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  MOM-ERGOM western Baltic Sea simulations with tagging of phosphorus inputs of the Warnow River, MFTR scenario, v04 Unterwarnow turnover

A marine physical biogeochemical model simulation was performed with the model MOM-ERGOM for the years 1995 to 2014 covering the Baltic Sea. Previously, MOM-ERGOM had been initialized for several decades without tagging until 1984 and, then, from 1985 to 1994 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). The model simulation was forced by coastDat2 COSMO-CLM data (doi:10.1594/WDCC/coastDat-2_COSMO-CLM). Riverine phosphorus input of the Warnow River was calculated with the Soil & Water Assessment Tool (SWAT; Bauwe et al., 2019, doi:10.1016/j.ecohyd.2019.03.003). Phosphorus from the Warnow River 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 phosphorus-containing model variables exist twice in the output: once as regular variables and once as tagged variable.

The phosphorus input by the Warnow River based on real phosphorus release patterns and real atmospheric conditions was calculated and a Maximum Technical Feasible Reduction (MTFR) approach was applied (PhosWaM SWAT case "35"). The turnover of phosphorus compounds in the Unterwarnow was calculated based on the "Unterwarnow turnover estimation v04" (see final project report of PhosWaM for details).

The simulation was performed at the North-German Supercomputing Alliance (HLRN). 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

 
Citation proposal
(2019) . MOM-ERGOM western Baltic Sea simulations with tagging of phosphorus inputs of the Warnow River, MFTR scenario, v04 Unterwarnow turnover. https://gdk.gdi-de.org/geonetwork/srv/api/records/wdc-climate.de:3873384
 
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File identifier
wdc-climate.de:3873384   XML
Hierarchy level
collection collection
Online resource
Resource identifier
code
MOMERGOMBSWRMFTRU_3873384
code
doi:10.26050/WDCC/MOMERGOMBSWRMFTRU_3873384
Metadata language
eng; USA
Encoding
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NetCDF
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Classification of data and services

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Coupled resource
 
 

Classification of data and services

Coupled resource
Coupled resource
 
 

Keywords

Other keywords
Keywords
  • Biogeochemical Cycle
Keywords
  • ERGOM
Keywords
  • MOM
Keywords
  • ocean simulation
 
 

Geographic coverage

N
S
E
W


 

Temporal reference

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Temporal extent
Date ( Publication )
2019-11-26
 

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Conformity
 

Conformity

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Conformity
 

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Responsible organization (s)

Contact for the resource
Organisation name
Leibniz-Institut für Ostseeforschung Warnemünde
 

Responsible organization (s)

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Organisation name
Leibniz-Institut für Ostseeforschung Warnemünde
 

Metadata information

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Organisation name
Deutsches Klimarechenzentrum
Organisation name
Leibniz-Institut für Ostseeforschung Warnemünde
Date stamp
2019-07-25T13:32:52
Metadata language
eng; USA
 
 

SDS

Conformance class 1: invocable

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Technical specification
 

Conformance class 2: interoperable

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Quality of Service
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n/a
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None
 
Access constraints
Limitation
 
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Limitation
 
Responsible custodian
Contact for the resource
 
 

Conformance class 3: harmonized

 
 

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wdc-climate.de:3873384   Access to the portal Read here the full details and access to the data.

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