TopREML: a topological restricted maximum likelihood approach to regionalize trended runoff signatures in stream networks

Müller, M. F.; Thompson, S. E.

doi:https://doi.org/10.5194/hess-19-2925-2015

Articles | Volume 19, issue 6

https://doi.org/10.5194/hess-19-2925-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-19-2925-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 19, issue 6

Research article

|

24 Jun 2015

Research article |

| 24 Jun 2015

TopREML: a topological restricted maximum likelihood approach to regionalize trended runoff signatures in stream networks

M. F. Müller and S. E. Thompson

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Final revised paper (published on 24 Jun 2015)
Supplement to the final revised paper
Preprint (discussion started on 29 Jan 2015)
Supplement to the preprint

Interactive discussion

Status: closed

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

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- Supplement

RC C253: 'Potentially interesting work but presentation needs to improve', Anonymous Referee #1, 22 Feb 2015
- AC C320: 'Response to Reviewer 1', Marc F. Muller, 26 Feb 2015
  - RC C321: 'I am satisfied with these explanations - look forward to seeing the revised manuscript', Anonymous Referee #1, 26 Feb 2015
RC C337: 'Nice study that is bridging recent geostatistical regionalization work', Anonymous Referee #2, 27 Feb 2015
- AC C414: 'Response to reviewer 2', Marc F. Muller, 05 Mar 2015

Peer-review completion

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

ED: Reconsider after major revisions (07 Apr 2015) by Jim Freer

AR by Marc F. Muller on behalf of the Authors (01 May 2015) Author's response Manuscript

ED: Referee Nomination & Report Request started (12 May 2015) by Jim Freer

RR by Anonymous Referee #1 (23 May 2015)

ED: Publish subject to technical corrections (03 Jun 2015) by Jim Freer

AR by Marc F. Muller on behalf of the Authors (16 Jun 2015) Manuscript

Short summary

We introduce TopREML as a method to predict runoff signatures in ungauged basins using linear mixed models with spatially correlated random effects. The nested nature of streamflow networks is accounted for by allowing for stronger correlations between flow-connected basins. The restricted maximum likelihood framework provides best linear unbiased predictions of both the predicted flow variable and its uncertainty as shown in Monte Carlo and cross-validation analyses in Nepal and Austria.