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{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,12,14]],"date-time":"2023-12-14T06:10:08Z","timestamp":1702534208426},"reference-count":50,"publisher":"Copernicus GmbH","issue":"8","license":[{"start":{"date-parts":[[2023,8,22]],"date-time":"2023-08-22T00:00:00Z","timestamp":1692662400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001655","name":"Deutscher Akademischer Austauschdienst","doi-asserted-by":"publisher","award":["57429422"]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Earth Syst. Sci. Data"],"abstract":"<jats:p>Abstract. We present a global multiyear height-resolved data set of aerosol-type-specific cloud condensation nuclei concentrations (nCCN) estimated from the spaceborne lidar aboard the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellite. For estimating nCCN, we apply the recently introduced Optical Modelling of the CALIPSO Aerosol Microphysics (OMCAM) algorithm to the CALIPSO Level 2 Aerosol Profile product. The estimated nCCN are then gridded into a uniform latitude\u2013longitude grid of 2\u2218\u00d75\u2218, a vertical grid of resolution 60\u2009m from the surface to an altitude of 8\u2009km, and a temporal resolution of 1\u00a0month. The data span a total of 186\u00a0months, from June\u00a02006 to December\u00a02021. In addition, we provide a 3D aerosol-type-specific climatology of nCCN produced using the complete time series. We further highlight some potential applications of the data set in the context of aerosol\u2013cloud interactions. The complete data set can be accessed at https:\/\/doi.org\/10.1594\/PANGAEA.956215 (Choudhury and Tesche,\u00a02023).\n <\/jats:p>","DOI":"10.5194\/essd-15-3747-2023","type":"journal-article","created":{"date-parts":[[2023,8,22]],"date-time":"2023-08-22T08:54:11Z","timestamp":1692694451000},"page":"3747-3760","source":"Crossref","is-referenced-by-count":2,"title":["A first global height-resolved cloud condensation nuclei data set derived from spaceborne lidar measurements"],"prefix":"10.5194","volume":"15","author":[{"ORCID":"http:\/\/orcid.org\/0000-0001-5748-0517","authenticated-orcid":false,"given":"Goutam","family":"Choudhury","sequence":"first","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0003-0096-4785","authenticated-orcid":false,"given":"Matthias","family":"Tesche","sequence":"additional","affiliation":[]}],"member":"3145","published-online":{"date-parts":[[2023,8,22]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","unstructured":"Albrecht, B.\u00a0A.: Aerosols, Cloud Microphysics, and Fractional\nCloudiness, Science, 245, 1227\u20131230, https:\/\/doi.org\/10.1126\/science.245.4923.1227,\n1989.\u2002a","DOI":"10.1126\/science.245.4923.1227"},{"key":"ref2","doi-asserted-by":"crossref","unstructured":"Amiridis, V., Marinou, E., Tsekeri, A., Wandinger, U., Schwarz, A., Giannakaki, E., Mamouri, R., Kokkalis, P., Binietoglou, I., Solomos, S., Herekakis, T., Kazadzis, S., Gerasopoulos, E., Proestakis, E., Kottas, M., Balis, D., Papayannis, A., Kontoes, C., Kourtidis, K., Papagiannopoulos, N., Mona, L., Pappalardo, G., Le Rille, O., and Ansmann, A.: LIVAS: a 3-D multi-wavelength aerosol\/cloud database based on CALIPSO and EARLINET, Atmos. Chem. Phys., 15, 7127\u20137153, https:\/\/doi.org\/10.5194\/acp-15-7127-2015, 2015.\u2002a","DOI":"10.5194\/acp-15-7127-2015"},{"key":"ref3","doi-asserted-by":"crossref","unstructured":"Andreae, M.\u00a0O. and Rosenfeld, D.: Aerosol\u2013cloud\u2013precipitation interactions.\nPart 1. The nature and sources of cloud-active aerosols, Earth-Sci.\nRev., 89, 13\u201341, https:\/\/doi.org\/10.1016\/j.earscirev.2008.03.001, 2008.\u2002a","DOI":"10.1016\/j.earscirev.2008.03.001"},{"key":"ref4","doi-asserted-by":"crossref","unstructured":"Aravindhavel, A., Choudhury, G., Prabhakaran, T., Murugav<span id="page3758"\/>el, P., and Tesche,\nM.: Retrieval a
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