Articles | Volume 11, issue 10
https://doi.org/10.5194/amt-11-5439-2018
https://doi.org/10.5194/amt-11-5439-2018
Research article
 | 
05 Oct 2018
Research article |  | 05 Oct 2018

Cloud liquid water path in the sub-Arctic region of Europe as derived from ground-based and space-borne remote observations

Vladimir S. Kostsov, Anke Kniffka, and Dmitry V. Ionov

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Cited articles

Anand, H., Foster, M. S., Krishnamagaru, R., and Passi, R. M.: VERMOD Capabilities, VERMOD 1.0 and Future, Institute for Naval Oceanography, Technical Memo, June 1991, 33 pp., available at: https://ntrl.ntis.gov/NTRL/dashboard/searchResults/titleDetail/ADA239801.xhtml (last access: 25 September 2018), 1991. 
Beesley, J. A.: Estimating of the effect of clouds on the arctic surface energy budget, J. Geophys. Res., 105, 10103–10117, 2000. 
Benas, N., Finkensieper, S., Stengel, M., van Zadelhoff, G.-J., Hanschmann, T., Hollmann, R., and Meirink, J. F.: The MSG-SEVIRI-based cloud property data record CLAAS-2, Earth Syst. Sci. Data, 9, 415–434, https://doi.org/10.5194/essd-9-415-2017, 2017. 
Callaghan, T. V., Bergholm, F., Christensen, T. R., Jonasson, C.,  Kokfelt, U., and Johansson, M.: A new climate era in the sub-Arctic: Accelerating climate changes and multiple impacts, Geophys. Res. Lett., 37, L14705, https://doi.org/10.1029/2009GL042064, 2010. 
Cossu, F., Hocke, K., and Maetzler C.: A 10-Year Cloud Fraction Climatology of Liquid Water Clouds over Bern Observed by a Ground-Based Microwave Radiometer, Remote Sens., 7, 7768–7784, https://doi.org/10.3390/rs70607768, 2015. 
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Short summary
Clouds are a very important component of the climate system and of the hydrological cycle in the Arctic and sub-Arctic. A joint analysis of the cloud parameters obtained remotely from satellite and ground-based observations near St Petersburg, Russia, has been made. Our study has revealed considerable differences between the cloud properties over land and over water areas in the region under investigation.
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