Articles | Volume 14, issue 9
Model evaluation paper
03 Sep 2021
Model evaluation paper |  | 03 Sep 2021

Multi-sensor analyses of the skin temperature for the assimilation of satellite radiances in the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS, cycle 47R1)

Sebastien Massart, Niels Bormann, Massimo Bonavita, and Cristina Lupu


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-37', Anonymous Referee #1, 04 May 2021
    • AC1: 'Reply on RC1', Sebastien Massart, 13 May 2021
  • CEC1: 'Comment on gmd-2021-37', Astrid Kerkweg, 10 May 2021
    • AC2: 'Reply on CEC1', Sebastien Massart, 13 May 2021
  • RC2: 'Comment on gmd-2021-37', Anonymous Referee #2, 11 May 2021
    • AC3: 'Reply on RC2', Sebastien Massart, 13 May 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Sebastien Massart on behalf of the Authors (01 Jul 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (02 Jul 2021) by Wolfgang Kurtz
RR by Anonymous Referee #1 (06 Jul 2021)
ED: Publish as is (31 Jul 2021) by Wolfgang Kurtz
Short summary
Numerical weather predictions combine data from satellites with atmospheric forecasts. Some satellites measure the radiance emitted by the Earth's surface. To use this data, one must have knowledge of the surface properties, like the temperature of the thin layer above the surface. Error in this temperature leads to a misuse of the satellite data and affects the quality of the weather forecast. We updated our approach to better estimate this temperature, which should help improve the forecast.