The WRF-ERDS Workflow in the November 2020 Calabria Flood Event
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F22%3A10249100" target="_blank" >RIV/61989100:27740/22:10249100 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-94426-1_8" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-94426-1_8</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-94426-1_8" target="_blank" >10.1007/978-3-030-94426-1_8</a>
Alternative languages
Result language
angličtina
Original language name
The WRF-ERDS Workflow in the November 2020 Calabria Flood Event
Original language description
The LEXIS (Large-scale EXecution for Industry & Society) H2020 project is building an advanced engineering platform taking advantage of HPC, Cloud solutions and Big Data, leveraging existing HPC infrastructures. In the framework of the LEXIS project, CIMA Research Foundation is running a three nested domain WRF Model with European coverage and radar data assimilation over Italy. WRF data is then processed by ITHACA Extreme Rainfall Detection System (ERDS), an early warning system developed for the monitoring of heavy rainfall events. The WRF-ERDS workflow has been applied to the heavy rainfall event that affected Southern Italy, in particular Calabria Region, at the end of November 2020. Rainfall depths obtained using global-scale rainfall datasets and WRF data have been compared both with rain gauge data and with the daily bulletins issued by the Italian Civil Protection Department. The data obtained by running the WRF-ERDS workflow shows as an advanced engineering platform based on HPC and cloud solutions can provide more detailed forecasts to an early warning system like ERDS.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
—
Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Communications in Computer and Information Science. Volume 1507
ISBN
978-3-030-94425-4
ISSN
1865-0929
e-ISSN
1865-0937
Number of pages
11
Pages from-to
95-105
Publisher name
Springer
Place of publication
Cham
Event location
Janov
Event date
Jul 1, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000759617900008