Observed and modelled cloud cover up to 6 km height at Station Nord in the high Arctic

Sven‐Erik Gryning*, Ekaterina Batchvarova, Rogier Ralph Floors, Christoph Münkel, Henrik Skov, Lise Lotte Sørensen

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

We present results from an analyses of cloud cover based on profiles of the attenuated backscatter coefficient from an 8‐year long data series (July 2011 – April 2019). The observations are carried out in the high Arctic by a ceilometer with a maximum range setting of 7.7 km from the Villum Research Station at Station Nord, Greenland. Results show that the hourly cloud cover turned out to follow a U‐shaped rather than Gaussian‐like distribution.

Annual and seasonal cloud cover variation is illustrated. The cloud cover is larger during the autumn and winter as compared to summer and spring. The cloud cover exhibits a substantial variation from year to year without a clear trend. The cloud cover during spring is low and decreasing between 2012 and 2017. The cloud cover during the autumn of 2016 is lowest compared to the other years.

The observed cloud cover is compared to the cloud cover provided in the ERA5 reanalysis data‐set. The cloud cover for low clouds and medium clouds are combined to represent a total height of 6 km. Both the observed and modelled cloud cover is larger during winter as compared to summer‐time cloud cover. The measured reduction in the cloud cover for the autumn of 2016 is present in the reanalysis data as well but the measured low cloud cover during spring is not apparent in the reanalysis data.

Because the cloud cover distribution is U‐shaped rather than of a Gaussian nature, standard metrics are not applicable. We apply a generalized skill score that is developed for contingency tables or joint histograms. Three skill scores were calculated. It was found that for all three methods, skills for the predictability of the cloud cover by the ERA5 modelling is better for winter than summer and is poor during the spring.
Original languageEnglish
JournalInternational Journal of Climatology
ISSN0899-8418
DOIs
Publication statusAccepted/In press - 2021

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