Constarium
← Search

Data · dataset · 2026

Inclusion of building-resolving capabilities into the FastEddy® GPU-LES model using an immersed body force method

Listed in National Center for Atmospheric Research

As a first step toward achieving full physics urban weather simulation capabilities within the resident-GPU large-eddy simulation (LES) FastEddy (R) model, we have implemented and verified/validated a method for explicit representation of building effects.

Description

Herein, we extend the immersed body force method (IBFM) from Chan and Leach (2007, ) to (i) be scale independent and (ii) control building surface temperatures. Through a specific drag-like term in the momentum equations, the IBFM is able to enforce essentially zero velocities within the buildings, in turn resulting in a no-slip boundary condition at the building walls.

In addition, we propose similar forcing terms in the energy and mass conservation equations that allow an accurate prescription of the building temperature. The extended IBFM is computationally efficient and has the potential to be coupled to building energy models. The IBFM exhibits excellent agreement with laboratory experiments of an array of staggered cubes at a grid spacing of Delta=1 mm, demonstrating the applicability of the method beyond the atmospheric scale.

Read the rest (1 more)

In addition, the IBFM is validated at atmospheric scale through simulations of downtown Oklahoma City ( Delta=2 m) using data collected during the Joint Urban 2003 (JU03) field campaign. Our LES IBFM results for mean wind speed, turbulence kinetic energy, and SF6 transport and dispersion compare well to observations and produce turbulence spectra that are in good agreement with sonic anemometer data. Statistical performance metrics for the JU03 simulations are within the range of other LES models in the literature.

Links

Get the data

Where it is published

Catalogue records · 1

Topics

Inferred from text
Geoinformatics 75% · Simulation 75%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
National Center for Atmospheric Researchfcc0ec6c-aea6-4724-802b-14eaa13f9c3b10 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:3704enrichment · data ucar edutaxonomy-embedding@1.1.0title+keywords+description (75%)
concepts[field].local:field:earth-environmentalmapping · data ucar educonnector:data_ucar_edu@1.0.0
concepts[field].local:field:ocean-atmosphericmapping · data ucar educonnector:data_ucar_edu@1.0.0
concepts[method].local:method:simulationenrichment · data ucar edukeyword-concept-rules@1.0.0title+description (75%)
created_datesource · data ucar educonnector:data_ucar_edu@1.0.0
descriptionsource · data ucar educonnector:data_ucar_edu@1.0.0/notes
publication_datesource · data ucar educonnector:data_ucar_edu@1.0.0
titlesource · data ucar educonnector:data_ucar_edu@1.0.0/title
updated_datesource · data ucar educonnector:data_ucar_edu@1.0.0