{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T14:34:11Z","timestamp":1784644451904,"version":"3.55.0"},"reference-count":59,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2020,1,10]],"date-time":"2020-01-10T00:00:00Z","timestamp":1578614400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the Korea Meteorological Administration Research and Development Program","award":["KMI2018-05010"],"award-info":[{"award-number":["KMI2018-05010"]}]},{"name":"the National Strategic Project-Fine Particle of the NRF","award":["NRF-2017M3D8A1092021"],"award-info":[{"award-number":["NRF-2017M3D8A1092021"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Lidar ratio for dust aerosols is retrieved from a synergetic use of the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) Total Attenuated Backscatter coefficients and the Moderate Resolution Imaging Spectroradiometer (MODIS) Aerosol Optical Depths (AODs) for 5 years from 2007 to 2011. MODIS AODs from the Dark Target (DT) algorithm over ocean and from the Deep Blue (DB) algorithm over land are used as a constraint for the retrieval. The dust lidar ratio is retrieved larger over land (46.6 \u00b1 36.3 sr) than ocean (39.5 \u00b1 16.8 sr) and shows distinct regional variation. Lidar ratio for Saharan dust (49.5 \u00b1 36.8 sr) is larger than Arabian dust (42.5 \u00b1 26.2 sr). Lidar ratios for dust aerosols transported to Mediterranean Sea (44.4 \u00b1 15.9 sr), Mid Atlantic (40.3 \u00b1 12.4 sr), and Arabian Sea (37.5 \u00b1 12.1 sr) show lower values relative to their source regions. Retrieved dust lidar ratios for Taklamakan and Gobi Deserts region (35.0 \u00b1 31.1 sr) and Australia (35.4 \u00b1 34.4 sr) are slightly lower than the above-mentioned regions. AOD comparison between CALIOP and MODIS shows that the CALIOP AOD is biased low. When including clear air AOD for CALIOP, however, AODs from two sensors become more comparable.<\/jats:p>","DOI":"10.3390\/rs12020251","type":"journal-article","created":{"date-parts":[[2020,1,13]],"date-time":"2020-01-13T04:05:51Z","timestamp":1578888351000},"page":"251","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Dust Lidar Ratios Retrieved from the CALIOP Measurements Using the MODIS AOD as a Constraint"],"prefix":"10.3390","volume":"12","author":[{"given":"Man-Hae","family":"Kim","sequence":"first","affiliation":[{"name":"School of Earth and Environmental Sciences, Seoul National University, Seoul 08826, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1279-8331","authenticated-orcid":false,"given":"Sang-Woo","family":"Kim","sequence":"additional","affiliation":[{"name":"School of Earth and Environmental Sciences, Seoul National University, Seoul 08826, Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ali H.","family":"Omar","sequence":"additional","affiliation":[{"name":"NASA Langley Research Center, Hampton, VA 23666, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,1,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1211","DOI":"10.1175\/2010BAMS3009.1","article-title":"The CALIPSO mission: A global 3D view of aerosols and clouds","volume":"91","author":"Winker","year":"2010","journal-title":"Bull. 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