{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T04:30:02Z","timestamp":1772253002453,"version":"3.50.1"},"reference-count":58,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2023,1,14]],"date-time":"2023-01-14T00:00:00Z","timestamp":1673654400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Centre National d\u2019Etudes Spatiales"},{"name":"M\u00e9t\u00e9o-France"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>In the context of the Atmosphere Observing System (AOS) international program, a new-generation spaceborne lidar is expected to be in polar orbit for deriving new observations of aerosol and clouds. In this work, we analyze the added values of these new observations for characterizing aerosol vertical distribution. For this, synthetic observations are simulated using the BLISS lidar simulator in terms of the backscatter coefficient at 532 nm. We consider two types of lidar instruments, an elastic backscatter lidar instrument and a high spectral resolution lidar (HSRL). These simulations are performed with atmospheric profiles from a nature run (NR) modeled by the MOCAGE chemical transport model. In three case studies involving large events of different aerosol species, the added value of the HSRL channel (for measuring aerosol backscatter profiles with respect to simple backscatter measurements) is shown. Observations independent of an a priori lidar ratio assumption, as done typically for simple backscattering instruments, allow probing the vertical structures of aerosol layers without divergence, even in cases of intense episodes. A 5-day study in the case of desert dust completes the study of the added value of the HSRL channel with relative mean bias from the NR of the order of 1.5%. For low abundances, relative errors in the backscatter coefficient profiles may lay between +40% and \u221240%, with mean biases between +5% and \u22125%.<\/jats:p>","DOI":"10.3390\/rs15020506","type":"journal-article","created":{"date-parts":[[2023,1,16]],"date-time":"2023-01-16T04:31:32Z","timestamp":1673843492000},"page":"506","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Added Value of Aerosol Observations of a Future AOS High Spectral Resolution Lidar with Respect to Classic Backscatter Spaceborne Lidar Measurements"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5752-7992","authenticated-orcid":false,"given":"Flavien","family":"Cornut","sequence":"first","affiliation":[{"name":"CNRM, Universit\u00e9 de Toulouse, M\u00e9t\u00e9o-France, CNRS, 42 Avenue Gaspard Coriolis, 31057 Toulouse, France"}]},{"given":"Laaziz","family":"El Amraoui","sequence":"additional","affiliation":[{"name":"CNRM, Universit\u00e9 de Toulouse, M\u00e9t\u00e9o-France, CNRS, 42 Avenue Gaspard Coriolis, 31057 Toulouse, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9330-6401","authenticated-orcid":false,"given":"Juan","family":"Cuesta","sequence":"additional","affiliation":[{"name":"Univ Paris Est Creteil and Universit\u00e9 Paris Cit\u00e9, CNRS, LISA, 94010 Cr\u00e9teil, France"}]},{"given":"J\u00e9r\u00f4me","family":"Blanc","sequence":"additional","affiliation":[{"name":"The National Centre for Space Studies (CNES), 18 Av. Edouard Belin, CEDEX 9, 31401 Toulouse, France"}]}],"member":"1968","published-online":{"date-parts":[[2023,1,14]]},"reference":[{"key":"ref_1","unstructured":"WHO (2016). Ambient Air Pollution: A Global Assessment of Exposure and Burden of Disease."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1984","DOI":"10.1002\/2015GL063040","article-title":"The fertilizing role of African dust in the Amazon rainforest: A first multiyear assessment based on data from Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations","volume":"42","author":"Yu","year":"2015","journal-title":"Geophys. Res. Lett."},{"key":"ref_3","unstructured":"Boucher, O., Randall, D., Artaxo, P., Bretherton, C., Feingold, G., Forster, P., Kerminen, V.M., Kondo, Y., Liao, H., and Lohmann, U. (2013). Clouds and aerosols. Climate Change 2013: The Physical Science Basis. 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