Objectives
- Develop integrated data products combining assimilation model
results, ground-based data and remote sensing fields
- Improve satellite retrievals
- Analyze long-term trends in existing model results and check consistency
with trends in observations
- Constrain budgets
- Evaluate global & regional models with GEOmon data
- Optimize measurement networks through comparisons between observed and modelled tracer distributions
Comparison between the NO2 column loads as observed
by the GOME satellite (upper row, using two different algorithms)
and simulted (lower row for two different models) (ACCENT Van Noije
et al., ACP, 2006)
Workpackages
- Evaluation of forward models with GEOmon data
Evaluation of global and regional models results
- 4D climatologies of GEOmon data
Integration of ground-based and satellite data
- Analysis of long-term trends: Consistency between GEOmon data and
model results
Quantification of past changes, and identification of principal contributing factors
- Network design and source and sink estimates
Improve the design of measurement networks in order to optimize their use for environmental applications.
