activity
20082026
most citedSimulating the evolution of soot mixing state with a particle-resolved aerosol model

240 citations · 243 across the 7 of their papers we have counts for

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Showing physics.ao-phShow all

5 papers · 1 filter

physics.ao-ph2026

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…

physics.ao-ph2025

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…

physics.ao-ph2025

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…

physics.ao-ph2009

Estimating black carbon aging time-scales with a particle-resolved aerosol model

N. Riemer, M. West, R. A. Zaveri +1

Understanding the aging process of aerosol particles is important for assessing their chemical reactivity, cloud condensation nuclei activity, radiative properties and health impac…

physics.ao-ph2008★ 240 cited

Simulating the evolution of soot mixing state with a particle-resolved aerosol model

N. Riemer, M. West, R. A. Zaveri +1

The mixing state of soot particles in the atmosphere is of crucial importance for assessing their climatic impact, since it governs their chemical reactivity, cloud condensation nu…