Scale effect challenges in urban hydrology highlighted with a distributed hydrological model

Ichiba, Abdellah; Gires, Auguste; Tchiguirinskaia, Ioulia; Schertzer, Daniel; Bompard, Philippe; Ten Veldhuis, Marie-Claire

doi:https://doi.org/10.5194/hess-22-331-2018

Articles | Volume 22, issue 1

https://doi.org/10.5194/hess-22-331-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-22-331-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 22, issue 1

Research article

|

15 Jan 2018

Research article |

| 15 Jan 2018

Scale effect challenges in urban hydrology highlighted with a distributed hydrological model

Abdellah Ichiba, Auguste Gires, Ioulia Tchiguirinskaia, Daniel Schertzer, Philippe Bompard, and Marie-Claire Ten Veldhuis

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Final revised paper (published on 15 Jan 2018)
Preprint (discussion started on 22 May 2017)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Scale effect challenges in urban hydrology highlighted with a distributed hydrological model', Jamal Alikhani, 16 Jun 2017
- AC1: 'Replay to referee 1', Abdellah Ichiba, 31 Aug 2017
RC2: 'Review of Ichiba et al. for HESS “Scale effect challenges in urban hydrology highlighted with a distributed hydrological model”', Anonymous Referee #2, 11 Jul 2017
- AC2: 'Replay to referee 2', Abdellah Ichiba, 31 Aug 2017

Peer-review completion

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

ED: Publish subject to revisions (further review by Editor and Referees) (04 Sep 2017) by Nadia Ursino

AR by Abdellah Ichiba on behalf of the Authors (15 Oct 2017) Author's response Manuscript

ED: Publish as is (24 Oct 2017) by Nadia Ursino

AR by Abdellah Ichiba on behalf of the Authors (03 Nov 2017)

Short summary

This paper proposes a two-step investigation to illustrate the extent of scale effects in urban hydrology. First, fractal tools are used to highlight the scale dependency observed within GIS data inputted in urban hydrological models. Then an intensive multi-scale modelling work was carried out to confirm effects on model performances. The model was implemented at 17 spatial resolutions ranging from 100 to 5 m. Results allow the understanding of scale challenges in hydrology modelling.