AI RESEARCH
Assessing Emulator Design and Training for Modal Aerosol Microphysics Parameterizations in E3SMv2
arXiv CS.LG
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ArXi:2604.21233v1 Announce Type: cross Toward the goal of using Scientific Machine Learning (SciML) emulators to improve the numerical representation of aerosol processes in global atmospheric models, we explore the emulation of aerosol microphysics processes under cloud-free conditions in the 4-mode Modal Aerosol Module (MAM4) within the Energy Exascale Earth System Model v2 (E3SMv2