WP 9 leader: Andreas Oschlies   aoschlies (at) ifm-geomar.de     IFM-GEOMAR

Objectives:

• Integration and synthesis of experimental findings and numerical models.
• Efficient knowledge transfer between experimental, process-oriented research and Earth-system science modelling.
• Feedback to experimental scientists about process understanding that will efficiently reduce ecosystem model uncertainty.

Description of work and role of participants:

T9.1: Establish a coherent database on experimental data on the effect of elevated pCO2 on marine organisms and ecosystem (LOV, UiB)

T9.2: Process oriented meta-analysis of experimental results (mesocosm and microcosm) (IFM-GEOMAR, UiB, AWI, PML, NIOO, LOV)

T9.3: Meta-analysis of model structures and parameterizations (ZMT, IFM-GEOMAR, NIOO, UiB, AWI, PML, ETH ZURICH, UBern, MPG, CEA)

T9.4: Modeling of mesocosm experiments, including data-assimilative parameter estimation (ZMT, IFM-GEOMAR, NIOO)

T9.5: Improve models to better reproduce mesocosm results and provide optimal balance between model complexity, performance and portability (IFM-GEOMAR, ZMT, NIOO)

T9.6: Assessment of new parameterizations and recommendations for incorporation of improved process understanding into global-scale models, (NIOO, IFM-GEOMAR, ZMT)