Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 27, issue 20
Articles | Volume 27, issue 20
https://doi.org/10.5194/hess-27-3803-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-27-3803-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 27, issue 20
Research article
 | 
27 Oct 2023
Research article |  | 27 Oct 2023

A Bayesian updating framework for calibrating the hydrological parameters of road networks using taxi GPS data

Xiangfu Kong, Jiawen Yang, Ke Xu, Bo Dong, and Shan Jiang

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Short summary
To solve the issue of sparsity of field-observed runoff data, we propose a methodology that leverages taxi GPS data to support hydrological parameter calibration for road networks. Novel to this study is that a new kind of data source, namely floating car data, is introduced to tackle the ungauged catchment problem, providing alternative flooding early warning supports for cities that have little runoff data but rich taxi data.
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