High performance computing to support land, climate, and user‐oriented services: The HIGHLANDER Data Portal
| Title: | High performance computing to support land, climate, and user‐oriented services: The HIGHLANDER Data Portal |
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| 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) |
| Publisher Information: | Wiley, 2024. |
| Publication Year: | 2024 |
| Collection: | LCC:Meteorology. Climatology |
| Subject Terms: | climate, forecasts, HPC, land, observations, projections, Meteorology. Climatology, QC851-999 |
| More Details: | 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. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 1469-8080 1350-4827 |
| Relation: | https://doaj.org/toc/1350-4827; https://doaj.org/toc/1469-8080 |
| DOI: | 10.1002/met.2166 |
| Access URL: | https://doaj.org/article/9538833907e64dc696e21c712f048ef7 |
| Accession Number: | edsdoj.9538833907e64dc696e21c712f048ef7 |
| Database: | Directory of Open Access Journals |
| ISSN: | 14698080 13504827 |
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| DOI: | 10.1002/met.2166 |
| Published in: | Meteorological Applications |
| Language: | English |