Recommandation on good practices for the preprocessing, quality control of solar radiation measurements and example of validation tools
Philippe Blanc, Alexandre Boilley, Benoit Gschwind, Adam R. Jensen, Lionel Ménard, Yves-Marie Saint-Drenan
This notebook presents the motivation behind writing the notebook. Installation of libraries used throughout this notebook.
Chapter 1: Description of the netcdf dataformat used for the solar radiation measurements
In this chapter we provide a description of the structure of the netcdf used to store solar data. The data are uploaded in this format on a Thredds Data SErver (TDS), whose functionalities are exploited in the later part of this notebook.
*Further work on the data format are needed to include detailed metada*
Chapter 2: Accessing solar measurements
How to access to solar measurements using a Thredds Data Server.
* we need a solution to handle the usr/pwd or change the dataset into an open source one *
Demonstrates example of good practices for preparing the data and conducting the most important QC procedures.
Chapter 4: Validation of a single satellite product at a single station
Example of validation routine for the CAMS Rad data.
* we should find an alternative to using Alexander's mail to access CAMSRAD *
You have several options to explore those notebooks :
You can launch the Notebooks via mybinder. You will have access to a live version of the notebooks, being able to interact with them.
Click on this button :
NbViewer provides a static rendering of the notebook. You will be able to see the code and results, by not to interact with them :
https://nbviewer.org/github/oie-mines-paristech/IEA_PVPS_T16_QC_pynb/tree/master/
Alternatively, you can install and play those notebooks locally.
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Clone this repository :
git clone https://github.com/oie-mines-paristech/IEA_PVPS_T16_QC_pynb.git
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Create and activate a virtual env
virtualenv .venv source .venv/bin/activate.bash
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Install dependencies
pip install -r requirements.txt
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Launch Jupyter
jupter notebook