Articles | Volume 5, issue 2
Research article
25 May 2022
Research article |  | 25 May 2022

Development of forecast information for institutional decision-makers: landslides in India and cyclones in Mozambique

Mirianna Budimir, Alison Sneddon, Issy Nelder, Sarah Brown, Amy Donovan, and Linda Speight


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'General and section specific comments', Anonymous Referee #1, 21 Nov 2021
    • AC1: 'Reply on RC1', Mirianna Budimir, 18 Feb 2022
  • RC2: 'Comment on gc-2021-31', Anonymous Referee #2, 13 Dec 2021
    • AC2: 'Reply on RC2', Mirianna Budimir, 18 Feb 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (25 Feb 2022) by John K. Hillier
AR by Mirianna Budimir on behalf of the Authors (04 Apr 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (20 Apr 2022) by John K. Hillier
RR by Anonymous Referee #2 (25 Apr 2022)
ED: Publish as is (04 May 2022) by John K. Hillier
ED: Publish as is (05 May 2022) by Sam Illingworth(Executive Editor)
Short summary
This paper extracts key learning from two case studies (India and Mozambique), outlining solutions and approaches to challenges in developing forecast products. These lessons and solutions can be used by forecasters and practitioners to support the development of useful, appropriate, and co-designed forecast information for institutional decision-makers to support more effective early action in advance of disasters.
Final-revised paper