- Physics
- Oceanography
- Hydrodynamics, sediment transport, morphodynamics
- Biogeochemistry and planktonic ecosystem dynamics
- Numerical Modelling
Dr. Ir. Johan van der Molen
Calculating how humans influence the sea
Oceanographer Johan van der Molen calculates how humans influence the sea. ‘To do that, I simulate the sea using mathematical models. I split the sea surface and the water column into small cubes, and within these cubes, I assign values to things like water levels, flow rates, wave heights and the amount of sediment in the water. Besides these physical characteristics, I also convert biochemical characteristics, such as the quantity of nutrients, into numbers.’
From currents to fish larvae
‘Using models like these, I can for example calculate what happens to eggs released by fish. Currents carry these eggs to another area where they will hatch. Subsequently, the larvae are transported by the water to another area. Similarly, nutrients from rivers or from the depths of the ocean also spread in the water and fuel algal growth, which can then feed fish and other animals.’
Virtual Experiments
‘Although mathematical models are only an approximation of reality, they do provide understanding. In my digital reality, I can carry out “experiments” that could never be done at sea. For example, what happens if you put a large wind farm somewhere, or if you put long ropes in the water to grow seaweed? How does that change the currents and all the other phenomena that depend on them?’
Models in development
‘Models are being developed continuously. Following the many, still relatively small offshore wind parks that have been built, there are now plans to generate solar energy at sea. Thus, we have to adapt the models to answer new questions. Of course, that is absolutely worth the effort. After all, we want to stay ahead of the game when making radical changes at sea. Models allow us to look into the future and can warn us about the effects of our actions.’
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Research interests
I started at NIOZ as Senior Scientist in Coastal and Biophysical Oceanography in September 2017 after working at Cefas, a governmental research laboratory in Lowestoft, UK for 13 years. At Cefas, I created hydrodynamical model setups for GETM, restructured and extended the particle tracking model for GETM, developed a suspended sediment model for the coupled physical-biogeochemical model GETM-ERSEM, and contributed to the development of ERSEM. I applied these models to address scientific and managerial questions. I also gave scientific guidance to a team of numerical modellers. Before that, I worked as a post-doc at IMAU, Utrecht University on sediment transport and morphodynamics, and as visiting research fellow at Manchester Metropolitan University on wave-induced sediment resuspension.
My research interests are in modelling physical and biological material transport, biogeochemistry and ecosystem dynamics in shelf seas, in response to natural and anthropogenic influences.
Functions
2011-2017: Principal Ecosystem Modeller (Cefas). Scientific project development and coordination, model development and application
2008–2011: Senior Ecosystem Modeller (Cefas). Managing Cefas parallel computing cluster, model development and application
2004–2008: Modeller/Oceanographer (Cefas). Development and application of hydrodynamics, sediment transport, Individual Behaviour, and ecosystem models
2003–2004: Research Fellow (Manchester Metropolitan University, The Leverhulme Trust). Development of a morphodynamical model of cross-shore coastal profile evolution
2003–2001: Postdoc (Insitutute for Marine and Atmospheric Research, Utrecht University, The Netherlands). Modelling basin-scale morphodynamics of the North Sea
1996–2001: Postdoc (Netherlands Organisation for Scientific Research, based at IMAU, Utrecht University, The Netherlands). Modelling Holocene hydro-dynamics and sand transport in the North Sea, and relating to the evolution of the Dutch and Belgian coasts
Key-publications
Predicting the consequences of nutrient reduction on the eutrophication status of the North Sea HJ Lenhart, DK Mills, H Baretta-Bekker, SM Van Leeuwen, J der Molen, ... Journal of Marine Systems 81 (1), 148-170.
The influence of tides, wind and waves on the net sand transport in the North Sea J Van der Molen Continental Shelf Research 22 (18), 2739-2762.
Holocene tidal conditions and tide-induced sand transport in the southern North Sea J Van der Molen, HE De Swart Journal of Geophysical Research, Oceans 106, 9339-9362.
Dispersal patterns of the eggs and larvae of spring-spawning fish in the Irish Sea, UK J van der Molen, SI Rogers, JR Ellis, CJ Fox, P McCloghrie Journal of Sea Research 58 (4), 313-330.
Modelling marine ecosystem response to climate change and trawling in the North Sea J van der Molen, JN Aldridge, C Coughlan, ER Parker, D Stephens, ... Biogeochemistry 113 (1-3), 213-236.
Please find my list of publications at the bottom of this webpage or on Google Scholar.
Professional education
1992-1995: Ph.D., Earth Sciences, 04/1997. Thesis: Tides in a salt-marsh. Vrije Universiteit, Amsterdam, The Netherlands
1986-1991: M.Sc, Applied Physics. Thesis: Automatische optimalisatie van de veldhomogeniteit van een NMR spectrometer. Delft University of Tecnology, Delft, The Netherlands
1980-1986: VWO, Han Fortmann College, Heerhugowaard
Awards and prizes
2016: CASE partner, NERC CASE PhD studentship, Increasing understanding of changes in dissolved oxygen concentrations in UK waters (Lead insitute: Plymouth Marine Laboratory)
2014: CASE partner, NERC CASE PhD studentship. Shelf-sea variability: using annually resolved records and bioegeochemical models to identify 'good environmental status' (Lead institute: University of Exeter)
2014: Cefas Principal Investigator, NERC Marine Ecosystems Research Programme, Module 6, Biogeochemical modelling
2013: Cefas Principal Investigator, NERC Shelf Seas Biogeochemistry Programme, Work Package 4: Integrative Modelling for Shelf Seas Biogeochemistry
2003: Visiting Researcher Fellowship grant, The Leverhulme Trust, Dalton Research Institute, Manchester Metropolitan University, Manchester, UK
2001: Large-scale morphodynamics of shelf seas, NWO, 93 kEuro, IMAU, Utrecht
Committees
2015-2017: Member of the Executive Committee of the National Partnership for Ocean Prediction
From 2014: Deputy President, Ocean Science Division, European Geosciences Union
From 2009: Secretary for Coastal and Shelf Seas, Ocean Science Division, European Geosciences Union
From 2008: Convener Open Session on Coastal and Shelf Seas, EGU annual assemblies
From 2006: Member organising group OSPAR International Correspondence Group for Ecosystem Modelling (ICG-EMO)
Poster
Linked news
NIOZ publications
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2024
Maathuis, M.A.M; Couperus, B.; van der Molen, J.; Poos, J.J.; Tulp, I.; Sakinan, S. (2024). Resolving the variability in habitat use by juvenile small pelagic fish in a major tidal system by continuous echosounder measurements. Mar. Ecol. Prog. Ser. 741: 169-187. https://dx.doi.org/10.3354/meps14368Moradi, M.; Arabi, B.; Hommersom, A.; van der Molen, J.; Samimi, C. (2024). Quality control tests for automated above-water hyperspectral measurements: Radiative Transfer assessment. Isprs Journal of Photogrammetry and Remote Sensing 215: 292-312. https://dx.doi.org/10.1016/j.isprsjprs.2024.07.011van der Veer, H.W.; Witte, H.; Flege, P.; van der Molen, J.; Poiesz, S.S.H. (2024). Spatial and temporal variability in larval connectivity of North Sea plaice Pleuronectes platessa between spawning grounds and coastal European nurseries. Mar. Ecol. Prog. Ser. 733: 111-127. https://dx.doi.org/10.3354/meps14552
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2023
Brandao, I.L.S.; van der Molen, J.; van der Wal, D. (2023). Effects of offshore wind farms on suspended particulate matter derived from satellite remote sensing. Sci. Total Environ. 866: 161114. https://dx.doi.org/10.1016/j.scitotenv.2022.161114van Leeuwen, S.M.; Lenhart, H.-J.; Prins, T.C.; Blauw, A.N.; Desmit, X.; Fernand, L.; Friedland, R.; Kerimoglu, O.; Lacroix, G.; van der Linden, A.; Lefebvre, A.; van der Molen, J.; Plus, M.; Ruvalcaba Baroni, I.; Silva, T.H.; Stegert, C.; Troost, T.A.; Vilmin, L. (2023). Deriving pre-eutrophic conditions from an ensemble model approach for the North-West European seas. Front. Mar. Sci. 10: 1129951. https://dx.doi.org/10.3389/fmars.2023.1129951
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2022
van der Molen, J.; Groeskamp, S.; Maas, L.R.M. (2022). Imminent reversal of the residual flow through the Marsdiep tidal inlet into the Dutch Wadden Sea based on multiyear ferry-borne acoustic Doppler current profiler (ADCP) observations. Ocean Sci. 18(6): 1805-1816. https://dx.doi.org/10.5194/os-18-1805-2022van der Molen, J.; Pätsch, J. (2022). An overview of Atlantic forcing of the North Sea with focus on oceanography and biogeochemistry. J. Sea Res. 189: 102281. https://dx.doi.org/10.1016/j.seares.2022.102281
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2021
Foekema, E.; van der Molen, J.; Asjes, A.; Bijleveld, A.; Brasseur, S.; Camphuysen, K. (C.J.); Van Franeker, J.A.; Holthuijsen, S.; Kentie, R.; Kühn, S.; Leopold, M.; Kleine Schaars, L.; Lok, T.; Niemann, H.; Schop, J. (2021). Ecologische effecten van het incident met de MSC Zoe op het Nederlandse Waddengebied, met focus op microplastics. NIOZ-rapport, 2021(03). NIOZ Royal Netherlands Institute for Sea Research: Texel. 98 pp. https://doi.org/10.25850/nioz/7b.b.mbLenhart, H.; Blauw, A.; Desmit, X.; Fernand, L.; Friedland, R.; Heyden, B.; Kerimoglu, O.; Lacroix, G.; Van der Linden, J.; van der Molen, J.; Plus, M.; Prins, T.; Ruvalcaba, J.L.; Stegert, C.; Thewes, D.; Troost, T.; Vilmin, L.M.; van Leeuwen, S. (2022). ICG-EMO report on model comparison for historical scenarios as basis to derive new threshold values. ICG: [s.l.].van der Molen, J.; Soetaert, K. (2021). Potential ecosystem effects of large upscaling of offshore wind in the North Sea: Recommendations for further work. NIOZ-rapport, 2021(02). NIOZ Royal Netherlands Institute for Sea Research: Texel. 13 pp.van der Molen, J.; van Leeuwen, S.M.; Govers, L.L.; van der Heide, T.; Olff, H. (2021). Potential micro-plastics dispersal and accumulation in the North Sea, with application to the MSC Zoe incident. Front. Mar. Sci. 8: 607203. https://doi.org/10.3389/fmars.2021.607203van Duren, L.A.; Zijl, F.; van Kessel, T.; van Zelst, V.T.M.; Vilmin, L.M.; van der Meer, J.; Aarts, G.M; van der Molen, J.; Soetaert, K.; Minns, A.W. (2021). Ecosystem effects of large upscaling of offshore wind on the North Sea - Synthesis report. Deltares: [s.l.]. 42 pp.
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2020
Karpouzoglou, T.; Vlaswinkel, B.; van der Molen, J. (2020). Effects of large-scale floating (solar photovoltaic) platforms on hydrodynamics and primary production in a coastal sea from a water column model. Ocean Sci. 16: 195-208. https://dx.doi.org/10.5194/os-16-195-2020Legge, O.; Johnson, M.; Hicks, N.; Jickells, T.; Diesing, M.; Aldridge, J.; Andrews, J.; Artioli, Y.; Bakker, D.C.E.; Burrows, M.T.; Carr, N.; Cripps, G.; Felgate, S.L.; Fernand., L.; Greenwood, N.; Hartman, S.; Kröger, S.; Lessin, G.; Mahaffey, C.; Mayor, D.J.; Parker, R.; Queirós, A.M.; Shutler, J.D.; Silva, T.; Stahl, H.; Tinker, J.; Underwood, G.J.C.; van der Molen, J.; Wakelin, S.; Weston, K.; Williamson, P. (2020). Carbon on the northwest European shelf: Contemporary budget and future influences. Front. Mar. Sci. 7(article 143). https://dx.doi.org/10.3389/fmars.2020.00143Luisetti, T.; Ferrini, S.; Grilli, G.; Jickells, T.D.; Kennedy, H.; Kröger, S.; Lorenzoni, I.; Milligan, B.; van der Molen, J.; Parker, R.; Pryce, T.; Turner, R.K.; Tyllianakis, E. (2020). Climate action requires new accounting guidance and governance frameworks to manage carbon in shelf seas. Nature Comm. 11: 4599. https://dx.doi.org/10.1038/s41467-020-18242-wPhilippart, C.J.M.; Dethmers, K.E.M.; van der Molen, J.; Seinen, A. (2020). Ecological engineering for the optimisation of the land-based marine aquaculture of coastal shellfish. International Journal of Environmental Research and Public Health 17(19): 7224. https://dx.doi.org/10.3390/ijerph17197224Tidbury, Hannah; Taylor, Nick; van der Molen, J.; Garcia, Luz; Posen, Paulette; Gill, Andrew; Lincoln, S.; Judd, A.; Hyder, K. (2020). Social network analysis as a tool for marine spatial planning: Impacts of decommissioning on connectivity in the North Sea. J. Appl. Ecol. 57(3): 566-577. https://dx.doi.org/10.1111/1365-2664.13551
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2019
García-García, L.M.; Sivyer, D.; Devlin, M.; Painting, S.; Collingridge, K.; van der Molen, J. (2019). Optimizing monitoring programs: a case study based on the OSPAR eutrophication assessment for UK waters. Front. Mar. Sci. 5: 503. https://doi.org/10.3389/fmars.2018.00503
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2018
Beraud, C.; van der Molen, J.; Armstrong, M.; Hunter, E.; Fonseca, L.; Hyder, K. (2018). The influence of oceanographic conditions and larval behaviour on settlement success—the European sea bass Dicentrarchus labrax (L.). ICES J. Mar. Sci./J. Cons. int. Explor. Mer 75(2): 455–470. https://dx.doi.org/10.1093/icesjms/fsx195van der Molen, J.; García-García; Whomersley, P.; Callaway, A.; Posen, P.E.; Hyder, K. (2018). Connectivity of larval stages of sedentary marine communities between hard substrates and offshore structures in the North Sea. NPG Scientific Reports 8: 14772. https://dx.doi.org/10.1038/s41598-018-32912-2van der Molen, J.; Ruardij, P.; Mooney, K.; Kerrison, P.; O'Connor, N.E.; Gorman, E.; Timmermans, K.; Wright, S.; Kelly, M.; Hughes, A.D.; Capuzzo (2018). Modelling potential production of macroalgae farms in UK and Dutch coastal waters. Biogeosciences 15(4): 1123-1147. https://dx.doi.org/10.5194/bg-15-1123-2018Whomersley, P.; van der Molen, J.; Holt, D.; Trundle, C.; Clark, S.; Fletcher, D. (2018). Modeling the dispersal of spiny lobster (Palinurus elephas) larvae: Implications for future fisheries management and conservation measures. Front. Mar. Sci. 5: 58. https://dx.doi.org/10.3389/fmars.2018.00058
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2017
Ford, D.A.; van der Molen, J.; Hyder, K.; Bacon, J.; Barciela, R.; Creach, V.; McEwan, R.; Ruardij, P.; Forster, R. (2017). Observing and modelling phytoplankton community structure in the North Sea. Biogeosciences 14(6): 1419-1444. https://dx.doi.org/10.5194/bg-14-1419-2017Townhill, B.L.; van der Molen, J.; Metcalfe, J.D.; Simpson, S.D.; Farcas, A.; Pinnegar, J.K. (2017). Consequences of climate-induced low oxygen conditions for commercially important fish. Mar. Ecol. Prog. Ser. 580: 191-204. https://dx.doi.org/10.3354/meps12291van der Molen, J.; Ruardij, P.; Greenwood, N. (2017). A 3D SPM model for biogeochemical modelling, with application to the northwest European continental shelf. J. Sea Res. 127: 63-81. https://dx.doi.org/10.1016/j.seares.2016.12.003
Linked projects
