Research Topic

Parameter Estimation and Uncertainty Quantification in Water Resources Modeling

About this Research Topic

Numerical models of flow and transport processes are heavily employed in the fields of surface, soil, and groundwater hydrology. They are used to interpret field observations, analyze complex and coupled processes, or to support decision making related to large societal issues such as the water-energy nexus ...

Numerical models of flow and transport processes are heavily employed in the fields of surface, soil, and groundwater hydrology. They are used to interpret field observations, analyze complex and coupled processes, or to support decision making related to large societal issues such as the water-energy nexus or sustainable water management and food production.

Parameter estimation and uncertainty quantification are two key features of modern science-based predictions. When applied to water resources, these tasks must cope with many degrees of freedom and large datasets. Both are challenging and require novel theoretical and computational approaches to handle complex models with large number of unknown parameters.

This Research Topic targets articles related to novel theoretical and computational methods for parameter estimation and uncertainty quantification with a special focus on big datasets, large-scale inverse models, and their applications. As data quality and information content are also key to efficient model inversion, data analyses and parametric sensitivity analyses of high-dimensional models are also within scope.

Overall, this Research Topic focuses on novel theories and innovative applications of parameter identification and uncertainty quantification in the broad field of water resources and hydro-geophysics.


Keywords: water, numerical modeling, Inverse problem, hydrogeophysics, machine learning


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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Submission Deadlines

19 November 2018 Manuscript
17 December 2018 Manuscript Extension

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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Topic Editors

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Submission Deadlines

19 November 2018 Manuscript
17 December 2018 Manuscript Extension

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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