A geostatistical data-assimilation technique for enhancing macro-scale rainfall–runoff simulations

Pugliese, Alessio; Persiano, Simone; Bagli, Stefano; Mazzoli, Paolo; Parajka, Juraj; Arheimer, Berit; Capell, René; Montanari, Alberto; Blöschl, Günter; Castellarin, Attilio

doi:https://doi.org/10.5194/hess-22-4633-2018

Articles | Volume 22, issue 9

https://doi.org/10.5194/hess-22-4633-2018

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

https://doi.org/10.5194/hess-22-4633-2018

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

Articles | Volume 22, issue 9

Research article

|

06 Sep 2018

Research article |

| 06 Sep 2018

A geostatistical data-assimilation technique for enhancing macro-scale rainfall–runoff simulations

Alessio Pugliese, Simone Persiano, Stefano Bagli, Paolo Mazzoli, Juraj Parajka, Berit Arheimer, René Capell, Alberto Montanari, Günter Blöschl, and Attilio Castellarin

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Final revised paper (published on 06 Sep 2018)
Preprint (discussion started on 13 Oct 2017)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Editor-Solicited Comment on "A geostatistical data-assimilation technique for enhancing macro-scale rainfall-runoff simulations"', William Farmer, 17 Oct 2017
- AC1: 'Reply to referee W.H. Farmer', Alessio Pugliese, 15 Jan 2018
RC2: 'Comments on “A geostatistical data-assimilation technique for enhancing macro-scale rainfall-runoff simulations”', Anonymous Referee #2, 01 Nov 2017
- AC2: 'Reply to anonymous referee #2', Alessio Pugliese, 15 Jan 2018
RC3: 'comment on “A geostatistical data-assimilation technique for enhancing macro-scale rainfall-runoff simulations”', Anonymous Referee #3, 15 Nov 2017
- AC3: 'Reply to anonymous referee #3', Alessio Pugliese, 15 Jan 2018

Peer-review completion

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

ED: Publish subject to revisions (further review by editor and referees) (10 Feb 2018) by Fuqiang Tian

AR by Alessio Pugliese on behalf of the Authors (04 May 2018) Author's response Manuscript

ED: Referee Nomination & Report Request started (21 May 2018) by Fuqiang Tian

RR by William Farmer (22 May 2018)

RR by Anonymous Referee #3 (15 Jun 2018)

ED: Publish subject to minor revisions (review by editor) (28 Jun 2018) by Fuqiang Tian

AR by Alessio Pugliese on behalf of the Authors (03 Jul 2018) Author's response Manuscript

ED: Publish as is (13 Jul 2018) by Fuqiang Tian

AR by Alessio Pugliese on behalf of the Authors (20 Jul 2018) Manuscript

Short summary

This research work focuses on the development of an innovative method for enhancing the predictive capability of macro-scale rainfall–runoff models by means of a geostatistical apporach. In our method, one can get enhanced streamflow simulations without any further model calibration. Indeed, this method is neither computational nor data-intensive and is implemented only using observed streamflow data and a GIS vector layer with catchment boundaries. Assessments are performed in the Tyrol region.