Winter atmospheric boundary layer observations over sea ice in the coastal zone of the Bay of Bothnia (Baltic Sea)
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Published:2021-01-06
Issue:1
Volume:13
Page:33-42
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ISSN:1866-3516
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Container-title:Earth System Science Data
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language:en
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Short-container-title:Earth Syst. Sci. Data
Author:
Wenta MartaORCID, Brus DavidORCID, Doulgeris KonstantinosORCID, Vakkari Ville, Herman AgnieszkaORCID
Abstract
Abstract. The Hailuoto Atmospheric Observations over Sea ice (HAOS) campaign took place
at the westernmost point of Hailuoto island (Finland) between 27 February and
2 March 2020. The aim of the campaign was to obtain atmospheric boundary layer
(ABL) observations over seasonal sea ice in the Bay of Bothnia. Throughout
4 d, both fixed-wing and quad-propeller rotorcraft unmanned aerial
vehicles (UAVs) were deployed over the sea ice to measure the properties of the
lower ABL and to obtain accompanying high-resolution aerial photographs of the
underlying ice surface. Additionally, a 3D sonic anemometer, an automatic
weather station, and a Halo Doppler lidar were installed on the shore to
collect meteorological observations. During the UAV flights, measurements of
temperature, relative humidity, and atmospheric pressure were collected at four different altitudes between 25 and 100 m over an area of
∼ 1.5 km2 of sea ice, located 1.1–1.3 km off the shore of Hailuoto's Marjaniemi pier, together with orthomosaic maps of the ice
surface below. Altogether the obtained dataset consists of 27 meteorological
flights, four photogrammetry missions, and continuous measurements of atmospheric
properties from ground-based stations located at the coast. The acquired
observations have been quality controlled and post-processed and are available
through the PANGAEA repository
(https://doi.org/10.1594/PANGAEA.918823, Wenta et al., 2020).
The obtained dataset provides us with valuable information about ABL properties over thin, newly formed sea ice cover and about physical processes at the interface of sea ice and atmosphere which may be used for the validation and further improvement of numerical weather prediction (NWP) models.
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences
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