MOSSCO Southern North Sea Long-term bentho-pelagic ecosystem simulation 1961-2012

Wirtz, Kai W.; Hofmeister, Richard; Klingbeil, Knut; Lemmen, Carsten

MOSSCO Southern North Sea Long-term bentho-pelagic ecosystem simulation 1961-2012

doi:10.26050/WDCC/MOSSCO_sim1961-2012

Wirtz, Kai W. et al.

ExperimentDOI

Bentho-pelagic coupling GETM MAECS Modular coupling MOSSCO North Sea OMEXDIA Regional simulation

Summary: Regional coupled ecosystem simulation of the Southern North Sea with the fully coupled Modular System for Shelves and Coasts (MOSSCO v1.0.2), an application layer of the Earth System Modeling Framework (ESMF). Here, we couple (1) the General Estuarine Transport Model (GETM) hydrodynamics and local waves with (2) the Model for Adaptive ECoSystems (MAECS) in the pelagic through the Framework for Aquatic Biogeochemical Models (FABM), and (3) the Ocean Margin Experiment Diagenesis (OMExDia) with added phosphorous cycle in the benthic through FABM.

Forcing and boundary conditions are provided by (1) zero-gradient open boundary dissolved and particulate nutrients from a North Atlantic shelf simulation with the Ecosystem Model Hamburg (ECOHAM), (2) astronomical forcing of tides as boundary sea surface elevation, (3) surface winds from the CoastDat2 Climate Limited Area (CLM) hindcast, (4) sediment porosity from the North Sea Observation and Assessment of Habitats (NOAH) atlas, and (5) river fluxes and nutrient loads from the Hereon River database.

The simulation covers the period 1 Feb 1960 to 31 Jan 2013, where the first year 1960 should be considered spin-up, such that analysis should be performed on complete production years 1961 to 2012. The simulation is performed on a curvilinear grid of the Southern North Sea, represented by a 98 x 139 logically rectangular grid, with varying spatial resolution of 3.7-66 sqkm per grid cell, and highest resolution in the Elbe Estuary. Vertical resolution is 20 layers in the pelagic on terrain-following sigma coordinates, and 15 z-levels resolving the ocean floor down to 20 cm. The output format is netCDF in the Climate and Forecast (CF) convention as much as possible. Complete three-dimensional data are available at 36-hour intervals.

The coupled model system and the model setup are described in detail in Lemmen et al. (2018). Validations of the ecosystem coupling were performed, amongst others by Wirtz (2019, also describing the ecosystem model) and Slavik et al. (2019) using the same setup. Coupling to sediment processes is described by Nasermoaddeli et al. (2018) and to bentho-pelagic filtration by Lemmen (2018). The results specific to this long-term simulation have already been used by Xu et al. (2022). The model system and all of its components are available as free and open source and available from https://codebase.helmholtz.cloud/mossco/code.
Project: MOSSCO (Modular System for Shelves and Coasts)
Contact: Dr. Carsten Lemmen (
carsten.lemmen@nullhereon.de
0000-0003-3483-6036)
Location(s): Southern North Sea
Spatial Coverage: Longitude -1.1 to 8.76 Latitude 51 to 55.64
Temporal Coverage: 1960-02-01 to 2013-01-31 (calendrical)
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: 554.85 GiB (595767833848 Byte)
Format: NetCDF
Status: completely archived
Creation Date: 2024-01-31
Future Review Date: 2034-02-02

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Cite as: Wirtz, Kai W.; Hofmeister, Richard; Klingbeil, Knut; Lemmen, Carsten (2024). MOSSCO Southern North Sea Long-term bentho-pelagic ecosystem simulation 1961-2012. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/MOSSCO_sim1961-2012

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Funding: Federal Ministry of Education and Research
Grant/Award No: 03F0740A - Modular System for Shelves and Coasts (MOSSCO)

FAIR

F-UJI result: total 66 %

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 v3.1.0 automated
Method Description: Checks performed by WDCC. Metrics documentation: https://doi.org/10.5281/zenodo.6461229 Metric Version: metrics_v0.5
Result Date: 2024-03-01

Scientific Quality Assurance (SQA)

SQA - Scientific Quality Assurance 'approved by author'

Result Date: 2024-02-28

Technical Quality Assurance (TQA)

TQA - Technical Quality Assurance 'approved by WDCC'

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 spatial-temporal coverage description (metadata) is consistent to the data, time steps are correct and the time coordinate is continuous: passed;
6. The format is correct: passed;
7. Variable description and data are consistent: samples 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: https://www.wdc-climate.de/docs/WDCC_User_Guide_Data_v1.pdf
Result Date: 2024-02-28

Contact type	Person	ORCID	Organization
Contact	Dr. Carsten Lemmen	0000-0003-3483-6036	Helmholtz-Zentrum Hereon
Author	Prof. Kai W. Wirtz	0000-0002-6972-3878	Helmholtz-Zentrum Hereon
Author	Dr. Richard Hofmeister	-	Helmholtz-Zentrum Hereon
Author	Dr. Knut Klingbeil	0000-0002-6736-1260	Leibniz-Institut für Ostseeforschung Warnemünde
Author	Dr. Carsten Lemmen	0000-0003-3483-6036	Helmholtz-Zentrum Hereon
Investigator	Prof. Kai W. Wirtz	0000-0002-6972-3878	Helmholtz-Zentrum Hereon
Funder	-	-	Federal Ministry of Education and Research

Is documented by

[1] DOI Slavik, Kaela; Lemmen, Carsten; Zhang, Wenyan; Kerimoglu, Onur; Klingbeil, Knut; Wirtz, Kai W. (2018). The large-scale impact of offshore wind farm structures on pelagic primary productivity in the southern North Sea. doi:10.1007/s10750-018-3653-5

[2] DOI Wirtz, Kai W. (2019). Physics or biology? Persistent chlorophyll accumulation in a shallow coastal sea explained by pathogens and carnivorous grazing. doi:10.1371/journal.pone.0212143

[3] DOI Lemmen, Carsten. (2018). North Sea Ecosystem-Scale Model-Based Quantification of Net Primary Productivity Changes by the Benthic Filter Feeder Mytilus edulis. doi:10.3390/w10111527

[4] DOI Nasermoaddeli, M.H.; Lemmen, C.; Stigge, G.; Kerimoglu, O.; Burchard, H.; Klingbeil, K.; Hofmeister, R.; Kreus, M.; Wirtz, K.W.; Kösters, F. (2018). A model study on the large-scale effect of macrofauna on the suspended sediment concentration in a shallow shelf sea. doi:10.1016/j.ecss.2017.11.002

[5] DOI Xu, Xu; Lemmen, Carsten; Wirtz, Kai W. (2020). Less Nutrients but More Phytoplankton: Long-Term Ecosystem Dynamics of the Southern North Sea. doi:10.3389/fmars.2020.00662

[6] DOI Große, Fabian; Greenwood, Naomi; Kreus, Markus; Lenhart, Hermann-Josef; Machoczek, Detlev; Pätsch, Johannes; Salt, Lesley; Thomas, Helmuth. (2016). Looking beyond stratification: a model-based analysis of the biological drivers of oxygen deficiency in the North Sea. doi:10.5194/bg-13-2511-2016

[7] DOI Kerimoglu, Onur; Hofmeister, Richard; Maerz, Joeran; Riethmüller, Rolf; Wirtz, Kai W. (2017). The acclimative biogeochemical model of the southern North Sea. doi:10.5194/bg-14-4499-2017

[8] DOI Umlauf, Lars; Burchard, Hans. (2005). Second-order turbulence closure models for geophysical boundary layers. A review of recent work. doi:10.1016/j.csr.2004.08.004

[9] DOI Klingbeil, Knut; Burchard, Hans. (2013). Implementation of a direct nonhydrostatic pressure gradient discretisation into a layered ocean model. doi:10.1016/j.ocemod.2013.02.002

[10] DOI Bruggeman, Jorn; Bolding, Karsten. (2014). A general framework for aquatic biogeochemical models. doi:10.1016/j.envsoft.2014.04.002

[11] DOI Soetaert, Karline; Herman, Peter M.J.; Middelburg, Jack J. (1996). A model of early diagenetic processes from the shelf to abyssal depths. doi:10.1016/0016-7037(96)00013-0

[12] DOI Theurich, Gerhard; DeLuca, C.; Campbell, T.; Liu, F.; Saint, K.; Vertenstein, M.; Chen, J.; Oehmke, R.; Doyle, J.; Whitcomb, T.; Wallcraft, A.; Iredell, M.; Black, T.; Da Silva, A. M.; Clune, T.; Ferraro, R.; Li, P.; Kelley, M.; Aleinov, I.; Balaji, V.; Zadeh, N.; Jacob, R.; Kirtman, B.; Giraldo, F.; McCarren, D.; Sandgathe, S.; Peckham, S.; Dunlap, R. (2016). The Earth System Prediction Suite: Toward a Coordinated U.S. Modeling Capability. doi:10.1175/bams-d-14-00164.1

Is compiled by

[1] DOI Lemmen, Carsten; Hofmeister, Richard; Klingbeil, Knut; Nasermoaddeli, M. Hassan; Kerimoglu, Onur; Burchard, Hans; Kösters, Frank; Wirtz, Kai W. (2018). Modular System for Shelves and Coasts (MOSSCO v1.0) – a flexible and multi-component framework for coupled coastal ocean ecosystem modelling. doi:10.5194/gmd-11-915-2018

[2] DOI Lemmen, Carsten; Klingbeil, Knut; Hofmeister, Richard. (2018). MOSSCO 1.0.2 "decadal reference run" (MOSSCO_1_0_2). doi:10.5281/zenodo.2527238

[3] DOI Lemmen, Carsten. (2020). platipodium/sns_1960-2014: Public configuration files as as supplement to Xu et al. 2020 (1.01). doi:10.5281/zenodo.3688217

[4] mossco-code. (2024). https://codebase.helmholtz.cloud/mossco/code

Is derived from

[1] DOI Geyer, B. (2014). High-resolution atmospheric reconstruction for Europe 1948–2012: coastDat2. doi:10.5194/essd-6-147-2014

[2] Emeis, Kay-Christian Emeis; Bockelmann, Frank; Winter, Christian; Borckmeyer, Berit; Kröncke, Ingrid; Kraus, Gerd, Dieckmann, Rabea, Möllmann, Christian; Witt, Gesine. (2017). NOAH North Sea Observation and Assessment of Habitats – Synthese Zwischenbericht 01.04. – 31.12.2016. https://www.noah-project.de/imperia/md/content/noah/noah_verbund__03f0742__zwischenbericht_2017-final-30-04-17.pdf

[3] Eisele, Annika; Kerimoglu, Onur. (2015). MOSSCO River data basis – Riverine Nutrient inputs; Focus: Large rivers entering the North Sea. https://www.hereon.de/institutes/coastal_systems_analysis_modeling/ecosystem_modelling/topics/riverine_nutrient_inputs/index.php.de

Attached Datasets ( 3 )

Parent project(s)

Modular System for Shelves and Coasts

[Entry acronym: MOSSCO_sim1961-2012] [Entry id: 5274940]