Articles | Volume 11, issue 2
Geosci. Instrum. Method. Data Syst., 11, 389–412, 2022
https://doi.org/10.5194/gi-11-389-2022
Geosci. Instrum. Method. Data Syst., 11, 389–412, 2022
https://doi.org/10.5194/gi-11-389-2022
Research article
24 Nov 2022
Research article | 24 Nov 2022

Upgrade of LSA-SAF Meteosat Second Generation daily surface albedo (MDAL) retrieval algorithm incorporating aerosol correction and other improvements

Daniel Juncu et al.

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gi-2022-6', Anonymous Referee #1, 28 May 2022
    • AC1: 'Reply on RC1', Daniel Juncu, 29 Jul 2022
  • RC2: 'Comment on gi-2022-6', Anonymous Referee #2, 03 Sep 2022
    • AC2: 'Reply on RC2', Daniel Juncu, 12 Oct 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Daniel Juncu on behalf of the Authors (12 Oct 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (28 Oct 2022) by Ralf Srama
Download
Short summary
MDAL is a near real-time, satellite-based surface albedo product based on the geostationary Meteosat Second Generation mission. We propose an update to the processing algorithm that generates MDAL and evaluate the results of these changes through comparison with the pre-update, currently operational MDAL product as well as reference data using different satellite-based albedo products and in situ measurements. We find that the update provides a valuable improvement.