Welcome to QES’s documentation!

Behnam Bozorgmehr , Jeremy A Gibbs , Fabien Margairaz , Eric R Pardyjak , Rob Stoll , ,

The Quick Environmental Simulation (QES) code is a low-computational-cost framework designed to compute high-resolution wind and concentration fields in complex atmospheric-boundary-layer environments.

The modules are the following:

• QES-Winds is the new wind model computing divergence-free steady-state 3D wind field in complex domain.

• QES-TURB is a stand-alone turbulence model that computes turbulence fields from the calculated wind field in QES-Winds.

• QES-Plume is a stand-alone Lagrangian dispersion model with the ability to calculate spatially and temporally varying scalar concentrations.

• QES-Fire is a fire-spread model.

• QES-Transport is a transport model (to be implemented)

Note

QES requires a NVIDIA GPU with Compute Capability of 7.0 (or higher).

User Guide

• Getting Started
  • Introduction
• Installation
  • Required Packages
  • Cloning QES-Winds from GitHub
  • Building QES
  • Build Types
• Running QES
  • Running from the Command Line
  • slurm Template (for CUDA 11.4 build
  • Testing QES

Technical Guide

• QES-Winds
  • Introduction
  • QES-Winds Domain
  • Staggered Grid
  • Digital Elevation Model (DEM) and ESRI Shapefile
  • Initial Wind Field
  • Empirical Parameterizations
  • Mass Consistent Solver
• QES-Turb
• QES-Plume
  • The model
  • The XML file

References

• Publications
• Reference List

Acknowledgements

This work was partly supported by grants from:

• The National Institute of Environment Research (NIER), funded by the Ministry of Environment (MOE) of the Republic of Korea (NIER-SP2019-312). In addition, we would like to acknowledge Dr. Jae-Jin Kim from Department of Environmental Atmospheric Sciences, Pukyong National University, Republic of Korea, as the main Principal Investigator (PI) on the grant from the National Institute of Environment Research (NIER).

• The United States Department of Agriculture National Institute for Food and Agriculture Specialty Crop Research Initiative Award No. 2018-03375.

• The United States Department of Agriculture Agricultural Research Service through Research Support Agreement 58-2072-0-036.