Published March 20, 2023 | Version 1.0
Dataset Open

DeLiAn – a growing collection of depolarization ratio, lidar ratio and Ångström exponent for different aerosol types and mixtures from ground-based lidar observations

Creators

  • 1. Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
  • 2. Finnish Meteorological Institute, Helsinki, Finland
  • 3. European Space Agency, ESTEC, Noordwijk, the Netherlands
  • 4. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, China
  • 5. Physical Technical Institute of the National Academy of Sciences of Tajikistan, Dushanbe, Tajikistan
  • 6. Finnish Meteorological Institute, Kuopio, Finland
  • 7. Finnish Meteorological Institute, Kuopio, Finland / Department of Environmental Physics and Meteorology, University of Athens, Athens, Greece
  • 8. Faculty of Physics, University of Warsaw, Warsaw, Poland
  • 9. Earth Remote Sensing Laboratory (EaRSLab), Institute of Earth Sciences and Physics Department, Universidade de Évora, Évora, Portugal
  • 10. IAASARS, National Observatory of Athens, Athens, Greece
  • 11. IAASARS, National Observatory of Athens, Athens, / Greece Laboratory of Atmospheric Physics, Physics Department, Aristotle University of Thessaloniki, Thessaloniki, Greece / School of Physics and Astronomy, Earth Observation Science Group, University of Leicester, Leicester, UK
  • 12. ERATOSTHENES Centre of Excellence, Limassol, Cyprus / Cyprus University of Technology, Department of Civil Engineering and Geomatics, Cyprus
  • 13. Atmospheric Research Laboratory, University of Magallanes, Punta Arenas, Chile

Description

DeLiAn is a collection of lidar-derived aerosol intensive optical properties for several aerosol types. The intensive parameters are 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 polarisation lidar measurements.

DeLiAn is available in two data formats: NetCDF and excel workbook. The intensive optical properties are presented at the typical lidar wavelengths, 355, 532 and 1064 nm, for 13 aerosol categories in total. The variables included in the datafiles are listed below. For each variable, a full description is provided in the long_name attribute (applicable for the netCDF file only). The same information is provided in the first excel sheet (“List of variables”).

  •  ScienceData
    • angstrom_exponent_backscatter_355_532
    • angstrom_exponent_backscatter_532_1064
    • angstrom_exponent_extinction_355_532
    • campaign_rv
    • date
    • error_angstrom_exponent_backscatter_355_532
    • error_angstrom_exponent_backscatter_532_1064
    • error_angstrom_exponent_extinction_355_532
    • error_lidar_ratio_355
    • error_lidar_ratio_532
    • error_particle_linear_depolarization_ratio_355
    • error_particle_linear_depolarization_ratio_532
    • lidar_ratio_355
    • lidar_ratio_532
    • location
    • measurement_type
    • number_samples
    • particle_linear_depolarization_ratio_355
    • particle_linear_depolarization_ratio_532
    • reference
    • system

For any further information or expression of interest with respect to DeLiAn, please contact Athena Augusta Floutsi (floutsi@tropos.de) and/or Holger Baars (baars@tropos.de).

Notes

The authors acknowledge support through the following projects and research programs: – ACTRIS under grant agreement no. 262 254 of the European Union Seventh Framework Programme (FP7/2007–2013) – ACTRIS-2 under grant agreement no. 654109 from the European Union's Horizon 2020 research and innovation programme – EUCAARI funded by the European Union Sixth Framework Programme (FP6) under grant no. 036 833-2 – CADEX funded by the German Federal Ministry of Education and Research (BMBF) under the grant no. 01DK14014 – the Gottfried Willhelm Leibniz Association (OCEANET project in the framework of PAKT) – BEYOND (funded under: FP7-REGPOT-2012-2013-1) under grant agreement no. 316210 – "Megacities-Megachallenge – Informal Dynamics of Global Change" (SPP 1233) funded by the German Research Foundation (DFG) – Foundation of Science and Technology of Poland (FNiTP) Grant no. 519/FNITP/115/2010 – National Science Centre of Poland (NCN, DAINA-2) Grant no. 2020/38/L/ST10/00480 – Polarstern expeditions ANT-XXVI/1, ANT-XXVI/4, ANT-XXVII/1, AWI_PS75_00, AWI_PS77_00, AWI_PS81_00, AWI_PS83_00, AWI_PS95_00, AWI_PS98_00, AWI_PS122_00 and MOSAiC20192020 – SAMUM funded by the Deutsche Forschungsgemeinschaft (DFG) under grant number FOR 539 – BACCHUS funded by the European Union's 7th Framework Programme (FP7/2007-2013) under grant agreement no. 603445 – A–LIFE funded by the European Research Council (grant no. 640458) – EVAA funded by the German Federal Ministry for Economic Affairs and Energy (BMWi) under grant no. 50EE1721C – European Research Council (ERC) under the European Community's Horizon 2020 research and innovation framework programme — ERC grant agreement no. 725698 (D-TECT) – PANhellenic Geophysical Observatory of Antikythera (PANGEA) of the National Observatory of Athens, Greece – "EXCELSIOR": ERATOSTHENES: EXcellence Research Centre for Earth Surveillance and Space-Based Monitoring of the Environment H2020 Widespread Teaming project (www.excelsior2020.eu), funded from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No. 857510, from the Government of the Republic of Cyprus through the Directorate General for the European Programmes, Coordination and Development and the Cyprus University of Technology – PoLiCyTa project: PollyXT-CYP funded by the German Federal Ministry of Education and Research (BMBF) – The National Fund for Scientific and Technological Development of Chile, FONDECYT, through grant agreement No. 11181335 – The Portuguese national funds through FCT–Fundação para a Ciência e Tecnologia, I.P., in the framework of the ICT project with the references UIDB/04683/2020 and UIDP/04683/2020.

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Additional details

References

  • https://doi.org/10.5194/amt-2022-306