Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 24, issue 5
Articles | Volume 24, issue 5
https://doi.org/10.5194/hess-24-2791-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-2791-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 5
Research article
 | 
29 May 2020
Research article |  | 29 May 2020

Modelling rainfall with a Bartlett–Lewis process: new developments

Christian Onof and Li-Pen Wang

Supplement

https://doi.org/10.5194/hess-24-2791-2020-supplement

Model code and software

NTU-CompHydroMetLab/pyBL: pybl-20230324 (v0.1.0-alpha) L.-P. Wang, T.-Y. Dai, Y.-T. Heh, P.-C. Chen, C.-L. Wei, and C.-C Chou https://doi.org/10.5281/zenodo.7765663

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Short summary
The randomised Bartlett–Lewis (RBL) model is widely used to synthesise rainfall time series with realistic statistical features. However, it tended to underestimate rainfall extremes at sub-hourly and hourly timescales. In this paper, we revisit the derivation of equations that represent rainfall properties and compare statistical estimation methods that impact model calibration. These changes effectively improved the RBL model's capacity to reproduce sub-hourly and hourly rainfall extremes.
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