Development and application of a backscatter lidar forward operator for quantitative validation of aerosol dispersion models and future data assimilation
A new backscatter lidar forward operator was developed which is based on the distinct calculation of the aerosols’ backscatter and extinction properties. The forward operator was adapted to the COSMO-ART ash dispersion simulation of the Eyjafjallajökull eruption in 2010. While the particle number co...
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ftunivreading:oai:centaur.reading.ac.uk:74324 2024-06-23T07:52:36+00:00 Development and application of a backscatter lidar forward operator for quantitative validation of aerosol dispersion models and future data assimilation Geisinger, Armin Behrendt, Andreas Wulfmeyer, Volker Strohbach, Jens Förstner, Jochen Potthast, Roland 2017 text https://centaur.reading.ac.uk/74324/ https://centaur.reading.ac.uk/74324/1/amt-10-4705-2017.pdf https://doi.org/10.5194/amt-10-4705-2017 en eng Copernicus https://centaur.reading.ac.uk/74324/1/amt-10-4705-2017.pdf Geisinger, A., Behrendt, A., Wulfmeyer, V., Strohbach, J., Förstner, J. and Potthast, R. <https://centaur.reading.ac.uk/view/creators/90000514.html> orcid:0000-0001-6794-2500 (2017) Development and application of a backscatter lidar forward operator for quantitative validation of aerosol dispersion models and future data assimilation. Atmospheric Measurement Techniques, 10 (12). pp. 4705-4726. ISSN 1867-8548 doi: https://doi.org/10.5194/amt-10-4705-2017 <https://doi.org/10.5194/amt-10-4705-2017> cc_by Article PeerReviewed 2017 ftunivreading https://doi.org/10.5194/amt-10-4705-2017 2024-06-11T15:07:33Z A new backscatter lidar forward operator was developed which is based on the distinct calculation of the aerosols’ backscatter and extinction properties. The forward operator was adapted to the COSMO-ART ash dispersion simulation of the Eyjafjallajökull eruption in 2010. While the particle number concentration was provided as a model output variable, the scattering properties of each individual particle type were determined by dedicated scattering calculations. Sensitivity studies were performed to estimate the uncertainties related to the assumed particle properties. Scattering calculations for several types of non-spherical particles required the usage of T-matrix routines. Due to the distinct calculation of the backscatter and extinction properties of the models’ volcanic ash size classes, the sensitivity studies could be made for each size class individually, which is not the case for forward models based on a fixed lidar ratio. Finally, the forward-modeled lidar profiles have been compared to automated ceilometer lidar (ACL) measurements both qualitatively and quantitatively while the attenuated backscatter coefficient was chosen as a suitable physical quantity. As the ACL measurements were not calibrated automatically, their calibration had to be performed using satellite lidar and ground-based Raman lidar measurements. A slight overestimation of the model-predicted volcanic ash number density was observed. Major requirements for future data assimilation of data from ACL have been identified, namely, the availability of calibrated lidar measurement data, a scattering database for atmospheric aerosols, a better representation and coverage of aerosols by the ash dispersion model, and more investigation in backscatter lidar forward operators which calculate the backscatter coefficient directly for each individual aerosol type. The introduced forward operator offers the flexibility to be adapted to a multitude of model systems and measurement setups. Article in Journal/Newspaper Eyjafjallajökull CentAUR: Central Archive at the University of Reading Atmospheric Measurement Techniques 10 12 4705 4726 |
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Open Polar |
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CentAUR: Central Archive at the University of Reading |
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ftunivreading |
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English |
description |
A new backscatter lidar forward operator was developed which is based on the distinct calculation of the aerosols’ backscatter and extinction properties. The forward operator was adapted to the COSMO-ART ash dispersion simulation of the Eyjafjallajökull eruption in 2010. While the particle number concentration was provided as a model output variable, the scattering properties of each individual particle type were determined by dedicated scattering calculations. Sensitivity studies were performed to estimate the uncertainties related to the assumed particle properties. Scattering calculations for several types of non-spherical particles required the usage of T-matrix routines. Due to the distinct calculation of the backscatter and extinction properties of the models’ volcanic ash size classes, the sensitivity studies could be made for each size class individually, which is not the case for forward models based on a fixed lidar ratio. Finally, the forward-modeled lidar profiles have been compared to automated ceilometer lidar (ACL) measurements both qualitatively and quantitatively while the attenuated backscatter coefficient was chosen as a suitable physical quantity. As the ACL measurements were not calibrated automatically, their calibration had to be performed using satellite lidar and ground-based Raman lidar measurements. A slight overestimation of the model-predicted volcanic ash number density was observed. Major requirements for future data assimilation of data from ACL have been identified, namely, the availability of calibrated lidar measurement data, a scattering database for atmospheric aerosols, a better representation and coverage of aerosols by the ash dispersion model, and more investigation in backscatter lidar forward operators which calculate the backscatter coefficient directly for each individual aerosol type. The introduced forward operator offers the flexibility to be adapted to a multitude of model systems and measurement setups. |
format |
Article in Journal/Newspaper |
author |
Geisinger, Armin Behrendt, Andreas Wulfmeyer, Volker Strohbach, Jens Förstner, Jochen Potthast, Roland |
spellingShingle |
Geisinger, Armin Behrendt, Andreas Wulfmeyer, Volker Strohbach, Jens Förstner, Jochen Potthast, Roland Development and application of a backscatter lidar forward operator for quantitative validation of aerosol dispersion models and future data assimilation |
author_facet |
Geisinger, Armin Behrendt, Andreas Wulfmeyer, Volker Strohbach, Jens Förstner, Jochen Potthast, Roland |
author_sort |
Geisinger, Armin |
title |
Development and application of a backscatter lidar forward operator for quantitative validation of aerosol dispersion models and future data assimilation |
title_short |
Development and application of a backscatter lidar forward operator for quantitative validation of aerosol dispersion models and future data assimilation |
title_full |
Development and application of a backscatter lidar forward operator for quantitative validation of aerosol dispersion models and future data assimilation |
title_fullStr |
Development and application of a backscatter lidar forward operator for quantitative validation of aerosol dispersion models and future data assimilation |
title_full_unstemmed |
Development and application of a backscatter lidar forward operator for quantitative validation of aerosol dispersion models and future data assimilation |
title_sort |
development and application of a backscatter lidar forward operator for quantitative validation of aerosol dispersion models and future data assimilation |
publisher |
Copernicus |
publishDate |
2017 |
url |
https://centaur.reading.ac.uk/74324/ https://centaur.reading.ac.uk/74324/1/amt-10-4705-2017.pdf https://doi.org/10.5194/amt-10-4705-2017 |
genre |
Eyjafjallajökull |
genre_facet |
Eyjafjallajökull |
op_relation |
https://centaur.reading.ac.uk/74324/1/amt-10-4705-2017.pdf Geisinger, A., Behrendt, A., Wulfmeyer, V., Strohbach, J., Förstner, J. and Potthast, R. <https://centaur.reading.ac.uk/view/creators/90000514.html> orcid:0000-0001-6794-2500 (2017) Development and application of a backscatter lidar forward operator for quantitative validation of aerosol dispersion models and future data assimilation. Atmospheric Measurement Techniques, 10 (12). pp. 4705-4726. ISSN 1867-8548 doi: https://doi.org/10.5194/amt-10-4705-2017 <https://doi.org/10.5194/amt-10-4705-2017> |
op_rights |
cc_by |
op_doi |
https://doi.org/10.5194/amt-10-4705-2017 |
container_title |
Atmospheric Measurement Techniques |
container_volume |
10 |
container_issue |
12 |
container_start_page |
4705 |
op_container_end_page |
4726 |
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1802643957682798592 |