Preprints
https://doi.org/10.5194/egusphere-2025-4227
https://doi.org/10.5194/egusphere-2025-4227
15 Oct 2025
 | 15 Oct 2025
Status: this preprint is open for discussion and under review for The Cryosphere (TC).

Evaluation of Turbulent Flux Parameterizations over a Continental Glacier on the Tibetan Plateau

Yichan Xu, Meilin Zhu, Jing Gao, Daijiao Lin, Lei Hui, Fei Zhu, Huabiao Zhao, and Fengying Zhang

Abstract. A lack of observations of turbulent fluxes over continental glaciers limits our understanding of the mechanisms that control glacier variations and associated water resource changes across the Tibetan Plateau (TP). Here, we present the first comprehensive analysis of turbulent flux characteristics and a systematic evaluation of turbulent flux methods for a continental glacier on the TP, using eddy covariance observations from the Dunde Glacier (May–October, 2023). The Dunde Glacier persistently lost energy through latent heat flux (mean LE: −10.34 W m⁻²) and gained energy via sensible heat flux (mean H: 6.93 W m⁻²), with pronounced seasonal and diurnal variability. On the basis of these measured data, we tested five turbulent flux methods for the Dunde Glacier, including those derived from katabatic flow models, simplified Monin–Obukhov similarity theory without stability corrections, Monin–Obukhov similarity theory with stability corrections using two different bulk Richardson numbers, and the Monin–Obukhov similarity theory with universal stability functions. Among all schemes, the Monin–Obukhov similarity theory with universal stability functions achieved the highest accuracy for both H and LE at different timescales. We further evaluated the performance of these parameterizations in energy and mass balance modeling. Our results show that the recalibrated turbulent flux parameterizations are an effective approach for improving the accuracy of modelled glacier energy and mass balance, and that the Monin–Obukhov similarity theory with universal stability functions yielded the best simulation performance for modelled glacier mass balance. We also found that the Dunde Glacier experienced a sharp increase in H and reversal in LE during a humid heatwave event, shifting from a negative total turbulent flux under the mean climate condition to positive values during the extreme event. However, none of the turbulent flux methods fully captured the high values that occurred during the extreme weather and climate event, indicating that there is currently an underestimation of the contribution of turbulent fluxes to glacier melt energy. These findings advance our knowledge of turbulent fluxes for continental glaciers on the TP and provide important guidance for the improvement of glacier models.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
Share
Yichan Xu, Meilin Zhu, Jing Gao, Daijiao Lin, Lei Hui, Fei Zhu, Huabiao Zhao, and Fengying Zhang

Status: open (until 26 Nov 2025)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Yichan Xu, Meilin Zhu, Jing Gao, Daijiao Lin, Lei Hui, Fei Zhu, Huabiao Zhao, and Fengying Zhang
Yichan Xu, Meilin Zhu, Jing Gao, Daijiao Lin, Lei Hui, Fei Zhu, Huabiao Zhao, and Fengying Zhang
Metrics will be available soon.
Latest update: 15 Oct 2025
Download
Short summary
Glaciers on the Tibetan Plateau are losing mass, yet their turbulent heat exchange with the atmosphere remains uncertain. Using direct observations from the Dunde Glacier (May–October 2023), we analyzed turbulent flux variations at the glacier surface and evaluated five turbulent flux methods. We also showed that during a humid heatwave, turbulent heat input rose sharply and accelerated melt, highlighting the need to improve models under extreme conditions.
Share