QuickSampling v1.0: a robust and simplified pixel-based multiple-point simulation approach

Gravey, Mathieu; Mariethoz, Grégoire

doi:https://doi.org/10.5194/gmd-13-2611-2020

Articles | Volume 13, issue 6

https://doi.org/10.5194/gmd-13-2611-2020

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

https://doi.org/10.5194/gmd-13-2611-2020

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

Articles | Volume 13, issue 6

Model description paper

|

08 Jun 2020

Model description paper |

| 08 Jun 2020

QuickSampling v1.0: a robust and simplified pixel-based multiple-point simulation approach

Mathieu Gravey and Grégoire Mariethoz

Download

Final revised paper (published on 08 Jun 2020)
Preprint (discussion started on 22 Nov 2019)

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

SC1: 'Executive Editor Comment on gmd-2019-211', Astrid Kerkweg, 16 Dec 2019
- AC1: 'Authors' response to reviewer's comments', Mathieu Gravey, 04 Feb 2020
RC1: 'Review of Paper', Ute Mueller, 26 Dec 2019
- AC1: 'Authors' response to reviewer's comments', Mathieu Gravey, 04 Feb 2020
RC2: 'Review of gmd-2019-211', Thomas Mejer Hansen, 27 Dec 2019
- AC1: 'Authors' response to reviewer's comments', Mathieu Gravey, 04 Feb 2020
AC1: 'Authors' response to reviewer's comments', Mathieu Gravey, 04 Feb 2020

Peer-review completion

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

AR by Mathieu Gravey on behalf of the Authors (15 Apr 2020) Author's response Manuscript

ED: Publish as is (23 Apr 2020) by Adrian Sandu

AR by Mathieu Gravey on behalf of the Authors (27 Apr 2020)

Short summary

Stochastic simulations are key tools to generate complex spatial structures uses as input in geoscientific models. In this paper, we present a new open-source tool that enables to simulate complex structures in a straightforward and efficient manner, based on analogues. The method is tested on a variety of use cases to demonstrate the generality of the framework.