Articles | Volume 21, issue 6
https://doi.org/10.5194/acp-21-4249-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-4249-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Mar 2021
Research article |
| 19 Mar 2021
| 19 Mar 2021
Atmospheric boundary layer height estimation from aerosol lidar: a new approach based on morphological image processing techniques
Gemine Vivone
Consiglio Nazionale delle Ricerche, Istituto di Metodologie per l'Analisi Ambientale (CNR-IMAA), Tito, Italy
Giuseppe D'Amico
Consiglio Nazionale delle Ricerche, Istituto di Metodologie per l'Analisi Ambientale (CNR-IMAA), Tito, Italy
Donato Summa
Consiglio Nazionale delle Ricerche, Istituto di Metodologie per l'Analisi Ambientale (CNR-IMAA), Tito, Italy
Engineering School, University of Basilicata, Potenza, Italy
Consiglio Nazionale delle Ricerche, Istituto di Metodologie per l'Analisi Ambientale (CNR-IMAA), Tito, Italy
Department of Physics, Kent State University (Florence Campus), 800 E Summit St, Kent, OH 44240, USA
Aldo Amodeo
Consiglio Nazionale delle Ricerche, Istituto di Metodologie per l'Analisi Ambientale (CNR-IMAA), Tito, Italy
Daniele Bortoli
ICT Institute of Earth Sciences and Dept. of Physics, School of Sciences and Technology and IIFA, Univ. of Évora, 7000-671 Évora, Portugal
EaRSLab Earth Remote Sensing Laboratory, Univ. of Évora, 7000-671 Évora, Portugal
Gelsomina Pappalardo
Consiglio Nazionale delle Ricerche, Istituto di Metodologie per l'Analisi Ambientale (CNR-IMAA), Tito, Italy
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- Boundary Layer Height Characteristics in Mexico City from Two Remote Sensing Techniques A. Burgos-Cuevas et al. 10.1007/s10546-022-00759-w
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Latest update: 26 Apr 2024
Short summary
We developed a methodology to retrieve the atmospheric boundary layer height from elastic and multi-wavelength lidar observations that uses a new approach based on morphological image processing techniques. The intercomparison with other state-of-the-art algorithms shows on average 30 % improved performance. The algorithm also shows excellent performance with respect to the running time, i.e., just few seconds to execute the whole signal processing chain over 72 h of continuous measurements.
We developed a methodology to retrieve the atmospheric boundary layer height from elastic and...
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