The Global Energy Balance Archive (GEBA) version 2017: a database for worldwide measured surface energy fluxes

Wild, Martin; Ohmura, Atsumu; Schär, Christoph; Müller, Guido; Folini, Doris; Schwarz, Matthias; Hakuba, Maria Zyta; Sanchez-Lorenzo, Arturo

doi:https://doi.org/10.5194/essd-9-601-2017

Articles | Volume 9, issue 2

https://doi.org/10.5194/essd-9-601-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Collection:

Global climate system data products

https://doi.org/10.5194/essd-9-601-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 9, issue 2

Review article

|

23 Aug 2017

Review article |

| 23 Aug 2017

The Global Energy Balance Archive (GEBA) version 2017: a database for worldwide measured surface energy fluxes

Martin Wild, Atsumu Ohmura, Christoph Schär, Guido Müller, Doris Folini, Matthias Schwarz, Maria Zyta Hakuba, and Arturo Sanchez-Lorenzo

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Final revised paper (published on 23 Aug 2017)
Preprint (discussion started on 02 May 2017)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'The Global Energy Balance Archive (GEBA) version 2017: A database for worldwide measured surface energy fluxes', Joseph Michalsky, 30 May 2017
- AC1: 'response to reviever 1', Martin Wild, 18 Jul 2017
RC2: 'Review of The Global Energy Balance Archive (GEBA) version 2017 by Wild et al., 2017', Jörg Trentmann, 06 Jun 2017
- AC2: 'response to reviewer 2', Martin Wild, 18 Jul 2017

Short summary

The Global Energy Balance Archive (GEBA) is a database for the central storage of worldwide measured energy fluxes at the Earth's surface, maintained at ETH Zurich (Switzerland). This paper documents the status of the GEBA version 2017 database, presents the new web interface and user access, and reviews the scientific impact that GEBA data had in various applications. GEBA has continuously been expanded and updated and to date contains around 500 000 monthly mean entries from 2500 locations.