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A review of hydrostatic concepts, including the hydrostatic equation, gas law, and definition of virtual temperature. It derives the hypsometric equation to obtain heights from temperature and moisture data, and discusses the relationship between pressure, temperature, and layer thickness. The document also includes a table showing the estimated thickness errors due to temperature errors in radiosonde measurements.
Typology: Study notes
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Recall the hydrostatic equation, gas law, and definition of virtual temperature:
(1) dp/dz = -ρg , ρ = p/RTv , Tv ≈ (1 + .61w)
To derive an expression for obtaining heights from temperature (and moisture) data, we first separate variables:
dz = - RTv dp g p
and integrate over an atmospheric layer: z 2 p 2
z 2 z 1 p 1
dz = - R g
p 2
1
Tv d(lnp)
Let Tv be the mean virtual temperature between p 1 and p 2.
Then 2 1
p v p
v 2 1 lnp/p g
d(lnp) g
z z
2 − =− ∫ 1 = −
or z 2 = z 1 + RTv ln p 1 /p 2 (2) g
which is the hypsometric equation. If we define z 2 – z 1 as the thickness h, then the “thickness equation” is _ h = RTv^ ln p 1 /p 2 g
For a fixed lower pressure (p 1 ) and upper pressure (p 2 ) – e.g., for the 1000-500 mb layer, R/g ln p 1 /p 2 is a constant K. Thus _ h = KTv (3)
which emphasizes the point that the thickness of a layer is solely due to its mean virtual temperature.
We can use equation (3) to estimate expected thickness errors due to radiosonde temperature errors. First take differentials:
_ δh = KδTv
If we assume a 1°C systematic error in the radiosonde thermistor, we can construct the following table for the corresponding thickness errors:
Layer δh (m) 1000 – 850 mb 5 1000 – 700 mb 11 1000 – 500 mb 20 1000 – 300 mb 35 1000 – 200 mb 47 1000 – 100 mb 68
You can allow for about 50% of these values as the margin of error in the reported height values when adjusting your contours for smoothness and obeying geostrophic wind spacing.
You should be able to prove to yourself the following applications of hydrostatic concepts:
(i) troughs (lows) tilt toward cold air
(ii) ridges (highs) tilt toward warm air
(iii) cold lows intensify with height
(iv) warm lows weaken with height
(v) warm highs intensify with height
(vi) cold highs weaken with height
You should use the above rules to develop vertical consistency between contour analysis at different levels.