Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 5
Articles | Volume 18, issue 5
https://doi.org/10.5194/gmd-18-1357-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-1357-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 5
Model description paper
 | 
05 Mar 2025
Model description paper |  | 05 Mar 2025

Modelling rainfall with a Bartlett–Lewis process: pyBL (v1.0.0), a Python software package and an application with short records

Chi-Ling Wei, Pei-Chun Chen, Chien-Yu Tseng, Ting-Yu Dai, Yun-Ting Ho, Ching-Chun Chou, Christian Onof, and Li-Pen Wang

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Baioletti, M., Santucci, V., and Tomassini, M.: A performance analysis of Basin hopping compared to established metaheuristics for global optimization, J. Global. Optim., 89, 803–832, https://doi.org/10.1007/s10898-024-01373-5, 2024. a
Cannon, A. J., Jeong, D.-I., and Yau, K.-H.: Updated observations provide stronger evidence for increases in sub-hourly to hourly extreme rainfall in Canada, J. Climate, 37, 3393–3411, https://doi.org/10.1175/JCLI-D-23-0501.1, 2024. a
Chan, S., Kendon, E., Roberts, N., Fowler, H., and Blenkinsop, S.: The characteristics of summer sub-hourly rainfall over the southern UK in a high-resolution convective permitting model, Environ. Res. Lett., 11, 094024, https://doi.org/10.1088/1748-9326/11/9/094024, 2016. a
Cross, D., Onof, C., Winter, H., and Bernardara, P.: Censored rainfall modelling for estimation of fine-scale extremes, Hydrol. Earth Syst. Sci., 22, 727–756, https://doi.org/10.5194/hess-22-727-2018, 2018. a
Cross, D., Onof, C., and Winter, H.: Ensemble simulation of future rainfall extremes with temperature dependent censored simulation, Adv. Meteorol., 136, 103479, https://doi.org/10.1016/j.advwatres.2019.103479, 2019. a
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pyBL is an open-source package for generating realistic rainfall time series based on the Bartlett–Lewis (BL) model. It can preserve not only standard but also extreme rainfall statistics across various timescales. Notably, compared to traditional frequency analysis methods, the BL model requires only half the record length (or even shorter) to achieve similar consistency in estimating sub-hourly rainfall extremes. This makes it a valuable tool for modelling rainfall extremes with short records.
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