Python scripts for analysing distributed temperature sensing (DTS) measurements from Helsinki, Finland
Authors/Creators
- 1. nstitute for Atmospheric and Earth System Research / Physics
Description
Python script used in the analysis of distributed temperature sensing (DTS) measurements from Helsinki, Finland, as described in a journal article manuscript "Quantifying coastal urban surface layer structure using distributed temperature sensing in Helsinki, Finland". The purpose of these scripts is to reproduce the results and figures presented in the manuscript.
Scripts are named after the figures they correspond to in the manuscript. Additionally, some shared functionality is located in utility scripts. Some annotations are provided within the code. However, these scripts are tailored for the dataset and manuscript, and are therefore not suitable for general analysis as such. Data paths have to changed to point to locations of the DTS and supplementary data supplied with the manuscript in order to reproduce the results.
Required Python packages:
- numpy
- pandas
- scipy
- xarray
- matplotlib
- pycwt (for wavelet transforms)
- cartopy (for surface analysis maps)
- metpy (for surface analysis maps)
- fmiopendata (for surface analysis maps)
Tested with Python == 3.8
Files
README.md
Files
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Additional details
Related works
- Is supplemented by
- Dataset: 10.5281/zenodo.5793838 (DOI)
Funding
- Research Council of Finland
- Novel perspectives on gas transfer in the nocturnal stable boundary layer implications on ecosystem carbon balance estimation on multiple time scales 315424
- Research Council of Finland
- Atmosphere and Climate Competence Center (ACCC) / Consortium: ACCC 337549
- Research Council of Finland
- Urban green space solutions in carbon neutral cities (CarboCity) / Consortium: CarboCity 321527
- Research Council of Finland
- Atmosphere and Climate Competence Center (ACCC) / Consortium: ACCC 337552