Dr. Shubham Krishna


Dr. Shubham Krishna

Ecosystem Modelling


Phone: +49 (0)4152 87-1558

E-mail contact

• 3D modelling of the effects of multiple stressors (climate and anthropogenic) on pelagic food web dynamics in coastal ocean

• Trait-based approaches of plankton modelling for marine ecosystems

• 1D modelling of lake ecosystem dynamics

• Data assimilation, model parameter optimization and skill assessment

• 0D modelling of mesocosm experiments on ocean acidification

• Modelling of aggregation processes (marine and lake snow) in aquatic ecosystems


Since June 2021: Scientist at the Institute of Coastal Systems - Analysis and Modeling, Helmholtz Center HEREON, Geesthacht, Germany
April 2018 – May 2021: Scientist at APHYS, Institute of Environment Engineering, Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland
February 2018 – March 2018: Researcher at Helmholtz Center for Ocean Research (GEOMAR), Kiel, Germany
May 2013 – January 2018:PhD Researcher at Helmholtz Center for Ocean Research (GEOMAR), Kiel, Germany


February 2011 – February 2013: Software programmer at Kayser-Threde GmbH (a sister firm of European Space Agency), Munich, Germany


October 2010 – February 2013: Master of Science in Geophysics (Msc) from Ludwig Maximillians University (LMU), Munich, Germany
July 2005 – July 2009: Bachelors of Technology (B.Tech) in Bioinformatics from DY Patil University, Pune, India


October 2018 – May 2021: Ecosystem modelling module in the Limnology course at EPFL, Lausanne, Switzerland

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ORCID ID:0000-0001-8311-1280
  • Krishna, S., Ulloa, H.N., Barbe, E., & Wüest, A. (2023): Disentangling the effects of climate change and reoligotrophication on primary production in a large lake. Aquat Sci 85, 16 (2023), doi:10.1007/s00027-022-00910-2
  • Krishna, S., Ulloa, H. N., Kerimoglu, O., Minaudo, C., Anneville, O., & Wüest, A. (2021). Model-based data analysis of the effect of winter mixing on primary production in a lake under reoligotrophication. Ecological Modelling, 440, 109401.
  • Fernández Castro, B., Chmiel, H. E., Minaudo, C., Krishna, S., Perolo, P., Rasconi, S., & Wüest, A. (2021). Primary and net ecosystem production in a large lake diagnosed from high‐resolution oxygen measurements. Water Resources Research, 57(5), e2020WR029283.
  • Krishna, S., Pahlow, M., & Schartau, M. (2019). Comparison of two carbon-nitrogen regulatory models calibrated with mesocosm data. Ecological Modelling, 411, 108711.
  • Krishna, S. (2018). Model assessment and model-based data analyses of an ocean acidification mesocosm experiment(Doctoral dissertation, Christian-Albrechts Universität Kiel).
  • Krishna, S., & Schartau, M. (2017). A data–model synthesis to explain variability in calcification observed during a CO 2 perturbation mesocosm experiment. Biogeosciences, 14(7), 1857-1882.
  • Schartau, M., Wallhead, P., Hemmings, J., Löptien, U., Kriest, I., Krishna, S., ... & Oschlies, A. (2017). Reviews and syntheses: parameter identification in marine planktonic ecosystem modelling. Biogeosciences, 14(6), 1647-1701.