- Title
- Climatological monthly means from the global hydrodynamic-biogeochemical model NEMO-ERSEM_ hindcast from 1980-2019_ physical variables - Absolute Salinity
- License
- Attribution 4.0 International (CC BY 4.0)
-
+ This is a human-readable summary of (and not a substitute for) the license. Disclaimer.
+ You are free to:
+ Share — copy and redistribute the material in any medium or format
+ Adapt — remix, transform, and build upon the material
+ for any purpose, even commercially.
+ This license is acceptable for Free Cultural Works.
+ The licensor cannot revoke these freedoms as long as you follow the license terms.
+ Under the following terms:
+ Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
+
+ No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
+ Notices:
+ You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
+ No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
+ For more info see https://creativecommons.org/licenses/by/4.0/. - Abstract
Climatological monthly means output (physical variables) from the global hydrodynamic-biogeochemical model (NEMO-ERSEM) by the Plymouth Marine Laboratory (PML) within the framework of the project Mission Atlantic (https://missionatlantic.eu/). This 40-year monthly means netcdf file of 1 degree regular grid resolution is a sample aiming to show the results of the model in the geonode. The variables included in this netcdf are: sea water absolute salinity (so_abs, units: psu), sea water conservative temperature (thetao_con, units: C°), mixed layer depth (mldr10_1, units: m), latitude (lat, units: degrees), longitude (lon, units: degrees), time (time, units: seconds since 1900-01-01 00:00:00), depth [height] (z, units: m). The original model output files are stored with the data provider at the Plymouth Marine Laboratory.
- Publication Date
- Sept. 8, 2023, 12:57 p.m.
- Type
- Raster Data
- Category
- Climatology Meteorology Atmosphere
- Processes and phenomena of the atmosphere. Examples: cloud cover, weather, climate, atmospheric conditions, climate change, precipitation.
- Regions
- Global
- Responsible
- gig
- DOI
- https://doi.org/10.14284/627
- Language
- English
- Temporal Extent
- Jan. 1, 1980, midnight - Jan. 1, 2019, midnight
- Data Quality
This dataset was generated by running the NEMO-ERSEM coupled physics-biogeochemistry ocean modelling suite in its SE-NEMO eORCA025 global configuration on the ARCHER2 HPC facility. NEMO (Nucleus for European Modelling of the Ocean, Gurvan et al., 2019, 10.5281/ZENODO.3878122) is an hydrodynamic ocean model and ERSEM (European Regional Seas Ecosystem Model, Butenschön et al., 2016, 10.5194/gmd-9-1293-2016) is a lower trophic network biogeochemical model. The model has an horizontal resolution of 0.25 degrees on a tripolar grid and uses 72 multi-envelope vertical levels. The model includes tidal and sea ice dynamics. Original outputs' resolution (stored in MDA) was degraded to one degree and regridded on a regular vertical grid to be suitable for the online viewer (Mission Atlantic GeoNode). This hindcast simulation ran from 1976 to 2019. The model was initialised with biogeochemical fields from the GLODAP climatology dataset (Olsen et al., 2016, 10.5194/essd-8-297-2016) and from the global ocean iron climatology in (Huang et al. 2022, 10.3389/fmars.2022.837183). Variables not present in these datasets (e.g. plankton functional types) were initialised with constant low values.
Physics initial conditions are from the EN4 climatology (Good et al. 2013, 10.1002/2013JC009067). Physics atmospheric forcing fields (temperature, pressure, wind, precipitation) are from the global reanalysis JRA-55 (Kobayashi et al., 2015, 10.2151/jmsj.2015-001). Atmospheric nitrogen deposition is from the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP3a; http://www.isimip.org, last access: 28 April 2023) and iron deposition is from Myriokefalitakis et al. (2018, 10.5194/os-16-1183-2020). River discharge is derived from (Tsujino et al., 2018, 10.5194/gmd-13-3643-2020). River nutrient loads are from a global coarse resolution catchment model (Beusen et al., 2022, 10.1016/j.gloenvcha.2021.102426) combined with freshwater inputs.
- Supplemental Information
- Spatial Representation Type
- grid data is used to represent geographic data
Comments (0 total)
Log in to add a comment