Articles | Volume 16, issue 9
https://doi.org/10.5194/amt-16-2353-2023
© Author(s) 2023. 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-16-2353-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 May 2023
Research article |
| 09 May 2023
| 09 May 2023
DeLiAn – a growing collection of depolarization ratio, lidar ratio and Ångström exponent for different aerosol types and mixtures from ground-based lidar observations
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
Holger Baars
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
Ronny Engelmann
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
Dietrich Althausen
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
Albert Ansmann
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
Stephanie Bohlmann
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
now at: Finnish Meteorological Institute, Helsinki, Finland
Birgit Heese
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
Julian Hofer
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
Thomas Kanitz
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
now at: European Space Agency (ESA – ESTEC), Noordwijk, the Netherlands
Moritz Haarig
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
Kevin Ohneiser
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
Martin Radenz
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
Patric Seifert
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
Annett Skupin
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
Zhenping Yin
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China
Sabur F. Abdullaev
Physical Technical Institute of the National Academy of Sciences of Tajikistan, Dushanbe, Tajikistan
Mika Komppula
Finnish Meteorological Institute, Kuopio, Finland
Maria Filioglou
Finnish Meteorological Institute, Kuopio, Finland
Elina Giannakaki
Finnish Meteorological Institute, Kuopio, Finland
Department of Environmental Physics and Meteorology, University of Athens, Athens, Greece
Iwona S. Stachlewska
Faculty of Physics, University of Warsaw, Warsaw, Poland
Lucja Janicka
Faculty of Physics, University of Warsaw, Warsaw, Poland
SRI Center for Physical Sciences and Technology (FTMC), Vilnius, Lithuania
Daniele Bortoli
Earth Remote Sensing Laboratory (EaRSLab), Institute of Earth Sciences and Physics Department, Universidade de Évora, Évora, Portugal
Eleni Marinou
IAASARS, National Observatory of Athens, Athens, Greece
Vassilis Amiridis
IAASARS, National Observatory of Athens, Athens, Greece
Anna Gialitaki
IAASARS, National Observatory of Athens, Athens, Greece
Laboratory of Atmospheric Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece
now at: Earth Observation Science Group, School of Physics and Astronomy, University of Leicester, Leicester, UK
Rodanthi-Elisavet Mamouri
ERATOSTHENES Centre of Excellence, Limassol, Cyprus
Department of Civil Engineering and Geomatics, Cyprus University of Technology, Limassol, Cyprus
Boris Barja
Atmospheric Research Laboratory, University of Magallanes, Punta Arenas, Chile
Ulla Wandinger
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
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Cited
13 citations as recorded by crossref.
- HETEAC – the Hybrid End-To-End Aerosol Classification model for EarthCARE U. Wandinger et al. 10.5194/amt-16-2485-2023
- 1064 nm rotational Raman polarization lidar for profiling aerosol and cloud characteristics L. Wang et al. 10.1364/OE.518259
- Improved algorithm for retrieving aerosol optical properties based on multi-wavelength Raman lidar S. Mao et al. 10.1364/OE.498749
- Lidar depolarization characterization using a reference system A. Papetta et al. 10.5194/amt-17-1721-2024
- Combined sun-photometer–lidar inversion: lessons learned during the EARLINET/ACTRIS COVID-19 campaign A. Tsekeri et al. 10.5194/amt-16-6025-2023
- HETEAC-Flex: an optimal estimation method for aerosol typing based on lidar-derived intensive optical properties A. Floutsi et al. 10.5194/amt-17-693-2024
- Synergic use of in-situ and remote sensing techniques for comprehensive characterization of aerosol optical and microphysical properties L. Davulienė et al. 10.1016/j.scitotenv.2023.167585
- Cloud top heights and aerosol columnar properties from combined EarthCARE lidar and imager observations: the AM-CTH and AM-ACD products M. Haarig et al. 10.5194/amt-16-5953-2023
- Aerosol Optical Properties Retrieved by Polarization Raman Lidar: Methodology and Strategy of a Quality-Assurance Tool S. Mao et al. 10.3390/rs16010207
- Long term observations of biomass burning aerosol over Warsaw by means of multiwavelength lidar L. Janicka et al. 10.1364/OE.496794
- Effect of wind speed on marine aerosol optical properties over remote oceans with use of spaceborne lidar observations K. Sun et al. 10.5194/acp-24-4389-2024
- DeLiAn – a growing collection of depolarization ratio, lidar ratio and Ångström exponent for different aerosol types and mixtures from ground-based lidar observations A. Floutsi et al. 10.5194/amt-16-2353-2023
- HETEAC – the Hybrid End-To-End Aerosol Classification model for EarthCARE U. Wandinger et al. 10.5194/amt-16-2485-2023
11 citations as recorded by crossref.
- HETEAC – the Hybrid End-To-End Aerosol Classification model for EarthCARE U. Wandinger et al. 10.5194/amt-16-2485-2023
- 1064 nm rotational Raman polarization lidar for profiling aerosol and cloud characteristics L. Wang et al. 10.1364/OE.518259
- Improved algorithm for retrieving aerosol optical properties based on multi-wavelength Raman lidar S. Mao et al. 10.1364/OE.498749
- Lidar depolarization characterization using a reference system A. Papetta et al. 10.5194/amt-17-1721-2024
- Combined sun-photometer–lidar inversion: lessons learned during the EARLINET/ACTRIS COVID-19 campaign A. Tsekeri et al. 10.5194/amt-16-6025-2023
- HETEAC-Flex: an optimal estimation method for aerosol typing based on lidar-derived intensive optical properties A. Floutsi et al. 10.5194/amt-17-693-2024
- Synergic use of in-situ and remote sensing techniques for comprehensive characterization of aerosol optical and microphysical properties L. Davulienė et al. 10.1016/j.scitotenv.2023.167585
- Cloud top heights and aerosol columnar properties from combined EarthCARE lidar and imager observations: the AM-CTH and AM-ACD products M. Haarig et al. 10.5194/amt-16-5953-2023
- Aerosol Optical Properties Retrieved by Polarization Raman Lidar: Methodology and Strategy of a Quality-Assurance Tool S. Mao et al. 10.3390/rs16010207
- Long term observations of biomass burning aerosol over Warsaw by means of multiwavelength lidar L. Janicka et al. 10.1364/OE.496794
- Effect of wind speed on marine aerosol optical properties over remote oceans with use of spaceborne lidar observations K. Sun et al. 10.5194/acp-24-4389-2024
2 citations as recorded by crossref.
- DeLiAn – a growing collection of depolarization ratio, lidar ratio and Ångström exponent for different aerosol types and mixtures from ground-based lidar observations A. Floutsi et al. 10.5194/amt-16-2353-2023
- HETEAC – the Hybrid End-To-End Aerosol Classification model for EarthCARE U. Wandinger et al. 10.5194/amt-16-2485-2023
Latest update: 25 Apr 2024
Short summary
DeLiAn is a collection of lidar-derived aerosol intensive optical properties for several aerosol types, namely the particle linear depolarization ratio, the extinction-to-backscatter ratio (lidar ratio) and the Ångström exponent. The data collection is based on globally distributed, long-term, ground-based, multiwavelength, Raman and polarization lidar measurements and currently covers two wavelengths, 355 and 532 nm, for 13 aerosol categories ranging from basic aerosol types to mixtures.
DeLiAn is a collection of lidar-derived aerosol intensive optical properties for several aerosol...
