ID: 2.2/07.A
Water resources planning and decision-making need robust tools to explore future scenarios and assess infrastructure impacts. Large-scale hydrological models provide essential context, integrating natural processes with human water use over large regions, allowing to simulate water systems at continental scale. This webinar introduces 5 large scale models (LISFLOOD, Wflow, Parflow-CLM, CLM, TSMP), presents the methods used for benchmarking them over Europe within the STARS4Water project, and discusses their added value.
Learning Objectives
- Understand what large-scale hydrological models are and why they are essential.
- Provide examplea and application of some large-scale models: ParFlow, CLM, and Lisflood.
- Present outputs from different large-scale models
Target Audience
- Water professionals, water planners, anyone dealing with river basin modelling or policy
Keywords
large-scale models, LISFLOOD, Wflow, Parflow, CLM, TSMP, benchmarking
Related Resources
Deliverable 3.3: Improving existing models based on multi-scale model integration
Deliverable 3.1: Gap analysis of existing tools in the RBs
Avila, L., et al.: Integrating GRACE and ERA5-Land with simulations to estimate monthly groundwater table depth anomalies based on Random Forest and LSTM networks over the Seine River Basin, AGU 2024, 9-13 December 2024, Washington D.C., https://agu.confex.com/agu/agu24/meetingapp.cgi/Paper/1610809, 2024.
Avila, L., at al.: Estimation of Monthly Water Table Depth Anomalies Based on the Integration of GRACE and ERA5-Land with Large-Scale Simulations Using Random Forest and LSTM Networks, Water Resour. Manage., https://doi.org/10.1007/s11269-025-04097-7, 2025.
[Category: 2.2 / Level: 1]
Presenter:
Dr. Leandro Avila, Forschungszentrum Jülich (FZJ)
For further questions please contact us via this form https://stars4water.eu/contact/