Articles | Volume 11, issue 1
https://doi.org/10.5194/amt-11-551-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-551-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Jan 2018
Research article |
| 29 Jan 2018
| 29 Jan 2018
The Small Whiskbroom Imager for atmospheric compositioN monitorinG (SWING) and its operations from an unmanned aerial vehicle (UAV) during the AROMAT campaign
Alexis Merlaud
CORRESPONDING AUTHOR
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Avenue Circulaire 3, 1180 Brussels, Belgium
Frederik Tack
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Avenue Circulaire 3, 1180 Brussels, Belgium
Daniel Constantin
“Dunarea de Jos” University of Galati, Str. Domneasca 111, Galati 800008, Romania
Lucian Georgescu
“Dunarea de Jos” University of Galati, Str. Domneasca 111, Galati 800008, Romania
Jeroen Maes
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Avenue Circulaire 3, 1180 Brussels, Belgium
Caroline Fayt
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Avenue Circulaire 3, 1180 Brussels, Belgium
Florin Mingireanu
Romanian Space Agency (ROSA), Mendeleev Street, nr. 21–25, Bucharest 10362, Romania
Dirk Schuettemeyer
European Space Agency (ESA-ESTEC), Keplerlaan 1, 2201 AZ Noordwijk, the Netherlands
Andreas Carlos Meier
Institute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany
Anja Schönardt
Institute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, 28359 Bremen, Germany
Thomas Ruhtz
Institute for Space Sciences, Free University of Berlin, Carl-Heinrich-Becker-Weg 6–10, 12165 Berlin, Germany
Livio Bellegante
National Institute of R&D for Optoelectronics (INOE), Street Atomistilor 409, Magurele 77125, Romania
Doina Nicolae
National Institute of R&D for Optoelectronics (INOE), Street Atomistilor 409, Magurele 77125, Romania
Mirjam Den Hoed
Royal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
Marc Allaart
Royal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3731 GA De Bilt, the Netherlands
Michel Van Roozendael
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Avenue Circulaire 3, 1180 Brussels, Belgium
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Cited
13 citations as recorded by crossref.
- The quantification of NO<sub><i>x</i></sub> and SO<sub>2</sub> point source emission flux errors of mobile differential optical absorption spectroscopy on the basis of the Gaussian dispersion model: a simulation study Y. Huang et al. 10.5194/amt-13-6025-2020
- Assessment of the TROPOMI tropospheric NO<sub>2</sub> product based on airborne APEX observations F. Tack et al. 10.5194/amt-14-615-2021
- Intercomparison of four airborne imaging DOAS systems for tropospheric NO<sub>2</sub> mapping – the AROMAPEX campaign F. Tack et al. 10.5194/amt-12-211-2019
- Concept of small satellite UV/visible imaging spectrometer optimized for tropospheric NO2 measurements in air quality monitoring T. Fujinawa et al. 10.1016/j.actaastro.2019.03.081
- Near-surface and path-averaged mixing ratios of NO<sub>2</sub> derived from car DOAS zenith-sky and tower DOAS off-axis measurements in Vienna: a case study S. Schreier et al. 10.5194/acp-19-5853-2019
- Observations of Atmospheric NO2 Using a New Low-Cost MAX-DOAS System A. Roşu et al. 10.3390/atmos11020129
- Validation of Sentinel-5P TROPOMI tropospheric NO2 products by comparison with NO2 measurements from airborne imaging DOAS, ground-based stationary DOAS, and mobile car DOAS measurements during the S5P-VAL-DE-Ruhr campaign K. Lange et al. 10.5194/amt-16-1357-2023
- First Concurrent Observations of NO2 and CO2 From Power Plant Plumes by Airborne Remote Sensing T. Fujinawa et al. 10.1029/2021GL092685
- Constraining industrial ammonia emissions using hyperspectral infrared imaging L. Noppen et al. 10.1016/j.rse.2023.113559
- Highly resolved mapping of NO2 vertical column densities from GeoTASO measurements over a megacity and industrial area during the KORUS-AQ campaign G. Choo et al. 10.5194/amt-16-625-2023
- A Cotton Leaf Water Potential Prediction Model Based on Particle Swarm Optimisation of the LS-SVM Model Y. Gao et al. 10.3390/agronomy13122929
- State of the Art and Future Perspectives of Atmospheric Chemical Sensing Using Unmanned Aerial Vehicles: A Bibliometric Analysis D. Marin et al. 10.3390/s23208384
- Satellite validation strategy assessments based on the AROMAT campaigns A. Merlaud et al. 10.5194/amt-13-5513-2020
13 citations as recorded by crossref.
- The quantification of NO<sub><i>x</i></sub> and SO<sub>2</sub> point source emission flux errors of mobile differential optical absorption spectroscopy on the basis of the Gaussian dispersion model: a simulation study Y. Huang et al. 10.5194/amt-13-6025-2020
- Assessment of the TROPOMI tropospheric NO<sub>2</sub> product based on airborne APEX observations F. Tack et al. 10.5194/amt-14-615-2021
- Intercomparison of four airborne imaging DOAS systems for tropospheric NO<sub>2</sub> mapping – the AROMAPEX campaign F. Tack et al. 10.5194/amt-12-211-2019
- Concept of small satellite UV/visible imaging spectrometer optimized for tropospheric NO2 measurements in air quality monitoring T. Fujinawa et al. 10.1016/j.actaastro.2019.03.081
- Near-surface and path-averaged mixing ratios of NO<sub>2</sub> derived from car DOAS zenith-sky and tower DOAS off-axis measurements in Vienna: a case study S. Schreier et al. 10.5194/acp-19-5853-2019
- Observations of Atmospheric NO2 Using a New Low-Cost MAX-DOAS System A. Roşu et al. 10.3390/atmos11020129
- Validation of Sentinel-5P TROPOMI tropospheric NO2 products by comparison with NO2 measurements from airborne imaging DOAS, ground-based stationary DOAS, and mobile car DOAS measurements during the S5P-VAL-DE-Ruhr campaign K. Lange et al. 10.5194/amt-16-1357-2023
- First Concurrent Observations of NO2 and CO2 From Power Plant Plumes by Airborne Remote Sensing T. Fujinawa et al. 10.1029/2021GL092685
- Constraining industrial ammonia emissions using hyperspectral infrared imaging L. Noppen et al. 10.1016/j.rse.2023.113559
- Highly resolved mapping of NO2 vertical column densities from GeoTASO measurements over a megacity and industrial area during the KORUS-AQ campaign G. Choo et al. 10.5194/amt-16-625-2023
- A Cotton Leaf Water Potential Prediction Model Based on Particle Swarm Optimisation of the LS-SVM Model Y. Gao et al. 10.3390/agronomy13122929
- State of the Art and Future Perspectives of Atmospheric Chemical Sensing Using Unmanned Aerial Vehicles: A Bibliometric Analysis D. Marin et al. 10.3390/s23208384
- Satellite validation strategy assessments based on the AROMAT campaigns A. Merlaud et al. 10.5194/amt-13-5513-2020
Latest update: 20 Nov 2024
Short summary
We present SWING-UAV, an atmospheric observation system based on a compact scanning spectrometer (SWING) mounted on an unmanned aerial vehicle (UAV). SWING-UAV was operated in the exhaust plume of a power plant in Romania in September 2014, during the AROMAT campaign. SWING quantified the NO2 emitted by the plant and the water vapour content in the boundary layer, in agreement with ancillary data. The system appears in particular promising to study emissions in rural areas.
We present SWING-UAV, an atmospheric observation system based on a compact scanning spectrometer...
