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Visualizing the Results of the Calibration of the Distributed Hydrological Model Iber+ with the Surrogate-Assisted Evolutionary Algorithm

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Type:	Resource
Storage:	The size of this resource is 2.9 MB
Created:	Jul 25, 2023 at 12:38 p.m.
Last updated:	Jul 28, 2023 at 5:03 p.m.
DOI:	10.4211/hs.1a7d73ae3ac044969740f985b56d031c
Citation:	See how to cite this resource

Sharing Status:	Published
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Abstract

This data represents outcomes from experiments focused on optimizing a distributed hydrological model via a Surrogate-Assisted Evolutionary Algorithm (SAEA). Two scripts perform data analysis, visualization, and strategy comparison. The first script imports pertinent datasets, visualizes the model's performance, and applies the Generalized Likelihood Uncertainty Estimation (GLUE) methodology to create a confidence band for predictions. The second script manages data for multiple generations and compares Monte Carlo (MC) and Evolutionary Algorithm with Surrogate Modeling (EA-SM) strategies, visualized in a scatter plot. Together, these scripts provide comprehensive insights into the model's performance, efficiency, and potential enhancements.

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Credits

Funding Agencies

This resource was created using funding from the following sources:

Agency Name	Award Title	Award Number
Xunta de Galicia	Pre-doctoral fellowship program Axudas de apoio á etapa predoutoral 2019	ED481A-2019/014

How to Cite

Farfán-Durán, J. F., L. Cea (2023). Visualizing the Results of the Calibration of the Distributed Hydrological Model Iber+ with the Surrogate-Assisted Evolutionary Algorithm, HydroShare, https://doi.org/10.4211/hs.1a7d73ae3ac044969740f985b56d031c

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/

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