Spatio-temporal variations and uncertainty in land surface modelling for high latitudes: univariate response analysis

Leibovici, Didier G.; Quegan, Shaun; Comyn-Platt, Edward; Hayman, Garry; Val Martin, Maria; Guimberteau, Mathieu; Druel, Arsène; Zhu, Dan; Ciais, Philippe

doi:https://doi.org/10.5194/bg-17-1821-2020

Articles | Volume 17, issue 7

https://doi.org/10.5194/bg-17-1821-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/bg-17-1821-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 7

Research article

|

03 Apr 2020

Research article |

| 03 Apr 2020

Spatio-temporal variations and uncertainty in land surface modelling for high latitudes: univariate response analysis

Didier G. Leibovici, Shaun Quegan, Edward Comyn-Platt, Garry Hayman, Maria Val Martin, Mathieu Guimberteau, Arsène Druel, Dan Zhu, and Philippe Ciais

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Final revised paper (published on 03 Apr 2020)
Preprint (discussion started on 09 Jul 2019)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Comment on Leibovici et al.', Anonymous Referee #1, 13 Aug 2019
- SC1: 'Added comment on uncertainty interpretation raised by #1 about Pg13 L10 of the manupscript', Didier Leibovici, 18 Sep 2019
- AC4: 'replies to anonymous Referee #1 (updated) and #2 (see also the changes diifferences file in supplement)', Didier Leibovici, 29 Jan 2020
AC1: 'replies to Anonymous Referee #1', Didier Leibovici, 14 Aug 2019
AC2: 'New version after the first review', Didier Leibovici, 27 Nov 2019
- SC2: 'I meant partial review, i.e. reviewer #1', Didier Leibovici, 27 Nov 2019
RC2: 'Comments to the paper Leibovici et al', Anonymous Referee #2, 31 Dec 2019
- AC3: 'Replies to anonymous Referee #1 (updated) and #2', Didier Leibovici, 29 Jan 2020

Peer-review completion

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

ED: Publish subject to minor revisions (review by editor) (31 Jan 2020) by Alexey V. Eliseev

AR by Didier Leibovici on behalf of the Authors (03 Feb 2020) Author's response Manuscript

ED: Publish subject to technical corrections (06 Feb 2020) by Alexey V. Eliseev

AR by Didier Leibovici on behalf of the Authors (06 Feb 2020) Manuscript

Short summary

Analysing the impact of environmental changes due to climate change, e.g. geographical spread of climate-sensitive infections (CSIs) and agriculture crop modelling, may require land surface modelling (LSM) to predict future land surface conditions. There are multiple LSMs to choose from. The paper proposes a multivariate spatio-temporal data science method to understand the inherent uncertainties in four LSMs and the variations between them in Nordic areas for the net primary production.