Meteolakes
Meteolakes models three-dimensional lake hydrodynamics and assimilates real-time observational data to support interpretation and short-term forecasting of biogeochemical and physical processes in freshwater systems.
Key Features:
- Delft3D-based 3D hydrodynamic-biological modeling: Uses the Delft3D framework to perform three-dimensional hydrodynamic-biological simulations that capture mixing and transport processes.
- Daily simulations: Executes daily simulations to provide updated physical and biogeochemical states of the lake system.
- Real-time data integration: Integrates observations from field stations, satellite remote sensing, and local weather dynamics for near real-time model forcing.
- Data assimilation and short-term forecasting: Incorporates data assimilation techniques to generate synoptic lake information and short-term forecasts, enabling warnings for events such as upwellings and storms.
- Support for experimental design and interdisciplinary studies: Produces model outputs and assimilated observations to inform the design, planning, and analysis of field experiments and interdisciplinary research.
Scientific Applications:
- Hydrodynamics and biogeochemistry research: Provides three-dimensional model outputs and assimilated observational data for studying hydrodynamic processes and biogeochemical interactions in lakes.
- Operational forecasting and event warning: Enables short-term forecasts and issuance of warnings for environmental events such as upwellings and storms.
- Field campaign planning and analysis: Supplies synoptic lake information and forecasts to inform field experiment design and data interpretation.
- Water resources management and policy planning: Delivers synoptic and modeled information to support long-term water resources management and policy decisions.
Methodology:
Meteolakes integrates Delft3D three-dimensional hydrodynamic-biological simulations with continuous observational inputs from field stations, satellite remote sensing, and local weather data, runs daily simulations, and applies data assimilation for forecasting.
Topics
Details
- Tool Type:
- web application
- Added:
- 1/18/2021
- Last Updated:
- 2/22/2021
Operations
Publications
Baracchini T, Wüest A, Bouffard D. Meteolakes: An operational online three-dimensional forecasting platform for lake hydrodynamics. Water Research. 2020;172:115529. doi:10.1016/j.watres.2020.115529. PMID:32006775.
PMID: 32006775
Funding: - European Space Agency’s Scientific Exploitation of Operational Missions element: AO/1-8216/15/I-SBo