Innovative Strategies for Observations in the Arctic Atmospheric Boundary Layer (ISOBAR)-the Hailuoto 2017 campaign

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Kral, S.T.; Reuder, J.; Vihma, T.; Suomi, I.; O'Connor, E. et al.: Innovative Strategies for Observations in the Arctic Atmospheric Boundary Layer (ISOBAR)-the Hailuoto 2017 campaign. In: Atmosphere 9 (2018), Nr. 7, 268. DOI: https://doi.org/10.3390/atmos9070268

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The aim of the research project "Innovative Strategies for Observations in the Arctic Atmospheric Boundary Layer (ISOBAR)" is to substantially increase the understanding of the stable atmospheric boundary layer (SBL) through a combination of well-established and innovative observation methods as well as by models of different complexity. During three weeks in February 2017, a first field campaign was carried out over the sea ice of the Bothnian Bay in the vicinity of the Finnish island of Hailuoto. Observations were based on ground-based eddy-covariance (EC), automatic weather stations (AWS) and remote-sensing instrumentation as well as more than 150 flight missions by several different Unmanned Aerial Vehicles (UAVs) during mostly stable and very stable boundary layer conditions. The structure of the atmospheric boundary layer (ABL) and above could be resolved at a very high vertical resolution, especially close to the ground, by combining surface-based measurements with UAV observations, i.e., multicopter and fixed-wing profiles up to 200magl and 1800magl, respectively. Repeated multicopter profiles provided detailed information on the evolution of the SBL, in addition to the continuous SODAR and LIDAR wind measurements. The paper describes the campaign and the potential of the collected data set for future SBL research and focuses on both the UAV operations and the benefits of complementing established measurement methods by UAV measurements to enable SBL observations at an unprecedented spatial and temporal resolution.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2018
Appears in Collections:Fakultät für Mathematik und Physik

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pos. country downloads
total perc.
1 image of flag of Germany Germany 131 56.47%
2 image of flag of United States United States 49 21.12%
3 image of flag of China China 17 7.33%
4 image of flag of Russian Federation Russian Federation 11 4.74%
5 image of flag of No geo information available No geo information available 6 2.59%
6 image of flag of Indonesia Indonesia 3 1.29%
7 image of flag of Vietnam Vietnam 2 0.86%
8 image of flag of France France 2 0.86%
9 image of flag of Austria Austria 2 0.86%
10 image of flag of Peru Peru 1 0.43%
    other countries 8 3.45%

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