{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T06:43:03Z","timestamp":1778740983743,"version":"3.51.4"},"reference-count":34,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2020,5,11]],"date-time":"2020-05-11T00:00:00Z","timestamp":1589155200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41975023"],"award-info":[{"award-number":["41975023"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2017YFC0212803"],"award-info":[{"award-number":["2017YFC0212803"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>When retrieving Aerosol Optical Depth (AOD) from passive satellite sensors, the vertical distribution of aerosols usually needs to be assumed, potentially causing uncertainties in the retrievals. In this study, we use the Moderate Resolution Spectroradiometer (MODIS) and Visible Infrared Imaging Radiometer Suite (VIIRS) sensors as examples to investigate the impact of aerosol vertical distribution on AOD retrievals. A series of sensitivity experiments was conducted using radiative transfer models with different aerosol profiles and surface conditions. Assuming a 0.2 AOD, we found that the AOD retrieval error is the most sensitive to the vertical distribution of absorbing aerosols; a \u22121 km error in aerosol scale height can lead to a ~30% AOD retrieval error. Moreover, for this aerosol type, ignoring the existence of the boundary layer can further result in a ~10% AOD retrieval error. The differences in the vertical distribution of scattering and absorbing aerosols within the same column may also cause \u221215% (scattering aerosols above absorbing aerosols) to 15% (scattering aerosols below absorbing aerosols) errors. Surface reflectance also plays an important role in affecting the AOD retrieval error, with higher errors over brighter surfaces in general. The physical mechanism associated with the AOD retrieval errors is also discussed. Finally, by replacing the default exponential profile with the observed aerosol vertical profile by a micro-pulse lidar at the Beijing-PKU site in the VIIRS retrieval algorithm, the retrieved AOD shows a much better agreement with surface observations, with the correlation coefficient increased from 0.63 to 0.83 and bias decreased from 0.15 to 0.03. Our study highlights the importance of aerosol vertical profile assumption in satellite AOD retrievals, and indicates that considering more realistic profiles can help reduce the uncertainties.<\/jats:p>","DOI":"10.3390\/rs12091524","type":"journal-article","created":{"date-parts":[[2020,5,11]],"date-time":"2020-05-11T12:26:30Z","timestamp":1589199990000},"page":"1524","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":36,"title":["Impact of Aerosol Vertical Distribution on Aerosol Optical Depth Retrieval from Passive Satellite Sensors"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1177-3805","authenticated-orcid":false,"given":"Chong","family":"Li","sequence":"first","affiliation":[{"name":"Department of Atmospheric and Oceanic Science, School of Physics, Peking University, Beijing 100871, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0540-0412","authenticated-orcid":false,"given":"Jing","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Atmospheric and Oceanic Science, School of Physics, Peking University, Beijing 100871, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3482-6460","authenticated-orcid":false,"given":"Oleg","family":"Dubovik","sequence":"additional","affiliation":[{"name":"Laboratoire d\u2019Optique Atmosph\u00e9rique, CNRS\/Universit\u00e9 Lille-1, 59655 Villeneuve d\u2019Ascq, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0008-6508","authenticated-orcid":false,"given":"Zhao-Cheng","family":"Zeng","sequence":"additional","affiliation":[{"name":"Division of Planetary and Geological Sciences, California Institute of Technology, Pasadena, CA 91125, USA"},{"name":"Joint Institute for Regional Earth System Science and Engineering (JIFRESSE), University of California, Los Angeles, CA 90095, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuk L.","family":"Yung","sequence":"additional","affiliation":[{"name":"Division of Planetary and Geological Sciences, California Institute of Technology, Pasadena, CA 91125, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,5,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1175\/1520-0469(2002)059<0262:GTCARO>2.0.CO;2","article-title":"Global two-channel AVHRR retrievals of aerosol properties over the ocean for the period of NOAA-9 observations and preliminary retrievals using NOAA-7 and NOAA-11 data","volume":"59","author":"Geogdzhayev","year":"2002","journal-title":"J. Atmos. Sci."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Levy, R.C., Remer, L.A., and Dubovik, O. (2007). Global aerosol optical properties and application to Moderate Resolution Imaging Spectroradiometer aerosol retrieval over land. J. Geophys. Res. Atmos., 112.","DOI":"10.1029\/2006JD007815"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"2989","DOI":"10.5194\/amt-6-2989-2013","article-title":"The Collection 6 MODIS aerosol products over land and ocean","volume":"6","author":"Levy","year":"2013","journal-title":"Atmos. Meas. Tech."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"12673","DOI":"10.1002\/2013JD020449","article-title":"Suomi-NPP VIIRS aerosol algorithms and data products","volume":"118","author":"Jackson","year":"2013","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"368","DOI":"10.1016\/j.jqsrt.2018.12.002","article-title":"Evaluating VIIRS EPS Aerosol Optical Depth in China: An intercomparison against ground-based measurements and MODIS","volume":"224","author":"Li","year":"2019","journal-title":"J. Quant. Spectrosc. Radiat. Transf."},{"key":"ref_6","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_7","doi-asserted-by":"crossref","first-page":"201","DOI":"10.5194\/amt-4-201-2011","article-title":"Evaluating the assumptions of surface reflectance and aerosol type selection within the MODIS aerosol retrieval over land: The problem of dust type selection","volume":"4","author":"Mielonen","year":"2011","journal-title":"Atmos. Meas. Tech."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"8391","DOI":"10.3390\/rs70708391","article-title":"Effect of the aerosol model assumption on the atmospheric correction over land: Case studies with CHRIS\/PROBA hyperspectral images over Benelux","volume":"7","author":"Tirelli","year":"2015","journal-title":"Remote Sens."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Wang, W., Pan, Z., Mao, F., Gong, W., and Shen, L. (2017). Evaluation of VIIRS land aerosol model selection with AERONET measurements. Int. J. Environ. Res. Public Health., 14.","DOI":"10.3390\/ijerph14091016"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Wu, Y., de Graaf, M., and Menenti, M. (2016). The sensitivity of AOD retrieval to aerosol type and vertical distribution over land with MODIS data. Remote Sens., 8.","DOI":"10.3390\/rs8090765"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"8801","DOI":"10.1002\/2016JD026355","article-title":"The impact of aerosol vertical distribution on aerosol optical depth retrieval using CALIPSO and MODIS data: Case study over dust and smoke regions","volume":"122","author":"Wu","year":"2017","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"4248","DOI":"10.1002\/2015JD023322","article-title":"Atmospheres An analysis of global aerosol type as retrieved by MISR","volume":"12","author":"Kahn","year":"2015","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_13","unstructured":"Laszlo, I., and Liu, H.Q. (2016). EPS Aerosol Optical Depth (AOD) Algorithm Theoretical Basis Document."},{"key":"ref_14","first-page":"1","article-title":"Second-generation operational algorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance","volume":"112","author":"Levy","year":"2007","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"975","DOI":"10.5194\/amt-4-975-2011","article-title":"Statistically optimized inversion algorithm for enhanced retrieval of aerosol properties from spectral multi-angle polarimetric satellite observations","volume":"4","author":"Dubovik","year":"2011","journal-title":"Atmos. Meas. Tech."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"557","DOI":"10.1109\/TGRS.2004.824067","article-title":"Aerosol Properties over Bright-Reflecting Source Regions","volume":"42","author":"Hsu","year":"2004","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Tao, M., Wang, Z., Tao, J., Chen, L., Wang, J., Hou, C., Wang, L., Xu, X., and Zhu, H. (2017). How Do Aerosol Properties Affect the Temporal Variation of MODIS AOD Bias in Eastern China?. Remote Sens., 9.","DOI":"10.3390\/rs9080800"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Wang, W., Mao, F., Pan, Z., Du, L., and Gong, W. (2017). Validation of VIIRS AOD through a Comparison with a Sun Photometer and MODIS AODs over Wuhan. Remote Sens., 9.","DOI":"10.3390\/rs9050403"},{"key":"ref_19","first-page":"1","article-title":"Second simulation of a satellite signal in the solar spectrum-vector (6SV)","volume":"3","author":"Vermote","year":"2006","journal-title":"6S User Guide Version"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"2215","DOI":"10.1364\/AO.47.002215","article-title":"Radiative transfer codes for atmospheric correction and aerosol retrieval: Intercomparison study","volume":"47","author":"Kotchenova","year":"2008","journal-title":"Appl. Opt."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1117\/12.410338","article-title":"MODTRAN4: Radiative transfer modeling for remote sensing","volume":"4049","author":"Anderson","year":"2000","journal-title":"Proc. SPIE"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"662","DOI":"10.1117\/12.606026","article-title":"MODTRAN 5: A reformulated atmospheric band model with auxiliary species and practical multiple scattering options: Update","volume":"5806","author":"Berk","year":"2005","journal-title":"Algorithms Technol. Multispectr. Hyperspectr. Ultraspectr. Imag. XI"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"11664","DOI":"10.1002\/2013JD020418","article-title":"Suomi NPP VIIRS sensor data record verification, validation, and long-term performance monitoring","volume":"118","author":"Cao","year":"2013","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.atmosres.2019.04.017","article-title":"Seasonal and diurnal variability of planetary boundary layer height in Beijing: Intercomparison between MPL and WRF results","volume":"227","author":"Chu","year":"2019","journal-title":"Atmos. Res."},{"key":"ref_25","first-page":"29","article-title":"CALIOP algorithm theoretical basis document, part 1: CALIOP instrument, and algorithms overview","volume":"2","author":"Winker","year":"2006","journal-title":"Release"},{"key":"ref_26","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_27","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_28","doi-asserted-by":"crossref","first-page":"831","DOI":"10.1175\/1520-0477(1998)079<0831:OPOAAC>2.0.CO;2","article-title":"Optical properties of Aerosols and Clouds: The Software Package OPAC","volume":"79","author":"Hess","year":"1998","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"ACH 1-1","DOI":"10.1029\/2002JD002378","article-title":"Interannual and seasonal variability of biomass burning emissions constrained by satellite observations","volume":"108","author":"Duncan","year":"2003","journal-title":"J. Geophys. Res. D Atmos."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1029\/2006JD008205","article-title":"Spatial and seasonal distributions of carbonaceous aerosols over China","volume":"112","author":"Cao","year":"2007","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"6417","DOI":"10.5194\/acp-14-6417-2014","article-title":"A study of aerosol liquid water content based on hygroscopicity measurements at high relative humidity in the North China Plain","volume":"14","author":"Bian","year":"2014","journal-title":"Atmos. Chem. Phys."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"8439","DOI":"10.5194\/acp-15-8439-2015","article-title":"Observations of relative humidity effects on aerosol light scattering in the Yangtze River Delta of China","volume":"15","author":"Zhang","year":"2015","journal-title":"Atmos. Chem. Phys."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"10710","DOI":"10.1029\/2018GL079286","article-title":"Constraining aerosol vertical profile in the boundary layer using hyperspectral measurements of oxygen absorption","volume":"45","author":"Zeng","year":"2018","journal-title":"Geophys. Res. Lett."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"111494","DOI":"10.1016\/j.rse.2019.111494","article-title":"Constraining the vertical distribution of coastal dust aerosol using OCO-2 O2 A-band measurements","volume":"236","author":"Zeng","year":"2020","journal-title":"Remote Sens. Environ."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/9\/1524\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T09:27:30Z","timestamp":1760174850000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/9\/1524"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5,11]]},"references-count":34,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2020,5]]}},"alternative-id":["rs12091524"],"URL":"https:\/\/doi.org\/10.3390\/rs12091524","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,5,11]]}}}