This repository contains the code developed during the PhD thesis of Alain Foehn at EPFL (2015-2019) at the Plateforme de Constructions Hydrauliques (Pl-LCH) and the Laboratory of Echohydrology (ECHO).
The thesis has been funded by the Centre de recherche sur l'environnement alpin (CREALP) in Sion as well as the Swiss Federal Office of Energy (SFOE).
| Commit | Author | Details | Committed | ||||
|---|---|---|---|---|---|---|---|
| db97b68e7e43 | alafoegit | CombiValais : Small correction in ReadMe | May 26 2020 | ||||
| 80f7e1bcd794 | alafoe | CombiValais ReadMe : small corrections | Apr 28 2020 | ||||
| 76051fdba035 | alafoe | CombiValais ReadMe : addition of local P and T data. | Apr 28 2020 | ||||
| bce15617834f | alafoe | Licende : File addition | Apr 28 2020 | ||||
| 5542329a92d5 | alafoe | Add file gitignore | Apr 28 2020 | ||||
| ea969212f4a5 | alafoe | ReadMe.md : improvements | Apr 28 2020 | ||||
| 34ea9774f706 | alafoe | ReadMe.md : small corrections. | Apr 28 2020 | ||||
| bdb402648f83 | alafoe | ReadMe.md : small corrections. | Apr 28 2020 | ||||
| 956e29fa5880 | alafoe | ReadMe SnowAnalyzer : Attempt to improve | Apr 28 2020 | ||||
| 1be706a105dc | alafoe | ReadMe SnowAnalyzer : Attempt to improve | Apr 28 2020 | ||||
| 2ce547eb0123 | alafoe | SnowAnalyzer : ReadMe.md addition | Apr 28 2020 | ||||
| ad65fd57a826 | alafoe | ReadMe RasterGapAnalyzer : Attempt to improve | Apr 28 2020 | ||||
| df6d4b8aaf20 | alafoe | ReadMe RasterGapAnalyzer : Attempt to improve | Apr 28 2020 | ||||
| 425bdfdf9410 | alafoe | RasterGapAnalyzer : ReadMe.md addition | Apr 28 2020 | ||||
| 1a3e3c174c3e | alafoe | ReadMe CombiValais : Attempt to improve | Apr 28 2020 |
This repository contains the code developed during the PhD thesis of Alain Foehn at EPFL (2015-2019) at the Plateforme de Constructions Hydrauliques (Pl-LCH) and the Laboratory of Echohydrology (ECHO).
The thesis has been funded by the Centre de recherche sur l'environnement alpin (CREALP) in Sion as well as the Swiss Federal Office of Energy (SFOE).
Author: Alain Foehn (alain.foehn@alumni.epfl.ch)
The code contains several tools. The data acquisition is highly based on interaction with an API (see remark about this below). The major tools are shortly presented hereafter.
The Combivalais tool allows spatial interpolation of precipitation using many ground-based rain gauge networks in combination with weather radar data. Several interpolation methods are implemented, including regression kriging (RK) and regression co-kriging (RCK). For further information, please read Foehn et al. 2018.
This tools uses satellite-based (MODIS) snow data to calibrate a snow model (using the software RS MINERVE). The results of the model are then compared to ground-based SWE measurements. Thereby, the undercatch effect of rain gauge measurements is investigated using different Quantitative Precipitation Estimates (QPE), from which some include undercatch effect correction.
This tool uses the same approach than the SWEAnalyzer for calibrating snow pixels based on modis, but applying the approach at the scale of a catchment.
This tool allows to evaluate a product in the database for a given period and returns all the timestamps without data. Useful to check the data in the database.
Code not shared yet. This part needs further cleaning and documentation before making it public. Sorry.
The code is shared under MIT licence (see file LICENCE.txt). As stated in the licence, "the software is provided "as is", without warranty of any kind".
The code is highly based on interactions with an API for data acquisition. However, the API and the database used for the project are not part of the project and are not accessible for unauthorized users. An effort has been done to provide information about the required data structure to help future users to use the code in an autonomous way (see ReadMe.md of each tool).
For more information :
Contact : alain.foehn@alumni.epfl.ch
I would highly appreciate if people using the code would inform me on how they use the code. In addition, remarks as well as suggestions of improvements and/or corrections are welcome ! Thanks in advance !
File last updated on 28.04.2020