Transfer Entropy as a Tool for Hydrodynamic Model Validation.
| Title: | Transfer Entropy as a Tool for Hydrodynamic Model Validation. |
|---|---|
| Authors: | Sendrowski A; Department of Civil, Architectural and Environmental Engineering, Center for Water and the Environment, The University of Texas at Austin, Austin, TX 78712, USA.; Sadid K; The Water Institute of the Gulf, Baton Rouge, LA 70802, USA.; Meselhe E; The Water Institute of the Gulf, Baton Rouge, LA 70802, USA.; Department of River-Coastal Science and Engineering, Tulane University, New Orleans, LA 70118, USA.; Wagner W; Department of Geological Sciences, The University of Texas at Austin, Austin, TX 78712, USA.; Mohrig D; Department of Geological Sciences, The University of Texas at Austin, Austin, TX 78712, USA.; Passalacqua P; Department of Civil, Architectural and Environmental Engineering, Center for Water and the Environment, The University of Texas at Austin, Austin, TX 78712, USA. |
| Source: | Entropy (Basel, Switzerland) [Entropy (Basel)] 2018 Jan 12; Vol. 20 (1). Date of Electronic Publication: 2018 Jan 12. |
| Publication Type: | Journal Article |
| Language: | English |
| Journal Info: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101243874 Publication Model: Electronic Cited Medium: Internet ISSN: 1099-4300 (Electronic) Linking ISSN: 10994300 NLM ISO Abbreviation: Entropy (Basel) Subsets: PubMed not MEDLINE |
| Imprint Name(s): | Original Publication: Basel, Switzerland : MDPI, 1999- |
| Abstract: | The validation of numerical models is an important component of modeling to ensure reliability of model outputs under prescribed conditions. In river deltas, robust validation of models is paramount given that models are used to forecast land change and to track water, solid, and solute transport through the deltaic network. We propose using transfer entropy (TE) to validate model results. TE quantifies the information transferred between variables in terms of strength, timescale, and direction. Using water level data collected in the distributary channels and inter-channel islands of Wax Lake Delta, Louisiana, USA, along with modeled water level data generated for the same locations using Delft3D, we assess how well couplings between external drivers (river discharge, tides, wind) and modeled water levels reproduce the observed data couplings. We perform this operation through time using ten-day windows. Modeled and observed couplings compare well; their differences reflect the spatial parameterization of wind and roughness in the model, which prevents the model from capturing high frequency fluctuations of water level. The model captures couplings better in channels than on islands, suggesting that mechanisms of channel-island connectivity are not fully represented in the model. Overall, TE serves as an additional validation tool to quantify the couplings of the system of interest at multiple spatial and temporal scales. |
| Competing Interests: | The authors declare no conflict of interest. The founding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results. |
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| Grant Information: | FESD-EAR-1135427 NSF; CAREER/EAR-1350336 NSF; DGE-1110007 NSF |
| Contributed Indexing: | Keywords: hydrodynamics; model validation; process connectivity; river deltas; transfer entropy |
| Entry Date(s): | Date Created: 20201203 Latest Revision: 20201207 |
| Update Code: | 20260130 |
| PubMed Central ID: | PMC7512254 |
| DOI: | 10.3390/e20010058 |
| PMID: | 33265141 |
| Database: | MEDLINE |
Journal Article