Enhanced Runoff Modeling by Incorporating Information from the GR4J Hydrological Model and Multiple Remotely Sensed Precipitation Datasets

Enhanced Runoff Modeling by Incorporating Information from the GR4J Hydrological Model and Multiple Remotely Sensed Precipitation Datasets

Reliable runoff modeling is essential for water resource allocation and management. However, a key uncertainty source is that the true precipitation field is difficult to measure, making reliable runoff modeling still challenging. To account for this uncertainty, this study developed a two-step appr...

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Bibliographic Details
Main Authors: Chongxun Mo, Qihua Su, Xingbi Lei, Rongyong Ma, Yi Huang, Chengxin Feng, Guikai Sun
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Water
Subjects:
runoff modeling
remotely sensed precipitation datasets
GR4J
ensemble average
cumulative distribution correction
Online Access:https://www.mdpi.com/2073-4441/16/4/530

Internet

https://www.mdpi.com/2073-4441/16/4/530

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