Articles | Volume 18, issue 15
https://doi.org/10.5194/amt-18-3833-2025
https://doi.org/10.5194/amt-18-3833-2025
Research article
 | 
13 Aug 2025
Research article |  | 13 Aug 2025

Extension of AVHRR-based climate data records: exploring ways to simulate AVHRR radiances from Suomi NPP VIIRS data

Karl-Göran Karlsson, Nina Håkansson, Salomon Eliasson, Erwin Wolters, and Ronald Scheirer

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2025-379', Rob Roebeling, 28 Feb 2025
  • RC2: 'Comment on egusphere-2025-379', Anonymous Referee #2, 10 Mar 2025

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Karl-Göran Karlsson on behalf of the Authors (16 Apr 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (16 Apr 2025) by Andrew Sayer
RR by Rob Roebeling (25 Apr 2025)
ED: Publish subject to minor revisions (review by editor) (25 Apr 2025) by Andrew Sayer
AR by Karl-Göran Karlsson on behalf of the Authors (30 Apr 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (30 Apr 2025) by Andrew Sayer
AR by Karl-Göran Karlsson on behalf of the Authors (30 Apr 2025)  Author's response   Manuscript 
Download
Short summary
The topic is finding methods to extend climate data records from single-instrument satellite observations, in this case the Advanced Very High Resolution Radiometer (AVHRR). Several modern instruments include AVHRR-heritage channels, but some corrections are necessary to account for some differences. We have simulated AVHRR data from the Visible Infrared Imaging Radiometer Suite (VIIIRS) sensor on National Oceanic and Atmospheric Administration (NOAA) polar satellites. We find that methods based on machine learning are capable of performing these corrections.
Share