The LEXIS (Large-scale EXecution for Industry & Society) Weather and Climate Pilot is developing a system for the prediction of water-related phenomena and their associated socioeconomic impacts. The system is based on multiple models chained together, as global weather models, high-resolution regional weather models, domain-specific application models (hydrological and forest fire risk forecasts), and impact models providing information (such as air quality and rainfall intensity) for key decisions and policymakers. This chapter describes the key aspect of this pilot in terms of serving model output data and products with cloud and high-performance data analytics environments, on top of a Weather Climate Data API, as well as the porting of models on the LEXIS infrastructure via different virtualization strategies (as virtual machine and dockers).

Exploitation of multiple model layers within LEXIS Weather and Climate Pilot / Mazzoglio, Paola; Danovaro, Emanuele; Ganne, Laurent; Parodi, Andrea; Hachinger, Stephan; Galizia, Antonella; Parodi, Antonio; Martinovič, Jan - In: HPC, big data, and AI convergence towards exascale / Terzo O., Martinovič J.. - ELETTRONICO. - [s.l] : CRC Press, 2022. - ISBN 9781003176664. - pp. 147-164 [10.1201/9781003176664-8]

Exploitation of multiple model layers within LEXIS Weather and Climate Pilot

Mazzoglio, Paola;
2022

Abstract

The LEXIS (Large-scale EXecution for Industry & Society) Weather and Climate Pilot is developing a system for the prediction of water-related phenomena and their associated socioeconomic impacts. The system is based on multiple models chained together, as global weather models, high-resolution regional weather models, domain-specific application models (hydrological and forest fire risk forecasts), and impact models providing information (such as air quality and rainfall intensity) for key decisions and policymakers. This chapter describes the key aspect of this pilot in terms of serving model output data and products with cloud and high-performance data analytics environments, on top of a Weather Climate Data API, as well as the porting of models on the LEXIS infrastructure via different virtualization strategies (as virtual machine and dockers).
2022
9781003176664
HPC, big data, and AI convergence towards exascale
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2948448