Articles | Volume 16, issue 3
Data description paper
15 Mar 2024
Data description paper |  | 15 Mar 2024

Systematically tracking the hourly progression of large wildfires using GOES satellite observations

Tianjia Liu, James T. Randerson, Yang Chen, Douglas C. Morton, Elizabeth B. Wiggins, Padhraic Smyth, Efi Foufoula-Georgiou, Roy Nadler, and Omer Nevo


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2023-389', Anonymous Referee #1, 21 Nov 2023
  • RC2: 'Comment on essd-2023-389', Anonymous Referee #2, 22 Nov 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Tianjia Liu on behalf of the Authors (04 Jan 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (18 Jan 2024) by Jia Yang
AR by Tianjia Liu on behalf of the Authors (23 Jan 2024)  Manuscript 

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Tianjia Liu on behalf of the Authors (13 Mar 2024)   Author's adjustment   Manuscript
EA: Adjustments approved (13 Mar 2024) by Jia Yang
Short summary
To improve our understanding of extreme wildfire behavior, we use geostationary satellite data to develop the GOFER algorithm and track the hourly fire progression of large wildfires. GOFER fills a key temporal gap present in other fire tracking products that rely on low-Earth-orbit imagery and reveals considerable variability in fire spread rates on diurnal timescales. We create a product of hourly fire perimeters, active-fire lines, and fire spread rates for 28 fires in California.
Final-revised paper