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.
Install the package using pip:
pip install metobs-toolkit
To 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/MetObs_toolkit.git@v0.2.0
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 titanlib
To 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 |