Articles | Volume 24, issue 5
https://doi.org/10.5194/hess-24-2791-2020
https://doi.org/10.5194/hess-24-2791-2020
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

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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.