Minutes of the group meeting held in Cambridge on November 2nd 2006

Present: Clare, Erik, Roisin, Meike, Nick, Marie and Corinne.


General introduction and goals

Corinne presented the main objective of the group:
"to understand and quantify the interactions between marine biogeochemistry and climate (detect hot spots and non-linearities)"

To achieve this, a lot of model developments are needed. The timeline for model developments need to meet the timeline for climate model developments if we are going to have an impact in the near future. In order to be included in the next round of climate model simulations, our green ocean model component needs to be ready in summer/fall 2007.

Any single component to be included in future climate simulations need to show that it causes a change in a climate-relevant variable by at least 10% globally or 50% locally. The competition for processes and computer time will be large, so we need to meet that target.


Model developments

Model versions so far:

We decided to maintain PlankTOM 5.2 and PlankTOM 10.0 as core models. No decision is taken regarding PISCES-T. This means that developments by individual members of the group will be included in one central code, which will be used to do climate test runs. Each group member is responsible to verify their results for the core model runs when they will be finished. Each group member can keep their own version of the code to pursue their individual work. PlankTOM 10.0 will be modified by Erik to include:

Ideally, developments will be done over a period of ~2 months before the end of winter.

Model evaluation

Meike presented a general strategy to evaluate model results more formally and to keep track of model improvements. The central point was that several tests are needed to properly evaluate model results, as different tests will assess different aspects of the model. Some tests are quite complex to implement (and understand), and we may decide at a later date to hire someone to do this. For the immediate, the most useful tests included an estimate of cost function, model efficiency, and model bias.
Meike to add equations here:


Model output


Things to do