Close the gap in modelling land-vegetation processes for short-term prediction by implementing prognostic vegetation models that can be used in seasonal forecast and future reanalyses system (beyond ERA6)
→ Increasing consistency in the water and carbon cycles.
→ Improving reliability of seasonal forecasts.
→ Preparing assimilation of vegetation related parameters.
→ Preparing inclusion of vegetation-fires-carbon feedbacks
- Improved model parametrisation based on prognostic vegetation development state (Leaf Area Index) that enables further consideration of the vegetation dynamics in two different land models (CHTESSEL and SURFEX).
- Conduct multi-year stand-alone land simulations.
- Evaluation of all-year-round impact of time varying LAI on the land water reservoirs and fluxes: soil moisture, snowpack, evaporation and river-discharges using available observations.
- Assess impact of those developments in seasonal forecast skill and predictability.
Addressed in work packages: WP1 and WP3