Aerosol optical properties within the atmospheric boundary layer predicted from ground-based observations compared to Raman lidar retrievals during RITA-2021

Liu, Xinya; Alves Gouveia, Diego; Henzing, Bas; Apituley, Arnoud; Hensen, Arjan; van Dinther, Danielle; Huang, Rujin; Dusek, Ulrike

doi:https://doi.org/10.5194/acp-24-9597-2024

Articles | Volume 24, issue 16

https://doi.org/10.5194/acp-24-9597-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-24-9597-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 24, issue 16

Research article

|

30 Aug 2024

Research article |

| 30 Aug 2024

Aerosol optical properties within the atmospheric boundary layer predicted from ground-based observations compared to Raman lidar retrievals during RITA-2021

Xinya Liu, Diego Alves Gouveia, Bas Henzing, Arnoud Apituley, Arjan Hensen, Danielle van Dinther, Rujin Huang, and Ulrike Dusek

Supplement

https://doi.org/10.5194/acp-24-9597-2024-supplement

Data sets

Datasets for " Evaluation of the TOF-ACSM-CV for PM1.0 and PM2.5 measurements during the RITA-2021 field campaign" Xinya Liu et al. https://doi.org/10.5281/zenodo.7924288

Dataset 2 "Aerosol optical properties within the atmospheric boundary layer predicted from ground-based observations compared to Raman lidar retrievals during RITA-2021" Xinya Liu https://doi.org/10.5281/zenodo.11174465

Meteo profiles – validated and gapfilled tower profiles of wind, dew point, temperature and visibility at 10 minute interval at Cabauw, cesar_tower_meteo_lc1_t10 KNMI (Royal Netherlands Meteorological Institute) https://dataplatform.knmi.nl/dataset/cesar-tower-meteo-lc1-t10-v1-0

Clouds - calibrated attenuated backscatter profiles from CHM15k ceilometers in the KNMI observation network, 5 minute averaged data, ceilonet_chm15k_backsct_la1_t05 KNMI (Royal Netherlands Meteorological Institute) https://dataplatform.knmi.nl/dataset/ceilonet-chm15k-backsct-la1-t05-v1-0

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Short summary

The vertical distribution of aerosol optical properties is important for their effect on climate. This is usually measured by lidar, which has limitations, most notably the assumption of a lidar ratio. Our study shows that routine surface-level aerosol measurements are able to predict this lidar ratio reasonably well within the lower layers of the atmosphere and thus provide a relatively simple and cost-effective method to improve lidar measurements.