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REVIEW 3 major objections 4 minor 49 references

Impact of Wind Direction on Flow and Turbulent Statistics Over a Realistic Urban Area: A Large-Eddy Simulation Study

T0 review · 3 major / 4 minor · reviewed 2026-08-08 · deepseek-v4-flash

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Pith's one-line read A 16-direction LES of a Barcelona district shows pedestrian-level flow is strongly wind-direction dependent, yet double-averaged velocity and turbulence profiles collapse across all directions, with two persistent inflection points.

desk verdict A valuable, carefully executed LES campaign whose central collapse claim is credible, but the headline lower inflection point is under-supported and needs quantitative backup before it becomes a definitive finding. read the letter →

arxiv 2608.04136 v1 pith:3FLXDMLS submitted 2026-08-04 physics.flu-dyn

Josep M. Duró , Ernest Mestres , Ming Teng , Oriol Lehmkuhl , Ivette Rodríguez This is my paper · ORCID
classification physics.flu-dyn
keywords large-eddysimulationurbancanopylayerwinddirectionpedestrian-leveldouble-averagingroughnesssublayerventilationcorridorsatmosphericboundary
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

This paper uses 16 large-eddy simulations of the atmospheric boundary layer over a real Barcelona neighborhood, one per 22.5-degree increment around the compass, to separate local from neighborhood-scale effects of wind direction. It seeks to establish that although pedestrian-level airflow reorganizes dramatically as the wind rotates, forming or destroying accelerated street-corridor flows, the double-averaged vertical profiles of mean velocity and turbulence intensity are nearly direction-independent. It further claims that these averaged profiles consistently show two inflection points: one slightly below the average building height, marking a shear-driven mixing layer, and a second near pedestrian level at about 0.08 to 0.10 average building heights, marking the transition from recirculating near-ground flow to connected intra-canopy transport. This matters because it suggests that district-scale aerodynamic parameterizations may safely ignore wind direction, while local ventilation, comfort, and dispersion assessments still require direction-specific simulations.

What carries the argument

The machinery is high-resolution large-eddy simulation combined with double-averaging. Sixteen cases are produced by rotating the city geometry while keeping the inlet and precursor turbulent boundary-layer inflow fixed, so all orientations share the same boundary-condition implementation; the meshes use fourth-order spectral elements with roughly 5.0e8 degrees of freedom and sub-meter pedestrian-level resolution. Double-averaging (Reynolds time averaging followed by spatial averaging) is the tool that separates local directional heterogeneity from the neighborhood-scale response, and the effective frontal area density λ_f,eff ≡ λ_f H_avg/H_std is used to connect local morphology to pedestrian-level wind metrics.

What would settle it

Re-run the same district for one wind direction using two different geometry rotations that should be physically identical (e.g., the 180-degree case and the same geometry rotated by 22.5 degrees with inflow adjusted accordingly) and compare the double-averaged profiles; if the two representations differ by more than the inter-direction scatter seen in the present profiles, the collapse is partly a numerical artifact.

Watch

Extended reading notes

Core claim

The central discovery is the coexistence of strong local directionality with quasi-isotropic neighborhood-scale statistics. At pedestrian level, wind direction activates or suppresses preferential channeling corridors, switching between continuous accelerated bands aligned with major streets and fragmented cellular patterns under oblique inflow. Yet when the time-averaged fields are spatially averaged across the whole district, the double-averaged vertical profiles of mean streamwise velocity and streamwise velocity variance collapse for all sixteen wind directions. The mean velocity profile exhibits two distinct inflection points: one slightly below the average building height, consistent with a mixing-layer regime above the canopy, and a second near z ≈ 0.08–0.10 H_avg that separates a sheltered, recirculating near-ground layer from more connected transport within the canopy. The lower inflection point is morphology-dependent and direction-dependent when the analysis is restricted to subdomains, while the turbulence intensity peak is systematically located between the average and maximum building heights, implicating the tallest structures as dominant sources of turbulent kinetic energy.

Load-bearing premise

The collapse of the double-averaged profiles depends on rotating the city geometry instead of the wind direction being dynamically equivalent and numerically unbiased across all sixteen orientations, while the mesh sensitivity check is performed for only one direction (Φ = 180 degrees).

Editorial extensions

If this is right

  • District-scale aerodynamic parameterizations of roughness and drag can plausibly be direction-agnostic for this class of heterogeneous urban morphology.
  • Local studies of pedestrian comfort, pollution dispersion, or ventilation must retain direction-specific simulations because corridor activation depends on the alignment between wind and street network.
  • The lower inflection point at about 0.08–0.10 H_avg can serve as a diagnostic of the transition between sheltered recirculation and connected transport within a real canopy.
  • The effective frontal density λ_f,eff orders pedestrian-level wind exposure better than plan area density alone in the analyzed zones.
  • Turbulence intensity peaks between H_avg and H_max across all directions, pointing to tall buildings as the main source of turbulent kinetic energy above the canopy.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • If the profile collapse is generic, it should persist for other heterogeneous districts; a testable extension is to apply the same sixteen-direction protocol to a regular street grid, where stronger directional anisotropy in the double-averaged profiles would be expected.
  • The direction-dependence of the lower inflection point could be developed into a quantitative ventilation-connectivity metric, e.g., by correlating its height with pollutant residence time or scalar exchange rates in each subdomain.
  • Because only the city is rotated and the precursor inflow stays fixed, the equivalence of geometry rotation and wind rotation is assumed; an explicit test would be to run one orientation twice with two different but statistically equivalent precursor inflows.
  • The near-isotropy appears to emerge from building-height disorder and orientation scatter, suggesting that the averaging area needed to reach quasi-isotropy may itself be a morphological property worth quantifying.
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Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

3 major / 4 minor

Summary. The paper presents building-resolving large-eddy simulations of neutral atmospheric boundary-layer flow over the Pedralbes district in Barcelona, using the SOD2D spectral-element solver with the Vreman subgrid model and a precursor inflow. Sixteen wind directions are simulated by rotating the city geometry relative to a fixed inlet, with meshes of roughly 5.0e8 points and pedestrian-level resolution near 1 m. The authors report strong directional sensitivity at pedestrian level, with preferential ventilation corridors forming for wind directions aligned with the street network, while double-averaged vertical profiles of mean velocity and streamwise turbulence intensity collapse across all wind directions. They further identify two inflection points in the mean velocity profile: one slightly below H_avg and a second at z approximately 0.08-0.10 H_avg, interpreted as a transition between near-ground recirculating flow and more connected intra-canopy transport. Subdomain analyses show that the lower inflection point is morphology- and direction-dependent.

Significance. If the central claims hold, the paper provides a valuable and unusual dataset: sixteen systematically varied inflow directions over a realistic urban district, with long sampling times (160-170 eddy turnover times), high-order spatial discretization, and direct statistics that do not rely on fitted parameters for the collapse or inflection-point observations. The proposed scale separation—strong local directionality coexisting with quasi-isotropic double-averaged profiles—would be practically relevant for reduced-order urban parameterizations and for interpreting local versus neighborhood-scale ventilation metrics. The paper also makes a concrete, falsifiable prediction about the existence and location of a lower inflection point, which is a useful starting point for future canopy-flow studies. The strengths include the precursor-inflow methodology, the explicitly stated mesh-sensitivity study for one direction, and the careful comparison of sampling durations with earlier urban LES work.

major comments (3)
  1. [Section 4.4, Fig. 10; Sections 3.1.1 and 3.1.2] The lower inflection point at z = 0.08-0.10 H_avg, i.e., approximately 1.5-1.9 m for H_avg = 19.27 m, is asserted from visual inspection of the double-averaged profiles, without any derivative computation, curvature quantification, confidence interval, or grid-convergence test at that height. This height range is precisely where the vertical resolution is coarsest relative to the canopy and where the equilibrium rough-wall log-law model is applied at the ground. The only mesh assessment (Appendix A) compares p = 2 and p = 4 pointwise profiles at eight stations for a single inflow direction and does not report the double-averaged profile below z/H_avg around 0.2. As a result, the headline novelty—the second inflection point—could be a numerical artifact of the wall model or of insufficient near-wall resolution. I ask the authors to quantify the curvature of the double-averaged profile in this layer, to report uncertainty or spread across the 16 directions, and to demonstrate that the inflection persists under mesh refinement (including the lowest 0.2 H_avg) for at least a second wind direction.
  2. [Sections 2 and 3.1.1; Appendix A] The across-direction collapse is a central claim, but the comparison is made across 16 different meshes (4.8e8 to 5.2e8 points) that are produced by rotating the city geometry rather than by rotating the inflow. The mesh sensitivity study is performed only for Phi = 180 degrees, so there is no direct evidence that the observed directional invariance of the double-averaged profiles is independent of resolution differences between orientations. I request a per-orientation description of the refinement zones (e.g., element sizes in the pedestrian layer and in the vertical column) and, ideally, a second mesh-sensitivity check for a contrasting direction, or an explicit demonstration that the refinement pattern is statistically equivalent across rotations. Without this, the apparent collapse could partly reflect numerical smoothing in less resolved orientations rather than a physical property of the urban morphology.
  3. [Section 4.4, Fig. 10] The statement that the double-averaged profiles 'collapse remarkably across all wind directions' is not quantified. The visual spread in Fig. 10 appears modest, but the paper makes a strong practical claim—that direction-agnostic parameterizations may be sufficient at neighborhood scale—without reporting a quantitative measure of the collapse, such as the maximum or RMS normalized deviation of the 16 profiles from their ensemble mean, or the sampling uncertainty of each profile given the finite averaging time. I ask the authors to add such a metric and to state how the collapse compares with the estimated statistical error bars. This would also place the lower inflection point on a firmer footing, since a spread of a few percent in the near-wall region could be comparable to the shear variation that defines the inflection.
minor comments (4)
  1. [Section 2] The domain distances are quoted inconsistently: upstream distance is given as 70 H_avg in one place and 65 H_avg later, downstream as 140 H_avg versus 124 H_avg, and lateral distance as 97 H_avg versus 91 H_avg. Please reconcile these numbers.
  2. [Section 4.4] The text states 'with H_avg/H_max = 0.42', but the reported values H_avg = 19.27 m and H_max = 67.29 m give H_avg/H_max = 0.286. If H_std/H_avg = 0.42 was intended, the notation should be corrected.
  3. [Appendix A] The appendix is called 'Annex A' in Section 3.1.1 and 'Appendix A' elsewhere; please use one consistent label.
  4. [Fig. 10 caption] The caption says 'The black dashed line denotes the average building height, H_avg, and the red dashed line the maximum building height, H_max,' but it would be clearer to also state in the caption that the lower inflection point appears near z/H_avg = 0.08-0.10, since the reader cannot infer the inflection location from the printed figure alone.

Circularity Check

0 steps flagged · score 0.0 of 10

No significant circularity: the central LES statistics are direct simulation outputs, the fitted log-law parameters are diagnostic outputs rather than inputs, and the self-citations are non-load-bearing validation references.

full rationale

The paper's central claims—directional sensitivity at pedestrian level, double-averaged collapse across 16 wind directions, and the two inflection points in the mean velocity profile—are direct statistics extracted from the LES flow fields, not quantities produced by fitting or by construction from an ansatz. The log-law parameters u*, d, and z0 in Table 1 are diagnosed after the simulation: u* is computed from total surface drag, and d and z0 are fitted in a fixed layer above Hmax. They are used for the illustrative inner-scale plot in Fig. 4, but they do not control the Fig. 10 collapse or the inflection-point identification. The lower inflection point at z≈0.08–0.10Havg is read from the double-averaged profile; whether it is numerically robust is a resolution and wall-model concern, not a circularity concern. Self-citations to Teng et al. (2025) and Gasparino et al. (2024) supply the solver description and prior wind-tunnel validation, which are external evidence, and the central results do not reduce to those references. The single-direction mesh study in Appendix A limits generalizability of the inflection point, but that is an evidentiary limitation rather than a circular derivation. No step in the paper's derivation chain is equivalent by construction to its own inputs.

Assumptions & free parameters 2 free parameters · 6 assumptions · 0 invented entities

The central claims are direct statistics from LES, so no fitted constants control the main result. The log-law d and z0 are fitted outputs, not inputs. The main assumptions are modeling choices: neutral ABL inflow, equivalence of rotating geometry, turbulence closure and wall model, averaging domain, and sampling duration. No new physical entities are introduced.

free parameters (2)
  • Log-law displacement height d/H_avg = 0.275 to 1.001 across directions
    Fitted to inertial-sublayer velocity profiles for each wind direction (Table 1). This is a secondary output, not used to establish the collapse or inflection-point claims.
  • Log-law roughness length z0/H_avg = 0.050 to 0.146 across directions
    Fitted together with d in Section 4.1. Again a secondary aerodynamic characterization, not an input to the central claims.
assumptions (6)
  • domain assumption Neutral ABL precursor inflow with z0=1.53 m and u*=0.596 m/s is representative of the approaching wind for all 16 directions.
    Section 3.1.2; all directional cases use the same inflow, so directional differences in the results stem only from the city geometry.
  • domain assumption Rotating the city geometry with fixed inlet and outlet is equivalent to rotating the wind direction.
    Section 2: 'the city geometry is rotated progressively, while maintaining the inlet boundary fixed.' Assumes no boundary-condition artifacts as orientation changes.
  • domain assumption Vreman SGS closure with no-slip building walls and a rough-wall log-law at the ground accurately reproduces urban canopy flow.
    Section 3; validation is cited to Teng et al. 2025 rather than shown in this paper.
  • domain assumption Double-averaging over the 1.7 by 1.9 km district and the four subdomains captures neighborhood-scale statistics independent of the averaging region.
    Section 4.4; the collapse and inflection-point findings are sensitive to the chosen averaging domain.
  • domain assumption Statistical sampling over 160 to 170 ETT is sufficient to converge first and second moments and the location of the lower inflection point.
    Section 3.1.3; no convergence test is reported for the inflection point itself.
  • domain assumption The Kanda et al. (2013) log-law fitting range z in [Hmax+0.2Havg, Hmax+Havg] is appropriate for heterogeneous geometry.
    Section 4.1; this affects the reported d and z0 values, which are secondary results.

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Cite this review

Pith. "Pith review of Impact of Wind Direction on Flow and Turbulent Statistics Over a Realistic Urban Area: A Large-Eddy Simulation Study." pith.science (2026). https://pith.science/paper/3FLXDMLS

@misc{pith2026260804136,
  author       = {Pith},
  title        = {Pith review of: Impact of Wind Direction on Flow and Turbulent Statistics Over a Realistic Urban Area: A Large-Eddy Simulation Study},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/3FLXDMLS}},
  note         = {Machine review of arXiv:2608.04136}
}
read the original abstract

Effects of wind direction in realistic urban canopies remain difficult to characterize systematically because local flow patterns, building-height variability, and turbulent statistics within a realistic urban canopy may respond differently to changes in the approaching wind. To investigate these multi-scale directional impacts, we conducted high-resolution large-eddy simulations of the atmospheric boundary layer over the Zona Universitaria Pedralbes district in Barcelona. The computational meshes employ fourth-order spectral elements, yielding pedestrian-level resolutions below 1 m and resulting in approximately 5.0e8 degrees of freedom. Sixteen wind directions uniformly distributed over 360deg are simulated to capture the full directional response of the urban fabric.

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Works this paper leans on

49 extracted references · 37 canonical work pages

  1. [1]

    a \" a , T. , J \

    barticle Auvinen , M. , Boi , S. , Hellsten , A. , Tanhuanp \" a \" a , T. , J \" a rvi , L. : Study of realistic urban boundary layer turbulence with high-resolution large-eddy simulation . Atmosphere 11 ( 2 ), 1 -- 41 ( 2020 ) 10.3390/atmos11020201 barticle

    work page doi:10.3390/atmos11020201 2020

  2. [2]

    , Hagishima , A

    barticle Abd Razak , A. , Hagishima , A. , Ikegaya , N. , Tanimoto , J. : Analysis of airflow over building arrays for assessment of urban wind environment . Building and Environment 59 , 56 -- 65 ( 2013 ) 10.1016/j.buildenv.2012.08.007 barticle

    work page doi:10.1016/j.buildenv.2012.08.007 2013

  3. [3]

    , Maronga , B

    barticle Akinlabi , E. , Maronga , B. , Giometto , M.G. , Li , D. : D ispersive fluxes within and over a real urban canopy: a large-eddy simulation study . Boundary-Layer Meteorology 185 ( 1 ), 93 -- 128 ( 2022 ) barticle

    work page 2022

  4. [4]

    , Montazeri , H

    barticle Antoniou , N. , Montazeri , H. , Neophytou , M. , Blocken , B. : CFD simulation of urban microclimate: Validation using high-resolution field measurements . Science of the Total Environment 695 , 133743 ( 2019 ) 10.1016/j.scitotenv.2019.133743 barticle

    work page arXiv 2019

  5. [5]

    , Coceal , O

    botherref Barlow , J.F. , Coceal , O. : A review of urban roughness sublayer turbulence. Meteorology Research and Development Technical Report 527 (2009) botherref

    work page 2009

  6. [6]

    , Coceal , O

    barticle Blunn , L.P. , Coceal , O. , Nazarian , N. , Barlow , J.F. , Plant , R.S. , Bohnenstengel , S.I. , Lean , H.W. : Turbulence characteristics across a range of idealized urban canopy geometries . Boundary-Layer Meteorology 182 ( 2 ), 275 -- 307 ( 2022 ) barticle

    work page 2022

  7. [7]

    : Computational Fluid Dynamics for urban physics: Importance , scales, possibilities, limitations and ten tips and tricks towards accurate and reliable simulations

    barticle Blocken , B. : Computational Fluid Dynamics for urban physics: Importance , scales, possibilities, limitations and ten tips and tricks towards accurate and reliable simulations . Building and Environment 91 , 219 -- 245 ( 2015 ) 10.1016/j.buildenv.2015.02.015 barticle

    doi:10.1016/j.buildenv.2015.02.015 2015

  8. [9]

    , Coceal , O

    barticle Claus , J. , Coceal , O. , Thomas , T.G. , Brandford , S. , Belcher , S.E. , Castro , I.P. : Wind-direction effects on urban-type flows . Boundary-Layer Meteorology 142 ( 2 ), 265 -- 287 ( 2012 ) 10.1007/s10546-011-9667-4 barticle

    doi:10.1007/s10546-011-9667-4 2012

Show all 49 references
  1. [10]

    , Thomas , T.G

    barticle Coceal , O. , Thomas , T.G. , Castro , I.P. , Belcher , S.E. : Mean flow and turbulence statistics over groups of urban-like cubical obstacles . Boundary-Layer Meteorology 121 ( 3 ), 491 -- 519 ( 2006 ) barticle

    2006

  2. [11]

    , Xie , Z.T

    barticle Castro , I.P. , Xie , Z.T. , Fuka , V. , Robins , A.G. , Carpentieri , M. , Hayden , P. , Hertwig , D. , Coceal , O. : Measurements and Computations of Flow in an Urban Street System . Boundary-Layer Meteorology 162 ( 2 ), 207 -- 230 ( 2017 ) 10.1007/s10546-016-0200-7...

    2017 doi

  3. [12]

    , Yang , Y

    barticle Cheng , W.C. , Yang , Y. : Scaling of Flows Over Realistic Urban Geometries: A Large-Eddy Simulation Study . Boundary-Layer Meteorology 186 ( 1 ), 125 -- 144 ( 2023 ) 10.1007/s10546-022-00749-y barticle

    2023 doi

  4. [13]

    , Takemi , T

    barticle Duan , G. , Takemi , T. : Predicting urban surface roughness aerodynamic parameters using random forest . Journal of Applied Meteorology and Climatology 60 ( 7 ), 999 -- 1018 ( 2021 ) 10.1175/JAMC-D-20-0266.1 barticle

    2021 doi

  5. [14]

    , Nakamae , K

    botherref Duan , G. , Nakamae , K. , Takemi , T. : Impacts of urban morphometric indices on ventilation . Building and Environment 229(December 2022) (2023) 10.1016/j.buildenv.2022.109907 botherref

    2023

  6. [15]

    , Hellsten , A

    botherref Franke , J. , Hellsten , A. , Schlunzen , K.H. , Carissimo , B. : The COST 732. Best Practice Guideline for CFD simulation of flows in the urban environment: a summary . Technical report (2007). 10.1504/IJEP.2011.038443 botherref

    2007 arXiv

  7. [16]

    , Christen , A

    barticle Giometto , M.G. , Christen , A. , Meneveau , C. , Fang , J. , Krafczyk , M. , Parlange , M.B. : Spatial characteristics of roughness sublayer mean flow and turbulence over a realistic urban surface . Boundary-Layer Meteorology 160 ( 3 ), 425 -- 452 ( 2016 ) 10.1007/s1...

    2016 doi

  8. [17]

    , Surm , K

    barticle Gronemeier , T. , Surm , K. , Harms , F. , Leitl , B. , Maronga , B. , Raasch , S. : Evaluation of the dynamic core of the PALM model system 6.0 in a neutrally stratified urban environment: Comparison between les and wind-tunnel experiments . Geoscientific Model Devel...

    2021 doi

  9. [18]

    , Spiga , F

    barticle Gasparino , L. , Spiga , F. , Lehmkuhl , O. : SOD2D: A GPU-enabled spectral finite elements method for compressible scale-resolving simulations . Computer Physics Communications 297 , 109067 ( 2024 ) 10.1016/j.cpc.2023.109067 barticle

    2024

  10. [19]

    , Beeck , J

    barticle García-Sánchez , C. , Beeck , J. , Gorlé , C. : Predictive large eddy simulations for urban flows: Challenges and opportunities . Building and Environment 139 , 146 -- 156 ( 2018 ) 10.1016/j.buildenv.2018.05.007 barticle

    2018 doi

  11. [20]

    , Giljarhus , K.E.T

    barticle H gbo , T.O. , Giljarhus , K.E.T. : Sensitivity of urban morphology and the number of CFD simulated wind directions on pedestrian wind comfort and safety assessments . Building and Environment 253 ( February ), 111310 ( 2024 ) 10.1016/j.buildenv.2024.111310 barticle

    2024

  12. [21]

    : Turbulent Flows Over Rough Walls

    barticle Jimenez , J. : Turbulent Flows Over Rough Walls . Annual Review of Fluid Mechanics 36 ( 1 ), 173 -- 196 ( 2004 ) 10.1146/annurev.fluid.36.050802.122103 barticle

    2004

  13. [22]

    , Baik , J.J

    barticle Kim , J.J. , Baik , J.J. : A numerical study of the effects of ambient wind direction on flow and dispersion in urban street canyons using the RNG k- turbulence model . Atmospheric Environment 38 ( 19 ), 3039 -- 3048 ( 2004 ) 10.1016/j.atmosenv.2004.02.047 barticle

    2004 doi

  14. [23]

    , Gruber , A

    barticle Kennedy , C.A. , Gruber , A. : Reduced aliasing formulations of the convective terms within the Navier-Stokes equations for a compressible fluid . Journal of Computational Physics 227 ( 3 ), 1676 -- 1700 ( 2008 ) barticle

    2008

  15. [24]

    , Inagaki , A

    barticle Kanda , M. , Inagaki , A. , Miyamoto , T. , Gryschka , M. , Raasch , S. : A New Aerodynamic Parametrization for Real Urban Surfaces . Boundary-Layer Meteorology 148 ( 2 ), 357 -- 377 ( 2013 ) 10.1007/s10546-013-9818-x barticle

    2013 doi

  16. [25]

    , Israeli , M

    barticle Karniadakis , G.E. , Israeli , M. , Orszag , S.A. : High-order splitting methods for the incompressible navier-stokes equations . Journal of Computational Physics 97 ( 2 ), 414 -- 443 ( 1991 ) 10.1016/0021-9991(91)90007-8 barticle

    1991 doi

  17. [26]

    , Chrysokentis , G

    barticle Owen , H. , Chrysokentis , G. , Avila , M. , Mira , D. , Houzeaux , G. , Borrell , R. , Cajas , J.C. , Lehmkuhl , O. : Wall-modeled large-eddy simulation in a finite element framework . International Journal for Numerical Methods in Fluids 92 ( 1 ), 20 -- 37 ( 2020 ) ...

    2020 doi

  18. [27]

    , Hang , J

    barticle Lin , M. , Hang , J. , Li , Y. , Luo , Z. , Sandberg , M. : Quantitative ventilation assessments of idealized urban canopy layers with various urban layouts and the same building packing density . Building and Environment 79 , 152 -- 167 ( 2014 ) 10.1016/j.buildenv.20...

    2014 doi

  19. [28]

    , Hang , J

    botherref Lin , Y. , Hang , J. , Yang , H. , Chen , L. , Chen , G. , Ling , H. , Sandberg , M. , Claesson , L. , Lam , C.K.C. : Investigation of the Reynolds number independence of cavity flow in 2D street canyons by wind tunnel experiments and numerical simulations . Building...

    2021

  20. [29]

    , Bou-Zeid , E

    barticle Llaguno-Munitxa , M. , Bou-Zeid , E. , Hultmark , M. : The influence of building geometry on street canyon air flow: Validation of large eddy simulations against wind tunnel experiments . Journal of Wind Engineering and Industrial Aerodynamics 165 , 115 -- 130 ( 2017 ...

    2017 doi

  21. [30]

    , Goudarzi , S.A

    barticle Monnier , B. , Goudarzi , S.A. , Vinuesa , R. , Wark , C. : Turbulent structure of a simplified urban fluid flow studied through stereoscopic particle image velocimetry . Boundary-Layer Meteorology 166 ( 2 ), 239 -- 268 ( 2018 ) 10.1007/s10546-017-0303-9 barticle

    2018 doi

  22. [31]

    : Street design and urban canopy layer climate

    barticle Oke , T.R. : Street design and urban canopy layer climate . Energy and Buildings 11 ( 1-3 ), 103 -- 113 ( 1988 ) barticle

    1988

  23. [32]

    , Mills , G

    bbook Oke , T.R. , Mills , G. , Christen , A. , Voogt , J.A. : Urban Climates . Cambridge University Press ( 2017 ) bbook

    2017

  24. [33]

    , Yang , M

    barticle Oh , G. , Yang , M. , Choi , J. : Large-eddy simulation-based wind and thermal comfort assessment in urban environments . Journal of Wind Engineering and Industrial Aerodynamics 246 , 105682 ( 2024 ) 10.1016/j.jweia.2024.105682 barticle

    2024

  25. [34]

    , Antonia , R.A

    barticle Raupach , M.R. , Antonia , R.A. , Rajagopalan , S. : Rough-wall turbulent boundary layers . Applied Mechanics Review 44 ( 1 ), 1 -- 25 ( 1991 ) 10.1115/1.3119492 barticle

    1991 doi

  26. [35]

    , Finnigan , J.J

    barticle Raupach , M.R. , Finnigan , J.J. , Brunei , Y. : Coherent eddies and turbulence in vegetation canopies: The mixing-layer analogy . Boundary-Layer Meteorology 78 ( 3 ), 351 -- 382 ( 1996 ) 10.1007/BF00120941 barticle

    1996 doi

  27. [36]

    , Kalkman , I

    barticle Ricci , A. , Kalkman , I. , Blocken , B. , Burlando , M. , Freda , A. , Repetto , M.P. : Large-scale forcing effects on wind flows in the urban canopy: Impact of inflow conditions . Sustainable Cities and Society 42 , 593 -- 610 ( 2018 ) 10.1016/j.scs.2018.08.012 barticle

    2018 doi

  28. [37]

    , Shaw , R.H

    barticle Raupach , M.R. , Shaw , R.H. : Averaging procedures for flow within vegetation canopies . Boundary-Layer Meteorology 22 ( 1 ), 79 -- 90 ( 1982 ) 10.1007/BF00128057 barticle

    1982 doi

  29. [38]

    , Coceal , O

    barticle Santiago , J.L. , Coceal , O. , Martilli , A. : How to parametrize urban-canopy drag to reproduce wind-direction effects within the canopy . Boundary-Layer Meteorology 149 , 43 -- 63 ( 2013 ) 10.1007/s10546-013-9833-y barticle

    2013 doi

  30. [39]

    , Gu , Z

    barticle Shui , T. , Gu , Z. , Wang , W. : Three-dimensional large eddy simulation urban neighborhood model with updated building drag coefficient and universal multiscale Smagorinsky model . Physics of Fluids 36 075167 ( 2024 ) 0.1063/5.0216385 barticle

    2024

  31. [40]

    , Rooney , G.G

    barticle S \" u tzl , B.S. , Rooney , G.G. , Reeuwijk , M. : Drag Distribution in Idealized Heterogeneous Urban Environments . Boundary-Layer Meteorology 178 ( 2 ), 225 -- 248 ( 2021 ) 10.1007/s10546-020-00567-0 barticle

    2021 doi

  32. [41]

    , Blocken , B

    barticle Toparlar , Y. , Blocken , B. , Vos , P. , Heijst , G.J.F.V. , Janssen , W.D. , Hooff , T.V. , Montazeri , H. , Timmermans , H.J.P. : CFD simulation and validation of urban microclimate : A case study for Bergpolder Zuid , Rotterdam . Building and Environment 83 , 79 -...

    2015 doi

  33. [42]

    , Dur\'o Diaz , J.M

    barticle Teng , M. , Dur\'o Diaz , J.M. , Mestres , E. , Muela Castro , J. , Lehmkuhl , O. , Rodriguez , I. : Atmospheric boundary layer over urban roughness: Validation of large-eddy simulation . Physics of Fluids 37 ( 6 ), 065129 ( 2025 ) 10.1063/5.0265556 barticle

    2025 doi

  34. [43]

    , Ma , Y

    barticle Tian , G. , Ma , Y. , Chen , Y. , Wan , M. , Chen , S. : Impact of urban canopy characteristics on turbulence dynamics . Building and Environment 250 , 111183 ( 2024 ) 10.1016/j.buildenv.2024.111183 barticle

    2024

  35. [44]

    : An eddy-viscosity subgrid-scale model for turbulent shear flow: A lgebraic theory and applications

    barticle Vreman , A.W. : An eddy-viscosity subgrid-scale model for turbulent shear flow: A lgebraic theory and applications . Physics of Fluids 16 ( 10 ), 3670 -- 3681 ( 2004 ) barticle

    2004

  36. [45]

    , Yang , T

    barticle Wang , W. , Yang , T. , Li , Y. , Xu , Y. , Chang , M. , Wang , X. : Identification of pedestrian-level ventilation corridors in downtown beijing using large-eddy simulations . Building and Environment 182 , 107169 ( 2020 ) 10.1016/j.buildenv.2020.107169 barticle

    2020

  37. [46]

    , Li , J

    barticle Wang , Y. , Li , J. , Liu , W. , Zhang , S. , Dong , J. , Liu , J. : Prediction of urban airflow fields around isolated high-rise buildings using data-driven non-linear correction models . Building and Environment 246 , 110894 ( 2023 ) 10.1016/j.buildenv.2023.110894 barticle

    2023

  38. [47]

    , Llaguno-Munitxa , M

    barticle Wang , J. , Llaguno-Munitxa , M. , Li , Q. , Giometto , M. , Bou- Zeid , E. : Wind Extremes over Built Terrain: Characterization and Geometric Determinants . Boundary-Layer Meteorology 191 ( 2 ), 11 ( 2025 ) 10.1007/s10546-025-00899-9 barticle

    2025 doi

  39. [48]

    , Castro , I.P

    barticle Xie , Z. , Castro , I.P. : LES and RANS for turbulent flow over arrays of wall-mounted obstacles . Flow, Turbulence and Combustion 76 ( 3 ), 291 -- 312 ( 2006 ) barticle

    2006

  40. [49]

    , Chen , R

    barticle Yan , Z. , Chen , R. , Cai , X.C. : Large eddy simulation of the wind flow in a realistic full-scale urban community with a scalable parallel algorithm . Computer Physics Communications 270 , 108170 ( 2022 ) 10.1016/j.cpc.2021.108170 barticle

    2022

  41. [50]

    , Montazeri , H

    barticle Zheng , X. , Montazeri , H. , Blocken , B. : Impact of building façade geometrical details on pollutant dispersion in street canyons . Building and Environment 212 , 108746 ( 2022 ) 10.1016/j.buildenv.2021.108746 barticle

    2022

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Reviewed August 8, 2026 · model on record in the stance chip above.