Machine Learning Improvement of Streamflow Simulation by Utilizing Remote Sensing Data and Potential Application in Guiding Reservoir Operation

Machine Learning Improvement of Streamflow Simulation by Utilizing Remote Sensing Data and Potential Application in Guiding Reservoir Operation

Hydro-meteorological datasets are key components for understanding physical hydrological processes, but the scarcity of observational data hinders their potential application in poorly gauged regions. Satellite-retrieved and atmospheric reanalysis products exhibit considerable advantages in filling...

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Bibliographic Details
Main Authors: Shaokun He, Lei Gu, Jing Tian, Lele Deng, Jiabo Yin, Zhen Liao, Ziyue Zeng, Youjiang Shen, Yu Hui
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sustainability
Subjects:
ungauged basin
machine learning
streamflow simulation
satellite precipitation
atmospheric reanalysis
Online Access:https://www.mdpi.com/2071-1050/13/7/3645

Internet

https://www.mdpi.com/2071-1050/13/7/3645

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