MOM-ERGOM with EMEP deposition: DON in sea water

Neumann, Daniel; Radtke, Hagen; Neumann, Thomas

Dataset
Summary
[ Derived from parent entry - See data hierarchy tab ]

A marine physical biogeochemical model simulation was performed with the model MOM-ERGOM for the years 2003 to 2014 covering the Baltic Sea. Previously, MOM-ERGOM had been initialized for several decades without tagging until 1999 and, then, from 2000 to 2002 with tagging (see below). The model output has been validated with measurement data of the "IOW Baltic Monitoring and long-term data program" (https://www.io-warnemuende.de/iowdb.html IOW: Leibniz Institute for Baltic Sea Research Warnemünde) and from the HELCOM database which, now, is part of the ICES Oceanography Data Portal (https://www.ices.dk/data/data-portals/Pages/ocean.aspx; HELCOM: Helsinki Commissionm; ICES: International Council for the Exploration of the Seas). A publication is in preparation.
The model simulation was forced by coastDat2 COSMO-CLM data (doi:10.1594/WDCC/coastDat-2_COSMO-CLM). Atmospheric nitrogen deposition data of 0.1° x 0.1° spatial resolution were taken from the 2018 reporting of the European Measurement and Evaluation Programme (EMEP) as presented in EMEP (2018, url: http://emep.int/publ/reports/2018/EMEP_Status_Report_1_2018.pdf) and available from the Norwegian Meteorological Institute (2018, url: http://thredds.met.no/thredds/catalog/data/EMEP/2018_Reporting/catalog.html).

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

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).

Technical details:
model run on MPP1 Cluster of the HLRN-III Konrad Comlpex
each simulation performed on 527 cores distributed on 22 nodes (24 cores per node; one core on one node not used) configuration of one node:
Processor: 2x Intel Xeon E5-2695v2 CPUs (12 cores per CPU), R_peak: 230 GFlop/s
RAM: 64 GiB DDR3-1866
OS: SuSE Linux Enterprise Server (SLES) version 11
Interconnect: Cray Aries
Project
MeRamo (HBM-ERGOM western Baltic Sea simulations with tagging of atmospheric nitrogen deposition within the MeRamo project)
Additional Information
QMM Level of doi:10.26050/WDCC/MOMERGOMBSEMEP
ERGOM Documentation for "MOM-ERGOM western Baltic Sea simulations with tagging of atmospheric nitrogen deposition by EMEP"
readme_emep.pdf
accuracy_report_emep.pdf
model_data_methodology_report_emep.pdf
Spatial Coverage
Longitude 8.23 to 30.63 Latitude 53.83 to 65.93 Altitude: 0 m to -268 m
Temporal Coverage
2003-01-01 to 2014-12-31 (julian)
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
Access constraints
registered users
Size
368.87 MiB (386791179 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2029-08-16
Download Permission
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Cite as
[ Derived from parent entry - See data hierarchy tab ]
Neumann, Daniel; Radtke, Hagen; Neumann, Thomas (2019). MOM-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/MOMERGOMBSEMEP

BibTeX RIS
VariableAggregationUnit
mole_concentration_of_dissolved_organic_nitrogen_in_sea_waterCF
monthly meanmol m-3

Parent

MOM-ERGOM western Baltic Sea simulations with tagging of atmospheric nitrogen deposition by EMEP
Details
[Entry acronym: EMEP_t_don] [Entry id: 3874912]