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An efficient approach of aerosol thermodynamic equilibrium predictions by the HDMR method
Authors:Yu Cheng  Dong Liang  Wenqia Wang  Sunling Gong  Min Xue
Institution:1. State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, People''s Republic of China;2. Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, People''s Republic of China;3. State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, People''s Republic of China;4. Atmosphere, Ocean and Planetary Physics, University of Oxford, UK;5. National Institute for Environmental Studies, Tsukuba, Japan;6. Earth Observation Research Center, Japan Aerospace Exploration Agency, Tsukuba, Japan;1. G?ówny Instytut Górnictwa, ?l?skie Centrum Radiometrii ?rodowiskowej, Plac Gwarków 1, 40-166 Katowice, Poland;2. Instytut Mechaniki Górotworu Polskiej Akademii Nauk, ul. Reymonta 27, 30-059 Kraków, Poland;1. Department of Chemistry, University of Waterloo, 200 University Avenue West, Ontario N2L 3G1, Canada;2. Department of Chemistry and Biochemistry, Old Dominion University, Norfolk, VA 23529, USA;1. Precision Laser Diagnostics Laboratory, University of Colorado Boulder, USA;2. Jet Propulsion Laboratory – NASA, California Institute of Technology, 4800, Oak Grove Drive, Pasadena, CA 91109-8099, USA;3. Applied Physics Division, National Institute of Standards and Technology, Boulder, CO, USA
Abstract:In this paper, we develop a new and efficient approach for high dimensional atmospheric aerosol thermodynamic equilibrium predictions. The multi-phase and multi-component aerosol thermodynamic input–output systems are solved by the high dimensional model representation (HDMR) method combining with the moving multiple cut points. The developed approach improves the accuracy of numerical simulations for the general high dimensional input–output systems compared with the standard cut-HDMR method. It can simulate efficiently the atmospheric aerosol thermodynamic equilibrium problems in a large range of aerosol concentrations from 10?10 to 10?6 mol m?3. Numerical experiments show that the approach has great computational efficiency and the CPU-time of the approach is much less than that of ISORROPIA. The method does excellent performance in predicting high dimensional aerosol thermodynamic components as well as particulate matters (PMs).
Keywords:
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