Identification

Title
Climatological monthly means from the global hydrodynamic-biogeochemical model NEMO-ERSEM_ hindcast from 1980-2019_ biogeochemical variables - Total Chlorophyll depth integral
Abstract

Climatological monthly means output (biogeochemical 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 Mission Atlantic GeoNode. The variables included in this netcdf are: phosphate (N1_p, units: mmol P/m^3), nitrate (N3_n, units: mmol N/m^3), silicate (N5_s, units: mmol Si/m^3), oxygen (O2_o, mmol O/m^3), total alkalinity (O3_TA, units: umol/kg), total dissolved inorganic carbon (O3_c, units: mmol C/m^3), total phytoplankton chlorophyll-a (Ptot_Chl_result, units: mg_{chl-a} /m^3), total phytoplankton net primary production (Ptot_NPP_result, units: mg_{C} /m^-3), total phytoplankton chlorophyll-a depth integral (Ptot_Chl_result_depth_int, units: mg_{chl-a} /m^2),total phytoplankton net primary production depth integral (Ptot_NPP_result_depth_int, units: mg_{C} /m^2), 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. 

License
Attribution 4.0 International (CC BY 4.0)
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Publication Date
Sept. 7, 2023, 9 a.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
Approved
Yes
Published
Yes
Featured
No
DOI
https://doi.org/10.14284/626
Attribution
None
Responsible

Name
giovanni galli (gig)
email
gig@pml.ac.uk
Position
Marine Ecosystem Modeller
Organization
Plymouth Marine Laboratory (PML)
Location
Plymouth GBR
Voice
None
Fax
None
Information

Identification Image
Spatial Extent
---
Projection System
EPSG:4326
Extension x0
-180.0
Extension x1
180.0
Extension y0
-90.0
Extension y1
90.0
Features

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

https://vliz.be/en/imis?module=dataset&dasid=8228

Spatial Representation Type
grid data is used to represent geographic data
Contact Points

Name
giovanni galli (gig)
email
gig@pml.ac.uk
Position
Marine Ecosystem Modeller
Organization
Plymouth Marine Laboratory (PML)
Location
Plymouth GBR
Voice
None
Fax
None

References

Link Online
/layers/SENEMO_1m_clim_1980-2019_ptrc:geonode:Ptot_Chl_result_depth_int
Metadata Page
/layers/SENEMO_1m_clim_1980-2019_ptrc:geonode:Ptot_Chl_result_depth_int/metadata_detail

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Climatological monthly means from the global hydrodynamic-biogeochemical model NEMO-ERSEM_ hindcast from 1980-2019_ biogeochemical variables - Total Chlorophyll depth integral.jpg
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Climatological monthly means from the global hydrodynamic-biogeochemical model NEMO-ERSEM_ hindcast from 1980-2019_ biogeochemical variables - Total Chlorophyll depth integral.pdf
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Climatological monthly means from the global hydrodynamic-biogeochemical model NEMO-ERSEM_ hindcast from 1980-2019_ biogeochemical variables - Total Chlorophyll depth integral.png
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Climatological monthly means from the global hydrodynamic-biogeochemical model NEMO-ERSEM_ hindcast from 1980-2019_ biogeochemical variables - Total Chlorophyll depth integral.geotiff
Legend
Climatological monthly means from the global hydrodynamic-biogeochemical model NEMO-ERSEM_ hindcast from 1980-2019_ biogeochemical variables - Total Chlorophyll depth integral.png
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Climatological monthly means from the global hydrodynamic-biogeochemical model NEMO-ERSEM_ hindcast from 1980-2019_ biogeochemical variables - Total Chlorophyll depth integral.png
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Climatological monthly means from the global hydrodynamic-biogeochemical model NEMO-ERSEM_ hindcast from 1980-2019_ biogeochemical variables - Total Chlorophyll depth integral.png

OGC WMS: geonode Service
Geoservice OGC:WMS
OGC WCS: geonode Service
Geoservice OGC:WCS
Metadata Author

Name
giovanni galli (gig)
email
gig@pml.ac.uk
Position
Marine Ecosystem Modeller
Organization
Plymouth Marine Laboratory (PML)
Location
Plymouth GBR
Voice
None
Fax
None