Preprints
https://doi.org/10.5194/egusphere-2023-354
https://doi.org/10.5194/egusphere-2023-354
11 Apr 2023
 | 11 Apr 2023

URock 2023a: An open source GIS-based wind model for complex urban settings

Jérémy Bernard, Fredrik Lindberg, and Sandro Oswald

Abstract. URock 2023a is an open source diagnostic model dedicated to wind field calculation in urban setting. It is based on a quick method initially proposed by Röckle and already implemented in the proprietary software QUIC-URB. First, the model method is described as well as its implementation in the free and open source geographic information system called QGIS. Then it is evaluated against wind tunnel measurements and QUIC-URB simulations for four different building settings plus one case with an isolated tree. The correlation between URock and QUIC-URB is high and URock reproduces quite well the spatial variations of the wind speed observed in the wind tunnel experiments. Sources of improvements are highlighted, which are applicable both for URock and QUIC-URB. URock 2023a is available via the Urban Multiscale Environment Predictor (UMEP), a city-based climate service tool designed for researchers and service providers presented as a plugin for QGIS. The model, data and scripts used to write this manuscript can be freely accessed at https://zenodo.org/record/7681245.

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Journal article(s) based on this preprint

16 Oct 2023
URock 2023a: an open-source GIS-based wind model for complex urban settings
Jérémy Bernard, Fredrik Lindberg, and Sandro Oswald
Geosci. Model Dev., 16, 5703–5727, https://doi.org/10.5194/gmd-16-5703-2023,https://doi.org/10.5194/gmd-16-5703-2023, 2023
Short summary
Jérémy Bernard, Fredrik Lindberg, and Sandro Oswald

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-354', Csilla Gal, 29 May 2023
    • AC1: 'Reply on RC1', Jérémy Bernard, 30 May 2023
  • RC2: 'Comment on egusphere-2023-354', Anonymous Referee #2, 11 Jul 2023
    • AC2: 'Reply on RC2', Jérémy Bernard, 13 Jul 2023

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-354', Csilla Gal, 29 May 2023
    • AC1: 'Reply on RC1', Jérémy Bernard, 30 May 2023
  • RC2: 'Comment on egusphere-2023-354', Anonymous Referee #2, 11 Jul 2023
    • AC2: 'Reply on RC2', Jérémy Bernard, 13 Jul 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Jérémy Bernard on behalf of the Authors (04 Aug 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (08 Aug 2023) by Nicola Bodini
AR by Jérémy Bernard on behalf of the Authors (17 Aug 2023)

Journal article(s) based on this preprint

16 Oct 2023
URock 2023a: an open-source GIS-based wind model for complex urban settings
Jérémy Bernard, Fredrik Lindberg, and Sandro Oswald
Geosci. Model Dev., 16, 5703–5727, https://doi.org/10.5194/gmd-16-5703-2023,https://doi.org/10.5194/gmd-16-5703-2023, 2023
Short summary
Jérémy Bernard, Fredrik Lindberg, and Sandro Oswald

Data sets

URock 2023a: Data and Code to use to reproduce the evaluation of the model Jérémy Bernard https://zenodo.org/record/7681245

Model code and software

URock 2023a: Data and Code to use to reproduce the evaluation of the model Jérémy Bernard https://zenodo.org/record/7681245

Jérémy Bernard, Fredrik Lindberg, and Sandro Oswald

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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.

Short summary
The UMEP plug-in integrated in the free QGIS software can now calculate the spatial variation of the wind speed within urban settings. This manuscript shows that the new wind model, URock, fits generally well with observations and highlights the main needed improvements. According to this work, pedestrian wind fields and outdoor thermal comfort can now simply be estimated by any QGIS user (researchers, students and practitioners).