A first global height-resolved cloud condensation nuclei data set derived from spaceborne lidar measurements
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Published:2023-08-22
Issue:8
Volume:15
Page:3747-3760
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ISSN:1866-3516
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Container-title:Earth System Science Data
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language:en
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Short-container-title:Earth Syst. Sci. Data
Author:
Choudhury GoutamORCID, Tesche MatthiasORCID
Abstract
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–longitude grid of 2∘×5∘, a vertical grid of resolution 60 m from the surface to an altitude of 8 km, and a temporal resolution of 1 month. The data span a total of 186 months, from June 2006 to December 2021. 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–cloud interactions. The complete data set can be accessed at https://doi.org/10.1594/PANGAEA.956215 (Choudhury and Tesche, 2023).
Funder
Deutscher Akademischer Austauschdienst
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences
Reference50 articles.
1. Albrecht, B. A.: Aerosols, Cloud Microphysics, and Fractional
Cloudiness, Science, 245, 1227–1230, https://doi.org/10.1126/science.245.4923.1227,
1989. a 2. 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, 7127–7153, https://doi.org/10.5194/acp-15-7127-2015, 2015. a 3. Andreae, M. O. and Rosenfeld, D.: Aerosol–cloud–precipitation interactions.
Part 1. The nature and sources of cloud-active aerosols, Earth-Sci.
Rev., 89, 13–41, https://doi.org/10.1016/j.earscirev.2008.03.001, 2008. a 4. Aravindhavel, A., Choudhury, G., Prabhakaran, T., Murugav<span id="page3758"/>el, P., and Tesche,
M.: Retrieval and validation of cloud condensation nuclei from satellite and
airborne measurements over the Indian Monsoon region, Atmos. Res.,
290, 106802, https://doi.org/10.1016/j.atmosres.2023.106802, 2023. a, b 5. Bellouin, N., Quaas, J., Gryspeerdt, E., Kinne, S., Stier, P., Watson-Parris,
D., Boucher, O., Carslaw, K. S., Christensen, M., Daniau, A.-L., Dufresne,
J.-L., Feingold, G., Fiedler, S., Forster, P., Gettelman, A., Haywood, J. M.,
Lohmann, U., Malavelle, F., Mauritsen, T., McCoy, D. T., Myhre, G.,
Mülmenstädt, J., Neubauer, D., Possner, A., Rugenstein, M., Sato, Y.,
Schulz, M., Schwartz, S. E., Sourdeval, O., Storelvmo, T., Toll, V., Winker,
D., and Stevens, B.: Bounding Global Aerosol Radiative Forcing of
Climate Change, Rev. Geophys., 58, e2019RG000660,
https://doi.org/10.1029/2019RG000660, 2020. a, b
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