Aerosol fluxes represent the upward and downward net turbulent transport of aerosol particles exchanged within the atmospheric boundary layer (ABL) (Engelmann et al., 2008). This dataset contains a set of aerosol flux properties obtained from the Doppler lidar (DL) measurements. The datasets cover a period between 01/01/2022 and 31/12/2024 for different seasons in the urban environment of Warsaw, Poland (52◦12’N, 20◦58’E).
Instrumentation and Observations
The measurements were collected at the Warsaw ACTRIS National Facility run by the Institute of Geophysics at the Faculty of Physics of the University of Warsaw (IGFUW). Observations are done according to the routine Doppler lidar observation-schedule recommended by the Cloud Observation Network (CLOUDNET).
Streamline XR (Halo Photonics) Doppler lidar operated at the Remote-Sensing Laboratory (RS-Lab) of IGFUW is equipped with a solid-state pulsed laser emitting at 1.5 µm and a heterodyne detector with fiber-optic technology. It operates using a pulse energy of 100 µJ, pulse duration of 200 ns, and a pulse repetition rate of 10 kHz. The lidar signal was recorded continuously in vertical stare mode, providing products at 30 m spatial and 1 s temporal resolution. A more detailed description of the Doppler lidar system can be found in Pearson et al. (2009).
Data evaluation
The data evaluation has been done using the products obtained by two toolboxes:
-"HALO lidar toolbox", developed by Manninen (2019)
-"Remote Sensing Aerosol Flux Toolbox", developed by Ortiz-Amezcua (2023)
Data structure and variables
The dataset contains files in netcdf4 format for each season (MAM - March, April, May; JJA - June, July, August; SON - September, October, November; DJF - December, January, February) of observations conducted between 2022 and 2024 in Warsaw.
Each of the .nc file has a structure, which contains Variables:
- date, day vector (size: 1 x number of days, [days since 1970-01-01 00:00:00 UTC])
- t, time vector (size: 1 x time, [UTC])
- h, height vector (size: height x 1, [m])
- fm, 30-mn mean aerosol flux covariance product table (size: dates x time x height, [1/ (sr s)])
- sm, 30-mn mean signal-to-noise ratio (size: dates x time x height, [au])
- bm, 30-mn mean quasi-backscatter coefficient(size: dates x time x height, [1/(m sr)])
- wm, 30-mn mean vertical velocity (size: dates x time x height, [m/s])
REFERENCES:
Engelmann, R., Wandinger, U., Ansmann, A., Müller, D., Žeromskis, E., Althausen, D., & Wehner, B. (2008). Lidar observations of the vertical aerosol flux in the planetary boundary layer. Journal of Atmospheric and Oceanic Technology, 25, 1296–1306. https://doi.org/10.1175/2007JTECHA967.1
Pearson, G., Davies, F., & Collier, C. (2009). An Analysis of the Performance of the UFAM pulsed Doppler lidar for Observing Boundary Layer. Journal of Atmospheric and Oceanic Technology, 26, 240–250. https://doi.org/10.1175/2008JTECHA1128.1
Manninen, A. J.: HALO lidar toolbox, GitHub, available at: https://github.com/manninenaj/HALO_lidar_toolbox (last access: August 2024), 2019.
Ortiz-Amezcua, P.(2023). Remote Sensing Aerosol Flux Toolbox. Zenodo. https://doi.org/10.5281/zenodo.8394916
ATTENTION:
We offer a free access to this dataset. The user is however encouraged to share the information on the data use with the Remote Sensing Laboratory by sending an e-mail to rslab@fuw.edu.pl.
In the case this dataset is used for a scientific communication (publication, conference contribution, thesis) we would like to kindly ask for considering to acknowledge data provision by adding the following statement in Acknowledgments: "We acknowledge the data originators M. Karasewicz, Ł. Janicka, P. Ortiz-Amezcua, W. Kumala, and I.S. Stachlewska for the quality-assurance, evaluation, and provision of data sets of the Remote Sensing Laboratory at the Faculty of Physics of the University of Warsaw, Poland."
