Lexis weather and climate large-scale pilot
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F21%3A10246000" target="_blank" >RIV/61989100:27740/21:10246000 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-3-030-50454-0_25" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-030-50454-0_25</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-50454-0_25" target="_blank" >10.1007/978-3-030-50454-0_25</a>
Alternative languages
Result language
angličtina
Original language name
Lexis weather and climate large-scale pilot
Original language description
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). (C) Springer Nature Switzerland AG 2021.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Intelligent Systems and Computing. Volume 1194
ISBN
978-3-030-50454-0
ISSN
2194-5357
e-ISSN
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Number of pages
11
Pages from-to
267-277
Publisher name
Springer
Place of publication
Cham
Event location
Lodž
Event date
Jul 1, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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