Skip to main content

A Meteorological observations toolkit for scientists

Project description

MetObs-toolkit

PyPI version Documentation Status status Tests passing DOI

drawing

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.

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 Open In Colab
Quality control Introduction to quality control methods Open In Colab
Filling gaps Introduction to gap filling methods Open In Colab
Analysis Introduction analysis methods Open In Colab

Related

  • A graphical user interface for the MetObs-Toolkit: MetObs_GUI

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

metobs_toolkit-0.2.0.tar.gz (1.3 MB view details)

Uploaded Source

Built Distribution

metobs_toolkit-0.2.0-py3-none-any.whl (1.4 MB view details)

Uploaded Python 3

File details

Details for the file metobs_toolkit-0.2.0.tar.gz.

File metadata

  • Download URL: metobs_toolkit-0.2.0.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.2 CPython/3.10.0 Linux/5.15.0-97-generic

File hashes

Hashes for metobs_toolkit-0.2.0.tar.gz
Algorithm Hash digest
SHA256 78680132831702252fcc51ed5b746b101d89261e6310e0ce0a6f55648c71b310
MD5 07e7214ad541197904e18dfb80d967bd
BLAKE2b-256 f5802b153c930233d1d8de3343d1079e07d7a5b7da6a820b74d8d2a0abdd1f26

See more details on using hashes here.

File details

Details for the file metobs_toolkit-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: metobs_toolkit-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 1.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.2 CPython/3.10.0 Linux/5.15.0-97-generic

File hashes

Hashes for metobs_toolkit-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 328adae20767264fc0d836cccbf0679c522662fd5928179c49aa29643824bb21
MD5 442aaf86f4649a708142361882c92008
BLAKE2b-256 d7150153c9565701d154b86f2446a3a6f492c6c9e92e23db8b6447f3c84c56b7

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page