Articles | Volume 14, issue 11
https://doi.org/10.5194/gmd-14-7133-2021
https://doi.org/10.5194/gmd-14-7133-2021
Development and technical paper
 | 
24 Nov 2021
Development and technical paper |  | 24 Nov 2021

How biased are our models? – a case study of the alpine region

Denise Degen, Cameron Spooner, Magdalena Scheck-Wenderoth, and Mauro Cacace

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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 gmd-2021-48', Anonymous Referee #1, 04 Jul 2021
    • AC1: 'Reply on RC1', Denise Degen, 06 Jul 2021
  • RC2: 'Comment on gmd-2021-48', Anonymous Referee #2, 13 Oct 2021
    • AC2: 'Reply on RC2', Denise Degen, 20 Oct 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Denise Degen on behalf of the Authors (20 Oct 2021)  Author's response    Author's tracked changes
ED: Publish as is (24 Oct 2021) by Rohitash Chandra
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Short summary
In times of worldwide energy transitions, an understanding of the subsurface is increasingly important to provide renewable energy sources such as geothermal energy. To validate our understanding of the subsurface we require data. However, the data are usually not distributed equally and introduce a potential misinterpretation of the subsurface. Therefore, in this study we investigate the influence of measurements on temperature distribution in the European Alps.