NEMO-FABM-ERSEM-MIZER climate change simulation data Article Swipe
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.8220652
This dataset corresponds to data produced from running NEMO-FABM-ERSEM MIZER on the AMM7 domain as part of the COMFORT project and used in the Deliverable 3.3 (see related identifiers). A scientific manuscript is in preparation. The climate simulation was run from 1981-2100 forced by atmospheric and lateral boundary condition from the IPSL-CMR5a-MR (RCP 8.5) climate simulation (Dufresne et al., 2013; WCRP, 2016) . Data reported here are from 1990-2100, unless otherwise stated. Data has been post-processed to convert it to depth independent (2D), monthly averaged variables. Consequently all data are either depth-integrated, mean across depth (temperature, salinity) or surface data (nutrients). For access to the raw data or more details, please contact Helen Powley ([email protected]).
Related Topics
- Type
- dataset
- Language
- en
- Landing Page
- https://doi.org/10.5281/zenodo.8220652
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4393878450
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4393878450Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.5281/zenodo.8220652Digital Object Identifier
- Title
-
NEMO-FABM-ERSEM-MIZER climate change simulation dataWork title
- Type
-
datasetOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-08-07Full publication date if available
- Authors
-
Helen R. Powley, Yuri Artioli, Giovanni Galli, Jorn BruggemanList of authors in order
- Landing page
-
https://doi.org/10.5281/zenodo.8220652Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.5281/zenodo.8220652Direct OA link when available
- Concepts
-
Climate change, Climate simulation, Computer science, Environmental science, Climate model, Geology, OceanographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4393878450 |
|---|---|
| doi | https://doi.org/10.5281/zenodo.8220652 |
| ids.doi | https://doi.org/10.5281/zenodo.8220652 |
| ids.openalex | https://openalex.org/W4393878450 |
| fwci | |
| type | dataset |
| title | NEMO-FABM-ERSEM-MIZER climate change simulation data |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T11588 |
| topics[0].field.id | https://openalex.org/fields/23 |
| topics[0].field.display_name | Environmental Science |
| topics[0].score | 0.08860000222921371 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2306 |
| topics[0].subfield.display_name | Global and Planetary Change |
| topics[0].display_name | Atmospheric and Environmental Gas Dynamics |
| topics[1].id | https://openalex.org/T13126 |
| topics[1].field.id | https://openalex.org/fields/31 |
| topics[1].field.display_name | Physics and Astronomy |
| topics[1].score | 0.08410000056028366 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/3109 |
| topics[1].subfield.display_name | Statistical and Nonlinear Physics |
| topics[1].display_name | Scientific Research and Discoveries |
| topics[2].id | https://openalex.org/T10466 |
| topics[2].field.id | https://openalex.org/fields/19 |
| topics[2].field.display_name | Earth and Planetary Sciences |
| topics[2].score | 0.08079999685287476 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1902 |
| topics[2].subfield.display_name | Atmospheric Science |
| topics[2].display_name | Meteorological Phenomena and Simulations |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C132651083 |
| concepts[0].level | 2 |
| concepts[0].score | 0.557101845741272 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q7942 |
| concepts[0].display_name | Climate change |
| concepts[1].id | https://openalex.org/C2987765510 |
| concepts[1].level | 4 |
| concepts[1].score | 0.4694473445415497 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q620920 |
| concepts[1].display_name | Climate simulation |
| concepts[2].id | https://openalex.org/C41008148 |
| concepts[2].level | 0 |
| concepts[2].score | 0.4430035650730133 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[2].display_name | Computer science |
| concepts[3].id | https://openalex.org/C39432304 |
| concepts[3].level | 0 |
| concepts[3].score | 0.3868672847747803 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q188847 |
| concepts[3].display_name | Environmental science |
| concepts[4].id | https://openalex.org/C168754636 |
| concepts[4].level | 3 |
| concepts[4].score | 0.24796253442764282 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q620920 |
| concepts[4].display_name | Climate model |
| concepts[5].id | https://openalex.org/C127313418 |
| concepts[5].level | 0 |
| concepts[5].score | 0.1506030261516571 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q1069 |
| concepts[5].display_name | Geology |
| concepts[6].id | https://openalex.org/C111368507 |
| concepts[6].level | 1 |
| concepts[6].score | 0.06963667273521423 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q43518 |
| concepts[6].display_name | Oceanography |
| keywords[0].id | https://openalex.org/keywords/climate-change |
| keywords[0].score | 0.557101845741272 |
| keywords[0].display_name | Climate change |
| keywords[1].id | https://openalex.org/keywords/climate-simulation |
| keywords[1].score | 0.4694473445415497 |
| keywords[1].display_name | Climate simulation |
| keywords[2].id | https://openalex.org/keywords/computer-science |
| keywords[2].score | 0.4430035650730133 |
| keywords[2].display_name | Computer science |
| keywords[3].id | https://openalex.org/keywords/environmental-science |
| keywords[3].score | 0.3868672847747803 |
| keywords[3].display_name | Environmental science |
| keywords[4].id | https://openalex.org/keywords/climate-model |
| keywords[4].score | 0.24796253442764282 |
| keywords[4].display_name | Climate model |
| keywords[5].id | https://openalex.org/keywords/geology |
| keywords[5].score | 0.1506030261516571 |
| keywords[5].display_name | Geology |
| keywords[6].id | https://openalex.org/keywords/oceanography |
| keywords[6].score | 0.06963667273521423 |
| keywords[6].display_name | Oceanography |
| language | en |
| locations[0].id | doi:10.5281/zenodo.8220652 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306400562 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Zenodo (CERN European Organization for Nuclear Research) |
| locations[0].source.host_organization | https://openalex.org/I67311998 |
| locations[0].source.host_organization_name | European Organization for Nuclear Research |
| locations[0].source.host_organization_lineage | https://openalex.org/I67311998 |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| locations[0].version | |
| locations[0].raw_type | dataset |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | False |
| locations[0].is_published | |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.5281/zenodo.8220652 |
| indexed_in | datacite |
| authorships[0].author.id | https://openalex.org/A5063349979 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-9704-6122 |
| authorships[0].author.display_name | Helen R. Powley |
| authorships[0].countries | GB |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I2802566253 |
| authorships[0].affiliations[0].raw_affiliation_string | Plymouth Marine Laboratory |
| authorships[0].institutions[0].id | https://openalex.org/I2802566253 |
| authorships[0].institutions[0].ror | https://ror.org/05av9mn02 |
| authorships[0].institutions[0].type | facility |
| authorships[0].institutions[0].lineage | https://openalex.org/I2802566253 |
| authorships[0].institutions[0].country_code | GB |
| authorships[0].institutions[0].display_name | Plymouth Marine Laboratory |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Helen R. Powley |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Plymouth Marine Laboratory |
| authorships[1].author.id | https://openalex.org/A5047398009 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-5498-4223 |
| authorships[1].author.display_name | Yuri Artioli |
| authorships[1].countries | GB |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I2802566253 |
| authorships[1].affiliations[0].raw_affiliation_string | Plymouth Marine Laboratory |
| authorships[1].institutions[0].id | https://openalex.org/I2802566253 |
| authorships[1].institutions[0].ror | https://ror.org/05av9mn02 |
| authorships[1].institutions[0].type | facility |
| authorships[1].institutions[0].lineage | https://openalex.org/I2802566253 |
| authorships[1].institutions[0].country_code | GB |
| authorships[1].institutions[0].display_name | Plymouth Marine Laboratory |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Yuri Artioli |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Plymouth Marine Laboratory |
| authorships[2].author.id | https://openalex.org/A5062321482 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-3400-7978 |
| authorships[2].author.display_name | Giovanni Galli |
| authorships[2].countries | GB |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I2802566253 |
| authorships[2].affiliations[0].raw_affiliation_string | Plymouth Marine Laboratory |
| authorships[2].institutions[0].id | https://openalex.org/I2802566253 |
| authorships[2].institutions[0].ror | https://ror.org/05av9mn02 |
| authorships[2].institutions[0].type | facility |
| authorships[2].institutions[0].lineage | https://openalex.org/I2802566253 |
| authorships[2].institutions[0].country_code | GB |
| authorships[2].institutions[0].display_name | Plymouth Marine Laboratory |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Giovanni Galli |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Plymouth Marine Laboratory |
| authorships[3].author.id | https://openalex.org/A5084468185 |
| authorships[3].author.orcid | https://orcid.org/0000-0003-2493-2323 |
| authorships[3].author.display_name | Jorn Bruggeman |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I4387156033 |
| authorships[3].affiliations[0].raw_affiliation_string | Bolding & Bruggeman ApS |
| authorships[3].institutions[0].id | https://openalex.org/I4387156033 |
| authorships[3].institutions[0].ror | https://ror.org/05hc3k973 |
| authorships[3].institutions[0].type | company |
| authorships[3].institutions[0].lineage | https://openalex.org/I4387156033 |
| authorships[3].institutions[0].country_code | |
| authorships[3].institutions[0].display_name | Bolding & Bruggeman |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Jorn Bruggeman |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Bolding & Bruggeman ApS |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.5281/zenodo.8220652 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | NEMO-FABM-ERSEM-MIZER climate change simulation data |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T06:51:31.235846 |
| primary_topic.id | https://openalex.org/T11588 |
| primary_topic.field.id | https://openalex.org/fields/23 |
| primary_topic.field.display_name | Environmental Science |
| primary_topic.score | 0.08860000222921371 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2306 |
| primary_topic.subfield.display_name | Global and Planetary Change |
| primary_topic.display_name | Atmospheric and Environmental Gas Dynamics |
| related_works | https://openalex.org/W2748952813, https://openalex.org/W2390279801, https://openalex.org/W2358668433, https://openalex.org/W2376932109, https://openalex.org/W2001405890, https://openalex.org/W2382290278, https://openalex.org/W2478288626, https://openalex.org/W4391913857, https://openalex.org/W2350741829, https://openalex.org/W2530322880 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.5281/zenodo.8220652 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400562 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Zenodo (CERN European Organization for Nuclear Research) |
| best_oa_location.source.host_organization | https://openalex.org/I67311998 |
| best_oa_location.source.host_organization_name | European Organization for Nuclear Research |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I67311998 |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | |
| best_oa_location.raw_type | dataset |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.5281/zenodo.8220652 |
| primary_location.id | doi:10.5281/zenodo.8220652 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306400562 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Zenodo (CERN European Organization for Nuclear Research) |
| primary_location.source.host_organization | https://openalex.org/I67311998 |
| primary_location.source.host_organization_name | European Organization for Nuclear Research |
| primary_location.source.host_organization_lineage | https://openalex.org/I67311998 |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| primary_location.version | |
| primary_location.raw_type | dataset |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.5281/zenodo.8220652 |
| publication_date | 2023-08-07 |
| publication_year | 2023 |
| referenced_works_count | 0 |
| abstract_inverted_index.. | 62 |
| abstract_inverted_index.A | 29 |
| abstract_inverted_index.as | 14 |
| abstract_inverted_index.by | 43 |
| abstract_inverted_index.et | 57 |
| abstract_inverted_index.in | 22, 33 |
| abstract_inverted_index.is | 32 |
| abstract_inverted_index.it | 78 |
| abstract_inverted_index.of | 16 |
| abstract_inverted_index.on | 10 |
| abstract_inverted_index.or | 97, 107 |
| abstract_inverted_index.to | 3, 76, 79, 103 |
| abstract_inverted_index.3.3 | 25 |
| abstract_inverted_index.For | 101 |
| abstract_inverted_index.The | 35 |
| abstract_inverted_index.all | 87 |
| abstract_inverted_index.and | 20, 45 |
| abstract_inverted_index.are | 66, 89 |
| abstract_inverted_index.has | 73 |
| abstract_inverted_index.raw | 105 |
| abstract_inverted_index.run | 39 |
| abstract_inverted_index.the | 11, 17, 23, 50, 104 |
| abstract_inverted_index.was | 38 |
| abstract_inverted_index.(RCP | 52 |
| abstract_inverted_index.(see | 26 |
| abstract_inverted_index.8.5) | 53 |
| abstract_inverted_index.AMM7 | 12 |
| abstract_inverted_index.Data | 63, 72 |
| abstract_inverted_index.This | 0 |
| abstract_inverted_index.al., | 58 |
| abstract_inverted_index.been | 74 |
| abstract_inverted_index.data | 4, 88, 99, 106 |
| abstract_inverted_index.from | 6, 40, 49, 67 |
| abstract_inverted_index.here | 65 |
| abstract_inverted_index.mean | 92 |
| abstract_inverted_index.more | 108 |
| abstract_inverted_index.part | 15 |
| abstract_inverted_index.used | 21 |
| abstract_inverted_index.(2D), | 82 |
| abstract_inverted_index.2013; | 59 |
| abstract_inverted_index.2016) | 61 |
| abstract_inverted_index.Helen | 112 |
| abstract_inverted_index.MIZER | 9 |
| abstract_inverted_index.WCRP, | 60 |
| abstract_inverted_index.depth | 80, 94 |
| abstract_inverted_index.Powley | 113 |
| abstract_inverted_index.access | 102 |
| abstract_inverted_index.across | 93 |
| abstract_inverted_index.domain | 13 |
| abstract_inverted_index.either | 90 |
| abstract_inverted_index.forced | 42 |
| abstract_inverted_index.please | 110 |
| abstract_inverted_index.unless | 69 |
| abstract_inverted_index.COMFORT | 18 |
| abstract_inverted_index.climate | 36, 54 |
| abstract_inverted_index.contact | 111 |
| abstract_inverted_index.convert | 77 |
| abstract_inverted_index.dataset | 1 |
| abstract_inverted_index.lateral | 46 |
| abstract_inverted_index.monthly | 83 |
| abstract_inverted_index.project | 19 |
| abstract_inverted_index.related | 27 |
| abstract_inverted_index.running | 7 |
| abstract_inverted_index.stated. | 71 |
| abstract_inverted_index.surface | 98 |
| abstract_inverted_index.averaged | 84 |
| abstract_inverted_index.boundary | 47 |
| abstract_inverted_index.details, | 109 |
| abstract_inverted_index.produced | 5 |
| abstract_inverted_index.reported | 64 |
| abstract_inverted_index.(Dufresne | 56 |
| abstract_inverted_index.1981-2100 | 41 |
| abstract_inverted_index.condition | 48 |
| abstract_inverted_index.otherwise | 70 |
| abstract_inverted_index.salinity) | 96 |
| abstract_inverted_index.1990-2100, | 68 |
| abstract_inverted_index.manuscript | 31 |
| abstract_inverted_index.scientific | 30 |
| abstract_inverted_index.simulation | 37, 55 |
| abstract_inverted_index.variables. | 85 |
| abstract_inverted_index.Deliverable | 24 |
| abstract_inverted_index.atmospheric | 44 |
| abstract_inverted_index.corresponds | 2 |
| abstract_inverted_index.independent | 81 |
| abstract_inverted_index.(nutrients). | 100 |
| abstract_inverted_index.Consequently | 86 |
| abstract_inverted_index.preparation. | 34 |
| abstract_inverted_index.(temperature, | 95 |
| abstract_inverted_index.IPSL-CMR5a-MR | 51 |
| abstract_inverted_index.identifiers). | 28 |
| abstract_inverted_index.post-processed | 75 |
| abstract_inverted_index.NEMO-FABM-ERSEM | 8 |
| abstract_inverted_index.([email protected]). | 114 |
| abstract_inverted_index.depth-integrated, | 91 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/13 |
| sustainable_development_goals[0].score | 0.8100000023841858 |
| sustainable_development_goals[0].display_name | Climate action |
| citation_normalized_percentile |