Improving the estimate of higher-order moments from lidar observations near the top of the convective boundary layer

Rosenberger, Tessa E.; Turner, David D.; Heus, Thijs; Raghunathan, Girish N.; Wagner, Timothy J.; Simonson, Julia

doi:https://doi.org/10.5194/amt-17-6595-2024

Articles | Volume 17, issue 22

https://doi.org/10.5194/amt-17-6595-2024

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

https://doi.org/10.5194/amt-17-6595-2024

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

Articles | Volume 17, issue 22

Research article

|

18 Nov 2024

Research article |

| 18 Nov 2024

Improving the estimate of higher-order moments from lidar observations near the top of the convective boundary layer

Tessa E. Rosenberger, David D. Turner, Thijs Heus, Girish N. Raghunathan, Timothy J. Wagner, and Julia Simonson

Data sets

MicroHH LES output for 08 August 2017 over the Southern Great Plains Tessa Rosenberger et al. https://doi.org/10.5281/zenodo.13367650

Model code and software

MicroHH 1.0: a computational fluid dynamics code for direct nu- merical simulation and large-eddy simulation of atmospheric boundary layer flows Chiel C. van Heerwaarden et al. https://doi.org/10.5194/gmd-10-3145-2017

Interactive computing environment

LES Lidar Methods for Deriving Higher Order Moments Tessa Rosenbergerr and Thijs Heus https://doi.org/10.5281/zenodo.13367483

Short summary

This work used model output to show that considering the changes in boundary layer depth over time in the calculations of variables such as fluxes and variance yields more accurate results than cases where calculations were done at a constant height. This work was done to improve future observations of these variables at the top of the boundary layer.