Articles | Volume 11, issue 10
Methods for assessment of models
17 Oct 2018
Methods for assessment of models |  | 17 Oct 2018

BGC-val: a model- and grid-independent Python toolkit to evaluate marine biogeochemical models

Lee de Mora, Andrew Yool, Julien Palmieri, Alistair Sellar, Till Kuhlbrodt, Ekaterina Popova, Colin Jones, and J. Icarus Allen

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Cited articles

Anav, A., Friedlingstein, P., Kidston, M., Bopp, L., Ciais, P., Cox, P., Jones, C., Jung, M., Myneni, R., and Zhu, Z.: Evaluating the land and ocean components of the global carbon cycle in the CMIP5 earth system models, J. Climate, 26, 6801–6843,, 2013. a
Appel, K. W., Gilliam, R. C., Davis, N., Zubrow, A., and Howard, S. C.: Overview of the atmospheric model evaluation tool (AMET) v1.1 for evaluating meteorological and air quality models, Environ. Modell. Softw., 26, 434–443,, 2011. a
Azevedo, L. B., De Schryver, A. M., Hendriks, A. J., and Huijbregts, M. A.: Calcifying species sensitivity distributions for ocean acidification, Environ. Sci. Technol., 49, 1495–1500,, 2015. a
Boyd, P. W. and Trull, T. W.: Understanding the export of biogenic particles in oceanic waters: Is there consensus?, Prog. Oceanogr., 72, 276–312,, 2007. a
Broecker, W. S.: The Great Ocean Conveyor, Oceanography, 4, 79–89,, 1991. a
Short summary
Climate change is expected to have a significant impact on the Earth's weather, ice caps, land surface, and ocean. Computer models of the Earth system are the only tools available to make predictions about how the climate may change in the future. However, in order to trust the model predictions, we must first demonstrate that the models have a realistic description of the past. The BGC-val toolkit was built to rapidly and simply evaluate the behaviour of models of the Earth's oceans.