Articles | Volume 13, issue 4
Earth Syst. Dynam., 13, 1451–1471, 2022
https://doi.org/10.5194/esd-13-1451-2022
Earth Syst. Dynam., 13, 1451–1471, 2022
https://doi.org/10.5194/esd-13-1451-2022
Research article
28 Oct 2022
Research article | 28 Oct 2022

Exploring the relationship between temperature forecast errors and Earth system variables

Melissa Ruiz-Vásquez et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-183', Constantin Ardilouze, 06 May 2022
    • AC1: 'Reply on RC1', Melissa Ruiz-Vásquez, 08 Jul 2022
  • RC2: 'Comment on egusphere-2022-183', Anonymous Referee #2, 04 Jun 2022
    • AC2: 'Reply on RC2', Melissa Ruiz-Vásquez, 08 Jul 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (11 Jul 2022) by Olivia Martius
AR by Melissa Ruiz-Vásquez on behalf of the Authors (22 Aug 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (30 Aug 2022) by Olivia Martius
RR by Anonymous Referee #1 (05 Sep 2022)
ED: Publish as is (14 Sep 2022) by Olivia Martius
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Short summary
Subseasonal forecasts facilitate early warning of extreme events; however their predictability sources are not fully explored. We find that global temperature forecast errors in many regions are related to climate variables such as solar radiation and precipitation, as well as land surface variables such as soil moisture and evaporative fraction. A better representation of these variables in the forecasting and data assimilation systems can support the accuracy of temperature forecasts.
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