https://github.com/oie-mines-paristech/iea_pvps_t16_qc_pynb

https://github.com/oie-mines-paristech/iea_pvps_t16_qc_pynb

Last synced: about 1 month ago
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• Host: GitHub
• URL: https://github.com/oie-mines-paristech/iea_pvps_t16_qc_pynb
• Owner: oie-mines-paristech
• Created: 2020-04-06T14:51:56.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2022-05-09T13:59:32.000Z (over 2 years ago)
• Last Synced: 2024-06-11T17:39:00.555Z (6 months ago)
• Language: Jupyter Notebook
• Size: 18.8 MB
• Stars: 5
• Watchers: 2
• Forks: 4
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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README

        
# 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  

## Table of Contents

[**Preface**](00_Preface.ipynb)

 

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**](01_netcdf_format.ipynb)

     

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**](02_get_netcdf.ipynb)

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 *

[**Chapter 3: Quality control**](03_SolarDataQC.ipynb)

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**](04_ValidationCAMSRad.ipynb)

Example of validation routine for the CAMS Rad data.

     

     * we should find an alternative to using Alexander's mail to access CAMSRAD *

---

# Installation & Usage

You have several options to explore those notebooks :

## Binder

You can launch the Notebooks via [mybinder](https://mybinder.org/). You will have access to a live version of the notebooks, being able to interact with them.

Click on this button :

[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/oie-mines-paristech/IEA_PVPS_T16_QC_pynb/HEAD)

## NbViewer

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/](https://nbviewer.org/github/oie-mines-paristech/IEA_PVPS_T16_QC_pynb/tree/master/)

## Local installation

Alternatively, you can install and play those notebooks locally.

1) Clone this repository :

   > git clone https://github.com/oie-mines-paristech/IEA_PVPS_T16_QC_pynb.git

2) Create and activate a virtual env 

    > virtualenv .venv

    > source .venv/bin/activate.bash

3) Install dependencies

   > pip install -r requirements.txt

4) Launch Jupyter

    > jupter notebook