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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…
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JinfengM/PCE-Hadoop
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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
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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…
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