Exploitation of Multiple Model Layers within LEXIS Weather and Climate Pilot: An HPC-Based Approach

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F22%3A10251905" target="_blank" >RIV/61989100:27740/22:10251905 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.taylorfrancis.com/chapters/edit/10.1201/9781003176664-8/exploitation-multiple-model-layers-within-lexis-weather-climate-pilot-paola-mazzoglio-emanuele-danovaro-laurent-ganne-andrea-parodi-stephan-hachinger-antonella-galizia-antonio-parodi-jan-martinovič" target="_blank" >https://www.taylorfrancis.com/chapters/edit/10.1201/9781003176664-8/exploitation-multiple-model-layers-within-lexis-weather-climate-pilot-paola-mazzoglio-emanuele-danovaro-laurent-ganne-andrea-parodi-stephan-hachinger-antonella-galizia-antonio-parodi-jan-martinovič</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1201/9781003176664-8" target="_blank" >10.1201/9781003176664-8</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Exploitation of Multiple Model Layers within LEXIS Weather and Climate Pilot: An HPC-Based Approach

Popis výsledku v původním jazyce

The LEXIS (Large-scale EXecution for Industry &amp; 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). (C) 2022 selection and editorial matter, Olivier Terzo and Jan Martinovic; individual chapters, the contributors.

Název v anglickém jazyce

Exploitation of Multiple Model Layers within LEXIS Weather and Climate Pilot: An HPC-Based Approach

Popis výsledku anglicky

The LEXIS (Large-scale EXecution for Industry &amp; 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). (C) 2022 selection and editorial matter, Olivier Terzo and Jan Martinovic; individual chapters, the contributors.

Druh

C - Kapitola v odborné knize

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

HPC, Big Data, and AI Convergence Towards Exascale: Challenge and Vision

ISBN

978-1-03-200984-1

Počet stran výsledku

17

Strana od-do

147-163

Počet stran knihy

163

Název nakladatele

CRC Press

Místo vydání

Boca Raton

Kód UT WoS kapitoly

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