Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 18, issue 19
Articles | Volume 18, issue 19
https://doi.org/10.5194/amt-18-5129-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-18-5129-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 19
Research article
 | 
07 Oct 2025
Research article |  | 07 Oct 2025

A large-eddy simulation exploration of the assumptions used in retrieving entrainment from a mixing diagram approach with ground-based remote sensors

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

Data sets

LES exploration of the assumptions used in retrieving entrainment from a mixing diagram data Rosenberger et al. https://doi.org/10.5281/zenodo.16989471

Model code and software

MicroHH 1.0: a computational fluid dynamics code for direct numerical simulation and large-eddy simulation of atmospheric boundary layer flows van Heerwaarden et al. https://doi.org/10.5194/gmd-103145-2017

LES exploration of the assumptions used in retrieving entrainment from a mixing diagram Rosenberger and Heus https://doi.org/10.5281/zenodo.16989246

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Short summary
Entrainment is key in understanding temperature and moisture changes within the boundary layer, but it is difficult to observe using ground-based observations. This work used simulations to verify an assumption that simplifies entrainment estimations from ground-based observational data, recognizing that entrainment is the combination of the transfer of heat and moisture from above the boundary layer into it and the change in concentration of heat and moisture as boundary layer depth changes.
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