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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

  • INSPIRE
  • SDS

INSPIRE

Identification

File identifier
wdc-climate.de:3873384 XML
Hierarchy level
collection
Online resource
Resource identifier
code

MOMERGOMBSWRMFTRU_3873384

code

doi:10.26050/WDCC/MOMERGOMBSWRMFTRU_3873384

Metadata language

eng; USA

Encoding
Format

NetCDF

Projection
 

Classification of data and services

Coupled resource

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
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Temporal reference

Temporal extent
Begin
1995-01-01
End
2014-12-31
Temporal extent
Date (Publication)
2019-11-26
 

Conformity

Conformity
Conformity
 

Conformity

Conformity
Conformity
 

Responsible organization (s)

Contact for the resource
Organisation name

Leibniz-Institut für Ostseeforschung Warnemünde

 

Responsible organization (s)

Contact for the resource
Organisation name

Leibniz-Institut für Ostseeforschung Warnemünde

 

Metadata information

Contact for the metadata
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

Access Point URL
Endpoint URL
Technical specification
 

Conformance class 2: interoperable

Quality of Service

Name of measure

n/a

Measure description

None

 

Access constraints

Limitation
 

Use constraints

Limitation
 

Responsible custodian

Contact for the resource
 
 
 

Overviews

Spatial extent

N
S
E
W
thumbnail


Keywords


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