Blog / Early Warning Systems

LEXIS Weather and Climate Large-Scale Pilot

Lorenza Bovio on Nov. 2, 2020

A paper about LEXIS Weather and Climate Large-scale Pilot has been published as part of the Proceedings of the 14th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS-2020)

The LEXIS Weather and Climate Large-scale Pilot will deliver a system for prediction of water-food-energy nexus phenomena and their associated socio-economic impacts. The system will be based on multiple model layers chained together, namely global weather and climate models, high-resolution regional weather models, domain-specific application models (such as hydrological, forest fire risk forecasts), impact models providing information for key decision and policy makers (such as air quality, agriculture crop production, and extreme rainfall detection for flood mapping).

The paper reports about the first results of this pilot in terms of serving model output data and products with Cloud and High Performance Data Analytics (HPDA) environments, on top a Weather Climate Data APIs (ECMWF), as well as the porting of models on the LEXIS Infrastructure via different virtualization strategies (virtual machine and containers).

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WP7 - Test-bed structure and dataflow

You can find the paper to download on the Springer website.

This work was supported by the LEXIS project funded by the EU’s Horizon 2020 research and innovation programme (2014–2020) under grant agreement no. 825532.