Articles | Volume 18, issue 21
https://doi.org/10.5194/amt-18-6417-2025
https://doi.org/10.5194/amt-18-6417-2025
Research article
 | 
12 Nov 2025
Research article |  | 12 Nov 2025

Improving turbulent airflow direction measurements for fiber-optic distributed sensing using numerical simulations

Mohammad Abdoli, Reza Pirkhoshghiyafeh, and Christoph K. Thomas

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Cited articles

Abdoli, M.: Improving turbulent airflow direction measurements for fiber-optic distributed sensing using numerical simulations, Zenodo [data set], https://doi.org/10.5281/zenodo.17136833, 2025. a
Abdoli, M., Lapo, K., Schneider, J., Olesch, J., and Thomas, C. K.: Toward quantifying turbulent vertical airflow and sensible heat flux in tall forest canopies using fiber-optic distributed temperature sensing, Atmos. Meas. Tech., 16, 809–824, https://doi.org/10.5194/amt-16-809-2023, 2023. a, b
Bado, M. F.: Distributed Sensing for Serviceability Analysis of Reinforced Concrete Structures, Ph.D. Thesis, Vilnius Tech, Vilnius, Lithuania, https://etalpykla.vilniustech.lt/handle/123456789/107056 (last access: 10 November 2025), 2021. a
Bense, V. F., Read, T., and Verhoef, A.: Using distributed temperature sensing to monitor field scale dynamics of ground surface temperature and related substrate heat flux, Agricultural and Forest Meteorology, 220, 207–215, https://doi.org/10.1016/j.agrformet.2016.01.138, 2016. a
Chen, X., Zhou, X., Zhong, Z., Liang, N., Wang, Y., and Zhang, X.: Study on temperature field and influencing factors of the high geothermal tunnel with extra-long one-end construction ventilation, International Journal of Thermal Sciences, 191, 108322, https://doi.org/10.1016/j.ijthermalsci.2023.108322, 2023. a, b, c
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Short summary
We used computer simulations to improve how fiber-optic cables measure wind direction. These heated cables have small cones attached to sense how air moves around them. We found that hollow cone designs detect airflow more accurately than earlier versions. This helps us better understand air movement near the ground and could improve the physical foundations of weather and climate models.
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