part 1. atmospheric variables...1 part 1. atmospheric variables temperature – a measure of the...
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Part 1. Atmospheric Variables
Temperature – a measure of the kinectic energy of molecules – heat content
of atmosphere or earth’s surface.
Humidity – moisture content of the atmosphere or how close it is to
saturation.
Precipitation – supply of water substance from atmosphere-rain-snow-hail
precip. Is very discontinuous in space.
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Wind – air in motion – it is a vector having both magnitude (wind speed)
and direction (600 – 1200 - 3000)
Pressure – Force per unit area – or weight of an air column per unit area.
Horizontal pressure differences accelerate winds.
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Part 2. Communication with the atmosphere or atmospheric sensors
T – thermomenters – mercury thermometers, bimetallic strips, resistance
thermometers (thermisters), thermocouples, radiometers.
Recording - electronic magnetic tape – thermograph charts.
Humidity (RH) – hygrometers dew point/frost point hygrometers – cool air
to saturation – most accurate.
Hygroscopic coated bars (carbon) which change conductivity with
increasing moisture – wet/dry bulb – IR absorption sensors.
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Pressure Aneroid barometer (evacuated, expandable chamber) Mercury barometer
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Precipitation
Rain gauges – tipping bucket or weighing gauges – snow depth; snow
weight (snow pillow)
Wind
Direction – weather vane
Speed – cup or propeller
Hot wire anemometers
Upper Air - radiosonde
T, P, RH, wind speed and direction by radiotheatolite tracking of balloon
movement – New GPS positioning.
Satellite – cloud patterns, temp. of cloud tops, moisture in layers by
microwave emissions.
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Surface Met. Network
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Surface Station Model
Because weather systems are three dimensional, both surface and upper-air
weather maps are needed. A very different approach is used for the two
types of maps, however. Surface weather data are plotted on a constant
altitude (usually sea-level) surface, and upper-air weather data are plotted on
constant-pressure (isobaric) surfaces.
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Upper Air Sounding Network
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Remote Sensors
• Fundamentals
• Advantages: o Fully automated thus require only an occasional technician.
o Excellent coverage (horizontally) even over oceans.
• Disadvantages: o Does not measure state variables directly. They must be
inferred or retrieved.
o In the case of satellites, poor vertical resolution.
o Expensive.
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Emission Spectra For “blackbodies”
Planck’s Law:
[ ]
15
2
16 2 2 *1 2
exp( / ) 1
3.74 10 ; 1.44 10
CEC T
C x Wm C x m K
λ λ λ−
=−
= =
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Wein Displacement Law max 2897 /mK Tµλ =
Stefan Boltzman Law Blackbody irradiance
* 4E Tσ= (obtained by integrating Planck’s eqs. Overall wavelength
8 2 45.67 10 degx Wmσ − − −=
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Kirchoff’s Law
aλ λε= Materials that are strong absorbers at a λ are also strong emitters at that λ .
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4 610 10cm mµ − −= =
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Figure 7.15. 6.7 µm channel image, for 1 September 1983 at 0515 GMT, showing cool areas (light tones) and warmer, drier areas (dark tones).
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Radars
Radar Reflectivity (Z) 6
i iA N D= If size-spectra of drops can be estimated, then Z ∝ rain rate.
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Triple Doppler Radars
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Doppler Radars
(a) (b)
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Velocity-Azimuth-Display (VAD)
Obtain average wind in layers for a column.
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Multiparameter Radars – Polarization Diversity – CHILL
More accurate estimates of rainfall – rain vs. hail.
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Wind Profilers
They don’t need precipitation or bugs to get reflection just variations in
refractive index.
RASS Temp. Retrieval
s vc T∝
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WSR88D
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Instrumented Aircraft
ACARS – winds, T Coming soon RH
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Gust Probes
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Scanning Airborne Doppler Radar
Figure 2.15. Scan geometry for the NCAR ELDORA system.
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Figure 1.8. Vertical temperature profile for the U.S. Standard Atmosphere.
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Northern Hemisphere