@article {83043,
	title = {Developing novel robust models to improve the accuracy of daily streamflow modeling.},
	journal = {Water Resources Management},
	volume = {34},
	year = {2020},
	note = {In this article, the authors discuss different methods for enhancing models of daily streamflow, using two sites in Canada and two sites in the United States, including the hydrologic station at Elkton.  Proposed boosted models showed improvement over classic multi-layer perception and time series models.},
	pages = {p.3387-3409},
	keywords = {Elkton (Or.), hydrology, mathematical modeling, neural networks, precipitation, streamflow, Umpqua River},
	doi = {https://doi.org/10.1007/s11269-020-02619-z  },
	author = {Mohammadi, Babak and Ahmadi, Farshad and Mehdizadeh, Saeid and Guan, Yiqing and Pham, Quoc Bao and Linh, Nguyen Thi Thuy and Tri, Doan Quang}
}
