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This page contains guides, libraries and examples of DMI's open data usage, which might be helpful in your own application.

TitleLink or fileTagsPrerequisitesDescriptionAuthor
Getting started with DMI API for data analysis in Python

DMI Api Tutorial v4.html

#Python

#JupyterNotebook


Install:

  • Python
  • Jupyter Notebook.

User creation: Follow the guides for User Creation & Access Management to:

  • Create a user
  • Get an API-key

This uses the deprecated metObs v1 API, which has been replaced by metObs v2

This tutorial gives an introduction on how to use the Danish Meteorological Institute's (DMI) metObs API to download weather data.

The tutorial uses the Python programming language and is in the format of a Jupyter Notebook.

The notebook can be downloaded and run locally, allowing new users to download data immediately.

Adam R. Jensen
Python API clientPython API client

#Python

#Library

User creation: Follow the guides for User Creation & Access Management to:

  • Create a user
  • Get an API-key

This uses the deprecated metObs v1 API, which has been replaced by metObs v2

This is a Python library for accessing the APIs resources. Documentation can be found through the link.

Woodsense /

Lasse Regin Nielsen

Submitting user guides and examples

Everyone is welcome to submit user guides and examples, by sending an email to friedata_kontakt@dmi.dk. DMI staff we will post it to this page, assuming it passes basic vetting. We look forward to hearing from you!

DMI voids any warranty

The user examples and libraries listed on this page are provided "as-is", without warranty of any kind, expressed or implied. Please be aware that the above libraries/guides/code might contain licenses, which must be adhered to.

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