Articles | Volume 24, issue 11
https://doi.org/10.5194/hess-24-5491-2020
https://doi.org/10.5194/hess-24-5491-2020
Research article
 | 
23 Nov 2020
Research article |  | 23 Nov 2020

Two-stage variational mode decomposition and support vector regression for streamflow forecasting

Ganggang Zuo, Jungang Luo, Ni Wang, Yani Lian, and Xinxin He

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Latest update: 23 Apr 2025
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Short summary
A two-stage variational mode decomposition and support vector regression is designed to reduce the influence of boundary effects without removing or correcting boundary-affected decompositions. The proposed model significantly reduces the boundary effect consequences, saves modeling time and computation resources, barely overfits the calibration samples, and forecasts monthly runoff reasonably well compared to the benchmark models.
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