Advances in Calibration, Sensitivity and Uncertainty Analysis of Hydrological Models
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrology".
Deadline for manuscript submissions: closed (25 May 2024) | Viewed by 1022
Special Issue Editors
Interests: groundwater modelling and management; uncertainty analysis; optimization; water resources management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Hydrological models play an important role in developing improved understanding and managing water resources in a changing world. Accurate predictions of changes in run off, river flow, groundwater recharge and levels and other hydrological variables and processes like surface water – groundwater interaction are essential for informed decision-making in water resource management, and climate change impact assessment.
Process-based and data-driven models of different kinds and complexities are used for such purposes these days. Reliability of predictions made by such models depends on how well they honour data and/or simulate the underlying processes that are important for making the predictions of interest. Sensitivity analysis, calibration and uncertainty analysis of models can help model simplification, optimal parameterisation, history matching and quantify predictive uncertainties of the model caused by model structure and parameters. This special issue invites submissions that focus on advances in methods and application of calibration, sensitivity analysis, and uncertainty quantification in hydrological modeling.
Novel approaches and applications of local and global sensitivity analysis for improving model structure and parameters, computationally efficient approaches for model calibration and data assimilation including the use of Machine Learning based techniques are of interest. Contributions investigating quantification and propagation of model uncertainties for risk assessment improved decision making under uncertainty are also welcome.
Dr. Sreekanth Janardhanan
Dr. Stephanie Clark
Guest Editors
Manuscript Submission Information
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Keywords
- hydrological models
- sensitivity
- calibration
- uncertainty
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