The MetObs-toolkit provides a comprehensive framework for scientists to process raw meteorological data for analysis.
This repo contains all the software for the metobs_toolkit.
Documentation can be found here.
The Documentation contains examples, explanations, and the API documentation of the toolkit. Make sure that the documentation version matches your version of the toolkit.
Install the package using pip:
pip install metobs-toolkitTo install the PyPi version of the toolkit. To install the github versions one can use these commands:
#main versions
pip install git+https://github.com/vergauwenthomas/MetObs_toolkit.git
#development version
pip install git+https://github.com/vergauwenthomas/MetObs_toolkit.git@dev
#specific release from github
pip install git+https://github.com/vergauwenthomas/[email protected]For some advanced quality control methods, the Titanlib package is used. Since the installation of titanlib requires a c++ compiler, we have chosen not to include it in the toolkit. If you want to use the Titanlib functionality you must install both the toolkit and Titanlib:
pip install metobs-toolkit titanlibTo use the package, import it in Python:
import metobs_toolkit
#Check your version
metobs_toolkit.__version__In the context of a FAIRNESS (COST action) summer school, a set of well-documented exercises and demos are made.
| Notebook | Description | |
|---|---|---|
| Introduction | Introduction to the toolkit |  |
| Quality control | Introduction to quality control methods | |
| Filling gaps | Introduction to gap filling methods | |
| Analysis | Introduction analysis methods | |
*NOTE: * these exercises are built on an early version of the toolkit! We recommend using the examples in the documentation.
- A graphical user interface for the MetObs-Toolkit: MetObs_GUI
- A JOSS (Journal of Open Source Software) publication on the MetObs-Toolkit