|What do we do? - Science|
WP 9 leader: Andreas Oschlies aoschlies (at) ifm-geomar.de IFM-GEOMAR
- 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)