Optimizing model performance: variable size resolution in cloud chemistry modeling |
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| Institution: | 1. Department of Electrical Engineering, Technion–Israel Institute of Technology, Haifa 3200003, Israel;2. Tower Semiconductor, Migdal Haemek 2310502, Israel;3. vSync Circuits, Yokneam Illit 2069201, Israel;4. Intel, Haifa 31015, Israel;5. Toga Networks, Hod Hasharon 4524075, Israel;1. Institute of Biotechnology and Genetic Engineering, Chulalongkorn University, Bangkok, Thailand;2. Program in Biotechnology, Faculty of Science, Chulalongkorn University, Bangkok, Thailand;3. Department of Biochemistry and Microbiology, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok, Thailand;4. Department of Chemical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand;1. Raytheon BBN Technologies, 10 Moulton Street, Cambridge, MA, USA;2. Johns Hopkins University, 3400 North Charles Street, Baltimore, MD, USA;1. Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Henan Key Laboratory of Integrated Air Pollution Control and Ecological Security, College of Environment and Planning, Henan University, Kaifeng, Henan 475004, China;2. Department of Marine, Earth and Atmospheric Science, North Carolina State University, Raleigh, NC 27695, USA;3. State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China;1. Bingham Research Center, Utah State University, 320 Aggie Boulevard, Vernal, UT, 84078, USA;2. University of Utah Department of Atmospheric Sciences, 135 S 1460 E Rm 819 WBB, Salt Lake City, UT, 84112, USA |
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| Abstract: | Under many conditions size-resolved aqueous-phase chemistry models predict higher sulfate production rates than comparable bulk aqueous-phase models. However, there are special circumstances under which bulk and size-resolved models offer similar predictions. These special conditions include alkaline conditions (when there is a high ammonia to nitric acid ratio or a large amount of alkaline dust) or conditions under which the initial H2O2 concentration exceeds that of SO2. Given that bulk models are less computationally-intensive than corresponding size-resolved models, a model equipped to combine the accuracy of the size-resolved code with the efficiency of the bulk method is proposed in this work. Bulk and two-section size-resolved approaches are combined into a single variable size-resolution model (VSRM) in an effort to combine both accuracy and computational speed. Depending on initial system conditions, bulk or size-resolved calculations are executed based on a set of semi-empirical rules. These rules were generated based on our understanding of the system and from the results of many model simulations for a range of input conditions. For the conditions examined here, on average, the VSRM sulfate predictions are within 3% of a six-section size-resolved model, but the VSRM is fifteen times faster. |
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