Articles | Volume 15, issue 4
Research article
21 Feb 2022
Research article |  | 21 Feb 2022

Cloud-probability-based estimation of black-sky surface albedo from AVHRR data

Terhikki Manninen, Emmihenna Jääskeläinen, Niilo Siljamo, Aku Riihelä, and Karl-Göran Karlsson


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Review on amt-2021-143', Anonymous Referee #1, 29 Oct 2021
  • RC2: 'Review of amt-2021-143', Anonymous Referee #2, 10 Dec 2021
    • AC2: 'Reply on RC2', Terhikki Manninen, 18 Dec 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Terhikki Manninen on behalf of the Authors (12 Jan 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (18 Jan 2022) by Andrew Sayer
AR by Terhikki Manninen on behalf of the Authors (20 Jan 2022)
Short summary
A new method for cloud-correcting observations of surface albedo is presented for AVHRR data. Instead of a binary cloud mask, it applies cloud probability values smaller than 20% of the A3 edition of the CLARA (CM SAF cLoud, Albedo and surface Radiation dataset from AVHRR data) record provided by the Satellite Application Facility on Climate Monitoring (CM SAF) project of EUMETSAT. According to simulations, the 90% quantile was 1.1% for the absolute albedo error and 2.2% for the relative error.