Speakers
Peter Dietrich
(UFZ)
Sara König
(UFZ)
Description
Monitoring data drives models in different ways - such data is needed for model development, parametrization and calibration; but also for validating model results.
The latter is especially important for increasing the acceptance of potential stakeholders: by using current observations, we can demonstrate the predictive power of our simulations models.
In this breakout session, we would like to discuss different model-data fusion applications, related challenges and the way forward to improve interactions between monitoring and modelling. This discussion will be inspired by flashtalks both from the modelling and monitoring perspective.
- Introduction (Peter Dietrich, UFZ)
- Importance of quality controlled (long-term) data for model validation and upscaling (Frederieke Miesner, AWI)
- Dynamizing root water uptake in hydrological models (Sven Westermann, UFZ)
- Modelling drought impact from tree growth monitoring in northern boreal forests (Stefan Kruse, AWI)
- Modeling interactions of water fluxes with species and structural diversity in temperate forests (Friedrich Bohn, UFZ)
- Butterfly monitoring and modelling: we need more than we have? (Guy Pe'er, UFZ)
- Spatial Connectivity and Ecosystem Health - An Antarctic Perspective (Simeon Lisovski, AWI)
- The importance of long-term field experiments for modeling soil functions in agricultural systems (Sara König, UFZ)
