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

Bottazzi, M.; Rodríguez‐muñoz, L.; Chiavarini, B.; Caroli, C.; Trotta, G.; Dellacasa, C.; Marras, G.F.; Montanari, M.; Santini, M.; Mancini, M.; D'Anca, A.; Mercogliano, P.; Raffa, M.; Villani, G.; Tomei, F.; Loglisci, N.; Gascón, E.; Hewson, T.; Chillemi, G.; Valentini, R.; Gianelle, D.; Massarenti, E.; Forconi, M.; Mazzoni, L.; Scipione, G. (2024). High performance computing to support land, climate, and user‐oriented services: The HIGHLANDER Data Portal. METEOROLOGICAL APPLICATIONS, 31 (2): e2166. doi: 10.1002/met.2166 handle: https://hdl.handle.net/10449/84515

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

Gianelle, Damiano;
2024-01-01

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
Climate
Forecasts
HPC
Land
Observations
Projections
Settore INF/01 - INFORMATICA
2024
Bottazzi, M.; Rodríguez‐muñoz, L.; Chiavarini, B.; Caroli, C.; Trotta, G.; Dellacasa, C.; Marras, G.F.; Montanari, M.; Santini, M.; Mancini, M.; D'Anca, A.; Mercogliano, P.; Raffa, M.; Villani, G.; Tomei, F.; Loglisci, N.; Gascón, E.; Hewson, T.; Chillemi, G.; Valentini, R.; Gianelle, D.; Massarenti, E.; Forconi, M.; Mazzoni, L.; Scipione, G. (2024). High performance computing to support land, climate, and user‐oriented services: The HIGHLANDER Data Portal. METEOROLOGICAL APPLICATIONS, 31 (2): e2166. doi: 10.1002/met.2166 handle: https://hdl.handle.net/10449/84515
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10449/84515
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