HBM-ERGOM western Baltic Sea simulations with tagging of medium resolution atmospheric nitrogen deposition by CMAQ

doi:10.26050/WDCC/MeRamo_exp2

Neumann, Daniel et al.

ExperimentDOI
Summary
A marine physical biogeochemical model simulation was performed for the year 2012 covering the North Sea and Baltic Sea. Only data for the western Baltic Sea are provided here. The model output has been validated in Neumann et al. (2018a, doi: 10.5194/os-2018-71). The work was funded by the German Federal Ministry of Transport and Digital Infrastructure (BMVI, FKZ 50EW1601, https://www.io-warnemuende.de/meramo-en.html). The simulation was performed at the North-German Supercomputing Alliance (HLRN, project id: mvk00054, zulassung.hlrn.de/kurzbeschreibungen/mvk00054.pdf).
The model output data were processed and evaluated on servers provided by the project 'PROSO - Prozesse von Spurenstoffen in der Ostsee' (FKZ 03F0779A).
The model simulation was forced by operational meteorological data of the German Weather Service (DWD). Atmospheric nitrogen deposition data of medium spatial resolution of 16x16 km2 were provided by the Helmholtz-Zentrum Geesthacht within the EU BONUS SHEBA Project (Karl et al., 2019, doi: 10.5194/acp-2018-1317). Information on the riverine inputs, boundary conditions, and the model itself are provided in detail in Neumann et al. (2018b, doi: 10.5194/bg-2018-364).

Nitrogen from atmospheric deposition of shipping-related nitrogen, agricultural-related nitrogen, and total nitrogen has been tagged in the model simulation according to a method by Menésguen et al. (2006, 10.4319/lo.2006.51.1_part_2.0591). Therefore, all nitrogen-containing model variables exist four times in the output: once as regular variables and once per tagged nitrogen source (total, shipping-related, agricultural-related).

The concentrations of all prognostic biogeochemical model variables are given in nitrogen units according to the Redfield ratio.
Project
MeRamo (HBM-ERGOM western Baltic Sea simulations with tagging of atmospheric nitrogen deposition within the MeRamo project)
Contact
Dr. Thomas Neumann (
 thomas.neumann@nullio-warnemuende.de
0000-0002-5653-906X)
Spatial Coverage
Longitude 9.34 to 14.91 Latitude 53.56 to 56.45 Altitude: 0 m to -81.59 m
Temporal Coverage
2012-01-01 to 2012-12-30 (gregorian)
Use constraints
Creative Commons Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
World Data Center for Climate
Size
21.32 GiB (22889939798 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2029-02-20
Cite as
Neumann, Daniel; Karl, Matthias; Radtke, Hagen; Neumann, Thomas (2019). HBM-ERGOM western Baltic Sea simulations with tagging of medium resolution atmospheric nitrogen deposition by CMAQ. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/MeRamo_exp2

BibTeX RIS
Description
SQA - Scientific Quality Assurance Approved by author 2019-02-06; TQA - Technical Quality Assurance 'approved by WDCC' 2019-04-10
Description
There are not gaps in the spatial and temporal coverage. Land grid cells are indicated by missing values (float, -999.0).

Not all prognostic biogeochemical model variables but just amm, nit, ldon, phos, sil, oxy, dia, flag, cyano, zoo, protzoo, detn and dets of the water column and sed_n and sed_sil of the sediment are provided here (please see the readme for the meaning of these abbreviations). The diagnostic variable chl and the grid information variables cell_thinkness, depth, and bathymetry are provided as well. Each nitrogen-containing prognostic and diagnostic variable has three counterparts with the suffixes "_atmos", "_ship", and "_agri" indicating the total atmosheric, shipping-related, and agricultural-related nitrogen, respectively, in this variable.
Description
Summary:
Findable: 6 of 7 level;
Accessible: 2 of 3 level;
Interoperable: 3 of 4 level;
Reusable: 5 of 10 level
Method
F-UJI online v2.2.1 automated
Method Description
Checks performed by WDCC. Metrics documentation: https://doi.org/10.5281/zenodo.4081213 Metric Version: metrics_v0.5
Method Url
Result Date
2022-12-06
Description
Technical Quality Assurance: The number of data sets is checked and not equal 0[ done ]
Technical Quality Assurance: The size of every data set is not equal 0[ done ]
Technical Quality Assurance: The data sets and corresponding metadata are all accessible via internet[ done ]
Technical Quality Assurance: The data size is checked and correct[ done ]
Technical Quality Assurance: The format is verified and correct[ done ]
Technical Quality Assurance: The time description (metadata) and data are consistent[ done ]
Technical Quality Assurance: The variable description and data are consistent[ done ]
Contact typePersonORCIDOrganization
-

Is compiled by

[1] DOI Neumann, Thomas. (2000). Towards a 3D-ecosystem model of the Baltic Sea. doi:10.1016/S0924-7963(00)00030-0
[2] DOI Neumann, Thomas; Fennel, Wolfgang; Kremp, Christine. (2002). Experimental simulations with an ecosystem model of the Baltic Sea: A nutrient load reduction experiment. doi:10.1029/2001gb001450

Cites

[1] DOI Neumann, Daniel; Friedland, René; Karl, Matthias; Radtke, Hagen; Matthias, Volker; Neumann, Thomas. (2018). Importance of high resolution nitrogen deposition data for biogeochemical modeling in the western Baltic Sea and the contribution of the shipping sector . doi:10.5194/os-2018-71
[2] DOI Neumann, Daniel; Karl, Matthias; Radtke, Hagen; Neumann, Thomas. (2018). Evaluation of atmospheric nitrogen inputs into marine ecosystems of the North Sea and Baltic Sea -- part A: validation and time scales of nutrient accumulation. doi:10.5194/bg-2018-364

Is documented by

[1] DOI Neumann, Daniel; Neumann, Thomas. (2018). MeRamo : IOW-Abschlussbericht : Laufzeit des Vorhabens: 01.05.2016-30.04.2018. doi:10.2314/GBV:1662555598
[2] DOI Neumann, Thomas; Schernewski, Gerald. (2005). An ecological model evaluation of two nutrient abatement strategies for the Baltic Sea. doi:10.1016/j.jmarsys.2004.10.002
[3] DOI Poulsen, Jacob Weismann; Berg, Per; Raman, Karthik. (2015). Better Concurrency and SIMD on HBM. doi:10.1016/b978-0-12-802118-7.00003-0
[4] Brüning, T.; Janssen, F.; Kleine, E.; Komo, H.; Maßmann, S.; Menzenhauer-Schumacher, I.; Jandt, S.; Dick, S. (2014). Operational Ocean Forecasting for German Coastal Waters. https://vzb.baw.de/die-kueste/0/k081118.pdf

Attached Datasets ( 1 )

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Additional Info

Details for selected entry
[Entry acronym: MeRamo_exp2] [Entry id: 3843795]