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![Page 1: Linking atmospheric turbulence and surface temperature fluctuations in a street canyon Andreas Christen, University of British Columbia James Voogt, University.](https://reader035.fdocuments.us/reader035/viewer/2022062516/56649dff5503460f94ae7736/html5/thumbnails/1.jpg)
Linking atmospheric turbulence and surface temperature fluctuations
in a street canyonAndreas Christen, University of British ColumbiaJames Voogt, University of Western Ontario
ICUC-7, Yokohama
June 29 to Jul 3, 2009
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Hypothesis
Surface temperatures at the urban-atmosphere interface do not vary only as a consequence of annual and diurnal cycles, surface materials, shading and anthropogenic heat releases.
At higher-frequencies - in the order of seconds to minutes - selected urban facets might further experience abrupt temperature changes due to intermittent (turbulent) energy exchange.
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Why is this of interest?
In contrast to the study of atmospheric turbulence - where spatial measurements are nearly impossible - spatial fields of surface temperatures can be easily recorded at high-frequency using thermal imaging.
Our objective is to evaluate if there are links between fluctuations in surface temperature and turbulent air movements in a street canyon.
Can we use time-sequences of surface temperature fluctuations to infer the movement of turbulent eddies in a complex environment?
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Elgin Street, Vancouver, Canada
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FLIR ThermoVision® A40MThermal scanner with in pan and tilt device
15 m mobile pump-up tower
PC stored data at 1 Hz
Reflective tape
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Fine-wire thermocouples
Net radiometer
Pyranometer
3-D Ultrasonic Anemometer-Thermometer
Infrared thermometer
Tower
Surface station on both sides of canyon (East, West) in FOV of scanner
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Summary - Field activities ‘Elgin Street’
•26 hours of thermal image sequences during a clear-sky situation (Sept 14 14:00 – Sept 15 16:00 PST, 2008):
•Fixed FOV towards North sampled at 1 Hz rate at 320 x 240 pixels (Geometrically corrected).
Continuous 10 Hz surface data from 3D ultrasonic anemometers, thermocouples, IRTs (synchronized with thermal scanner).
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Thermal Scanner - Field of View
QuickTime™ and aGIF decompressor
are needed to see this picture.
24h cycle of mean surface temperatures
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Horizontal wind vector
Circle: 1 m/sNorth-South Axis
East-West Axis
Visualizing wind in the thermal image
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Surface temperature fluctuations day
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Surface temperature fluctuations night
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Fluctuations - Integral standard deviationfor each pixel
Night Day15-Sep-2008 12:3015-Sep-2008 01:30
Sidewalk / Streetlittle fluctuation
Lawnshigh fluctuations
Shadow of street light
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Turbulent energy exchange? Geometric effects?
Sensible heat flux Latent heat flux
Why are lawns showing such a high variability in Ts, but not streets, paths, and walls do not?
Low µ Water availability
Low µGrass is flexible +
Anisotropy
Movement in wind
Dewfall (night waves)
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Can geometric effects explain Ts patterns?
10 minutes of1 Hz measurements
CANYON WEST 2008-09-15 15:20-15:30
FLIR1 pixel ofIRT
ground-based
Anisotropy?
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Correlation between wind and temperature?
2008-09-15 10:30 (10 sec time step)Wind 30 cm above grass
wind speeds upwind slows down
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We observed significant high-frequency fluctuations on materials with low thermal admittance - mainly lawns in our canyon.
Fluctuations are controlled by near-surface wind.
Exchange of heat (and likely water vapor) from urban lawn surfaces is driven by intermittent, lager-scale coherent eddies, moving through the canyon (time scale 30 sec to 2 min).
Promising visualization tool for turbulence.
Summary
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Frederic Chagnon, Environment CanadaBen Crawford, UBC Adrian Jones, UBCRick Ketler, UBC Fred Meier, TU Berlin Kate Liss, UBC Tim Oke, UBC Dieter Scherer, TU BerlinChad Siemens, UBC
And residents of Elgin Street, Vancouver, Canada
Acknowledgements
Funding agencies