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). This paper will report 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).

LEXIS weather and climate large-scale pilot / Parodi, Antonio; Danovaro, Emanuele; Hawkes, James; Quintino, Tiago; Lagasio, Martina; Delogu, Fabio; D'Andrea, Mirko; Parodi, Andrea; Sardo Biagio, Massimo; Ajmar, Andrea; Mazzoglio, Paola; Brocheton, Fabien; Ganne, Laurent; Garcia-Hernandez Ruben, J.; Hachinger, Stephan; Hayek, Mohamad; Terzo, Olivier; Krenek, Jan; Martinovic, Jan. - ELETTRONICO. - 1194:(2021), pp. 267-277. ((Intervento presentato al convegno 14th International Conference on Complex, Intelligent and Software Intensive Systems, CISIS 2020, held in conjunction with the 14th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2020 tenutosi a Lodz (Poland) nel 2020 [10.1007/978-3-030-50454-0_25].

LEXIS weather and climate large-scale pilot

Ajmar Andrea;Mazzoglio Paola;
2021

Abstract

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). This paper will report 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).
978-3-030-50453-3
978-3-030-50454-0
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2838358