Evaluation of the QUIC-URB wind solver and QESRadiant radiation-transfer model using a dense array of urban meteorological observations

Pascale Girard, Daniel F. Nadeau, Eric R. Pardyjak, Matthew Overby, Peter Willemsen, Rob Stoll, Brian N. Bailey, Marc B. Parlange

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

This study assesses the performance of QUIC-URB, a fast-response urban flow model, and QESRadiant, a ray tracing radiation transfer model. Both models are components of the QUIC EnvSim 3D urban micro-scale model, which aims to simulate meteorological variables at high spatiotemporal resolution (~ 1 min, ~ 1 m) in urban settings. The evaluation was performed over a 5.85 ha sector of a university campus, in which complex 3D building geometry, vegetation, and various surface materials were modelled. First, wind speeds computed with QUIC-URB were compared to 30-min measurements over 10 days at 19 locations. Although results showed a significant underestimation for locations in the wake of buildings, considering model assumptions, its inexpensive computational cost, and measurement uncertainty, the agreement between computed and measured wind speeds is good (r2 = 0.53, mean absolute error = 0.68 m s− 1). Second, incoming radiation computed with QESRadiant was compared to 2-min measurements over seven clear sky days at 17 locations. Overall, the agreement between computed and measured incoming solar radiation was excellent (r2 = 0.95). For both models, simulations were run successfully on a standard laptop machine with highly reasonable computational cost, on the order of minutes.

Original languageEnglish (US)
Pages (from-to)657-674
Number of pages18
JournalUrban Climate
Volume24
DOIs
StatePublished - Jun 2018

Keywords

  • Building resolving
  • Model validation
  • Ray-tracing
  • Urban flow
  • Urban vegetation

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