HBM-ERGOM western Baltic Sea simulations with tagging of atmospheric nitrogen deposition by EMEP

doi:10.26050/WDCC/MeRamo_exp3

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 50x50 km2 spatial resolution were taken from the 2016 reporting of the European Measurement and Evaluation Programme (EMEP) as presented in EMEP (2016, url: http://emep.int/publ/reports/2016/EMEP_Status_Report_1_2016.pdf) and available from the Norwegian Meteorological Institute (2016, http://thredds.met.no/thredds/catalog/data/EMEP/2016_Reporting/catalog.html). 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).

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
10.20 GiB (10953777067 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 atmospheric nitrogen deposition by EMEP. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/MeRamo_exp3

BibTeX RIS
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.
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
Result Date
2019-02-06
Description
1. Number of data sets is correct and > 0: passed;
2. Size of every data set is > 0: passed;
3. The data sets and corresponding metadata are accessible: passed;
4. The data sizes are controlled and correct: passed;
5. The temporal coverage description (metadata) is consistent to the data: passed;
6. The format is correct: passed;
7. Variable description and data are consistent: passed
Method
WDCC-TQA checklist
Method Description
Checks performed by WDCC. The list of TQA metrics are documented in the 'WDCC User Guide for Data Publication' Chapter 8.1.1
Method Url
Result Date
2019-04-10
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] EMEP. (2016). EMEP Status Report 1/2016 "Transboundary particulate matter, photo-oxidants, acidifying and eutrophying components". http://emep.int/publ/reports/2016/EMEP_Status_Report_1_2016.pdf
[3] Norwegian Meteorological institute. (2016). EMEP MSC-W modelled air concentrations and depositions 2016. https://thredds.met.no/thredds/catalog/data/EMEP/2016_Reporting/catalog.html

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

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Additional Info

Details for selected entry
[Entry acronym: MeRamo_exp3] [Entry id: 3843796]