mrs ch8xpol - engineeringece.uprm.edu/~pol/pdf/atmosphericconstituents.pdf · 4/18/17 5 microwave...
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4/18/17
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• Ulaby• Long• Blackwell• Elachi• Fung• Ruf• Sarabandi• Zebker• Van Zyl
WIRELESS COMMUNICATION
MRS Ch 8 MICROWAVE INTERACTION WITH ATMOSPHERIC CONSTITUENTS
Why use a specific band to measure a specific Earth parameter (Ocean)
Earth Parameters above Ocean
Why use a specific band to measure a specific Earth parameter (Land)
Sensitivity
Earth Parameters above Land
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Chapter 8 Contents
u 8-1 Vertical profile of the atmosphereu 8-2 Absorption and emission by gasesu 8-3 Opacity of the clear atmosphereu 8-4 Emission by the clear atmosphereu 8-5 Extinction by hydrometeorsu 8-6 Dielectric properties of hydrometeorsu 8-7 Extinction and backscattering by clouds, fog, or hazeu 8-8 Extinction and backscattering by rainu 8-9 Radar equation for meteorologyu 8-10 Emission by clouds and rainu 8-11 Error sources and estimation statistics
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Direct & Inverse Problems
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Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Standard Atmosphere
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Atmospheric Composition
• Note that O2 is 21% by volume
• Also, N2 and O2 together account for 99%
Typical Atmosphere in %
78
210.93
NiO2Ar
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Atm. CO2 Concentration 9
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Height Profiles
8.1.4 Pressure Profile
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Water Vapor Density Profile
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Absorption and Emission by Gases
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Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Absorption Spectrum
It follows that:
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Absorption Spectrum (cont.)
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Millimeter-Wave Propagation Model (MPM)
MPM was developed over a 30-year period bythe Institute of Telecommunication Sciences
†MPM is contained in Computer Codes 8.1 to 8.12
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Oxygen Spectrum
• 60 GHz complex (37 lines)• 118.75 GHz• Several significant lines at
frequencies higher than 300 GHz
Note the strong frequency behavior:• At 10 GHz, abs. coeff. is <0.01dB/km
99.8% transmission over 1km
• At 60 GHz, abs. coeff. is >20dB/km<1% transmission over 1 km
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
60-GHZ Complex Opens Up at Low Pressure Levels
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Water Vapor Absorption
Water vapor density can vary from10−2 g/m3 in very cold, dry climates to as much as30 g/m3 in hot, humid climates.
Water vapor has lines centered at:• 22.235 GHz• 183.31 GFz• 325.15 GHz• And at higher frequencies in the IR region
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Relative Humidity
Air Temperature
T [F]
Vapor air can hold[g/kgdry]
Actual Vapor in the air
[gr per kg dry air]
Relative humidity
RH
86o 27.6 10.83 39%
77o 20.4 10.83 53%
68o 14.9 10.83 72%
59o 10.8 10.83 100%
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Electromagnetic Spectrum
¨ Atmospheric Attenuation [dB]
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Absorption/Emission spectrum
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Examples of atmospheric gases
¨ * Green – oxygen atoms 60-93 miles up (100-150 km)* Red – oxygen atoms from 93-155 miles (150-250 km)* Purple – molecular nitrogen up to 60 miles (100 km)* Blue/purple – molecular nitrogen ions above 100 miles (160 km)
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Why is the ocean blue (turquoise)
Least absorbance on blues and greens, therefore Turquoise
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Just look at it! …Is not sky blue.
We’ll discuss why the sky is blue soon.
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Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Ex. Rincón, PR
Look at the color of the water and compare with the color of the sky.
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Comparison of Model to Data
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Atmospheric Opacity
Horizontally stratified model is applicable up to 70o in zenith angle
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Zenith Opacity
T=293Krn=7.5 g/m3
P=1013 hPa
For various water densities
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Opacity from various heights to 32km
The lowermost few kilometers account for most of the attenuation
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Pressure Broadening
Oxygen lines at sea level (pressure broadened)and at a height of 20km (easily resolved).
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Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Atmospheric Transmissivity
For Various Latitudes
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Emission by the ClearAtmosphere
The high attenuation levels at and around the resonant freq. cause TDN to ‘saturate’ at a valueslightly lower thanthe surface temperature T=290K
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
SKY Radiometric Temperature
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
TSKY
For f<1GHz the contributionof TGAL may not be ignored.
This is a serious problem due to the wide range of values possible for TGAL depending on direction.In addition, RFI from man-made sources (radio and TV transmitters)
TSUN= is a function of frequency,also sunspots and flares vary.
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Applicability of Stratified Model
It’s used to about 70o from the zenith.
How good is the Stratified Model?
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Scattering from Hydrometeors
¨ Clouds¨ Snow, Hail, ¨ Rain, Fog
So far, we’ve only considered atmospheric gases, i.e. , clear-sky conditions.
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Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
37
EM interaction with Single Spherical Particles
l Absorption¤ Cross-Section, Qa =Pa /Si¤ Efficiency, xa= Qa /pr2
l Scattered ¤ Power, Ps
¤ Cross-section , Qs =Ps /Si¤ Efficiency, xs= Qs /pr2
l Total power removed by sphere from the incident EM wave, xe = xs+ xa
l Backscatter, Ss(p) = Sisb/4pR2
Si
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Extinction by Hydrometeors
Absorption:
Scattering:We first consider a SINGLE particle.
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Backscattering Cross-Section
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
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Mie Scattering: general solution to EM scattered, absorbed by dielectric sphere.
l Uses 2 parameters (Mie parameters)¤ Size wrt. l :
¤ Speed ratio on both media:
coλπrr e
lpc 2 2
p
==
oc
cb
cp
b kj
nn
n )( p abee
e -====
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
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Mie Solution
l Mie solution
l Where am & bm are the Mie coefficients.
}Re{)12(2),(
)|||)(|12(2),(
12
2
1
22
mm
ma
mm
ms
bamn
bamn
å
å¥
=
¥
=
++=
++=
ccx
ccx
42
Mie coefficients
"'
1
1
1
1
cossin
}Re{}Re{
}Re{}Re{
jnnnjWwhere
WWmnA
WWmnAb
WWmnA
WWmnA
a
o
mmm
mmm
m
mmm
mmm
m
-=
+=
-÷÷ø
öççè
æ+
-÷÷ø
öççè
æ+
=
-÷÷ø
öççè
æ+
-÷÷ø
öççè
æ+
=
-
-
-
-
cc
c
c
c
c
coλπrr e
lpc 2 2
p
==
oc
cb
cp
b kj
nn
n )( p abee
e -====
Mie parameters
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Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Mie Scattering For Spherical Particles
For the atmosphere, background is air:
Computer Code 8.12.
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Rayleigh Approximation
For backscattering:
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Frequency Response
In Rayleigh region, absorption dominates over scattering
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Role of Loss Tangent
Loss tangent determines absorption, so it is important in Rayleigh region
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Backscattering by a Metal Sphere
Because backscattering efficiencyvaries as (r/λ)4, weather radar uses frequencies close to Χ=0.5 for the size distribution of rain, thereby having an efficiency close to 1, and avoiding the Mieresonance region.
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Metal sphere for radar calibration
Known backscattering coefficient is used in Radar Equation
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Scattering from Hydrometeors
Rayleigh Scattering Mie Scattering
l >> particle sizel comparable to particle size--when rain or ice crystals are present.
33GHz (9mm) 95GHz (3mm)
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
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Rayleigh scattering(λ >d)
Mie scattering(λ ~ d)
Rayleigh Approximation for ice crystals
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
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Sizes for cloud and rain drops
coλπrr e
lpc 2 2
p
==
Mie Parameter for size determines which Region
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Dielectric Properties ofHydrometeors
Ice is weak absorber at microwaves
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
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For Rayleigh approximation
l the cross sectional areas of a scatterer.
24
652
322
24
652
||D
)Im(D
||3
D 2
wbb
waa
wss
Kr
KrQ
KrQ
lppxs
lppx
lppx
==
-==
==
D=2r =diameter
~f 4The sunlit sky is blue because air scatters high-frequency light more than low-frequency, f4.
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
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Gas molecules = much smaller than visible l=> Rayleigh approx. is OK.
Red 700nm
Violet 400nm
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Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
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Mie Scattering
¨ Mie scatt. is almost independent of frequency¨ Cloud droplets ~20mm compare to 500nm¨ Microwaves have l~cm or mm (large) – Rayleigh for most atmospheric
constituents¨ Laser have l~nm - Mie
[l dependent] [almost l independent]
56
Observe scattering in Visible EM; forward scattering vs. backscattering
Mie scattering by dust particles and aerosols
Rayleigh scattering by water vapor molecules and gases.
57 58
Mie forward scattering nos impide ver bien a menos que haya alto contraste.
59Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Snowflakes
Real part
Imaginary part
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Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Size Distributions
for several cloud types.
Similar-form expressions apply to the absorption, extinction, and backscattering coefficients
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Cloud Models
Drop-Size Distribution
The coefficients and exponents are positive constants related to the type of cloud and its physical parameters:the water content and mode radius.
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Efficiency Plots vs. particle radius
3 GHz 30 GHz 300 GHz
Rayleigh applicable to all cloudsAnd rain
Rayleigh applicable to cloudsand low rainfall
Rayleigh applicable to Fair-Weather cloud only
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Cloud Attenuation Below 50 GHz
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Cloud Attenuation Above 50 GHz
Above 50 GHz, Mie expressions should beused for clouds because Rayleigh approximation is
no longer accurate sufficiently.
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Microwave attenuation vs Optical visibility
Mathematically, the visibility range Rv is defined as the range over which the total attenuation in the visible region ( λ = 0.4–0.7 μm) is approximately 18 dB, which corresponds to a transmission coefficient of 1%.
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Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Drop-Size Distribution for Rain
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Extinction by Rain
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Rain vs. Snow
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Rain Reflectivity
Volume backscattering coefficient:
l in cmZ=radar reflectivity
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
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Raindrops symmetry
Differential Reflectivity
Zdr
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
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Reflectivity Factor, Z
l Is defined as
so that
l and sometimes expressed in dBZ to cover a wider dynamic range of weather conditions.
l Z is also used for rain and ice measurements.
ò= dDDNZ )(D6 ZKwo
vc2
4
5
|| lps =
ZdBZ log10=
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Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
73
Reflectivity in other books
36
1-
24
512
/mmmin expressed is and cmin is where
|| 10
Z
ZKwo
h
lph -=
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
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Reflectivity & Reflectivity Factor
Refle
ctiv
ity, h
[cm
-1]
dBZ
for
1g/m
3
Reflectivity and reflectivity factor produced by 1g/m3 liquid water Divided into drops of same diameter. (from Lhermitte, 2002).
svZ (in dB)
ZKwo
vc2
4
5
|| lps =
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Downward Emission
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Homework ProblemsSend by email in PDF
For Next Thursday Apr6: Ch8. ¨ Prob.1, 2 (for 2 km), 3 (for 2km), 4(25km), ¨ 5(for 307 K, and 35 g/m3 of water vapor ), ¨ 6 (Use To=307K)For Next Tuesday (April 18): Ch8. ¨ Prob. 7 (use rho=5g/m3), ¨ 8(use standard Atmosphere with To=300K), ¨ 11(for sphere with permittivity of 45-j7),¨ 14(cloud at 13oC), 16, ¨ 17(rho= 35 g/m3)
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Projects:
¨ Daniel= Radiometer design & paper presentation¨ Carlos Wah- papers & Presentation on antenna design
for polarimetric radiometer¨ Abel- Papers & PPT on microwave radiometric
measurements of rainfall¨ Alvin -¨ Andres-¨ Jhon-1. Send proposed papers by this Thursday.2. Draft essay and PPT by Tuesday after Holi week.
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Codes
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Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Error Sources and EstimationStatistics
g=geophysical parameter
ga = the actual (true) value of g.
x = the in-situ measured value of g.
Ns=Number of spatial samplesy = the sensor-estimated value of g.
(using inversion algorithm)
The in-situ errorIn-situ variance
The algorithm error
Algorithm variance
Total variance
Microwave Radar and Radiometric Remote Sensing, by Ulaby and Long
Model Validation