High performance computing to support land, climate, and user‐oriented services: The <scp>HIGHLANDER</scp> Data Portal-Reference-Cited by-同舟云学术

High performance computing to support land, climate, and user‐oriented services: The HIGHLANDER Data Portal

Published:2024-03 Issue:2 Volume:31 Page:
ISSN:1350-4827
Container-title:Meteorological Applications
language:en
Short-container-title:Meteorological Applications

Author:

Bottazzi Michele¹^ORCID,Rodríguez‐Muñoz Lucía¹^ORCID,Chiavarini Beatrice¹^ORCID,Caroli Cinzia¹^ORCID,Trotta Giuseppe¹^ORCID,Dellacasa Chiara¹^ORCID,Marras Gian Franco¹^ORCID,Montanari Margherita¹,Santini Monia²^ORCID,Mancini Marco²^ORCID,D'Anca Alessandro²^ORCID,Mercogliano Paola²^ORCID,Raffa Mario²^ORCID,Villani Giulia³^ORCID,Tomei Fausto³^ORCID,Loglisci Nicola⁴,Gascón Estíbaliz⁵^ORCID,Hewson Timothy⁵^ORCID,Chillemi Giovanni⁶^ORCID,Valentini Riccardo⁶^ORCID,Gianelle Damiano⁷^ORCID,Massarenti Elena⁸,Forconi Martina⁹,Mazzoni Lucia¹⁰,Scipione Gabriella¹^ORCID

Affiliation:

1. CINECA National Supercomputing Center Bologna Italy

2. CMCC Foundation ‐ Euro‐Mediterranean Center on Climate Change Italy

3. ARPAE, Emilia Romagna Regional Agency for Prevention, Environment and Energy Bologna Italy

4. ARPAP, Piedmont Regional Agency for Prevention, Environment and Energy Torino Italy

5. European Centre for Medium‐Range Weather Forecasts Reading UK

6. University of Tuscia Viterbo Italy

7. Fondazione Edmund Mach di San Michele all'Adige San Michele all'Adige Italy

8. CIA – Italian Farmers – Piedmont Regional Association Torino Italy

9. Deda Next Trento Italy

10. ART‐ER Bologna Italy

Abstract

AbstractThe Italian territory is located at the heart of one of the global hot spots of climate change, where the implementation of climate‐smart land management practices is imperative to guarantee the present and future maintenance of ecosystem functions as well as the sustainability of human socioeconomic activities. The project HIGHLANDER (HIGH performance computing to support smart LAND sERvices) led by Cineca aims at building a comprehensive and multi‐sector framework for land‐management decision‐making in Italy. The project relies on high quality information on different components of the landscape, with a focus on climate‐driven processes, and state‐of‐the‐art computing infrastructures. The HIGHLANDER Data Portal maximizes the impact of HIGHLANDER results by providing access to data products and services. In this article, we describe the architectural features of the platform, as well as the available HIGHLANDER datasets and downstream applications.

Publisher

Wiley

Link

https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/met.2166

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