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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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (15 Dec 2019) by Nadav Peleg
AR by Li-Pen Wang on behalf of the Authors (24 Jan 2020)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (02 Feb 2020) by Nadav Peleg
RR by Anonymous Referee #1 (05 Feb 2020)
ED: Publish subject to minor revisions (review by editor) (10 Apr 2020) by Nadav Peleg
AR by Li-Pen Wang on behalf of the Authors (16 Apr 2020)  Author's response   Manuscript 
ED: Publish as is (23 Apr 2020) by Nadav Peleg
AR by Li-Pen Wang on behalf of the Authors (25 Apr 2020)
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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.