Articles | Volume 16, issue 4
Research article
02 Mar 2023
Research article |  | 02 Mar 2023

A semi-Lagrangian method for detecting and tracking deep convective clouds in geostationary satellite observations

William K. Jones, Matthew W. Christensen, and Philip Stier


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2022-31', Anonymous Referee #1, 16 Mar 2022
    • AC1: 'Reply on RC1', William Jones, 11 Jun 2022
  • RC2: 'Comment on amt-2022-31', Anonymous Referee #2, 21 Mar 2022
    • AC2: 'Reply on RC2', William Jones, 11 Jun 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by William Jones on behalf of the Authors (17 Jul 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (02 Aug 2022) by Linlu Mei
Short summary
Geostationary weather satellites have been used to detect storm clouds since their earliest applications. However, this task remains difficult as imaging satellites cannot observe the strong vertical winds that are characteristic of storm clouds. Here we introduce a new method that allows us to detect the early development of storms and continue to track them throughout their lifetime, allowing us to study how their early behaviour affects subsequent weather.