Articles | Volume 10, issue 1
Geosci. Model Dev., 10, 127–154, 2017
https://doi.org/10.5194/gmd-10-127-2017

Special issue: The Transport Matrix Method (TMM) for ocean biogeochemical...

Geosci. Model Dev., 10, 127–154, 2017
https://doi.org/10.5194/gmd-10-127-2017
Methods for assessment of models
09 Jan 2017
Methods for assessment of models | 09 Jan 2017

Calibrating a global three-dimensional biogeochemical ocean model (MOPS-1.0)

Iris Kriest et al.

Related authors

FOCI-MOPS v1 – integration of marine biogeochemistry within the Flexible Ocean and Climate Infrastructure version 1 (FOCI 1) Earth system model
Chia-Te Chien, Jonathan V. Durgadoo, Dana Ehlert, Ivy Frenger, David P. Keller, Wolfgang Koeve, Iris Kriest, Angela Landolfi, Lavinia Patara, Sebastian Wahl, and Andreas Oschlies
Geosci. Model Dev., 15, 5987–6024, https://doi.org/10.5194/gmd-15-5987-2022,https://doi.org/10.5194/gmd-15-5987-2022, 2022
Short summary
A derivative-free optimisation method for global ocean biogeochemical models
Sophy Oliver, Coralia Cartis, Iris Kriest, Simon F. B Tett, and Samar Khatiwala
Geosci. Model Dev., 15, 3537–3554, https://doi.org/10.5194/gmd-15-3537-2022,https://doi.org/10.5194/gmd-15-3537-2022, 2022
Short summary
Zooplankton mortality effects on the plankton community of the northern Humboldt Current System: sensitivity of a regional biogeochemical model
Mariana Hill Cruz, Iris Kriest, Yonss Saranga José, Rainer Kiko, Helena Hauss, and Andreas Oschlies
Biogeosciences, 18, 2891–2916, https://doi.org/10.5194/bg-18-2891-2021,https://doi.org/10.5194/bg-18-2891-2021, 2021
Short summary
One size fits all? Calibrating an ocean biogeochemistry model for different circulations
Iris Kriest, Paul Kähler, Wolfgang Koeve, Karin Kvale, Volkmar Sauerland, and Andreas Oschlies
Biogeosciences, 17, 3057–3082, https://doi.org/10.5194/bg-17-3057-2020,https://doi.org/10.5194/bg-17-3057-2020, 2020
Short summary
The effect of marine aggregate parameterisations on nutrients and oxygen minimum zones in a global biogeochemical model
Daniela Niemeyer, Iris Kriest, and Andreas Oschlies
Biogeosciences, 16, 3095–3111, https://doi.org/10.5194/bg-16-3095-2019,https://doi.org/10.5194/bg-16-3095-2019, 2019
Short summary

Related subject area

Biogeosciences
FESDIA (v1.0): exploring temporal variations of sediment biogeochemistry under the influence of flood events using numerical modelling
Stanley I. Nmor, Eric Viollier, Lucie Pastor, Bruno Lansard, Christophe Rabouille, and Karline Soetaert
Geosci. Model Dev., 15, 7325–7351, https://doi.org/10.5194/gmd-15-7325-2022,https://doi.org/10.5194/gmd-15-7325-2022, 2022
Short summary
Impact of changes in climate and CO2 on the carbon storage potential of vegetation under limited water availability using SEIB-DGVM version 3.02
Shanlin Tong, Weiguang Wang, Jie Chen, Chong-Yu Xu, Hisashi Sato, and Guoqing Wang
Geosci. Model Dev., 15, 7075–7098, https://doi.org/10.5194/gmd-15-7075-2022,https://doi.org/10.5194/gmd-15-7075-2022, 2022
Short summary
FORCCHN V2.0: an individual-based model for predicting multiscale forest carbon dynamics
Jing Fang, Herman H. Shugart, Feng Liu, Xiaodong Yan, Yunkun Song, and Fucheng Lv
Geosci. Model Dev., 15, 6863–6872, https://doi.org/10.5194/gmd-15-6863-2022,https://doi.org/10.5194/gmd-15-6863-2022, 2022
Short summary
Climate and parameter sensitivity and induced uncertainties in carbon stock projections for European forests (using LPJ-GUESS 4.0)
Johannes Oberpriller, Christine Herschlein, Peter Anthoni, Almut Arneth, Andreas Krause, Anja Rammig, Mats Lindeskog, Stefan Olin, and Florian Hartig
Geosci. Model Dev., 15, 6495–6519, https://doi.org/10.5194/gmd-15-6495-2022,https://doi.org/10.5194/gmd-15-6495-2022, 2022
Short summary
Use of genetic algorithms for ocean model parameter optimisation: a case study using PISCES-v2_RC for North Atlantic particulate organic carbon
Marcus Falls, Raffaele Bernardello, Miguel Castrillo, Mario Acosta, Joan Llort, and Martí Galí
Geosci. Model Dev., 15, 5713–5737, https://doi.org/10.5194/gmd-15-5713-2022,https://doi.org/10.5194/gmd-15-5713-2022, 2022
Short summary

Cited articles

Anderson, L.: On the hydrogen and oxygen content of marine phytoplankton, Deep-Sea Res. Pt. I, 42, 1675–1680, 1995.
Anderson, L. and Sarmiento, J.: Redfield ratios of remineralization determined by nutrient data analysis, Global Biogeochem. Cy., 8, 65–80, 1994.
Arnold, D. V.: Weighted multirecombination evolution strategies, Lect. Notes Comput. Sc., 361, 18–37, 2006.
Athias, V., Mazzega, P., and Jeandel, C.: Selecting a global optimization method to estimate the oceanic particle cycling rate constants, J. Mar. Res., 58, 675–707, 2000.
Auger, A., Brockhoff, D., and Hansen, N.: Benchmarking the local metamodel CMA-ES on the noiseless BBOB'2013 test bed, in: Genetic and Evolutionary Computation Conference, GECCO 2013, Amsterdam, the Netherlands, 6–10 July 2013, Companion Material Proceedings, 1225–1232, 2013.
Download
Short summary
Global biogeochemical ocean models are subject to a high level of parametric uncertainty. This may be of consequence for their skill with respect to accurately describing features of the present ocean and their sensitivity to possible environmental changes. We present the first results from a framework that combines an offline biogeochemical tracer transport model with an estimation of distribution algorithm, calibrating six biogeochemical model parameters against observed oxygen and nutrients.