A Machine Learning Approach to Estimate Multi-Aerosol Mixing State Metrics at a Global Scale in Earth System Models
Zhonghua Zheng1, Sajal Dash2, Drew Schmidt3, Junqi Yin4, Nicole Riemer5, Matthew West6 and Valentine G Anantharaj3, (1)The University of Manchester, Department of Earth and Environmental Sciences, Manchester, United Kingdom, (2)Virginia Polytechnic Institute and State University, Department of Computer Science, Blacksburg, VA, United States, (3)Oak Ridge National Laboratory, National Center for Computational Sciences, Oak Ridge, TN, United States, (4)Oak Ridge National Laboratory, National Center for Computational Sciences, Oak Ridge, United States, (5)University of Illinois at Urbana-Champaign, Department of Atmospheric Sciences, Urbana, IL, United States, (6)University of Illinois at Urbana Champaign, Mechanical Science and Engineering, Urbana, United States
