Relating street level flows to BT Tower level flows: results from the DAPPLE 2004 campaign J. Barlow 1, A. Dobre 1, R. Smalley 2, S. Arnold 1, A. Tomlin.

Slides:



Advertisements
Similar presentations
Presented at NATO ASI May 2004 Solar-induced thermal effects on the flow in a street canyon Eric Savory Advanced Fluids Mechanics Research Group Dept of.
Advertisements

Turbulent flow over groups of urban-like obstacles
Colman C.C. Wong & Chun-Ho Liu
Bridging the Gap Between Statistics and Engineering Statistical calibration of CFD simulations in Urban street canyons with Experimental data Liora Malki-Epshtein.
Predicting the yield of small wind turbines in the roof-top urban environment S J Watson, D G Infield and M R Harding Centre for Renewable Energy Systems.
Sensitivity of cold air pool evolution in hilly terrain regions B RADLEY J EMMETT -S MITH 1, A NDREW R OSS 1, P ETER S HERIDAN 2, J OHN H UGHES 1 21 st.
ANALYSIS OF TRACER DATA FROM URBAN DISPERSION EXPERIMENTS Akula Venkatram and Vlad Isakov  Motivation for Field Experiments  Field Studies Conducted.
An Examination of Urban Wind Canyons in Reno, Nevada Ben Hatchett, Andrew Joros, Bryan Rae, Erich Uher, and Josh Walston ATMS 360 TRUNK HIT HARD LIKE KIMBO.
Environment Canada, Meteorological Service of Canada, S. Bélair, A. Lemonsu, L. Tong, J. Mailhot CRTI Project # RD.
Session 2, Unit 3 Atmospheric Thermodynamics
Current and future work: the ACTUAL and ClearfLo projects.
THE PARAMETERIZATION OF STABLE BOUNDARY LAYERS BASED ON CASES-99 Zbigniew Sorbjan Marquette University, Milwaukee Zbigniew Sorbjan Marquette University,
Reading: Text, (p40-42, p49-60) Foken 2006 Key questions:
Skyler Goldman, Meteorology, DMES RELATIONSHIP BETWEEN ROUGHNESS LENGTH, STATIC STABILITY, AND DRAG COEFFICIENT IN A DUNE ENVIRONMENT.
Carole Helfter 1, Anja Tremper 2, Giulia Zazzeri 3, Simone Kotthaus 4, Janet Barlow 4, Sue Grimmond 4 and Eiko Nemitz 1. Sources of greenhouse gases and.
Large-eddy simulation of flow and pollutant dispersion in urban street canyons under different thermal stratifications W. C. Cheng and Chun-Ho Liu * Department.
PARTICLE FLUXES MEASURED BY EDDY COVARIANCE ABOVE AND WITHIN A DOWNTOWN URBAN CANOPY I.D. Longley, M.W. Gallagher School of Earth, Atmospheric & Environmental.
Mountain Waves entering the Stratosphere. Mountain Waves entering the Stratosphere: New aircraft data analysis techniques from T-Rex Ronald B. Smith,
The impact of boundary layer dynamics on mixing of pollutants Janet F.Barlow 1, Tyrone Dunbar 1, Eiko Nemitz 2, Curtis Wood 1, Martin Gallagher 3, Fay.
BT Tower research APRIL network meeting on BT Tower research 26 th January 2010
Urban Meteorology S. E. Belcher Department of Meteorology, University of Reading A. Agusti-Panareda, J. F. Barlow, M. J. Best, O. Coceal, S. L. Gray, I.
The effect of ship shape and anemometer location on wind speed measurements obtained from ships B I Moat 1, M J Yelland 1, A F Molland 2 and R W Pascal.
COST 715 Meteorology Applied to Urban Air Pollution Problems September 98-September 2003 Problem Issues covered Successes Conclusions.
Calculation of wildfire Plume Rise Bo Yan School of Earth and Atmospheric Sciences Georgia Institute of Technology.
Reducing uncertainty in NEE estimates from flux measurements D. Hollinger, L. Mahrt, J. Sun, and G.G. Katul Ameriflux Meeting, Boulder CO., October 20,
SODAR: Uses and Acceptance Laura Tabor Wind Engineering Intern EAPC Wind Energy Services August 7, 2009.
School of something FACULTY OF OTHER THE SENSITIVITY OF A 3D STREET CANYON CFD MODEL TO UNCERTAINTIES IN INPUT PARAMETERS James Benson*, Nick Dixon, Tilo.
Introduction & Background DAPPLE is a 4-year EPSRC funded project whose aim is to enhance understanding of pollutant dispersion processes in realistic.
Windy Cities
The DAPPLE project: Overview and wind tunnel experiments Alan Robins 1, Paul Hayden 1, Janet Barlow 2, and the DAPPLE Consortium Home Office CBRN S&T Programme.
Hiromasa Nakayama*, Klara Jurcakova** and Haruyasu Nagai*
Effects of different surface types and human activities.
Wind Science 101: I. Overview of Wind Patterns Eugene S. Takle Professor Department of Agronomy Department of Geological and Atmospheric Science Director,
1 Part 2: Urban climate Dr Janet Barlow Department of Meteorology, University of Reading MSc Intelligent Buildings March 2009.
D ispersion of A ir P ollutants & their P enetration into the L ocal E nvironment EPSRC Infrastructure & Environment Programme Dr Samantha Arnold (C.Geog.)
Results from the SMEAR III urban measurement station
UK Consortium Project funded by the EPSRC S. Arnold (1&2), H. ApSimon (1), J. Barlow (2), S. Belcher (2), M. Bell (3), R. Britter (4), H. Cheng (5), R.
Aude Lemonsu, S. Bélair, J. Mailhot. Urban canopy models are physically-based models parameterizing radiative, energetic and turbulent exchanges between.
Yarko Niño Department of Civil Engineering, Universidad de Chile THE WATER ENVIRONMENT AND HUMAN NEEDS: Ingeniería Civil A CASE STUDY INVOLVING THE HYDRODYNAMICS.
Observational and theoretical investigations of turbulent structures generated by low-Intensity prescribed fires in forested environments X. Bian, W. Heilman,
1/26 APPLICATION OF THE URBAN VERSION OF MM5 FOR HOUSTON University Corporation for Atmospheric Research Sylvain Dupont Collaborators: Steve Burian, Jason.
1 Indirect evidence of vertical humidity transport during very stable conditions at Cabauw Stephan de Roode
A canopy model of mean winds through urban areas O. COCEAL and S. E. BELCHER University of Reading, UK.
1 Equations of Motion Buoyancy Ekman and Inertial Motion September 17.
Atmospheric boundary layers and turbulence I Wind loading and structural response Lecture 6 Dr. J.D. Holmes.
CITES 2005, Novosibirsk Modeling and Simulation of Global Structure of Urban Boundary Layer Kurbatskiy A. F. Institute of Theoretical and Applied Mechanics.
Windprofiler Radars and detection of STE events W.K. Hocking University of Western Ontario.
PAG/ASG Meeting Monday, 14th July, 2003 University of Surrey 30BC03.
Barry Baker 1, Rick Saylor 1, Pius Lee 2 1 National Oceanic and Atmospheric Administration Air Resources Laboratory Atmospheric Turbulence and Diffusion.
High Meteorology: Wind throughout the boundary-layer
DAPPLEDAPPLE Summary – 09/12/02 Introductory Review and Questions following morning presentations Discussions - Met, Tracer Release, Traffic Future Meetings:
DAPPLE Science Meeting Tuesday 30 th November 2004, Imperial College London. Air Flow – Fieldwork: Sam Arnold (1&2), Adrian Dobre (2), Rob Smalley (3),
Scales of Motion, Reynolds averaging September 22.
Validation of urbanSTREAM Using JU2003 CRTI RD Project Review Meeting Canadian Meteorological Centre August 22-23, 2006.
DAPPLE wind tunnel studies Hong Cheng Tom Lawton Paul Hayden Sandro Baldi Matteo Carpentieri Alan Robins.
A revised formulation of the COSMO surface-to-atmosphere transfer scheme Matthias Raschendorfer COSMO Offenbach 2009 Matthias Raschendorfer.
Interfacing Model Components CRTI RD Project Review Meeting Canadian Meteorological Centre August 22-23, 2006.
Observations of cold air pooling in a narrow mountain valley Allison Charland, Craig Clements, Daisuke Seto Department of Meteorology and Climate Science.
Evaluating a three-beam lidar wind-profiling method in urban areas
LA-UR The Effect of Boundary-Layer Scheme on WRF model simulations of the Joint Urban 2003 Field Campaign Matthew A. Nelson1, M. J. Brown1, S.
TERRAINS Terrain, or land relief, is the vertical and horizontal dimension of land surface. Terrain is used as a general term in physical geography, referring.
VERTICAL AXIS WIND TURBINE:
Performance of a new urban land-surface scheme in an operational mesoscale model for flow and dispersion Ashok Luhar, Marcus Thatcher, Peter Hurley Centre.
Meso-scale Model's Results
Inter-Relations within DAPPLE - The Determinants for Exposure
Case study of an urban heat island in London, UK: Comparison between observations and a high resolution numerical weather prediction model Siân Lane, Janet.
The Turbulent Structure of the Urban Boundary Layer
E. Dellwik, A. Papettaa, J. Arnqvist, M. Nielsena and T. J. Larsena
September 9 to 13, 2013; Reading, United Kingdom
Large-eddy simulation of an observed evening transition boundary layer
Presentation transcript:

Relating street level flows to BT Tower level flows: results from the DAPPLE 2004 campaign J. Barlow 1, A. Dobre 1, R. Smalley 2, S. Arnold 1, A. Tomlin 2, S. Belcher 1 1 Department of Meteorology, University of Reading, UK 2 Energy and Resources Research Institute, University of Leeds, UK

Street canyon flow Street level flows Street canyon, aspect ratio H/W=0.6 Perpendicular flow

Flow “rectification” means that street level flow pattern is very sensitive to outer flow direction Oblique flows

Flow “rectification” means that street level flow pattern is very sensitive to outer flow direction Oblique flows For accurate prediction of street level flow or dispersion  Need suitable reference measurement

Vegetation canopies: use windspeed or friction velocity at canopy top Choice of reference U/U H z/H 1 1 Urban canopies: Roof-top reference practical BUT local obstructions cause wakes, limited representativity

Vegetation canopies: use windspeed or friction velocity at canopy top Urban canopies: Roof-top reference practical BUT local obstructions cause wakes, limited representativity TODAY: Results from DAPPLE 2004 campaign in London, referencing street level flow Compare roof-top and upper level references Choice of reference U/U R z/H 1 1 stable Higher reference “cleaner” BUT stability can affect flow  Klein and Clark (2007) Oklahoma City, stable conditions, frequent nocturnal jets better to use rooftop ref as higher ref in “decoupled” flow

DAPPLE 2004 Field Campaign Equipment: 11 3D ultrasonic anemometers Qinetiq Zephir Doppler lidar (3 rd June) Campaign duration: 19 th April to 13 th June 2004 Site: mean building height 21m (radius of 200m) plan area index λ P ~ 0.5 frontal area index λ F ~ 0.2 (bearing ~240°) WCC LIB BT

WCC ref WCC LIB BT

LIB ref WCC LIB BT

Heights of measurement Uninterrupted flow Flow influenced by buildings Z WCC, LIB = 17m H= 21 m z BT = 190 m Z ~ 2-3H Z = H Z ~ 9H Z ~ 0.2H

Evaluating reference sites Turbulence intensity Local flow direction BT Tower: circles Small, approx. constant LIB: triangles Peaks associated with wakes

Windspeed and direction Windspeed ratio: LIB near neutral limit 0.23 Direction: LIB better correlation with BT ref

Vector decomposition model Roof top wind = channelled + perpendicular In-street wind components: u 1 =au r1 u 2 =bu r2 In-street wind direction: tan  u 2  u 1 = b/a tan  r (Dobre et al. (2005), Atmospheric Environment, 39(26), ) θrθr u r1 u r2 θ u1u1 u2u2

Evaluation using Dobre et al. model BT Tower: best fit of predicted direction to data WCC ref LIB ref

Conclusions Mean flow pattern in street is most closely related to upper level reference on BT Tower (z ~ 9H)  Develop BT Tower as centralised reference in London (5 year long ACTUAL project) Occasional “decoupling” events when stable overnight or in low wind periods Stable layers not common for London (<1% of 6 weeks) therefore upper level reference more representative than for Oklahoma / Klein and Clark 2007  Overnight urban stability depends on regional scale forcing, not just local urban energy balance

Stable “decoupling” of turbulence 2 nd May ‘04 Correlation street level TKE with U BT 2 = 0.24 (whole campaign) cf for U LIB 2 Correlation street level TKE with U BT 2 = 0.14 (overnight)

Bulk Richardson number >0.25, stable conditions Stable “decoupling” of turbulence 2 nd May ‘04

Dobre et al. model for different sites Site 3 z ~0.3HSite 4 z ~0.3H Site 11 z ~0.1H WCC LIB BT