EGU 2026 Session HS2.2.9: From observations to decisions: monitoring and modelling for water and environmental management - Call for abstract
Qi Tang
Dear colleagues,
We would like to invite you to submit your abstract to the following EGU General Assembly 2026 session (HS2.2.9): From observations to decisions: monitoring and modelling for water and environmental management
Session information
Real-time monitoring and modelling are essential for supporting decision making in water and environmental management. By combining observational data with numerical models, one can forecast how hydrological and environmental systems respond to different management actions or environmental changes. Numerical models can thus provide reliable guidance for decision-making.
Real-time modelling frameworks face several challenges, including the integration of diverse data streams and practical constraints on modelling, as well as the need to deliver timely and reliable outputs. Addressing these challenges is key to improve how water and environmental systems are managed under growing pressures from climate change and human activities. This session invites contributions on innovative approaches, tools, and case studies that demonstrate how observations and models can be combined to support operational and strategic decisions.
Topics of interest include, but are not limited to:
1) Integration of modelling with ground-based and satellite observations
2) Real-time data assimilation and forecasting for decision support
3) Conceptual, numerical, and data-driven approaches for decision-relevant
modelling
4) Optimised monitoring, site characterisation, and data processing
5) Real-world case studies showing how modelling informs operational water and
environmental management
The abstract submission deadline is Thursday, 15 January 2026, 13:00 CET.
For abstract submission, please click here.
We look forward to receiving your contributions and to seeing many of you in Vienna (and online)!
Kind regards,
Qi Tang, Hugo Delottier, Oliver S. Schilling, Wolfgang Kurtz and Harrie-Jan Hendricks Franssen