Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 15, issue 18
Articles | Volume 15, issue 18
https://doi.org/10.5194/amt-15-5527-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-5527-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 18
Research article
 | 
29 Sep 2022
Research article |  | 29 Sep 2022

Atmospheric visibility inferred from continuous-wave Doppler wind lidar

Manuel Queißer, Michael Harris, and Steven Knoop

Supplement

https://doi.org/10.5194/amt-15-5527-2022-supplement

Data sets

Atmospheric visibility inferred from continuous-wave Doppler wind lidar, data set Manuel Queisser, Michael Harris, and Seven Knoop https://doi.org/10.5281/zenodo.6325902

Meteo profiles - validated tower profiles of wind, dew point, temperature and visibility at 10 minute interval at Cabauw KNMI https://dataplatform.knmi.nl/dataset/cesar-tower-meteo-lb1-t10-v1-2

Meteo surface - validated observations of common atmospheric variables at 10 minute interval at Cabauw KNMI https://dataplatform.knmi.nl/dataset/cesar-surface-meteo-lb1-t10-v1-0

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Short summary
Visibility is how well we can see something. Visibility sensors, such as employed in meteorological observatories and airports, measure at a point at the instrument location, which may not be representative of visibilities further away, e.g. near the sea surface during sea spray. Light detecting and ranging (lidar) can measure visibility further away. We find wind lidar to be a viable tool to measure visibility with low accuracy, which could suffice for safety-uncritical applications.
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