Key role of deep-water observations for Probabilistic Parameter Estimation in Lake Hydrodynamic Models
Physics-based hydrodynamic models simulating lake water temperature often face challenges due to sparse observational data and equifinality, where many parameter combinations yield similar goodness-of-fit to observations, complicating calibration. Thi
Authors
- Robert Ladwig (ORCID: https://orcid.org/0000-0001-8443-1999)
- Isabel Douterelo Soler
- Charles Rougé (ORCID: https://orcid.org/0000-0003-1374-4992)
- Geoff Darch (ORCID: https://orcid.org/0000-0002-1395-5995)
- Mustafa Onur Onen (ORCID: https://orcid.org/0009-0002-8473-9736)
Institutions
- Anglian Water Services (United Kingdom) (GB)
- Aarhus University (DK)
- University of Sheffield (GB)
Publication Details
- Published
- 2025-10-13
- DOI
- https://doi.org/10.22541/essoar.176036929.97218662/v1
- Primary Topic
- Oceanographic and Atmospheric Processes
- Type
- article
- Field-Weighted Citation Impact
- 0.00