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5.7. Urban Wind Fields: URock Analyzer
This plugin is still experimental. Please report any issues to our code repository.
The URock plugin can be used to calculate spatial variations of wind speed and wind direction in 3 dimensions using 2.5D building and vegetation data. The methodology originates from Röckle (1990), has been implemented in proprietary softwares such as QUIC-URB (Brown et al., 2013) or SkyHelios (Fröhlich and Matzarakis, 2018) and is further described in (Bernard et al., 2022 - not published). The current version of the model is 2023a.
- Dialog box
Input lines layer (optional)
Vector file containing lines that will be used for plotting sectional view of the Urban Wind Fields: URock results.
Lines ID field (optional)
Attribute used to identify each line (and thus each figure at the end of the process).
Tick if you want the ‘line’ figure using streams instead of arrows
By default, the sectional view uses arrows to show wind speed and direction. Tick in to use streams to better show recirculations.
Input polygons layer (optional)
Vector file containing polygons that will be used to plot mean horizontal wind speed profiles.
Polygons ID field (optional)
Attribute used to identify each polygon (and thus each line on the plot).
Input wind data file (.nc)
URock output NetCDF file to use as input of the plugin.
Name of the simulation used for saving figure(s) (optional)
This name has only matter for saving purpose.
Java environment path (should be set automatically)
Java is used for some calculation and Python needs to know what is the Java environment path on your computer (a default value should be identified automatically)
Directory to save the figure(s) (optional)
A folder path where will be saved the output files
Starts the algorithm.
Link to this manual page.
Closes the plugin.
The plug-in performance is far from optimum since the NetCDF file is loaded in Java AND in Python. Thus it could take some time if the NetCDF file is large.