Quantifying the coastal urban surface layer structure using distributed temperature sensing in Helsinki, Finland

Karttunen, Sasu; O'Connor, Ewan; Peltola, Olli; Järvi, Leena

doi:https://doi.org/10.5194/amt-15-2417-2022

Articles | Volume 15, issue 8

https://doi.org/10.5194/amt-15-2417-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-15-2417-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 8

Research article

|

21 Apr 2022

Research article |

| 21 Apr 2022

Quantifying the coastal urban surface layer structure using distributed temperature sensing in Helsinki, Finland

Sasu Karttunen, Ewan O'Connor, Olli Peltola, and Leena Järvi

Data sets

Dataset containing DTS-data used in Karttunen et al. "Quantifying coastal urban surface layer structure using distributed temperature sensing in Helsinki, Finland" Olli Peltola https://doi.org/10.5281/zenodo.5796181

Supplementary data for analysing distributed temperature sensing (DTS) measurements from Helsinki, Finland Sasu Karttunen https://doi.org/10.5281/zenodo.5793838

Model code and software

Python scripts for analysing distributed temperature sensing (DTS) measurements from Helsinki, Finland Sasu Karttunen https://doi.org/10.5281/zenodo.5793334

Short summary

To study the complex structure of the lowest tens of metres of atmosphere in urban areas, measurement methods with great spatial and temporal coverage are needed. In our study, we analyse measurements with a promising and relatively new method, distributed temperature sensing, capable of providing detailed information on the near-surface atmosphere. We present multiple ways to utilise these kinds of measurements, as well as important considerations for planning new studies using the method.