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Evaluation of Atmospheric Temperature Profiling off a Building Side in the Early Morning Hours. Ryan Brown Department of Marine and Environmental Systems Florida Institute of Technology Melbourne, Florida 32901 July 20, 2005. Temperature Profiling. Why are we doing this? - PowerPoint PPT Presentation
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Evaluation of Atmospheric Evaluation of Atmospheric Temperature Profiling off a Temperature Profiling off a Building Side in the Early Building Side in the Early
Morning HoursMorning HoursRyan BrownRyan Brown
Department of Marine and Environmental SystemsDepartment of Marine and Environmental SystemsFlorida Institute of TechnologyFlorida Institute of Technology
Melbourne, Florida 32901Melbourne, Florida 32901July 20, 2005July 20, 2005
Temperature ProfilingTemperature Profiling
Why are we doing Why are we doing this?this?
How the data was How the data was collectedcollected
ResultsResults ConclusionsConclusions
Why are we Doing This?Why are we Doing This? To locate To locate
the the Nocturnal Nocturnal Boundary Boundary Layer (NBL)Layer (NBL)
To obtain a To obtain a low level low level temperaturtemperature profilee profile
http://lidar.ssec.wisc.edu/papers/akp_thes/node6.htm
What is the NBL?What is the NBL? AMS def.- The cool layer of air adjacent to AMS def.- The cool layer of air adjacent to
the ground that forms at night. the ground that forms at night. Forms from radiative cooling and surface Forms from radiative cooling and surface
friction friction Can extend for a few hundred metersCan extend for a few hundred meters Interacting processes can occur within the Interacting processes can occur within the
stable NBLstable NBL– Patchy sporadic turbulencePatchy sporadic turbulence– Internal gravity wavesInternal gravity waves– Drainage flowsDrainage flows– Inertial oscillationsInertial oscillations– Nocturnal jetsNocturnal jets
What is a What is a Sounding Sounding Profile?Profile?
A temperature A temperature analysis of the analysis of the atmosphere atmosphere above one above one particular spot particular spot on the surfaceon the surface
A measures A measures the the atmospheric atmospheric and dew point and dew point temperaturestemperatures
http://weather.admin.niu.edu/cgi-bin/getmodel
Measuring the TemperatureMeasuring the Temperature
www.fit.edu
2.5 m
5 m
10 m
15 m
20 m
22.5 m
Depth
Height22.5 m
20 m
15 m
10 m
5 m
2.5 m
Measuring the TemperatureMeasuring the Temperature
Measuring the TemperatureMeasuring the Temperature
A temperature probe A temperature probe was lowered from the was lowered from the top of the building to top of the building to the bottomthe bottom
Connected to a laptop Connected to a laptop on the groundon the ground
Two types of runsTwo types of runs– Slow, with 1 minute at Slow, with 1 minute at
each deptheach depth– Fast, from top to Fast, from top to
bottom without bottom without stoppingstopping
Measuring the TemperatureMeasuring the Temperature
June 8June 8– 4 total runs4 total runs
3 slow3 slow 1 fast1 fast
June 9June 9– 8 total runs8 total runs
2 slow2 slow 6 fast6 fast
SimulationsSimulations– Fast RunsFast Runs– What the profile What the profile
should be without lagshould be without lag– Equation based on Equation based on
Newtonian coolingNewtonian cooling– ΔΔT= Lapse Rate * Velocity T= Lapse Rate * Velocity
* Time + Temp* Time + Tempoo
A Glance at Real Time DataA Glance at Real Time Data
TemperaturTemperature fluctuates e fluctuates ±.035 ±.035 degrees per degrees per secondsecond
End of
Run
Beginning of Run
Bottom of
Building
24
24.2
24.4
24.6
24.8
25
25.2
25.4
5:16 5:31 5:45 6:00 6:14 6:28 6:43 6:57 7:12 7:26 7:40
Time
Tem
per
atu
re (
C)
Temperature Graph From the Temperature Graph From the Morning of June 8Morning of June 8
The Fast Run of June 8The Fast Run of June 8
0
5
10
15
20
25
24.78 24.8 24.82 24.84 24.86 24.88 24.9 24.92 24.94 24.96 24.98 25
Temperature (C)
Dep
th (
m)
Down Up
Fast RunFast Run– Occurred Occurred
from from 0715 to 0715 to 07230723
– IncreasinIncreasing Temp. g Temp. the whole the whole timetime
A Look at the Fast Run Without A Look at the Fast Run Without LagLag
24.75
24.8
24.85
24.9
24.95
25
0 50 100 150 200 250 300 350 400 450 500
Time (s)
Tem
per
atu
re (
C)
Simulation Actual
Temperature Graph from the Temperature Graph from the Morning of June 9Morning of June 9
26.3
26.35
26.4
26.45
26.5
26.55
26.6
26.65
26.7
26.75
5:16 5:25 5:34 5:42 5:51 6:00 6:08 6:17 6:25 6:34 6:43 6:51 7:00 7:09 7:17 7:26 7:35
Time
Tem
per
atu
re (
C)
Fast runs for the morning of Fast runs for the morning of June 9June 9
0
5
10
15
20
25
26.30 26.35 26.40 26.45 26.50 26.55 26.60 26.65 26.70 26.75
Temperature (C)
Dep
th (
m)
5:27-5:32 5:36-5:41 5:52-5:58 6:11-6:16 6:22-6:27 7:11-7:17
Taking a Closer Look at Fast Taking a Closer Look at Fast Run 2Run 2
26.3
26.35
26.4
26.45
26.5
26.55
26.6
26.65
26.7
26.75
5:16 5:25 5:34 5:42 5:51 6:00 6:08 6:17 6:25 6:34 6:43 6:51 7:00 7:09 7:17 7:26 7:35
Time
Tem
per
atu
re (
C)
A Look at Run 2 Without LagA Look at Run 2 Without Lag
26.355
26.36
26.365
26.37
26.375
26.38
26.385
26.39
26.395
26.4
26.405
0 50 100 150 200 250 300 350
Time (s)
Tem
per
atu
re (
C)
Simulation Actual
ConclusionsConclusions
Temperature Inversion Temperature Inversion – The Crawford building was underneath The Crawford building was underneath
the NBLthe NBL The Summer months in FL is not the The Summer months in FL is not the
best time to Search for the NBL due best time to Search for the NBL due to little radiative coolingto little radiative cooling– NBL is not shallowNBL is not shallow
AcknowledgementsAcknowledgements
All Field Project ResearchersAll Field Project Researchers Mike SplittMike Splitt
– Pearl Program for SimulationsPearl Program for Simulations
Questions?Questions?
Arlena Moses