Articles | Volume 25, issue 2
https://doi.org/10.5194/hess-25-945-2021
https://doi.org/10.5194/hess-25-945-2021
Research article
 | 
24 Feb 2021
Research article |  | 24 Feb 2021

Diagnosis toward predicting mean annual runoff in ungauged basins

Yuan Gao, Lili Yao, Ni-Bin Chang, and Dingbao Wang

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Latest update: 15 Jun 2024
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Short summary
Mean annual runoff prediction is of great interest but still poses a challenge in ungauged basins. The purpose of this study is to diagnose the data requirement for predicting mean annual runoff in ungauged basins based on a water balance model, in which the effects of climate variability are explicitly represented. The performance of predicting mean annual runoff can be improved by employing better estimation of soil water storage capacity including the effects of soil, topography, and bedrock.