Articles | Volume 20
20 Mar 2023
 | 20 Mar 2023

Maximizing the potential of numerical weather prediction models: lessons learned from combining high-performance computing and cloud computing

Paraskevi Vourlioti, Stylianos Kotsopoulos, Theano Mamouka, Apostolos Agrafiotis, Francisco Javier Nieto, Carlos Fernández Sánchez, Cecilia Grela Llerena, and Sergio García González

Cited articles

Bunch, C., Chohan, N., Krintz, C., and Shams, K.: Neptune: a domain specific language for deploying hpc software on cloud platforms, in: Proceedings of the 2nd International Workshop on Scientific Cloud Computing, 8 June 2011, San Jose, California, USA,, 2011. 
CDS – Copernicus Climate Change Service Climate Data Store: ERA5 hourly data on single levels from 1979 to present,!/home, last access: 25 August 2022. 
Centro de Supercomputation de Galicia: CESGA's new FinisTerrae III,, last access: 25 August 2022. 
Cloudify: Bridging the Gap Between Applications & Cloud Environments,, last access: 25 August 2022.  
Docker Hub: Model Evaluation Tools Plus (METplus) Repository,, last access: 25 August 2022. 
Short summary
By facilitating the execution of agriculture-related models in cloud and HPC this works demonstrated new features that allow the improvement of the involved processes in terms of technology combination. The technology pillars of this work follow the paradigm of European Union's initiative, Destine Earth (DE). Lesson learned in all three components (HPC, NWP, Cloud) of the developed data driven service are described and pathways for the creation of operational services are discussed.