UPDATE: Zenodo migration postponed to Oct 13 from 06:00-08:00 UTC. Read the announcement.

Presentation Open Access

Challenges when preparing machine learning tools for use in operational weather predictions

Dueben, Peter D.

GeoJSON Export

{
  "type": "FeatureCollection", 
  "features": []
}
66
7
views
downloads
All versions This version
Views 6666
Downloads 77
Data volume 53.2 MB53.2 MB
Unique views 4040
Unique downloads 77
More info on how stats are collected.
Indexed in
Publication date:
September 28, 2021
DOI:
10.5281/zenodo.5533639

Zenodo DOI Badge

DOI 

10.5281/zenodo.5533639

Markdown 

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.5533639.svg)](https://doi.org/10.5281/zenodo.5533639)

reStructedText 

.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.5533639.svg
   :target: https://doi.org/10.5281/zenodo.5533639

HTML 

<a href="https://doi.org/10.5281/zenodo.5533639"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.5533639.svg" alt="DOI"></a>

Image URL 

https://zenodo.org/badge/DOI/10.5281/zenodo.5533639.svg

Target URL 

https://doi.org/10.5281/zenodo.5533639

Grants:
European Commission:
  • ESiWACE2 - Excellence in Simulation of Weather and Climate in Europe, Phase 2 (823988)
  • MAELSTROM - MAchinE Learning for Scalable meTeoROlogy and cliMate (955513)
Communities:
License (for files):
Creative Commons Attribution 4.0 International

Versions

Version 1 10.5281/zenodo.5533639 Sep 28, 2021
Cite all versions? You can cite all versions by using the DOI 10.5281/zenodo.5533638. This DOI represents all versions, and will always resolve to the latest one. Read more.

Share

Cite as

Export