lidar r s p c cu-b lecture 16. temperature lidar (5...
TRANSCRIPT
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
Lecture 16. Temperature Lidar (5) Resonance Doppler Techniques
q Resonance Fluorescence Na Doppler LidarØ Na Structure and Spectroscopy Ø Scanning Technique versus Ratio Techniqueq Principles of Doppler ratio techniquesØ Two-frequency ratio technique Ø Three-frequency ratio techniqueØ Comparison of calibration curvesq Na Doppler Lidar InstrumentationØ Summary
1
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
Recall “Various Physical Interactions and Techniques are Applied to Doppler Tech”
q When resonance absorption and fluorescence is available (not quenched), the resonance Doppler lidar can be employed to probe Doppler broadening and Doppler shift. It can be atomic resonance fluorescence or molecular resonance fluorescence in the upper atmosphere.q If molecular absorption is available, then DIAL lidar can be employed to infer the Doppler broadening in molecular absorption for temperature. This is doable in the lower atmosphere.q Rayleigh scattering experiences Doppler broadening, so it can be measured using various techniques (e.g., edge filter, interferometers, etc.) to infer the temperature.q High-spectral-resolution lidar (HSRL) can help remove aerosol contamination to reveal Doppler broadening for temperature.q Vibrational-rotational Raman scattering should experience similar Doppler broadening as Rayleigh scattering, but it has shifted frequencies of return signals, which may help avoid the contamination of aerosol scattering to Rayleigh scattering. 2
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
Recall “Doppler Effects in Fe Boltzmann Lidar”
3
NNorm(λ372, z) =NFe(λ372, z)
NR (λ372, zR )Tc2(λ372, z)
=σ eff (λ372,T,σ L )RBλ372nFe(λ372, z)
4πσ R (λ372, )nR (zR )
q For two channels of Fe Boltzmann lidar,
q Take the Boltzmann temperature ratio as
€
RT (z) =Nnorm (λ374,z)Nnorm (λ372,z)
=g2g1
RB374RB372
λ374λ372
#
$ %
&
' (
4.0117 σeff (λ374,T,σL374 )σeff (λ372,T,σL372)
exp −ΔE /kBT( )
NNorm(λ374, z) =NFe(λ374, z)
NR (λ374, zR )Tc2(λ374, z)
=σ eff (λ374,T,σ L )RBλ374nFe(λ374, z)
4πσ R (λ374, )nR (zR )
=NFe(λ374, z)
NR (λ374, zR )Tc2(λ374, z)
=σ eff (λ374,T,σ L )RBλ374nFe(λ372, z)
4πσ R (λ374, )nR (zR )g2g1exp(−ΔE / kBT )
Using the Fe atoms in the MLT as an “Fe vapor cell”, if we scan the laser frequency of a single channel of Fe Boltzmann lidar, we will see a convoluted Doppler broadening of the return Fe signals. This wavelength scan can be used to infer temperature if the laser lineshape is well known, or can be used to infer the laser lineshape if the temperature is known.
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
Doppler Effect in Na D2 Line Resonance Fluorescence
Na D2 absorption linewidth is temperature dependent
(thermal motions of atom assembly)
Na D2 absorption peak frequency is wind dependent
(bulk motions of atom assembly)4
Abs
orpt
ion
Coe
ffici
ent
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
Na Atomic Energy Levels
5 Textbook Chapter 5 by Chu and Papen
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
Na Atomic Parameters
6 Textbook Chapter 5 by Chu and Papen
An
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
Doppler-Limited Na Spectroscopy
€
σeff (ν) =12πσe
e2 f4ε0mec
An exp −[νn − ν(1−VR /c)]
2
2σe2
'
( )
*
+ ,
n=1
6∑
€
σabs(ν) =12πσD
e2 f4ε0mec
An exp −[νn − ν(1−VR /c)]
2
2σD2
'
( )
*
+ ,
n=1
6∑
q Doppler-broadened Na absorption cross-section is approximated as a Gaussian with rms width σD
q Assume the laser lineshape is a Gaussian with rms width σL q The effective cross-section is the convolution of the atomic absorption cross-section and the laser lineshape
€
σe = σD2 + σL
2
€
σD =kBTMλ0
2where and
The frequency discriminator/analyzer is in the atmosphere! -- A huge Na vapor cell – the Na absorption lines as a frequency discriminator. 7
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
Doppler Scanning Technique
€
NNa(λ,z) =PL (λ)Δthc λ
$
% &
'
( ) σeff (λ)nNa(z)Δz( ) A
4πz2$
% &
'
( ) η(λ)Ta
2(λ)Tc2(λ,z)G(z)( )
€
NR (λ,zR ) =PL (λ)Δthc λ
$
% &
'
( ) σR (π ,λ)nR (zR )Δz( ) A
zR2
$
% &
'
( ) η(λ)Ta
2(λ,zR )G(zR )( )
€
σeff (λ,z) =C(z)
Tc2(λ,z)
NNa(λ,z)NR (λ,zR )
€
C(z ) =σR(π ,λ)nR(zR )
nNa(z )4πz 2
zR2where
8
Least-square fitting gives temp[Fricke and von Zahn, JATP, 1985]
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
Scanning Na Lidar Results
9 [Fricke and von Zahn, JATP, 1985]
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
Doppler Ratio Technique
10 −2.5 −2 −1.5 −1 −0.5 0 0.5 1 1.5 2 2.5x 109
0
0.2
0.4
0.6
0.8
1
1.2 x 10−15
Frequency Offset (Hz)
Effe
ctiv
e C
ross
Sec
tion
(m2 )
−50 m/s0 m/s+50 m/s
−2.5 −2 −1.5 −1 −0.5 0 0.5 1 1.5 2 2.5x 109
0
0.2
0.4
0.6
0.8
1
1.2 x 10−15
Frequency Offset (Hz)
Effe
ctiv
e C
ross
Sec
tion
(m2 )
150 K200 K250 K
fa fc
fa f+f-
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
2-Frequency Doppler Ratio Technique
€
RT (z) =Nnorm ( fc,z,t1)Nnorm ( fa,z,t2)
=σeff ( fc,z)nNa(z,t1)σeff ( fa,z)nNa(z,t2)
≈σeff ( fc,z)σeff ( fa,z)
€
Nnorm ( f ,z,t) ≡NNa( f ,z,t)
NR ( f ,z,t)Tc2( f ,z)
z2
zR2
€
Nnorm ( f ,z,t) =σeff ( f )nNa(z)σR (π , f )nR (zR )
14π
11
Two frequencies fa and fc are insensitive to radial wind.
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
3-Frequency Doppler Ratio Technique
€
RT (z) =Nnorm ( f+,z,t1) + Nnorm ( f−,z,t2)
Nnorm ( fa,z,t3)
≈σeff ( f+,z) + σeff ( f−,z)
σeff ( fa,z)
€
RW (z) =Nnorm ( f−,z,t2)Nnorm ( f+,z,t1)
≈σeff ( f−,z)σeff ( f+,z)
12 0
200
400
600
800
1000
1200
1400
1600
0 1000 2000 3000 4000 5000 6000
fa Channelf+ Channelf- Channel
Phot
on C
ount
s
Bin Number
Raw Data Profiles for 3-Frequency Na Doppler Lidar
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
Calibration Curves for 3-Freq Tech
13
Isoline / Isogram
180 K
-40 m/s
q For given temperatures and winds, we can compute the Doppler lidar calibration curves from atomic physics and lidar physics.
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
Main Ideas Behind Ratio Technique q Three unknown parameters (temperature, radial wind, and Na number density) require 3 lidar equations at 3 frequencies as the minimum ð the highest resolution.q In the ratio technique, Na number density is cancelled out. So we have two ratios RT and RW that are independent of Na density but both dependent on T and W. q The idea is to derive temperature and radial wind from these two ratios first, and then derive Na number density using derived temperature and wind at each altitude bin.q However, because the Na extinction coefficient is involved, the upper bins are related to lower bins, and extinction coefficient is related to Na density and effective cross-section. The solution is to start from the bottom of the Na layer and then work bin by bin to the layer top.
14
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
Principle of Doppler Ratio Technique q Lidar equation for resonance fluorescence (Na, K, or Fe)
€
NS (λ ,z) =PL (λ)Δthc λ
$
% &
'
( ) σ eff (λ ,z)nc(z)RB (λ) +σR (π ,λ)nR (z)[ ]Δz A
4πz2$
% &
'
( )
× Ta2(λ)Tc
2(λ ,z)( ) η(λ)G(z)( )+NB
RB = 1 for current Na Doppler lidar since return photons at all wavelengths are received by the broadband receiver, so no fluorescence is filtered off.
€
NNa(λ ,z) =PL (λ)Δthc λ
$
% &
'
( ) σ eff (λ ,z)nc(z)[ ]Δz A
4πz2$
% &
'
( ) Ta
2(λ)Tc2(λ ,z)( ) η(λ)G(z)( )
€
NR (λ ,z) =PL (λ)Δthc λ
$
% &
'
( ) σR (π ,λ)nR (z)[ ]Δz A
z2$
% &
'
( ) Ta
2(λ)Tc2(λ ,z)( ) η(λ)G(z)( )
q Pure Na signal and pure Rayleigh signal in Na region are
q So we have
€
NS (λ,z) = NNa (λ,z) + NR (λ,z) + NB 15
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
Principle of Doppler Ratio Technique q Lidar equation at pure molecular scattering region (35-55km)
€
NS (λ ,zR ) =PL (λ)Δthc λ
$
% &
'
( ) σR (π ,λ)nR (zR )[ ]Δz A
zR2
$
% & &
'
( ) ) Ta
2(λ ,zR ) η(λ)G(zR )( )+NB
q Pure Rayleigh signal in molecular scattering region is
q So we have
€
NS (λ,zR ) = NR (λ,zR ) + NB
€
NR (λ,zR ) =PL (λ)Δthc λ
$
% &
'
( ) σR (π ,λ)nR (zR )[ ]Δz A
zR2
$
% &
'
( ) Ta
2(λ,zR ) η(λ)G(zR )( )
€
NR (λ ,z)NR (λ ,zR )
=σR (π ,λ)nR (z)[ ]Ta2(λ ,z)Tc2(λ ,z)G(z)σR (π ,λ)nR (zR )[ ]Ta2(λ ,zR )G(zR )
zR2
z2=nR (z)nR (zR )
zR2
z2Tc2(λ ,z)
q The ratio between Rayleigh signals at z and zR is given by
Where nR is the (total) atmospheric number density, usually obtained from atmospheric models like MSIS00. 16
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
Principle of Doppler Ratio Technique q From above equations, the pure Na and Rayleigh signals are
€
NNa (λ,z) = NS (λ,z) − NB − NR (λ,z)
€
NR (λ,zR ) = NS (λ,zR ) − NB
q Normalized Na photon count is defined as
€
NNorm (λ ,z) =NNa(λ ,z)
NR (λ ,zR )Tc2(λ ,z)
z2
zR2
€
NNorm (λ ,z) =NNa(λ ,z)
NR (λ ,zR )Tc2(λ ,z)
=σ eff (λ ,z)nc(z)σR (π ,λ)nR (zR )
14π
q From physics point of view, the normalized Na count is
q From actual photon counts, the normalized Na count is
€
NNorm (λ ,z) =NNa(λ ,z)
NR (λ ,zR )Tc2(λ ,z)
z2
zR2 =
NS (λ ,z) −NB −NR (λ ,z)NR (λ ,zR )Tc
2(λ ,z)z2
zR2
=NS (λ ,z) −NBNS (λ ,zR ) −NB
z2
zR2
1Tc2(λ ,z)
−nR (z)nR (zR ) 17
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
Principle of Doppler Ratio Technique q From physics, the ratios of RT and RW are then given by
Here, Rayleigh backscatter cross-section is regarded as the same for three frequencies, since the frequency difference is so small. Na number density is also the same for three frequency channels, and so is the atmosphere number density at Rayleigh normalization altitude.
€
RT =NNorm ( f+ ,z) +NNorm ( f− ,z)
NNorm ( fa ,z)=
σ eff ( f+ ,z)nc(z)σR (π , f+)nR (zR )
+σ eff ( f− ,z)nc(z)σR (π , f−)nR (zR )
σ eff ( fa ,z)nc(z)σR (π , fa)nR (zR )
=σ eff ( f+ ,z) +σeff ( f− ,z)
σ eff ( fa ,z)
€
RW =NNorm ( f+ ,z) −NNorm ( f− ,z)
NNorm ( fa ,z)=
σ eff ( f+ ,z)nc(z)σR (π , f+)nR (zR )
−σ eff ( f− ,z)nc(z)σR (π , f−)nR (zR )
σ eff ( fa ,z)nc(z)σR (π , fa)nR (zR )
=σ eff ( f+ ,z) −σeff ( f− ,z)
σ eff ( fa ,z)
18
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
Principle of Doppler Ratio Technique q From actual photon counts, the ratios RT and RW are
€
RT =NNorm ( f+ ,z) +NNorm ( f− ,z)
NNorm ( fa ,z)
=
NS ( f+ ,z) −NBNS ( f+ ,zR ) −NB
z2
zR2
1Tc2( f+ ,z)
−nR (z)nR (zR )
#
$ % %
&
' ( ( +
NS ( f− ,z) −NBNS ( f− ,zR ) −NB
z2
zR2
1Tc2( f− ,z)
−nR (z)nR (zR )
#
$ % %
&
' ( (
NS ( fa ,z) −NBNS ( fa ,zR ) −NB
z2
zR2
1Tc2( fa ,z)
−nR (z)nR (zR )
€
RW =NNorm ( f+ ,z) −NNorm ( f− ,z)
NNorm ( fa ,z)
=
NS ( f+ ,z) −NBNS ( f+ ,zR ) −NB
z2
zR2
1Tc2( f+ ,z)
−nR (z)nR (zR )
#
$ % %
&
' ( ( −
NS ( f− ,z) −NBNS ( f− ,zR ) −NB
z2
zR2
1Tc2( f− ,z)
−nR (z)nR (zR )
#
$ % %
&
' ( (
NS ( fa ,z) −NBNS ( fa ,zR ) −NB
z2
zR2
1Tc2( fa ,z)
−nR (z)nR (zR )
19
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
How Does Ratio Technique Work? q From physics, we calculate the ratios of RT and RW as
€
RT =σeff ( f+ ,z) +σ eff ( f− ,z)
σ eff ( fa ,z)
€
RW =σeff ( f+ ,z) −σ eff ( f− ,z)
σ eff ( fa ,z)
q From actual photon counts, we calculate the ratios as
€
RT =NNorm ( f+ ,z) +NNorm ( f− ,z)
NNorm ( fa ,z)
=
NS ( f+ ,z) −NBNS ( f+ ,zR ) −NB
z2
zR2
1Tc2( f+ ,z)
−nR (z)nR (zR )
#
$ % %
&
' ( ( +
NS ( f− ,z) −NBNS ( f− ,zR ) −NB
z2
zR2
1Tc2( f− ,z)
−nR (z)nR (zR )
#
$ % %
&
' ( (
NS ( fa ,z) −NBNS ( fa ,zR ) −NB
z2
zR2
1Tc2( fa ,z)
−nR (z)nR (zR )
€
RW =NNorm ( f+ ,z) −NNorm ( f− ,z)
NNorm ( fa ,z)
=
NS ( f+ ,z) −NBNS ( f+ ,zR ) −NB
z2
zR2
1Tc2( f+ ,z)
−nR (z)nR (zR )
#
$ % %
&
' ( ( −
NS ( f− ,z) −NBNS ( f− ,zR ) −NB
z2
zR2
1Tc2( f− ,z)
−nR (z)nR (zR )
#
$ % %
&
' ( (
NS ( fa ,z) −NBNS ( fa ,zR ) −NB
z2
zR2
1Tc2( fa ,z)
−nR (z)nR (zR ) 20
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
How Does Ratio Technique Work?
21
Isoline / Isogram
180 K
-40 m/s
q Compute Doppler calibration curves from physicsq Look up these two ratios on the calibration curves to infer the corresponding Temperature and Wind from isoline/isogram.
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
Na Doppler Lidar Data @ SOR
22 0 2 4 6 8 10 12 1475
80
85
90
95
100
105
110
UT Time
Altitu
de (k
m)
SOR 02−18−1999
170
170
170
190
190
190
210
210
210
210
210
230
230
230170
180
190
200
210
220
230
240
160 170 180 190 200 210 220 23075
80
85
90
95
100
105
110
Temperature (K)
Altitu
de (k
m)
SOR 02−18−1999 Night−Mean
75
80
85
90
95
100
105
110
160 180 200 220 240
FB1899.001.TWD @ 2.82 UT
Altit
ude
(km
)
Temperature (K)
75
80
85
90
95
100
105
110
160 180 200 220 240
FB1899.070.TWD @ 5.32 UT
Alti
tude
(km
)
Temperature (K)
75
80
85
90
95
100
105
110
160 180 200 220 240
FB1899.229.TWD @ 10.56 UT
Alti
tude
(km
)
Temperature (K)
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
Comparison of Calibration Curves q Different metrics of RW result in different wind sensitivitiesq The ratio RW= N+/N- has inhomogeneous sensitivity
23
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
Comparison of Calibration Curves q The ratio RW= (N+ - N-)/Na has much better uniformity than the simplest ratio
24
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
Comparison of Calibration Curves q The ratio RW= ln(N- /N+)/ln(N-×N+/Na
2) has good uniformity
25
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
Na Doppler Lidar Instrumentation
q Resonance Doppler lidar has the frequency discriminator in atmosphere - atomic absorption lines! ð Narrowband transmitter, broadband receiver. ð High signal levels and accurate knowledge on the frequency discriminator!
Transmitter (Radiation Source)
Interaction between radiation and objects
Radiation Propagation Through Medium
Signal Propagation Through Medium
Receiver (Light Collection &
Detection)
Data Acquisition & Control System
Data Processing, Analysis & Interpretation
26
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
Na Doppler Wind and Temperature Lidar q Na Doppler lidar is one of the most successful lidars.
27 Textbook Chapter 5 by Chu and Papen
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
STAR Na LIDAR Modernized DAQ, System Control and Receiver
28
BNC
Oscilloscope
Acousto-Optic Modulation
Master Oscillatorλ/2
λ/2
λ/4
CW532nmPumpLaser
10cm AOMAOM20cm 20cmShutter IrisCollimator
Periscope
Opticalisolator
Frequency-DoubledNd:YAGPulsed,Q-SwitchedLaser
Single-ModeRingDyeLaser
PulsedDyeAmplifier
Photodiode
Doppler Free SpectroscopyHotNaVaporCell
Wave-meterSMFiber
NDFilter
ToSky
AOMDriver
RingDyeLaserControlBox
ActuatedSteeringMirror
>LockingFeedback>
ShutterDriver
CMOS
532 nm1064 nm
<CameraControl(USB)>
Receiver Data Acquisition & Control
SHG
Transmitter
TTL
PC
PMT
Newtonian
<MirrorControl(RS-485)>
DiscriminatedPMTSignal
>Q-SwitchTrigger>Analog/Digital/CounterChannel Connections
[Smith et al., ILRC, 2012]
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
Na Lidar Transmitter
Ring DyeLaser
VerdiLaser
Wavemeter
AOM
Na VaporCell
29
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
Na Doppler Lidar Receiver
30
CU-Boulder STAR Na Doppler LidarPrimary Focus Telescope
Fiber Coupling
Multimode Optical Fiber
Chopper
Receiver Chain
PMT
Prime-focus telescope’s
primary mirror ê
MM fiber
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
STAR Na Doppler Lidar DAQ
31
Multimode Optical Fiber
Chopper
Receiver Chain
PMT
Shots/Freq
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
STAR Na Doppler LIDAR Transmitter
32
BNC
Oscilloscope
Acousto-Optic Modulation
Master Oscillatorλ/2
λ/2
λ/4
CW532nmPumpLaser
10cm AOMAOM20cm 20cmShutter IrisCollimator
Periscope
Opticalisolator
Frequency-DoubledNd:YAGPulsed,Q-SwitchedLaser
Single-ModeRingDyeLaser
PulsedDyeAmplifier
Photodiode
Doppler Free SpectroscopyHotNaVaporCell
Wave-meterSMFiber
NDFilter
ToSky
AOMDriver
RingDyeLaserControlBox
ActuatedSteeringMirror
>LockingFeedback>
ShutterDriver
CMOS
532 nm1064 nm
<CameraControl(USB)>
Receiver Data Acquisition & Control
SHG
Transmitter
TTL
PC
PMT
Newtonian
<MirrorControl(RS-485)>
DiscriminatedPMTSignal
>Q-SwitchTrigger>Analog/Digital/CounterChannel Connections
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
Master Oscillator and Freq Locking with Doppler-Free Spectroscopy
33 [Smith et al., OE, 2009]
See detailed explanations on Na Doppler-free saturation-fluorescence spectroscopy in
Textbook Chapter 5.2.2.3.2
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
Doppler-Free Na Spectroscopy
νa νb νc
νc =(νa+νb)/2
See detailed explanation on Na Doppler-free saturation-fluorescence spectroscopy in Textbook Chapter 5.2.2.3.2
34
fa f+f-
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
Summary (1) q Resonance fluorescence Doppler lidars apply Doppler technique to infer temperature and wind from the Doppler-broadened and Doppler-shifted atomic absorption spectroscopy. The Doppler-limited atomic absorption spectroscopy is inferred from the returned fluorescence intensity ratios at different frequencies. q Both scanning and ratio techniques can work for the Doppler lidar. With scanning technique, the laser will be operated at many different frequencies, and then a least-square fit derives the width of the atomic absorption line, thus deriving the temperature. Its advantage is to provide more than 3 frequency information, so providing checks on more system parameters. But it requires longer integration time.q Doppler ratio technique takes advantage of the high temporal resolution feature by limiting the lidar detection to 3 preset frequencies (usually one peak and two wing frequencies) for 3 unknown parameters (T, W, and density).q By taking the ratios among signals at these three frequencies, RT and RW are sensitive functions of temperature and radial wind, respectively.
35
LIDAR REMOTE SENSING PROF. XINZHAO CHU CU-BOULDER, SPRING 2016
Summary (2) q We compute the ratios RT and RW from atomic physics first to form the lidar calibration curves, and then look up the two ratios calculated from actual photon counts on the calibration curves to infer the corresponding temperature T and radial wind W.q Different metrics exhibit different inhomogeneity, resulting in different crosstalk between T and W errors.
q There are several different atomic species (Na, K, Fe, Ca, Ca+, etc.) originating from meteor ablation in the mesosphere and lower thermosphere (MLT) region. They all have the potentials to be tracers for resonance fluorescence Doppler lidars to measure the temperature and wind in the MLT region.q Na and K Doppler lidars are currently near mature status and making great contributions to MLT science.q Fe Doppler lidar has very high future potential due to the high Fe abundance, advanced alexandrite laser technology, Doppler-free Fe spectroscopy, and bias-free measurements, etc.
36