Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 27, issue 5
Articles | Volume 27, issue 5
https://doi.org/10.5194/hess-27-1047-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/hess-27-1047-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 27, issue 5
Research article
 | 
13 Mar 2023
Research article |  | 13 Mar 2023

Machine-learning- and deep-learning-based streamflow prediction in a hilly catchment for future scenarios using CMIP6 GCM data

Dharmaveer Singh, Manu Vardhan, Rakesh Sahu, Debrupa Chatterjee, Pankaj Chauhan, and Shiyin Liu

Related authors

High-resolution glacier mapping reveals inventory biases and terrain controls on debris-covered glaciers in the Karakoram
Xin Yang, Shiyin Liu, Fuming Xie, Jinyue Wei, Jun Zhou, Yunpeng Duan, Yiyuan Shen, Yu Zhu, Qiao Liu, Muhammad Mannan Afzal, and Muhammad Saifullah
EGUsphere, https://doi.org/10.5194/egusphere-2026-2836,https://doi.org/10.5194/egusphere-2026-2836, 2026
This preprint is open for discussion and under review for The Cryosphere (TC).
Short summary
Brief communication: A landslide-induced winter outburst from a frozen glacial lake in the Central Himalaya
Qiao Liu, Yongsheng Yin, Jiawei Yang, Yunyi Luo, Xueyuan Lu, Hao Wang, Yin Fu, Bo Zhang, Qianqian Zheng, Dongyu Lei, Xin Wang, Shiyin Liu, Yong Nie, and Shichang Kang
EGUsphere, https://doi.org/10.5194/egusphere-2026-2674,https://doi.org/10.5194/egusphere-2026-2674, 2026
This preprint is open for discussion and under review for The Cryosphere (TC).
Short summary
Glacier-level and gridded mass change in river sources in the eastern Tibetan Plateau region (ETPR) from the 1970s to 2000
Yu Zhu, Shiyin Liu, Junfeng Wei, Kunpeng Wu, Tobias Bolch, Junli Xu, Wanqin Guo, Zongli Jiang, Fuming Xie, Ying Yi, Donghui Shangguan, Xiaojun Yao, and Zhen Zhang
Earth Syst. Sci. Data, 17, 1851–1871, https://doi.org/10.5194/essd-17-1851-2025,https://doi.org/10.5194/essd-17-1851-2025, 2025
Short summary
A mathematical model to improve water storage of glacial lake prediction towards addressing glacial lake outburst floods
Miaomiao Qi, Shiyin Liu, Zhifang Zhao, Yongpeng Gao, Fuming Xie, Georg Veh, Letian Xiao, Jinlong Jing, Yu Zhu, and Kunpeng Wu
Hydrol. Earth Syst. Sci., 29, 969–982, https://doi.org/10.5194/hess-29-969-2025,https://doi.org/10.5194/hess-29-969-2025, 2025
Short summary
Debris cover effects on energy and mass balance of Batura Glacier in the Karakoram over the past 20 years
Yu Zhu, Shiyin Liu, Ben W. Brock, Lide Tian, Ying Yi, Fuming Xie, Donghui Shangguan, and Yiyuan Shen
Hydrol. Earth Syst. Sci., 28, 2023–2045, https://doi.org/10.5194/hess-28-2023-2024,https://doi.org/10.5194/hess-28-2023-2024, 2024
Short summary
More articles (2)

Cited articles

Abbasian, M., Moghim, S., and Abrishamchi, A.: Performance of the general circulation models in simulating temperature and precipitation over Iran, Theor. Appl. Climatol., 135, 1465–1483, https://doi.org/10.1007/s00704-018-2456-y, 2019. 
Adib, M. N. M. and Harun, S.: Metalearning Approach Coupled with CMIP6 Multi-GCM for Future Monthly Streamflow Forecasting, J. Hydrol. Eng., 27, 05022004, https://doi.org/10.1061/(ASCE)HE.1943-5584.0002176, 2022. 
Adnan, R. M., Yuan, X., Kisi, O., Yuan, Y., Tayyab, M., and Lei, X.: Application of soft computing models in streamflow forecasting. In Proceedings of the institution of civil engineers-water, Manage., 172, 123–134, https://doi.org/10.1680/jwama.16.00075, 2019. 
Adnan, R. M., Liang, Z., Heddam, S., Zounemat-Kermani, M., Kisi, O., and Li, B.: Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as inputs, J. Hydrol., 586, 124371, https://doi.org/10.1016/j.jhydrol.2019.124371, 2020. 
Ali, S. A., Aadhar, S., Shah, H. L., and Mishra, V.: Projected increase in hydropower production in India under climate change, Sci. Rep.​​​​​​​, 8, 1–12, https://doi.org/10.1038/s41598-018-30489-4, 2018. 
More articles (85)
Download
Short summary
This study examines, for the first time, the potential of various machine learning models in streamflow prediction over the Sutlej River basin (rainfall-dominated zone) in western Himalaya during the period 2041–2070 (2050s) and 2071–2100 (2080s) and its relationship to climate variability. The mean ensemble of the model results shows that the mean annual streamflow of the Sutlej River is expected to rise between the 2050s and 2080s by 0.79 to 1.43 % for SSP585 and by 0.87 to 1.10 % for SSP245.
Read more
Share
Special issue
Hydrological response to climatic and cryospheric changes...