Published September 12, 2025 | Version v1

Dataset for "Multi-scale analysis of flow over heterogeneous urban environments"

  • 1. Imperial College London

Description

This dataset accompanies the paper
 
Multi-scale analysis of flow over heterogeneous urban environments (2025).
Maarten van Reeuwijk and Jingzi Huang
Boundary-Layer Meteorology
 
If you make use of this dataset, please cite both the paper and the dataset.
 
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The main directory contains the following files and folders:
Functions/:    Auxiliary MATLAB functions.
Figures/:        All the figure files from the paper.
Data/:            Raw simulation data.
main.m:         Loads the simulation data and reproduces the figures in the paper.
coarsegraining_example.m:   an example of efficiently implementing the coarse-graining method in convolution form using Fast-Fourier Transform --- the core of the multi-scale analysis.
 
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Data folder:
 
Simulation geometry:
geom.stl
 
Local time-averaged data (x,y,z)
tdump.302.nc:   contains 3-D fields of variables and budgets.
 
Time- and plane- averaged data (z)
xytdump.302.nc:    contains intrinsically averaged vertical profiles of variables and budgets.
 
Facet time-averaged data
fac.302.nc:    contains variables defined on solid facets.
 
Additional simulation data
facet_sections_*: information on solid facets.
fluid_boundary_*: information on fluid-solid boundary.
solid_*: information on solid areas.
namoptions.302: preset simulation parameters.
 
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Functions folder:
 
Matlab/:    supporting the 'udbase' post-processing class, which reads key input parameters and provides methods to load both field and facet data. Adding it to the path before using 'udbase'.
 
Filter_fft.m: a function that implements the Fast Fourier Transform.
 
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Further information
 
For more details on the dataset and post-processing tutorials, please visit: 'https://udales.github.io/u-dales/'.

 

Files

Dataset.zip

Files (12.2 GB)

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