{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T10:34:09Z","timestamp":1776335649098,"version":"3.51.2"},"reference-count":59,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2019,4,28]],"date-time":"2019-04-28T00:00:00Z","timestamp":1556409600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002855","name":"Ministry of Science and Technology of the People's Republic of China","doi-asserted-by":"publisher","award":["2016YFA0600104"],"award-info":[{"award-number":["2016YFA0600104"]}],"id":[{"id":"10.13039\/501100002855","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The geostationary earth orbit satellite\u2014Himawari-8 loaded with the Advanced Himawari Imager (AHI) has greatly enhanced our capacity of dynamic monitoring in Asia\u2013Pacific area. The Himawari-8\/AHI hourly aerosol product is a promising complementary source to the MODerate resolution Imaging Spectroradiometer (MODIS) daily aerosol product for near real-time air pollution observations. However, a comprehensive evaluation of AHI aerosol optical depth (AOD) is still limited, and the difference in performances of AHI and MODIS remains uncertain. In this study, we evaluated the Himawari-8\/AHI Level 3 Version 3.0 and MODIS Collection 6.1 Deep Blue AOD products over China against AOD measurements from AErosol RObotic NETwork (AERONET) sites in a spatiotemporal comparison of the products from February 2018 to January 2019. Results showed that AHI AOD achieved a moderate agreement with AERONET with a correlation coefficient of 0.75 and a root-mean-square-error of 0.26, which was slightly inferior to MODIS. The retrieval accuracy was spatially and temporally varied in AHI AOD, with higher accuracies for XiangHe and Lulin sites as well as in the morning and during the summer. The dependency analysis further revealed that the bias in AHI AOD was strongly dependent on aerosol loading and influenced by the \u00c5ngstr\u00f6m Exponent and NDVI while those for MODIS appeared to be independent of all variables. Fortunately, the biases in AHI AOD could be rectified using a random forest model that contained the appropriate variables to produce sufficiently accurate results with cross-validation R of 0.92 and RMSE of 0.15. With these adjustments, AHI AOD will continue to have great potential in characterizing precise dynamic aerosol variations and air quality at a fine temporal resolution.<\/jats:p>","DOI":"10.3390\/rs11091011","type":"journal-article","created":{"date-parts":[[2019,4,29]],"date-time":"2019-04-29T02:57:32Z","timestamp":1556506652000},"page":"1011","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":39,"title":["Himawari-8\/AHI and MODIS Aerosol Optical Depths in China: Evaluation and Comparison"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8722-3463","authenticated-orcid":false,"given":"Tingting","family":"Jiang","sequence":"first","affiliation":[{"name":"Department of Earth System Science, Tsinghua University, Beijing 100084, China"}]},{"given":"Bin","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Earth System Science, Tsinghua University, Beijing 100084, China"},{"name":"Department of Land, Air and Water Resources, University of California, Davis, CA 95616, USA"}]},{"given":"Karen Kie Yan","family":"Chan","sequence":"additional","affiliation":[{"name":"Department of Earth System Science, Tsinghua University, Beijing 100084, China"}]},{"given":"Bing","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Earth System Science, Tsinghua University, Beijing 100084, China"}]}],"member":"1968","published-online":{"date-parts":[[2019,4,28]]},"reference":[{"key":"ref_1","unstructured":"Hinds, W.C. (2012). Aerosol Technology: Properties, Behavior, and Measurement of Airborne Particles, John Wiley and Sons."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1126\/science.255.5043.423","article-title":"Climate Forcing by Anthropogenic Aerosols","volume":"255","author":"Charlson","year":"1992","journal-title":"Science"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1002\/cssc.200900037","article-title":"Our Current Understanding of the Impact of Aerosols on Climate Change","volume":"2","author":"Prather","year":"2009","journal-title":"ChemSusChem"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"2435","DOI":"10.1016\/0960-1686(91)90159-5","article-title":"Aerosols, clouds and radiation","volume":"25","author":"Twomey","year":"1991","journal-title":"Atmos. Environ. Ageneral Top."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"6459","DOI":"10.1002\/2016JD024938","article-title":"Distinct impact of different types of aerosols on surface solar radiation in China: Variation of Aerosol Radiative Effect","volume":"121","author":"Yang","year":"2016","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.atmosres.2018.04.029","article-title":"Wintertime cooling and a potential connection with transported aerosols in Hong Kong during recent decades","volume":"211","author":"Yang","year":"2018","journal-title":"Atmos. Res."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1149","DOI":"10.1175\/1520-0469(1977)034<1149:TIOPOT>2.0.CO;2","article-title":"The Influence of Pollution on the Shortwave Albedo of Clouds","volume":"34","author":"Twomey","year":"1977","journal-title":"J. Atmos. Sci."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"787","DOI":"10.1038\/nature04636","article-title":"Increased Arctic cloud longwave emissivity associated with pollution from mid-latitudes","volume":"440","author":"Garrett","year":"2006","journal-title":"Nature"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"4093","DOI":"10.1002\/2015JD024645","article-title":"Intensification of aerosol pollution associated with its feedback with surface solar radiation and winds in Beijing: Aerosol Intensification by Feedback","volume":"121","author":"Yang","year":"2016","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1907","DOI":"10.1016\/S0140-6736(17)30505-6","article-title":"Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the Global Burden of Diseases Study 2015","volume":"389","author":"Cohen","year":"2017","journal-title":"Lancet"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1233","DOI":"10.1016\/S0140-6736(02)11274-8","article-title":"Air pollution and health","volume":"360","author":"Brunekreef","year":"2002","journal-title":"Lancet"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1127","DOI":"10.1001\/jama.295.10.1127","article-title":"Fine Particulate Air Pollution and Hospital Admission for Cardiovascular and Respiratory Diseases","volume":"295","author":"Dominici","year":"2006","journal-title":"JAMA"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1345","DOI":"10.1016\/S0140-6736(17)32366-8","article-title":"Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990\u20132016: a systematic analysis for the Global Burden of Disease Study 2016","volume":"390","author":"Gakidou","year":"2017","journal-title":"Lancet"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1815","DOI":"10.5194\/acp-6-1815-2006","article-title":"An AeroCom initial assessment \u2013 optical properties in aerosol component modules of global models","volume":"6","author":"Kinne","year":"2006","journal-title":"Atmos. Chem. Phys."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"13473","DOI":"10.5194\/acp-17-13473-2017","article-title":"Analysis of influential factors for the relationship between PM2.5 and AOD in Beijing","volume":"17","author":"Zheng","year":"2017","journal-title":"Atmos. Chem. Phys."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0034-4257(98)00031-5","article-title":"AERONET\u2014A federated instrument network and data archive for aerosol characterization","volume":"66","author":"Holben","year":"1998","journal-title":"Remote Sens. Environ."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Chen, B., Song, Y., Jiang, T., Chen, Z., Huang, B., and Xu, B. (2018). Real-Time Estimation of Population Exposure to PM2.5 Using Mobile- and Station-Based Big Data. Int. J. Environ. Res. Public Health, 15.","DOI":"10.3390\/ijerph15040573"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"3145","DOI":"10.1002\/2017JD027913","article-title":"Spatial Representativeness of PM 2.5 Concentrations Obtained Using Observations From Network Stations","volume":"123","author":"Shi","year":"2018","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2229","DOI":"10.1175\/1520-0477(1999)080<2229:RSOTAF>2.0.CO;2","article-title":"Remote Sensing of Tropospheric Aerosols from Space: Past, Present, and Future","volume":"80","author":"King","year":"1999","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_20","first-page":"D13210","article-title":"Global aerosol optical properties and application to Moderate Resolution Imaging Spectroradiometer aerosol retrieval over land","volume":"112","author":"Levy","year":"2007","journal-title":"J. Geophys. Res.-Atmos."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"372","DOI":"10.1016\/j.atmosres.2007.02.008","article-title":"Aerosol remote sensing over land: A comparison of satellite retrievals using different algorithms and instruments","volume":"85","author":"Kokhanovsky","year":"2007","journal-title":"Atmos. Res."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.atmosres.2016.11.009","article-title":"Validation of MODIS and VIIRS derived aerosol optical depth over complex coastal waters","volume":"186","author":"Bilal","year":"2017","journal-title":"Atmos. Res."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1520","DOI":"10.1109\/TGRS.2002.801142","article-title":"Regional aerosol retrieval results from MISR","volume":"40","author":"Martonchik","year":"2002","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1286","DOI":"10.1109\/36.628795","article-title":"The MODIS 2.1-\/spl mu\/m channel-correlation with visible reflectance for use in remote sensing of aerosol","volume":"35","author":"Kaufman","year":"1997","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"3180","DOI":"10.1109\/TGRS.2006.879540","article-title":"Deep Blue Retrievals of Asian Aerosol Properties during ACE-Asia","volume":"44","author":"Hsu","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1016\/j.atmosenv.2018.12.023","article-title":"Evaluation and comparison of MODIS Collection 6.1 aerosol optical depth against AERONET over regions in China with multifarious underlying surfaces","volume":"200","author":"Wang","year":"2019","journal-title":"Atmos. Environ."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"428","DOI":"10.1016\/j.atmosenv.2018.12.004","article-title":"MODIS Collection 6.1 aerosol optical depth products over land and ocean: validation and comparison","volume":"201","author":"Wei","year":"2019","journal-title":"Atmos. Environ."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"D23206","DOI":"10.1029\/2011JD016159","article-title":"Three-dimensional variational assimilation of MODIS aerosol optical depth: Implementation and application to a dust storm over East Asia","volume":"116","author":"Liu","year":"2011","journal-title":"J. Geophys. Res.-Atmos."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"3762","DOI":"10.1021\/acs.est.5b05833","article-title":"Global Estimates of Fine Particulate Matter using a Combined Geophysical-Statistical Method with Information from Satellites, Models, and Monitors","volume":"50","author":"Martin","year":"2016","journal-title":"Environ. Sci. Technol."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1002\/2016JD025954","article-title":"Can MODIS cloud fraction fully represent the diurnal and seasonal variations at DOE ARM SGP and Manus sites?","volume":"122","author":"Wang","year":"2017","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"9188","DOI":"10.1002\/2014GL062089","article-title":"Assimilation of next generation geostationary aerosol optical depth retrievals to improve air quality simulations","volume":"41","author":"Saide","year":"2014","journal-title":"Geophys. Res. Lett."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1016\/j.atmosenv.2018.04.020","article-title":"Review of surface particulate monitoring of dust events using geostationary satellite remote sensing","volume":"183","author":"Sowden","year":"2018","journal-title":"Atmos. Environ."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"86","DOI":"10.2151\/sola.2016-020","article-title":"Data Assimilation of Himawari-8 Aerosol Observations: Asian Dust Forecast in June 2015","volume":"12","author":"Sekiyama","year":"2016","journal-title":"SOLA"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"5886","DOI":"10.1002\/2016GL069298","article-title":"Aerosol data assimilation using data from Himawari-8, a next-generation geostationary meteorological satellite","volume":"43","author":"Yumimoto","year":"2016","journal-title":"Geophys. Res. Lett."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"She, L., Xue, Y., Yang, X., Guang, J., Li, Y., Che, Y., Fan, C., and Xie, Y. (2018). Dust detection and intensity estimation using Himawari-8\/AHI observation. Remote Sens., 10.","DOI":"10.3390\/rs10040490"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"3442","DOI":"10.1109\/TGRS.2018.2800060","article-title":"Improved Hourly Estimates of Aerosol Optical Thickness Using Spatiotemporal Variability Derived From Himawari-8 Geostationary Satellite","volume":"56","author":"Kikuchi","year":"2018","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"654","DOI":"10.1016\/j.envpol.2018.05.100","article-title":"Estimating hourly PM1 concentrations from Himawari-8 aerosol optical depth in China","volume":"241","author":"Zang","year":"2018","journal-title":"Environ. Pollut."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"151","DOI":"10.2151\/jmsj.2016-009","article-title":"An Introduction to Himawari-8\/9\u2014 Japan\u2019s New-Generation Geostationary Meteorological Satellites","volume":"94","author":"Bessho","year":"2016","journal-title":"J. Meteorol. Soc. Jpn. Ser. II"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Yoshida, M., Kikuchi, M., Nagao, T.M., Murakami, H., Nomaki, T., and Higurashi, A. (2018). Common Retrieval of Aerosol Properties for Imaging Satellite Sensors. J. Meteorol. Soc. Jpn. Ser. II, 96B.","DOI":"10.2151\/jmsj.2018-039"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"3293","DOI":"10.5194\/amt-9-3293-2016","article-title":"A surface reflectance scheme for retrieving aerosol optical depth over urban surfaces in MODIS Dark Target retrieval algorithm","volume":"9","author":"Gupta","year":"2016","journal-title":"Atmos. Meas. Tech."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"9296","DOI":"10.1002\/jgrd.50712","article-title":"Enhanced Deep Blue aerosol retrieval algorithm: The second generation: ENHANCED DEEP BLUE AEROSOL RETRIEVAL","volume":"118","author":"Hsu","year":"2013","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Bilal, M., Nazeer, M., Qiu, Z., Ding, X., and Wei, J. (2018). Global validation of MODIS C6 and C6.1 merged aerosol products over diverse vegetated surfaces. Remote Sens., 10.","DOI":"10.3390\/rs10030475"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"9791","DOI":"10.1029\/2000JD900040","article-title":"Accuracy assessments of aerosol optical properties retrieved from Aerosol Robotic Network (AERONET) Sun and sky radiance measurements","volume":"105","author":"Dubovik","year":"2000","journal-title":"J. Geophys. Res.-Atmos."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"3145","DOI":"10.5194\/amt-11-3145-2018","article-title":"Validation of MODIS 3 km land aerosol optical depth from NASA\u2019s EOS Terra and Aqua missions","volume":"11","author":"Gupta","year":"2018","journal-title":"Atmos. Meas. Tech."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"7864","DOI":"10.1002\/jgrd.50600","article-title":"Validation and uncertainty estimates for MODIS Collection 6 \u201cDeep Blue\u201d aerosol data","volume":"118","author":"Sayer","year":"2013","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1016\/S0034-4257(00)00109-7","article-title":"Cloud-Screening and Quality Control Algorithms for the AERONET Database","volume":"73","author":"Smirnov","year":"2000","journal-title":"Remote Sens. Environ."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1617","DOI":"10.1029\/2001GL013205","article-title":"Validation of MODIS aerosol optical depth retrieval over land","volume":"29","author":"Chu","year":"2002","journal-title":"Geophys. Res. Lett."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"MOD1-1","DOI":"10.1029\/2001GL013206","article-title":"A spatio-temporal approach for global validation and analysis of MODIS aerosol products","volume":"29","author":"Ichoku","year":"2002","journal-title":"Geophys. Res. Lett."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"31333","DOI":"10.1029\/1999JD900923","article-title":"Wavelength dependence of the optical depth of biomass burning, urban, and desert dust aerosols","volume":"104","author":"Eck","year":"1999","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"1829","DOI":"10.5194\/amt-6-1829-2013","article-title":"MODIS 3 km aerosol product: algorithm and global perspective","volume":"6","author":"Remer","year":"2013","journal-title":"Atmos. Meas. Tech."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1214\/09-SS051","article-title":"Wilcoxon-Mann-Whitney or t-test? On assumptions for hypothesis tests and multiple interpretations of decision rules","volume":"4","author":"Fay","year":"2010","journal-title":"Stat. Surv."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"6992","DOI":"10.1002\/2015JD023360","article-title":"Comparison and evaluation of the MODIS Collection 6 aerosol data in China: Comparison and Evaluation of MODIS AOD","volume":"120","author":"Tao","year":"2015","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"10399","DOI":"10.5194\/acp-10-10399-2010","article-title":"Global evaluation of the Collection 5 MODIS dark-target aerosol products over land","volume":"10","author":"Levy","year":"2010","journal-title":"Atmos. Chem. Phys."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"3724","DOI":"10.1002\/2017JD028044","article-title":"The Cloud Top Distribution and Diurnal Variation of Clouds over East Asia: Preliminary Results from Advanced Himawari Imager","volume":"123","author":"Chen","year":"2018","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"7655","DOI":"10.1002\/2013JD021413","article-title":"Multiyear satellite and surface observations of cloud fraction over China","volume":"119","author":"Ma","year":"2014","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"687","DOI":"10.1021\/acs.estlett.8b00573","article-title":"Diurnal Patterns in Global Fine Particulate Matter Concentration","volume":"5","author":"Manning","year":"2018","journal-title":"Environ. Sci. Technol. Lett."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random Forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Mach. Learn."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"5477","DOI":"10.5194\/acp-8-5477-2008","article-title":"Technical Note: Review of methods for linear least-squares fitting of data and application to atmospheric chemistry problems","volume":"11","author":"Cantrell","year":"2008","journal-title":"Atmos. Chem. Phys."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1002\/2013JD020537","article-title":"Application of spectral analysis techniques in the intercomparison of aerosol data. Part II: Using maximum covariance analysis to effectively compare spatiotemporal variability of satellite and AERONET measured aerosol optical depth: MCA COMPARISON OF AOD DATA SETS","volume":"119","author":"Li","year":"2014","journal-title":"J. Geophys. Res. Atmos."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/9\/1011\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T12:47:45Z","timestamp":1760186865000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/9\/1011"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4,28]]},"references-count":59,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2019,5]]}},"alternative-id":["rs11091011"],"URL":"https:\/\/doi.org\/10.3390\/rs11091011","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,4,28]]}}}