1. Discussion Session: FAMOS, Oct. 2013
Major Challenges for biogeochemical
modelling and observations:
what is needed to improve both
observing systems and models
including coordinated experiments

2. P N D Z Diagnostic variables Validation Rates/Fluxes
Spatially and temporally averaged quantities
incl. variance and uncertainty P D Z N
Chl
Rates/Fluxes
Diagnostic variables
Validation
Regional model studies
Localized Process model studies
(Parameterisation development)
Climate model studies
Site specific quantities
from field and Lab experiments
(duplicates)
Spatially averaged quantities incl. spatial variability
Conceptual models
Complexities and interactions
Community structure
Plankton Functional Types
Multi nutrient
Types of measurements
Types of model studies
Types of model data
Prognostic variables

3. Model needs and abilities
Main limitation for model development is validation => need observational data => ideal dataset varies with the model: data sets covering all seasons and most of the model domain and be available as a gridded dataset, data- rich (large range of quantities) long timeseries at a specific location or data rich short process studies with high temporal resolution.
Modellers can create dynamics of bgc processes, but don't have the information to constrain the parameters (quantification) => models have to remain simpler
Issues: Model scale versus sampling scale/Consistency in definitions of quantities (in models and obs)
Sensitivity studies
Feedback to observationalists => guide studies

4. Observations
Consistent methods and reporting (e.g. Miller et al. - BEPSII for sea-ice bgc)
Need for information on instrument precision
Need for redundant observations to independently validate observational datasets
Need for duplicate/triplicate measurements => information on standard deviation and variance => uncertainty ranges for model sensitivity studies

5. Main physical drivers: 1. Sea Ice cover, 2
Main physical drivers: 1. Sea Ice cover, 2. snow melt/melt ponds/brine release – subgrid scale representation, 3. stratification/mixing/tides, 4. upstream properties - water Inflow
What coordinated experiments are needed? - possible???
Process oriented studies:
Light transfer through sea-ice
(Light versus nutrient limitation)
Near surface mixing => stratification
Deep Chlorophyll Maximum: seasonality/duration/magnitude/depth
Other: Recommendation for CMIP6 ?