Articles | Volume 14, issue 11
Atmos. Meas. Tech., 14, 7103–7121, 2021
https://doi.org/10.5194/amt-14-7103-2021
Atmos. Meas. Tech., 14, 7103–7121, 2021
https://doi.org/10.5194/amt-14-7103-2021

Research article 12 Nov 2021

Research article | 12 Nov 2021

Global ensemble of temperatures over 1850–2018: quantification of uncertainties in observations, coverage, and spatial modeling (GETQUOCS)

Maryam Ilyas 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 amt-2020-454', Anonymous Referee #2, 16 Feb 2021
    • AC1: 'Reply on RC1', Maryam Ilyas, 30 Mar 2021
  • RC2: 'Comment on amt-2020-454', Anonymous Referee #3, 01 Mar 2021
    • AC2: 'Reply on RC2', Maryam Ilyas, 30 Mar 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Maryam Ilyas on behalf of the Authors (01 Aug 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (04 Aug 2021) by Francis Pope
RR by Anonymous Referee #2 (02 Sep 2021)
ED: Publish subject to minor revisions (review by editor) (22 Sep 2021) by Francis Pope
AR by Maryam Ilyas on behalf of the Authors (27 Sep 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (13 Oct 2021) by Francis Pope
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Short summary
Instrumental temperature records are fundamental to climate science. There are spatial gaps in the distribution of these measurements across the globe. This lack of spatial coverage introduces coverage error. In this research, a methodology is developed and used to quantify the coverage errors. It results in a data product that, for the first time, provides a full description of both the spatial coverage uncertainties along with the uncertainties in the modeling of these spatial gaps.