GitHub - JinfengM/PCE-Hadoop: This repository includes a surrogate modeling framework based on polynomial chaos expansion (PCE) for approximating complex hydrological models, aiming to improve the computational efficiency of investigations requiring thousands of model evaluations. PCE was fitted and verified using high-fidelity model evaluations on a Hadoop-based cloud and was then used as a case study to investigate approximation capability in a SWAT surrogate model with respect to accuracy, fidelity, and efficiency.

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This repository includes a surrogate modeling framework based on polynomial chaos expansion (PCE) for approximating complex hydrological models, aiming to improve the computational efficiency of investigations requiring thousands of model evaluations. PCE was fitted and verified using high-fidelity model evaluations on a Hadoop-based cloud and w…

MIT license

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Name		Name	Last commit message	Last commit date
Latest commit History 16 Commits
Hadoop		Hadoop
10000.csv		10000.csv
6561.csv		6561.csv
LICENSE		LICENSE
PCE-Hadoop.py		PCE-Hadoop.py
plot-SA.py		plot-SA.py
readme		readme

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1. Purpose
  To train and verify the PCE model for surrogating the SWAT model under Hadoop platform 
2. Components description
(1) 6561.csv : training data generated by Hadoop cloud for training PCE
(2) 10000.csv : validation data generated by Hadoop cloud for validating PCE
(3) Hadoop directory : implementation of Hadoop cloud for synchronous execution of SWAT models, the same as https://github.com/JinfengM/SMBO-Hadoop
(4) PCE-Hadoop.py : Training and validation of PCE model
(5) plot-SA.py : the plot of six sensitivity analysis