Articles | Volume 11, issue 10
Atmos. Meas. Tech., 11, 5439–5460, 2018
Atmos. Meas. Tech., 11, 5439–5460, 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 et al.

Related authors

Retrieval of the land-sea contrast of cloud liquid water path by applying a physical inversion algorithm to combined zenith and off-zenith ground-based microwave measurements
Vladimir Kostsov, Dmitry Ionov, and Anke Kniffka
Atmos. Meas. Tech. Discuss.,,, 2022
Revised manuscript not accepted
Short summary
The CO2 integral emission by the megacity of St Petersburg as quantified from ground-based FTIR measurements combined with dispersion modelling
Dmitry V. Ionov, Maria V. Makarova, Frank Hase, Stefani C. Foka, Vladimir S. Kostsov, Carlos Alberti, Thomas Blumenstock, Thorsten Warneke, and Yana A. Virolainen
Atmos. Chem. Phys., 21, 10939–10963,,, 2021
Short summary
Inter-annual, seasonal and diurnal features of the cloud liquid water path over the land surface and various water bodies in Northern Europe as obtained from the satellite observations by the SEVIRI instrument in 2011–2017
Vladimir S. Kostsov, Anke Kniffka, and Dmitry V. Ionov
Atmos. Chem. Phys. Discuss.,,, 2021
Revised manuscript not accepted
Short summary
Emission Monitoring Mobile Experiment (EMME): an overview and first results of the St. Petersburg megacity campaign 2019
Maria V. Makarova, Carlos Alberti, Dmitry V. Ionov, Frank Hase, Stefani C. Foka, Thomas Blumenstock, Thorsten Warneke, Yana A. Virolainen, Vladimir S. Kostsov, Matthias Frey, Anatoly V. Poberovskii, Yuri M. Timofeyev, Nina N. Paramonova, Kristina A. Volkova, Nikita A. Zaitsev, Egor Y. Biryukov, Sergey I. Osipov, Boris K. Makarov, Alexander V. Polyakov, Viktor M. Ivakhov, Hamud Kh. Imhasin, and Eugene F. Mikhailov
Atmos. Meas. Tech., 14, 1047–1073,,, 2021
Short summary
Detection of the cloud liquid water path horizontal inhomogeneity in a coastline area by means of ground-based microwave observations: feasibility study
Vladimir S. Kostsov, Dmitry V. Ionov, and Anke Kniffka
Atmos. Meas. Tech., 13, 4565–4587,,, 2020
Short summary

Related subject area

Subject: Clouds | Technique: Remote Sensing | Topic: Validation and Intercomparisons
The impact of sampling strategy on the cloud droplet number concentration estimated from satellite data
Edward Gryspeerdt, Daniel T. McCoy, Ewan Crosbie, Richard H. Moore, Graeme J. Nott, David Painemal, Jennifer Small-Griswold, Armin Sorooshian, and Luke Ziemba
Atmos. Meas. Tech., 15, 3875–3892,,, 2022
Short summary
Horizontal geometry of trade wind cumuli – aircraft observations from a shortwave infrared imager versus a radar profiler
Henning Dorff, Heike Konow, and Felix Ament
Atmos. Meas. Tech., 15, 3641–3661,,, 2022
Short summary
Evaluating the consistency and continuity of pixel-scale cloud property data records from Aqua and SNPP (Suomi National Polar-orbiting Partnership)
Qing Yue, Eric J. Fetzer, Likun Wang, Brian H. Kahn, Nadia Smith, John M. Blaisdell, Kerry G. Meyer, Mathias Schreier, Bjorn Lambrigtsen, and Irina Tkatcheva
Atmos. Meas. Tech., 15, 2099–2123,,, 2022
Short summary
Quality assessment of Second-generation Global Imager (SGLI)-observed cloud properties using SKYNET surface observation data
Pradeep Khatri, Tadahiro Hayasaka, Hitoshi Irie, Husi Letu, Takashi Y. Nakajima, Hiroshi Ishimoto, and Tamio Takamura
Atmos. Meas. Tech., 15, 1967–1982,,, 2022
Short summary
Impact of the revisit frequency on cloud climatology for CALIPSO, EarthCARE, Aeolus, and ICESat-2 satellite lidar missions
Andrzej Z. Kotarba
Atmos. Meas. Tech. Discuss.,,, 2022
Revised manuscript accepted for AMT
Short summary

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: (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,, 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,, 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,, 2015. 
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.