11 Apr 2023
 | 11 Apr 2023
Status: this preprint is open for discussion.

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

Jérémy Bernard et al.

Status: open (until 06 Jun 2023)

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 reply
    • AC1: 'Reply on RC1', Jérémy Bernard, 30 May 2023 reply

Jérémy Bernard et al.

Data sets

URock 2023a: Data and Code to use to reproduce the evaluation of the model Jérémy Bernard

Model code and software

URock 2023a: Data and Code to use to reproduce the evaluation of the model Jérémy Bernard

Jérémy Bernard et al.


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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).