Articles | Volume 10, issue 11
Geosci. Model Dev., 10, 4187–4205, 2017
https://doi.org/10.5194/gmd-10-4187-2017
Geosci. Model Dev., 10, 4187–4205, 2017
https://doi.org/10.5194/gmd-10-4187-2017

Development and technical paper 17 Nov 2017

Development and technical paper | 17 Nov 2017

Numerical framework for the computation of urban flux footprints employing large-eddy simulation and Lagrangian stochastic modeling

Mikko Auvinen et al.

Model code and software

P4UL, Pre- and Post-Processing Python Library for Urban LES Simulations M. Auvinen https://doi.org/10.5281/zenodo.804851

Download
Short summary
Correct spatial interpretation of a micrometeorological measurement requires the determination of its effective source area, or footprint. In urban areas the use of analytical models becomes highly questionable. This work introduces a computational methodology that enables the generation of footprints for complex urban sites. The methodology is based on conducting high-resolution flow and particle analysis on a model that features a detailed topographic description of a real city environment.