Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 30, issue 6
Articles | Volume 30, issue 6
https://doi.org/10.5194/hess-30-1543-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-30-1543-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 30, issue 6
Research article
 | 
25 Mar 2026
Research article |  | 25 Mar 2026

DAR-type model based on “long memory-threshold” structure: a competitor for daily streamflow prediction under changing environment

Huimin Wang, Songbai Song, Gengxi Zhang, Thian Yew Gan, and Zhuoyue Peng

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Short summary
This study introduces a novel dual-threshold double autoregressive (DTDAR) model for daily streamflow prediction. The DTDAR model outperforms other commonly used models, especially when using a Student's t distribution for residuals, showing improved accuracy in capturing non-linearity and long-term memory in streamflow data.
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