Preprints
https://doi.org/10.5194/amt-2023-31
https://doi.org/10.5194/amt-2023-31
20 Feb 2023
 | 20 Feb 2023
Status: this preprint is currently under review for the journal AMT.

Observing atmospheric convection with dual-scanning lidars

Christiane Duscha, Juraj Pálenik, Thomas Spengler, and Joachim Reuder

Abstract. While convection is a key process in the development of the atmospheric boundary layer, conventional meteorological measurement approaches fall short in capturing the evolution of the complex dynamics of convection. To obtain deeper observational insight into convection, we assess the potential of a novel dual-lidar approach. We present the capability of two pre-processing procedures, an advanced clustering filter instead of a simple threshold filter, as well as a temporal interpolation, to increase data availability and reduce errors in the individual lidar observations that would amplify in the dual-lidar retrieval. To evaluate the optimal balance between spatial and temporal resolution to sufficiently resolve convective properties, we test a set of scan configurations. We tested the dual-lidar setup at two Norwegian airfields in a different geographic setting. We present a retrieval of the convective flow field in a vertical plane above the airfield for each of these setups. Both pre-processing procedures show an improving effect on the data availability and quality and are applied to the observations used in the dual-lidar retrieval. All tested angular resolutions captured the relevant spatial features of the convective flow field and balance between resolutions can be shifted towards a higher temporal resolution. Based on the evaluated cases, we show that the dual-lidar approach sufficiently resolves and provides valuable insight into the dynamic properties of atmospheric convection.

Christiane Duscha et al.

Status: open (until 18 Apr 2023)

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Christiane Duscha et al.

Christiane Duscha et al.

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Short summary
We combine observations of two scanning Doppler lidars to obtain new and unique insights into the dynamic processes inherent to atmospheric convection. The approach complements and enhances conventional methods to probe convection and has the potential to substantially deepen our understanding of this complex process, which is crucial to improve our weather and climate models.