Articles | Volume 10, issue 3
Earth Syst. Sci. Data, 10, 1451–1456, 2018
https://doi.org/10.5194/essd-10-1451-2018
Earth Syst. Sci. Data, 10, 1451–1456, 2018
https://doi.org/10.5194/essd-10-1451-2018

Review article 15 Aug 2018

Review article | 15 Aug 2018

Twenty-five years of cloud base height measurements by ceilometer in Ny-Ålesund, Svalbard

Marion Maturilli and Kerstin Ebell

Related authors

GNSS-based water vapor estimation and validation during the MOSAiC expedition
Benjamin Männel, Florian Zus, Galina Dick, Susanne Glaser, Maximilian Semmling, Kyriakos Balidakis, Jens Wickert, Marion Maturilli, Sandro Dahlke, and Harald Schuh
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2021-79,https://doi.org/10.5194/amt-2021-79, 2021
Preprint under review for AMT
Short summary
Siberian fire smoke in the High-Arctic winter stratosphere observed during MOSAiC 2019–2020
Kevin Ohneiser, Albert Ansmann, Ronny Engelmann, Christoph Ritter, Alexandra Chudnovsky, Igor Veselovskii, Holger Baars, Henriette Gebauer, Hannes Griesche, Martin Radenz, Julian Hofer, Dietrich Althausen, Sandro Dahlke, and Marion Maturilli
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2021-117,https://doi.org/10.5194/acp-2021-117, 2021
Preprint under review for ACP
Short summary
Advanced method for estimating the number concentration of cloud water and liquid water content observed by cloud particle sensor sondes
Jun Inoue, Kazutoshi Sato, Yutaka Tobo, Fumikazu Taketani, and Marion Maturilli
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2020-476,https://doi.org/10.5194/amt-2020-476, 2021
Preprint under review for AMT
Short summary
A systematic assessment of water vapor products in the Arctic: from instantaneous measurements to monthly means
Susanne Crewell, Kerstin Ebell, Patrick Konjari, Mario Mech, Tatiana Nomokonova, Ana Radovan, David Strack, Arantxa M. Triana-Gómez, Stefan Noël, Raul Scarlat, Gunnar Spreen, Marion Maturilli, Annette Rinke, Irina Gorodetskaya, Carolina Viceto, Thomas August, and Marc Schröder
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2020-491,https://doi.org/10.5194/amt-2020-491, 2021
Revised manuscript accepted for AMT
UTLS wildfire smoke over the North Pole region, Arctic haze, and aerosol-cloud interaction during MOSAiC 2019/20: An introductory
Ronny Engelmann, Albert Ansmann, Kevin Ohneiser, Hannes Griesche, Martin Radenz, Julian Hofer, Dietrich Althausen, Sandro Dahlke, Marion Maturilli, Igor Veselovskii, Cristofer Jimenez, Robert Wiesen, Holger Baars, Johannes Bühl, Henriette Gebauer, Moritz Haarig, Patric Seifert, Ulla Wandinger, and Andreas Macke
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-1271,https://doi.org/10.5194/acp-2020-1271, 2020
Preprint under review for ACP
Short summary

Related subject area

Atmosphere – Meteorology
HydroGFD3.0 (Hydrological Global Forcing Data): a 25 km global precipitation and temperature data set updated in near-real time
Peter Berg, Fredrik Almén, and Denica Bozhinova
Earth Syst. Sci. Data, 13, 1531–1545, https://doi.org/10.5194/essd-13-1531-2021,https://doi.org/10.5194/essd-13-1531-2021, 2021
Short summary
Integrated water vapour content retrievals from ship-borne GNSS receivers during EUREC4A
Pierre Bosser, Olivier Bock, Cyrille Flamant, Sandrine Bony, and Sabrina Speich
Earth Syst. Sci. Data, 13, 1499–1517, https://doi.org/10.5194/essd-13-1499-2021,https://doi.org/10.5194/essd-13-1499-2021, 2021
Short summary
Hydrometeorological data from a Remotely Operated Multi-Parameter Station network in Central Asia
Cornelia Zech, Tilo Schöne, Julia Illigner, Nico Stolarczuk, Torsten Queißer, Matthias Köppl, Heiko Thoss, Alexander Zubovich, Azamat Sharshebaev, Kakhramon Zakhidov, Khurshid Toshpulatov, Yusufjon Tillayev, Sukhrob Olimov, Zabihullah Paiman, Katy Unger-Shayesteh, Abror Gafurov, and Bolot Moldobekov
Earth Syst. Sci. Data, 13, 1289–1306, https://doi.org/10.5194/essd-13-1289-2021,https://doi.org/10.5194/essd-13-1289-2021, 2021
Short summary
WegenerNet high-resolution weather and climate data from 2007 to 2020
Jürgen Fuchsberger, Gottfried Kirchengast, and Thomas Kabas
Earth Syst. Sci. Data, 13, 1307–1334, https://doi.org/10.5194/essd-13-1307-2021,https://doi.org/10.5194/essd-13-1307-2021, 2021
Short summary
G2DC-PL+: a gridded 2 km daily climate dataset for the union of the Polish territory and the Vistula and Odra basins
Mikołaj Piniewski, Mateusz Szcześniak, Ignacy Kardel, Somsubhra Chattopadhyay, and Tomasz Berezowski
Earth Syst. Sci. Data, 13, 1273–1288, https://doi.org/10.5194/essd-13-1273-2021,https://doi.org/10.5194/essd-13-1273-2021, 2021
Short summary

Cited articles

Bennartz, R., Shupe, M. D., Turner, D. D., Walden, V. P., Steffen, K., Cox, C. J., Kulie, M. S., Miller, N. B., and Pettersen, C.: July 2012 Greenland melt extent enhanced by low-level liquid clouds, Nature, 496, 83–86, https://doi.org/10.1038/nature12002, 2013. 
Chernokulsky, A. and Mokhov, I. I.: Climatology of Total Cloudiness in the Arctic: An Intercomparison of Observations and Reanalyses, Adv. Meteorol., 2012, 542093, https://doi.org/10.1155/2012/542093, 2012. 
Chylek, P., Folland, C., Lesins, G., Dubey, M., and Wang, M.: Arctic air temperature change amplification and the Atlantic Multidecadal Oscillation, Geophys. Res. Lett., 36, L14801, https://doi.org/10.1029/2009GL038777, 2009. 
Curry, J. A., Rossow, W. B., Randall, D., and Schramm, J. L.: Overview of Arctic cloud and radiation characteristics, J. Climate, 9, 1731–1764, https://doi.org/10.1175/1520-0442(1996)009<1731:OOACAR>2.0.CO;2, 1996. 
Karlsson, J. and Svensson, G.: The simulation of Arctic clouds and their influence on the winter surface temperature in present-day climate in the CMIP3 multi-model dataset, Clim. Dynam., 36, 623–635, https://doi.org/10.1007/s00382-010-0758-6, 2011. 
Download
Short summary
We present a 25-year data record of cloud base height measured by ceilometer at the Ny-Ålesund, Svalbard, Arctic site. The long-term time series allows derivation of an annual cycle of the cloud occurrence frequency, revealing more frequent cloud cover in summer and the lowest cloud cover amount in April. The cloud base data further provide essential information for the interpretation of the surface radiation balance and contribute to understanding meteorological processes at high latitudes.