Gurbuz, Faruk, Mudireddy, Avinash, Mantilla, Ricardo, and Xiao, Shaoping. Using a physics-based hydrological model and storm transposition to investigate machine-learning algorithms for streamflow prediction. Retrieved from https://par.nsf.gov/biblio/10555052. Journal of Hydrology 628.C Web. doi:10.1016/j.jhydrol.2023.130504.

Gurbuz, Faruk, Mudireddy, Avinash, Mantilla, Ricardo, & Xiao, Shaoping. Using a physics-based hydrological model and storm transposition to investigate machine-learning algorithms for streamflow prediction. Journal of Hydrology, 628 (C). Retrieved from https://par.nsf.gov/biblio/10555052. https://doi.org/10.1016/j.jhydrol.2023.130504

Gurbuz, Faruk, Mudireddy, Avinash, Mantilla, Ricardo, and Xiao, Shaoping. "Using a physics-based hydrological model and storm transposition to investigate machine-learning algorithms for streamflow prediction". Journal of Hydrology 628 (C). Country unknown/Code not available: Springer Nature. https://doi.org/10.1016/j.jhydrol.2023.130504. https://par.nsf.gov/biblio/10555052.

@article{osti_10555052,
place = {Country unknown/Code not available}, title = {Using a physics-based hydrological model and storm transposition to investigate machine-learning algorithms for streamflow prediction}, url = {https://par.nsf.gov/biblio/10555052}, DOI = {10.1016/j.jhydrol.2023.130504}, abstractNote = {}, journal = {Journal of Hydrology}, volume = {628}, number = {C}, publisher = {Springer Nature}, author = {Gurbuz, Faruk and Mudireddy, Avinash and Mantilla, Ricardo and Xiao, Shaoping}, }