Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 13, issue 11
Articles | Volume 13, issue 11
https://doi.org/10.5194/gmd-13-5799-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-5799-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 11
Development and technical paper
 | 
26 Nov 2020
Development and technical paper |  | 26 Nov 2020

Necessary conditions for algorithmic tuning of weather prediction models using OpenIFS as an example

Lauri Tuppi, Pirkka Ollinaho, Madeleine Ekblom, Vladimir Shemyakin, and Heikki Järvinen

Model code and software

pirkkao/OpenEPS: Initial release (Version v0.952) Pirkka Ollinaho https://doi.org/10.5281/zenodo.3759127

aurituppi/OpenEPS: OpenEPS for convergence testing (Version v1.0) Pirkka Ollinaho and Lauri Tupp https://doi.org/10.5281/zenodo.3757601

mjlaine/eppes: initial release (Version v1.0) M. Laine https://doi.org/10.5281/zenodo.375758

Download
Short summary
This paper presents general guidelines on how to utilise computer algorithms efficiently in order to tune weather models so that they would produce better forecasts. The main conclusions are that the computer algorithms work most efficiently with a suitable cost function, certain forecast length and ensemble size. We expect that our results will facilitate the use of algorithmic methods in the tuning of weather models.
Read more