This repository contains code written during my École polytechnique 3rd year resarch internship with specialization MAP594 - Modélisation probabiliste et statistique (probabilistic and statistical modelling). This internship took place under the supervision of Jo Eidsvik at the Center for Geophysical Forecasting (CGF) from the Norwegian University of Science and Technology (NTNU, Norges teknisk-naturvitenskapelige universitet).
Since the Distributed Acoustic Sensing (DAS) data I used is not open-access, this code is not enough to reproduce the results exposed in the report. However, it can help in understanding how I came to these results.
This project is licensed under X11 license. See the LICENSE file for details.
The Python environment I use is generated using mamba and mamba specification file in order to create an isolated python version, and dependencies are then installed with pip and a file listing dependencies.
The mambafreeze.txt and pipfreeze.txt might help in having a working environment.
Many files require data.paths. You can rename (and modify) this file in order to make them work properly.
- Weather station data is available on seklima.no
- Weather analysis data can be downloaded and processed with files in the weather_analysis folder
- OpenStreetMap data on the power line can be downloaded on overpass-turbo.eu with the query below and processed with this file
way
[name="Fygle - Solbjørn"]
({{bbox}});
(._;>;);
out;
The python scripts are meant to be run at the root of this directory. You may have to modify relative paths otherwise.