A new filtering approach for multiple Doppler Lidar setups
- 1Karlsruhe Institute of Technology, IMK-IFU, Germany (kevin.wolz@kit.edu)
- 2Lindenberg Meteorological Observatory, German Meteorological Service (DWD), Tauche, 15848, Germany
- 3Institute of Hydrology and Meteorology, Technical University of Dresden, Dresden, 01069, Germany
We compare the wind measurements of a virtual tower triple Doppler Lidar setup to those of a sonic anemometer located at a height of 90 m above ground on an instrumented tower and with those of a single Doppler Lidar. The instruments were set up at the boundary-layer field site of the German Meteorological Service (DWD) in July and August of 2020 during the FESST@MOL (Field Experiment on sub-mesoscale spatio-temporal variability at the Meteorological Observatory Lindenberg) 2020 campaign. The triple Lidar setup was operated in a stare and in a step/stare mode at six heights between 90 and 500 m above ground, while the single Lidar was operated in a continuous scan Velocity-Azimuth-Display (VAD) mode with an azimuthal resolution of around 1.5 ° and a zenith angle of 55.5 °. Overall, both Lidar methods showed a good agreement for the whole study period for different averaging times and scan modes compared to the sonic anemometer. Additionally, we developed and show a new filtering approach based on a Median Absolute Deviation (MAD) filter for the virtual tower setup and compare it to a filtering approach based on a signal-to-noise ratio SNR threshold. The advantage of the MAD filter is that it is not based on a strict threshold but on the MAD of each 30-second period and can, therefore, better adapt to changing atmospheric conditions. In the comparison the MAD filter leads to a greater data availability while upholding similar comparability and bias values between the triple Lidar and sonic anemometer setups. Our results also show that a single Doppler Lidar is a viable method for measuring wind speed and direction with only small disadvantages, at least for measurement heights similar to our investigation and for comparable heterogeneous but flat landscapes.
How to cite: Wolz, K., Holst, C., Beyrich, F., and Mauder, M.: A new filtering approach for multiple Doppler Lidar setups, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-15696, https://doi.org/10.5194/egusphere-egu23-15696, 2023.