EGU26-18569, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-18569
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Wednesday, 06 May, 10:45–12:30 (CEST), Display time Wednesday, 06 May, 08:30–12:30
 
Hall X4, X4.129
Evaluating Turbulent Kinetic Energy Dissipation Parametrizations Using Doppler Lidars in the Convective Boundary Layer
Syed Saqlain Abbas, Andreas Behrendt, and Volker Wulfmeyer
Syed Saqlain Abbas et al.
  • University of Hohenheim, 70599 Stuttgart, Germany., Institute of Physics and Meteorology, Institute of Physics and Meteorology, Germany (syed_saqlain.abbas@uni-hohenheim.de)

In mesoscale models, turbulent kinetic energy (TKE) dissipation is commonly parameterized as a function of bulk TKE, implicitly assuming isotropic turbulence in the convective boundary layer (CBL). In this study, we use long-term Doppler lidar observations at the Land-Atmosphere Feedback Observatory (LAFO), University of Hohenheim, Stuttgart, Germany to evaluate this assumption. Two continuously operated Doppler lidars, one in vertical staring mode and one in six-beam scanning mode, provide high-resolution wind measurements within the CBL (Späth et al., 2023). We have analyzed the statistical relationships between vertical velocity variance <w’2>, TKE dissipation (Wulfmeyer et al., 2024), and TKE (Bonin et al., 2017) under daytime convective conditions (06:00–18:00 UTC). The results reveal a nonlinear relationship between <w’2> and TKE, with dissipation scaling to (<w’2>)3/2. The TKE-based dissipation parametrization from Mellor-Yamada-Nakanishi-Niino (MYNN) shows only lower agreement (R2 = 0.50) with lidar observation, whereas the <w’2>-based dissipation shows a significantly stronger agreement (R2 = 0.80). Despite this difference, the turbulent length scales derived from TKE and <w’2> exhibits similar characteristics. These findings highlight limitations of bulk-TKE-based parameterizations and demonstrate the value of Doppler-lidar-based diagnostics for improving the turbulence representation in mesoscale models.

References:

Bonin et al., 2017, https://doi.org/10.5194/amt-10-3021-2017

Späth et al, 2023, https://doi.org/10.5194/gi-12-25-2023

Wulfmeyer et al, 2024, https://doi.org/10.5194/amt-17-1175-2024

How to cite: Abbas, S. S., Behrendt, A., and Wulfmeyer, V.: Evaluating Turbulent Kinetic Energy Dissipation Parametrizations Using Doppler Lidars in the Convective Boundary Layer, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-18569, https://doi.org/10.5194/egusphere-egu26-18569, 2026.