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

Authors :
Michele Bottazzi
Lucía Rodríguez‐Muñoz
Beatrice Chiavarini
Cinzia Caroli
Giuseppe Trotta
Chiara Dellacasa
Gian Franco Marras
Margherita Montanari
Monia Santini
Marco Mancini
Alessandro D'Anca
Paola Mercogliano
Mario Raffa
Giulia Villani
Fausto Tomei
Nicola Loglisci
Estíbaliz Gascón
Timothy Hewson
Giovanni Chillemi
Riccardo Valentini
Damiano Gianelle
Elena Massarenti
Martina Forconi
Lucia Mazzoni
Gabriella Scipione
Source :
Meteorological Applications, Vol 31, Iss 2, Pp n/a-n/a (2024)
Publication Year :
2024
Publisher :
Wiley, 2024.

Abstract

Abstract The 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.

Details

Language :
English
ISSN :
14698080 and 13504827
Volume :
31
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Meteorological Applications
Publication Type :
Academic Journal
Accession number :
edsdoj.9538833907e64dc696e21c712f048ef7
Document Type :
article
Full Text :
https://doi.org/10.1002/met.2166