Global hydro-climatic biomes identified via multitask learning

Papagiannopoulou, Christina; Miralles, Diego G.; Demuzere, Matthias; Verhoest, Niko E. C.; Waegeman, Willem

doi:https://doi.org/10.5194/gmd-11-4139-2018

Articles | Volume 11, issue 10

https://doi.org/10.5194/gmd-11-4139-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-11-4139-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 10

Model evaluation paper

|

12 Oct 2018

Model evaluation paper |

| 12 Oct 2018

Global hydro-climatic biomes identified via multitask learning

Christina Papagiannopoulou, Diego G. Miralles, Matthias Demuzere, Niko E. C. Verhoest, and Willem Waegeman

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Final revised paper (published on 12 Oct 2018)
Supplement to the final revised paper
Preprint (discussion started on 25 Apr 2018)
Supplement to the preprint

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

SC1: 'Code Availability', Lutz Gross, 04 May 2018
- AC1: 'Response to the 'Code Availability' comment', Christina Papagiannopoulou, 04 May 2018
SC2: 'Review of gmd-2018-92', Stephanie Horion, 01 Jun 2018
- RC1: 'Referee report', Stephanie Horion, 05 Jun 2018
  - AC2: 'Response to the Referee report', Christina Papagiannopoulou, 18 Jun 2018
RC2: 'Some remarks on "Global hydro-climatic biomes identified via multi-task learning"', Anonymous Referee #2, 04 Jul 2018
- AC3: 'Response to the report of Anonymous Referee #2', Christina Papagiannopoulou, 11 Jul 2018

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Christina Papagiannopoulou on behalf of the Authors (21 Aug 2018) Author's response Manuscript

ED: Publish as is (29 Aug 2018) by David Topping

AR by Christina Papagiannopoulou on behalf of the Authors (05 Sep 2018) Manuscript

Short summary

Common global land cover and climate classifications are based on vegetation–climatic characteristics derived from observational data, ignoring the interaction between the local climate and biome. Here, we model the interplay between vegetation and local climate by discovering spatial relationships among different locations. The resulting global hydro-climatic biomes correspond to regions of coherent climate–vegetation interactions that agree well with traditional global land cover maps.