Articles | Volume 19, issue 12
https://doi.org/10.5194/gmd-19-5689-2026
https://doi.org/10.5194/gmd-19-5689-2026
Development and technical paper
 | 
30 Jun 2026
Development and technical paper |  | 30 Jun 2026

Improvement of the Rnnmm-type climate index approach with a spatio-temporal model based on the Hawkes process

Fidel Ernesto Castro Morales, Antonio Marcos Batista do Nascimento, Marina Silva Paez, Daniele Torres Rodrigues, and Carla de Moraes Apolinário

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Fidel Ernesto Castro Morales on behalf of the Authors (27 Apr 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (09 Jun 2026) by Rohitash Chandra
RR by Anonymous Referee #1 (11 Jun 2026)
ED: Publish as is (17 Jun 2026) by Rohitash Chandra
AR by Fidel Ernesto Castro Morales on behalf of the Authors (20 Jun 2026)  Author's response   Manuscript 
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Short summary
This study introduces a new method to better understand extreme rainfall events by considering that heavy rain often occurs in clusters over time. Using rainfall records from northern Brazil, we developed and tested a statistical approach that improved prediction accuracy compared with existing methods. The results can support more reliable climate risk assessments and help improve planning for disaster prevention and climate change adaptation.
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