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Biogeochemical Model Development


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    Jim Christian University of Victoria

Providing services related to coupled and ocean modelling, downscaling, biogeochemical modelling and assimilation, assessing and visualizing risk, definition of socioeconomic indicators, and transfer of model technologies to operations.

This project is a partnership between MEOPAR, the University of Victoria, Fisheries and Oceans Canada, and Environment and Climate Change Canada. As part of the Prediction Core, the role of this project has been to develop NEMO-based ocean biogeochemistry modules specifically for use at the global scale and in coupled climate model simulations that can be used for projections of future climates and seasonal forecasting.

The project supports and collaborates with groups involved in more localized ocean biogeochemical modelling activities (downscaling) in both government labs and universities, and mentor HQP involved in MEOPAR supported downscaling projects. Since 2013, a suite of modules has been built that can be ported easily into any NEMO-based ocean model. This activity overlaps with a wide range of regional modelling activities both inside and outside MEOPAR, that is supported by this project both with code and with expertise in biogeochemical model development and in accessing and interpreting climate model projections. The data products have been used in a variety of climate impact assessments, with a new Pacific Ocean Acidification Assessment to be completed this year.

The Prediction Core was designed to respond to the needs of multiple projects including provision of services related to coupled and ocean modelling, downscaling, biogeochemical modelling and assimilation, assessing and visualizing risk, definition of socioeconomic indicators, and transfer of model technologies to operations. The overall objective of this project is to develop biogeochemical models at global scale in support of regional downscaling and seasonal prediction activities.

MEOPeers:

  • Olivier Riche University of British Columbia

Publications:

  • Seiler,Christian ,Séférian, R., M. Gehlen, L. Bopp, L. Resplandy, J. C. Orr, O. Marti, J. P. Dunne, J. R. C, C. Doney, T. Ilyina, K. Lindsay, P. Halloran, C. Heinze, J. Segschneider, and J. Tjiputra. 2016, Inconsistent strategies to spin up models in CMIP5: implications for ocean biogeochemical model performance assessment, Geoscientific Model Development, 9: 1827-1851,
  • Christian,Jim,Schwinger, J., Tjiputra, JF., Heinze, C., Bopp, L., et al. 2014, Non-linearity of Ocean Carbon Feedbacks in CMIP5 Earth System Models, Journal of Climate,

This activity supports other components of MEOPAR that address issues related to ocean acidification and de-oxygenation.

University of Victoria Continuing Studies Course on "Oceans, carbon and climate"