MetObs-toolkit 0.3.0

A Meteorological observations toolkit for scientists

MetObs-toolkit

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

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.

Installing the package

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__

Exercises and demos

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.

Related

• A graphical user interface for the MetObs-Toolkit: MetObs_GUI
• A JOSS (Journal of Open Source Software) publication on the MetObs-Toolkit