Articles | Volume 24, issue 5
Hydrol. Earth Syst. Sci., 24, 2791–2815, 2020
https://doi.org/10.5194/hess-24-2791-2020
Hydrol. Earth Syst. Sci., 24, 2791–2815, 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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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

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
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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.