Retrieval of Aerosol Optical Depth from the Himawari-8 Advanced Himawari Imager data: Application over Beijing in the summer of 2016

Barnes, 2003, Status of Terra MODIS and Aqua MODIS, Adv. Space Res., 32, 2099, 10.1016/S0273-1177(03)90529-1 Bessho, 2016, An introduction to himawari-8/9-Japan's new-generation geostationary meteorological satellites, J. Meteorol. Soc. Jpn., 94, 151, 10.2151/jmsj.2016-009 Bilal, 2015, Evaluation of MODIS aerosol retrieval algorithms over the Beijing-Tianjin-Hebei region during low to very high pollution events, J. Geophys. Res.-Atmosp., 120, 7941, 10.1002/2015JD023082 Carrer, 2014, AERUS-GEO: a newly available satellite-derived aerosol optical depth product over Europe and Africa, Geophys. Res. Lett., 41, 7731, 10.1002/2014GL061707 Ceamanos, 2019, Assessing the potential of geostationary satellites for aerosol remote sensing based on critical surface albedo, Remote Sens-Basel, 11 Che, 2014, Column aerosol optical properties and aerosol radiative forcing during a serious haze-fog month over North China Plain in 2013 based on ground-based sunphotometer measurements, Atmos. Chem. Phys., 14, 2125, 10.5194/acp-14-2125-2014 Choi, 2018, GOCI Yonsei aerosol retrieval version 2 products: an improved algorithm and error analysis with uncertainty estimation from 5-year validation over East Asia, Atmos. Meas. Tech., 11, 385, 10.5194/amt-11-385-2018 Dubovik, 2002, Variability of absorption and optical properties of key aerosol types observed in worldwide locations, J. Atmos. Sci., 59, 590, 10.1175/1520-0469(2002)059<0590:VOAAOP>2.0.CO;2 Fukuda, 2013, New approaches to removing cloud shadows and evaluating the 380 nm surface reflectance for improved aerosol optical thickness retrievals from the GOSAT/TANSO-Cloud and Aerosol Imager, J. Geophys. Res.-Atmosp., 118, 13520, 10.1002/2013JD020090 Govaerts, 2018, Joint retrieval of surface reflectance and aerosol properties with continuous variation of the state variables in the solution space - Part 1: theoretical concept, Atmos. Meas. Tech., 11, 6589, 10.5194/amt-11-6589-2018 Gupta, 2019, Applying the dark target aerosol algorithm with advanced Himawari imager observations during the KORUS-AQ field campaign, Atmos. Meas. Tech., 12, 6557, 10.5194/amt-12-6557-2019 He, 2017, MODIS 3 km and 10 km aerosol optical depth for China: evaluation and comparison, Atmos. Environ., 153, 150, 10.1016/j.atmosenv.2017.01.023 Holben, 1998, AERONET—a federated instrument network and data archive for aerosol characterization, Remote Sens. Environ., 66, 1, 10.1016/S0034-4257(98)00031-5 Holben, 2001, An emerging ground-based aerosol climatology: aerosol optical depth from AERONET, J. Geophys. Res.-Atmosp., 106, 12067, 10.1029/2001JD900014 Hsu, 2013, Enhanced Deep Blue aerosol retrieval algorithm: the second generation, J. Geophys. Res.-Atmosp., 118, 9296, 10.1002/jgrd.50712 Hsu, 2004, Aerosol properties over bright-reflecting source regions, IEEE Trans. Geosci. Rem. Sens., 42, 557, 10.1109/TGRS.2004.824067 Huang, 2014, High secondary aerosol contribution to particulate pollution during haze events in China, Nature, 514, 218, 10.1038/nature13774 Ignatov, 2002, Aerosol retrievals from individual AVHRR channels. Part I: retrieval algorithm and transition from Dave to 6S radiative transfer model, J. Atmos. Sci., 59, 313, 10.1175/1520-0469(2002)059<0313:ARFIAC>2.0.CO;2 Ignatov, 2002, Aerosol retrievals from individual AVHRR channels. Part II: quality control, probability distribution functions, information content, and consistency checks of retrievals, J. Atmos. Sci., 59, 335, 10.1175/1520-0469(2002)059<0335:ARFIAC>2.0.CO;2 Imai, 2016, Algorithm theoretical basis for himawari-8 cloud mask product, Meteorol. Satellite Cent. Tech. Note, 61, 1 Kaufman, 1997, Operational remote sensing of tropospheric aerosol over land from EOS moderate resolution imaging spectroradiometer, J. Geophys. Res. Atmos., 102, 17051, 10.1029/96JD03988 Kikuchi, 2018, Improved hourly estimates of aerosol optical thickness using spatiotemporal variability derived from himawari-8 geostationary satellite, IEEE Trans. Geosci. Rem. Sens., 56, 3442, 10.1109/TGRS.2018.2800060 Kim, 2004, Aerosol optical properties over east Asia determined from ground-based sky radiation measurements, J. Geophys. Res.-Atmosp., 109, 10.1029/2003JD003387 Kim, 2008, Retrieving aerosol optical depth using visible and mid-IR channels from geostationary satellite MTSAT-1R, Int. J. Rem. Sens., 29, 6181, 10.1080/01431160802175553 Knapp, 2005, Toward aerosol optical depth retrievals over land from GOES visible radiances: determining surface reflectance, Int. J. Rem. Sens., 26, 4097, 10.1080/01431160500099329 Knapp, 2002, Aerosol optical depth retrieval from GOES-8: uncertainty study and retrieval validation over South America, J. Geophys. Res.-Atmosp., 107, 10.1029/2001JD000505 Levy, 2013, The Collection 6 MODIS aerosol products over land and ocean, Atmos. Meas. Tech., 6, 2989, 10.5194/amt-6-2989-2013 Levy, 2007, Global aerosol optical properties and application to Moderate Resolution Imaging Spectroradiometer aerosol retrieval over land, J. Geophys. Res. Atmos., 112 Levy, 2007, Second-generation operational algorithm: retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance, J. Geophys. Res.-Atmosp., 112 Levy, 2010, Global evaluation of the Collection 5 MODIS dark-target aerosol products over land, Atmos. Chem. Phys., 10, 10.5194/acp-10-10399-2010 Li, 2019, Evaluation of JAXA himawari-8-AHI level-3 aerosol products over eastern China, Atmosphere-Basel, 10 Li, 2012, Mixing of Asian mineral dust with anthropogenic pollutants over East Asia: a model case study of a super-duststorm in March 2010, Atmos. Chem. Phys., 12, 7591, 10.5194/acp-12-7591-2012 Li, 2010, Haze types in Beijing and the influence of agricultural biomass burning, Atmos. Chem. Phys., 10, 8119, 10.5194/acp-10-8119-2010 Li, 2007, Aerosol optical properties and their radiative effects in northern China, J. Geophys. Res.-Atmosp., 112, 10.1029/2006JD007382 Martonchik, 2002, Regional aerosol retrieval results from MISR, IEEE Trans. Geosci. Rem. Sens., 40, 1520, 10.1109/TGRS.2002.801142 Mhawish, 2017, Evaluation of MODIS Collection 6 aerosol retrieval algorithms over Indo-Gangetic Plain: implications of aerosols types and mass loading, Remote Sens. Environ., 201, 297, 10.1016/j.rse.2017.09.016 Nakajima, 2011, Cloud detection performance of spaceborne visible-to-infrared multispectral imagers, Appl. Optic., 50, 2601, 10.1364/AO.50.002601 Penner, 1992, Effects of aerosol from biomass burning on the global radiation budget, Science, 256, 1432, 10.1126/science.256.5062.1432 Pope, 2006, Health effects of fine particulate air pollution: lines that connect, J. Air Waste Manag. Assoc., 56, 709, 10.1080/10473289.2006.10464485 Pope, 1995, Review of epidemiological evidence of health-effects of particulate air-pollution, Inhal. Toxicol., 7, 1, 10.3109/08958379509014267 Prados, 2007, GOES aerosol/smoke product (GASP) over North America: comparisons to AERONET and MODIS observations, J. Geophys. Res.-Atmosp., 112, 10.1029/2006JD007968 Quaas, 2008, Satellite-based estimate of the direct and indirect aerosol climate forcing, J. Geophys. Res.-Atmosp., 113, 10.1029/2007JD008962 Sayer, 2013, Validation and uncertainty estimates for MODIS Collection 6 "Deep Blue" aerosol data, J. Geophys. Res.-Atmosp., 118, 7864, 10.1002/jgrd.50600 Shang, 2017, Development of a daytime cloud and haze detection algorithm for Himawari-8 satellite measurements over central and eastern China, J. Geophys. Res.-Atmosp., 122, 3528, 10.1002/2016JD025659 Shi, 2018, Synergistic retrieval of multitemporal aerosol optical depth over North China plain using geostationary satellite data of himawari-8, J. Geophys. Res.-Atmosp., 123, 5525, 10.1029/2017JD027963 Sun, 2006, Chemical characteristics of PM2.5 and PM10 in haze-fog episodes in Beijing, Environ. Sci. Technol., 40, 3148, 10.1021/es051533g Tao, 2015, Comparison and evaluation of the MODIS Collection 6 aerosol data in China, J. Geophys. Res.-Atmosp., 120, 6992, 10.1002/2015JD023360 Wang, 2003, Geostationary satellite retrievals of aerosol optical thickness during ACE-Asia, J. Geophys. Res.-Atmosp., 108, 10.1029/2003JD003580 Wang, 2020, Evaluation of himawari-8 version 2.0 aerosol products against AERONET ground-based measurements over central and northern China, Atmos. Environ., vol. 224, 10.1016/j.atmosenv.2020.117357 Wei, 2019, Evaluation and uncertainty estimate of next-generation geostationary meteorological Himawari-8/AHI aerosol products, Sci. Total Environ., 692, 879, 10.1016/j.scitotenv.2019.07.326 Wei, 2018, Verification, improvement and application of aerosol optical depths in china part I: inter-comparison of NPP-VIIRS and Aqua-MODIS, Atmos. Environ., 10.1016/j.atmosenv.2017.11.048 Xiao, 2016, Evaluation of VIIRS, GOCI, and MODIS Collection 6AOD retrievals against ground sunphotometer observations over East Asia, Atmos. Chem. Phys., 16, 1255, 10.5194/acp-16-1255-2016 Yu, 2006, A review of measurement-based assessments of the aerosol direct radiative effect and forcing, Atmos. Chem. Phys., 6, 613, 10.5194/acp-6-613-2006 Yuan, 2008, Mixing of mineral with pollution aerosols in dust season in Beijing: revealed by source apportionment study, Atmos. Environ., 42, 2141, 10.1016/j.atmosenv.2007.11.048 Zhang, 2013, Chemical characterization and source apportionment of PM2.5 in Beijing: seasonal perspective, Atmos. Chem. Phys., 13, 7053, 10.5194/acp-13-7053-2013 Zhang, 2018, Aerosol optical depth retrieval over East Asia using himawari-8/AHI data, Remote Sens-Basel, 10 Zhang, 2019, A simplified aerosol retrieval algorithm for himawari-8 advanced Himawari imager over Beijing, Atmos. Environ., 199, 127, 10.1016/j.atmosenv.2018.11.023 Zhang, 2019, Validation of Himawari-8 aerosol optical depth retrievals over China, Atmos. Environ., 199, 32, 10.1016/j.atmosenv.2018.11.024 Zheng, 2015, Exploring the severe winter haze in Beijing: the impact of synoptic weather, regional transport and heterogeneous reactions, Atmos. Chem. Phys., 15, 2969, 10.5194/acp-15-2969-2015