Development of UI-WRF-Chem (v1.0) for the MAIA satellite mission: case demonstration

We sincerely thank NASA Jet Propulsion Laboratory (JPL) (subcontract no. 1583456) for funding this research. The work of Sebastian Val, James L. McDuffie, Sina Hasheminassab, Scott E. Gluck and David J. Diner was carried out at the JPL, California Institute of Technology, under a contract with NASA (80NM0018D0004). We acknowledge the public availability of the various satellite datasets used here from NASA's different Distributed Active Archive Centers (DAACs): MODIS and VIIRS data from Level 1 and Atmosphere Archive and Distribution System (LAADS DAAC); the CALIOP data from Atmospheric Science Data Center (ASDC) at NASA's Langley Research Center; MERRA-2, GLDAS, NLDAS, TROPOMI and GPM data from the Goddard Earth Sciences Data and Information Service Center (GES DISC). We are grateful for the ground observations of meteorology variables (e.g., t2), provided by the Meteorological Information Comprehensive Analysis and Process System (MICAPS) in China, U.S. EPA and National Centers for Environmental Information (NCEI) Integrated Surface Database (ISD). We are thankful for the availability of ground observations of surface PM2.5 and PM10 concentration from environmental monitoring stations managed by the Ministry of Environmental Protection in China, U.S. EPA, and ARPA Lazio and ARPAE Emilia Romagna in Italy. We are also thankful for the speciated PM2.5 data from the IMPROVE and CSN networks in the U.S. We appreciate the AERONET networks for making their data publicly available and are grateful for the site PIs and data managers of the networks. We acknowledge the use of the WPS component in the NU-WRF system, which is available at: https://nuwrf.gsfc.nasa.gov/ (last access: 13 February 2019). We also acknowledge the use of the various WRF-Chem preprocessor tools (mozbc, bio_emiss, anthro_emiss and EPA_ANTHRO_EMIS), provided by the Atmospheric Chemistry Observations and Modeling Lab (ACOM) of National Center for Atmospheric Research (NCAR). We are also grateful for the anthropogenic emission inventories available to the public: EDGAR-HTAP global dataset provided by the European Commission, U.S. EPA NEI dataset by U.S. EPA and MEIC emission dataset for China provided by Tsinghua University. We thank Dr. Edward Hyer from the Naval Research Laboratory (NRL) for providing FLAMBE emission inventories. We also thank the Argon High-Performance Computing (HPC) system at the University of Iowa for the support. We are grateful for the two anonymous reviewers for their time and efforts to provide constructive feedback to improve our manuscript.