The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/19869478

Ruben Schulte; Margreet van Zanten; Bart van Stratum; Jordi Vilà-Guerau de Arellano (2022): DALES v4.2 modified for ammonia plume dispersion and blending-distance estimations. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/19869478.v1

Software

• Other Environmental Sciences

Ammonia, Atmospheric ammonia, blending distance, blending-distance, boundary layer, DALES, Dutch Atmospheric Large Eddy Simulation, Large-eddy simulation, plume dispersion, turbulence

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GPL-3.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Ruben Schulte , Margreet van Zanten , Bart van Stratum , Jordi Vilà-Guerau de Arellano

  

A modified version of the DALES model version 4.2 for the purpose of studying ammonia plume dispersion in a polluted atmosphere. With the data in this repository, the fine-scale simulation framework can be applied to individual locations to study the representativity of (potential new) measurement sites under the local conditions, using the concept of blending-distance.

This repository contains the modified DALES code, instruction, MATLAB processing scripts and example input files of the reference experiment are added to the repository. The modifications with respect to DALES v4.2 are described in the publication.

• 2022-06-01 first online, published, posted

4TU.ResearchData

Zipfile containing instruction files (.docx or .txt) and directories, which include MATLAB data processing scripts (.m), example input files for the DALES model (.txt) and the DALES source code (.f90)

Assessing the representativity of NH3 measurements influenced by boundary-layer dynamics and the turbulent dispersion of a nearby emission source

• http://doi.org/10.5281/zenodo.3759193

https://github.com/dalesteam/dales/tree/4.2_nh3plume

Wageningen University & Research, Department of Environmental Sciences, Meteorology and Air Quality
National Institute for Public Health and the Environment (RIVM)