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"name": "RSE SpA - Ricerca sul Sistema Energetico, Milan - Italy" } ], "person_or_org": { "family_name": "Matteo Lacavalla", "identifiers": [ { "identifier": "0000-0002-6334-5191", "scheme": "orcid" } ], "name": "Matteo Lacavalla", "type": "personal" } }, { "affiliations": [ { "name": "RSE SpA - Ricerca sul Sistema Energetico, Milan - Italy" } ], "person_or_org": { "family_name": "Simone Sperati", "identifiers": [ { "identifier": "0000-0003-4436-2719", "scheme": "orcid" } ], "name": "Simone Sperati", "type": "personal" } } ], "description": "
The new MEteorological Reanalysis Italian DAtaset (MERIDA) has been developed to cope with the increasing weather extremes of the last 20 years, which caused several disruptions to the Italian electric system. This work has been developed following the indications emerged from the “Resilience Working Table” set up by the Italian Regulatory Authority for Energy, Networks and the Environment (ARERA). MERIDA is able to respond to the energy stakeholders, who need reliable meteorological data to implement effective adaptation strategies to operate the electric system safely.
\n\nMERIDA consists of a dynamical downscaling of the ERA5 global reanalysis using the mesoscale model WRF-ARW. ERA5 data are retrieved with a 3-hourly temporal resolution to assure good temporal consistency. Temperature data from the SYNOP Air Force stations are also retrieved to be ingested in the WRF simulations at 3-hourly temporal resolution.
\n\nThe computational domain of MERIDA consists of 2 grids with horizontal resolution of 21 km and 7 km respectively, with the internal grid centered over Italy.
\n\nThe meteorological fields of MERIDA are open access and distributed in NETCDF file format on a regular lat-lon grid of 0.07° resolution.
\n\nA subset of the dataset is available here for download for the period 2000-2018. The full dataset covering the period 1990-2019, and continuoulsy updated, is available at the following website: http://merida.rse-web.it/
\n\nThe following subset of meteorological fields is available here for download:
\n\nThe following variables are available under request:
\n\nAll the variables not included for download may be downloaded at : http://merida.rse-web.it/
\n\nor requested at:
\n\n", "languages": [ { "id": "eng", "title": { "en": "English" } } ], "publication_date": "2019-05-06", "publisher": "Zenodo", "references": [ { "reference": "Bonanno R, Lacavalla M, Sperati S. A new high-resolution Meteorological Reanalysis Italian Dataset: MERIDA. Q J R Meteorol Soc. 2019;1\u201324. https://doi.org/10.1002/qj.3530" } ], "resource_type": { "id": "dataset", "title": { "de": "Datensatz", "en": "Dataset" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "subjects": [ { "subject": "electric system, meteorological observations, reanalysis, resilience, weather extremes, wet snow" } ], "title": "MERIDA - MEteorological Reanalysis Italian DAtaset", "version": "1" }, "parent": { "access": { "owned_by": { "user": 66450 } }, "communities": {}, "id": "2677592", "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.2677592", "provider": "datacite" } } }, "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.2677593", "provider": "datacite" }, "oai": { "identifier": "oai:zenodo.org:2677593", "provider": "oai" } }, "revision_id": 9, "stats": { "all_versions": { "data_volume": 17413733889754.0, "downloads": 1868, "unique_downloads": 368, "unique_views": 1265, "views": 1402 }, "this_version": { "data_volume": 17413733889754.0, "downloads": 1868, "unique_downloads": 368, "unique_views": 1263, "views": 1400 } }, "status": "published", "updated": "2021-02-11T09:30:16.830293+00:00", "versions": { "index": 1, "is_latest": true } }