The Small Whiskbroom Imager for atmospheric compositioN monitorinG (SWING) and its operations from an unmanned aerial vehicle (UAV) during the AROMAT campaign
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Published:2018-01-29
Issue:1
Volume:11
Page:551-567
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ISSN:1867-8548
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Container-title:Atmospheric Measurement Techniques
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language:en
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Short-container-title:Atmos. Meas. Tech.
Author:
Merlaud Alexis, Tack Frederik, Constantin Daniel, Georgescu Lucian, Maes Jeroen, Fayt Caroline, Mingireanu Florin, Schuettemeyer Dirk, Meier Andreas Carlos, Schönardt Anja, Ruhtz ThomasORCID, Bellegante Livio, Nicolae Doina, Den Hoed Mirjam, Allaart Marc, Van Roozendael Michel
Abstract
Abstract. The Small Whiskbroom Imager for atmospheric compositioN monitorinG (SWING) is
a compact remote sensing instrument dedicated to mapping trace gases from an
unmanned aerial vehicle (UAV). SWING is based on a compact visible
spectrometer and a scanning mirror to collect scattered sunlight. Its weight,
size, and power consumption are respectively 920 g,
27 cm × 12 cm × 8 cm, and 6 W. SWING was
developed in parallel with a 2.5 m flying-wing UAV. This unmanned
aircraft is electrically powered, has a typical airspeed of
100 km h−1, and can operate at a maximum altitude of
3 km. We present SWING-UAV experiments performed in Romania on 11 September 2014
during the Airborne ROmanian Measurements of Aerosols and Trace gases
(AROMAT) campaign, which was dedicated to test newly developed instruments in
the context of air quality satellite validation. The UAV was operated up to
700 m above ground, in the vicinity of the large power plant of
Turceni (44.67∘ N, 23.41∘ E; 116 ma.s.l.). These
SWING-UAV flights were coincident with another airborne experiment using the
Airborne imaging differential optical absorption spectroscopy (DOAS)
instrument for Measurements of Atmospheric Pollution (AirMAP), and with
ground-based DOAS, lidar, and balloon-borne in situ observations. The spectra recorded during the SWING-UAV flights are analysed with the DOAS
technique. This analysis reveals NO2 differential slant column
densities (DSCDs) up to 13±0.6×1016 molec cm−2.
These NO2 DSCDs are converted to vertical column densities (VCDs) by
estimating air mass factors. The resulting NO2 VCDs are up to
4.7±0.4×1016 molec cm−2. The water vapour DSCD
measurements, up to 8±0.15×1022 molec cm−2, are used
to estimate a volume mixing ratio of water vapour in the boundary layer of
0.013±0.002 mol mol−1. These geophysical quantities are
validated with the coincident measurements.
Publisher
Copernicus GmbH
Subject
Atmospheric Science
Reference61 articles.
1. Baidar, S., Oetjen, H., Coburn, S., Dix, B., Ortega, I., Sinreich, R., and
Volkamer, R.: The CU Airborne MAX-DOAS instrument: vertical profiling of
aerosol extinction and trace gases, Atmos. Meas. Tech., 6, 719–739,
https://doi.org/10.5194/amt-6-719-2013, 2013. a 2. Bates, T. S., Quinn, P. K., Johnson, J. E., Corless, A., Brechtel, F. J.,
Stalin, S. E., Meinig, C., and Burkhart, J. F.: Measurements of atmospheric
aerosol vertical distributions above Svalbard, Norway, using unmanned aerial
systems (UAS), Atmos. Meas. Tech., 6, 2115–2120,
https://doi.org/10.5194/amt-6-2115-2013, 2013. a 3. Beirle, S., Lampel, J., Lerot, C., Sihler, H., and Wagner, T.: Parameterizing
the instrumental spectral response function and its changes by a
super-Gaussian and its derivatives, Atmos. Meas. Tech., 10, 581–598,
https://doi.org/10.5194/amt-10-581-2017, 2017. a 4. Berg, N., Mellqvist, J., Jalkanen, J.-P., and Balzani, J.: Ship emissions of
SO2 and NO2: DOAS measurements from airborne platforms, Atmos.
Meas. Tech., 5, 1085–1098, https://doi.org/10.5194/amt-5-1085-2012, 2012. a 5. Bogumil, K., Orphal, J., Homann, T., Voigt, S., Spietz, P., Fleischmann, O.,
Vogel, A., Hartmann, M., Kromminga, H., Bovensmann, H., Frerick, J., and
Burrows, J.: Measurements of molecular absorption spectra with the SCIAMACHY
pre-flight model: instrument characterization and reference data for
atmospheric remote-sensing in the 230–2380 nm region, J. Photoch.
Photobio. A., 157, 167–184, 2003. a, b
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