Validation and Calibration of ADM-Aeolus using Doppler lidars · LOGO Validation and Calibration of...
Transcript of Validation and Calibration of ADM-Aeolus using Doppler lidars · LOGO Validation and Calibration of...
LOGO
Validation and Calibration of ADM-Aeolus using Doppler lidars
Songhua Wu, Bingyi Liu, Jintao Liu, Xiaoquan Song, Guaoyao Dai, Zhaixiao
Chun, Changzhong Feng, Quanfeng Zhuang, Hongwei Zhang
ESA ADM-Aeolus Science & Cal/Val workshop Feb 10-14, 2015, Frascati, Italy
Ocean Remote Sensing Institute (ORSI),
Ocean University of China (OUC), Qingdao,
Outline
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1. Overview of ORSI’s lidar activities
Motivation & Applications
2. Available instruments for CAL/VAL
Ground based direct detect & coherent Doppler
wind lidar, HSRL, Raman depolarization lidar
3. Field experiments related to ADM-Aeolus Cal/Val
Lidar campaigns in Qingdao, Beijing, East China
Sea, Tibetan Plateau, etc.
Aeolus Science & Cal/Val WS, Frascati
Ocean Remote Sensing Institute, ORSI
Satellite Remote Sensing
• SST, SSW, 3Sea Wave, Current, Ocean Color, Oil Spill, etc.
Lidar and Ocean Optics
• Wind, Temperature, Cloud, Aerosol, Ocean Optics, etc.
Marine Geographical Information System
• Satellite Remote sensing, Virtual Reality of Oceanography, etc.
ORSI 23 Faculties, ~100 Master & Ph.D students
Qingdao
Beijing
Shanghai
Lidar 7 Faculties, ~20 Master & Ph.D students
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Lidar research at ORSI
• Direct-detection Doppler lidar / High
spectral resolution lidar
wind, temperature and aerosol in boundary
layer and troposphere
• Coherent Doppler lidar
wind in boundary layer
• Raman lidar and Polarization lidar
water vapor, cirrus and aerosol
• Ocean Lidars
ocean optics, chlorophyll and oil leakage
• Lidar technology
Laser seed injection and frequency
stabilization, spectrometer, retrieval
algorithm, digital signal processer, etc.
Initial motivation
SST & SSW
Aeolus Science & Cal/Val WS, Frascati 4
Recent atmospheric lidar campaigns
2005~2006:radiosonde validation
2006 International Sailing Games:wind
profiler
2007 International Sailing Games:wind
profiler, buoys
2007 Ground anemometer validation
campaign
2008 Olympics: operational sea surface
wind monitoring
2008 Spacecraft landing area:wind profile
monitoring
2009 Storm observation:lidar, radars
2010 WMO radiosonde validation campaign
at Yangjiang
2010 Sea surface wind observations for Asia
Game
2011-2012 CMA Lidar and radiosonde
campaign in Beijing
2013 Atmospheric lidar observation in Indian
Ocean
2013-2017 CMA the 3rd Tibetan Plateau
atmosphere scientific campaign 5 Aeolus Science & Cal/Val WS, Frascati
Direct Detect Doppler Wind Lidar / HSRL
• Atomic absorption using iodine vapor
• Fabry-Perot interferometer
• Fezeau interferomter
Atomic filter
Fabry-Perot etalon Fezeau interferometer
ALADIN & A2D Courtesy of O. Reitebuch
Atmospheric Molecules
Aerosol particles
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BS
M
NPBS
IF
L1
L2
PMT2
Photodiode
Frequency Locking Module
10X Beam
Expander
Reference
Channel
Elevation-
over-Azimuth
Scanner
BS: Beamsplitter
M: Mirror L: Lens
IF: Interference Filter
NPBS: Non-Polarizing BS
PMT: Photomultiplier
M M
Fiber
Iodine Filter
Schmidt-
Cassegrain
Telescope
Photodiode
Iodine Filter
Transmitting Subsystem
Receiving Subsystem
PMT1
Measurement
Channel
Nd:YAG Pulsed Laser
(Injection Seeded)
BS
Frequency Discirminating Module
2
2( , ) [ ( ) ( ) ( ) ( )] ( )M M a a m m
AN r v k r T v r T v r T r
r
2
2( , ) [ ( ) ( )] ( )R R a m
AN r v k r r r T r
r
Mw
R
NR
N
( ) ( )
( )
w w oF
w o
R v R vR
R v
F
LOS
dRS
dV F
LOS
RV
S
Principle of wind measurements
Measured signal:
Aeolus Science & Cal/Val WS, Frascati
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-4 -2 0 2 40
0.3
0.5
0.7
1
Relative Frequency(GHz)
Tra
nsm
itta
nce
碘分子透过率曲线A(T=0.3)B(T=0.3)
C(T=0.7)
A
B
C
Wind measurement sensitivity calibration
1. Tune the frequency of transmitting laser to 3 points along one slope of iodine line
2. Fit received signal of 3 frequency to obtain wind sensitivity
-3 -2 -1 0 1 2 3
x 108
0
0.2
0.4
0.6
0.8
1
Relative Frequency(Hz)
Tra
nsm
itta
nce
Real Rb=0Measure Rb=0
Real Rb=0.3
Measure Rb=0.3
Real Rb=0.7Measure Rb=0.7
Real Rb=1
Measure Rb=1
Real Rb=8Measure Rb=8
Real Rb=15
Measure Rb=15
Real Rb=∞Measure Rb=∞
Response curve with various Rb
-40 -20 0 20 40-10
-5
0
5
10
-40 -20 0 20 40-10
-5
0
5
10
真实风速(m/s)
误差
(测量
-真实
)(m
/s)
Rb = 0
Rb = ∞Rb = ∞
Rb = 0
Real speed (m/s)
Win
d e
rro
r (m
/s)
Wind error due to non-linear sensitivity
Aeolus Science & Cal/Val WS, Frascati
Data product: Wind Profile
Wind Profile comparison results between Wind Lidar (8:45) and Radiosonde (8:00) on May 7, 2006
Wind Profile comparison results between Wind Lidar (20:20) and Radiosonde (20:00) on October 19, 2007
9 Aeolus Science & Cal/Val WS, Frascati
Rain
Rain
Sea Surface Wind in Olympic Sailing Event
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Data Product: SSW & 4-D VAR
HRSL method for Aerosol
1 1 2 0( ) ( )( ( ) ( ))exp 2 [ ( ') ( ')]
z
a R a R
zN z k z z z z dz
z
2 2 2 0( ) ( ) ( )exp 2 [ ( ') ( ')]
z
R R a R
zN z k f z z z dz
z
Constant Molecule Backscatter
Aerosol Backscatter
Molecule Extinction
Aerosol Extinction
Recevier transmittance
0 5 10 1510
1
102
103
104
105
106
107
108
Height (km)
Photo
n C
ounts
PMT1
PMT2
0 5 10 1510
1
102
103
104
105
106
107
108
Height (km)
Photo
n C
ounts
PMT1
PMT2
aerosol & molecular
molecular 11 Aeolus Science & Cal/Val WS, Frascati
Data Product: Aerosol Extinction Profile
Fine
2005-10-21
Cirrus
2005-10-22
floating dust
2005-11-07
12 Aeolus Science & Cal/Val WS, Frascati
0
1
2
3
4
5
6
7
160 180 200 220 240 260 280 300
Lidar Balloon
Wind direction (degree)
Alt
itu
de (
km
)
0
1
2
3
4
5
6
7
0 5 10 15 20 25 30
Lidar Balloon
Wind speed (m/s)
Alt
itu
de (
km
)
Wind profile
Ground-based incoherent Doppler wind lidar using iodine absorption lines
First Doppler lidar in China, 1998-2000
Z. Liu, et.al. 1997, 2002,2003
13 Aeolus Science & Cal/Val WS, Frascati
• Development started in 2005. • Accomplished in 2007. • 2008 Olympics wind observations
Wind profile and 3D wind field with resolution of 100m; update rate at 10 minutes
Troposphere wind profiles & 3D wind field Doppler Lidar measuring sea surface wind
Z. Liu, S. Wu, B. Liu, Z. Li, et.al. 2003,2006,2007,2008
BS
M
M
BS
IF L1L2
Photon
Counting PMT
Photodiode
Frequency Locking
10X Beam Expander
Reference
Channel
Elevation-over-
Azimuth Scanner
L: Lens
M: Mirror
BS: Beamsplitter
IF: Interference Filter
M M
Fiber
Iodine Filter
Schmidt-
Cassegrain
Telescope
Photodiode
Iodine Filter
Transmitting Subsystem
Receiving Subsystem
Photon
Counting PMT
Measurement
Channel
Nd:YAG
Seed Laser
Nd:YAG Pulsed Laser
Seed Injection
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Shipborne Doppler wind lidar
• New transceiver telescope is designed for long term alignment stability.
• The 10 times higher peak power DPSS laser to get better SNR for wind measurement in the troposphere.
• Very compact Doppler frequency discriminator and frequency stabilizer and are developed to fit in a 4U 19“ cabinet rack.
• New scanner is designed for precise beam pointing and direction compensation due to the ship rolling.
atmosphere
AO
AI
I/O
scanner
Transceiver
telescope
Ship Lidar
①Telescope and scanner system
② Seed injected system
③ Locking system
④ Optical frequency discrimination system
⑤ Transceiver optical path
Tip: ② and ③ comprising transmitter system
Photon counter
①
②
③
④
⑤
PC
LabVIEW
PID locking
feedback
monitor
To seeder
DAQ card
PIN
PIN
Iodine box
Pulsed
laserseeder
TMP PZT
From DAQ
card
PMT
PMTIF
chopper
LC
LV
LV
LV
LV
LV
λ/4λ/2
M
BE
Conical lenses
fiber
fiber
fiber
fiber fiber
Acquisition card
LC:Plano concave lenses
LV:Plano convex lenses
BS:BeamSplitter
IF:Interference Filter
BE:Beam Expander
M:Mirror
PBS:Polarization BeamSplitter
PMT:Photomultiplier
PIN:Photodiode
λ/4:quanter wave plate
λ/2:Half wave plate
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Parameter Ground-based Mobile Shipborne
Detect altitude 1~10 km 0.2~10 km 0.2-15 km
Vertical resolution 100 m (PBL)
500m (Troposhpere) 100 m (PBL)
500m (Troposhpere) 50 m (PBL)
100m (Troposhpere)
LOS Accuracy 1 m/s (PBL)
2m/s (Troposhpere) 1 m/s (PBL)
2m/s (Troposhpere) 1 m/s (PBL)
2m/s (Troposhpere)
PRF 10 Hz 500Hz 100 Hz
Averaging time 30 mins (Profile) 15 mins (Profile) 10 mins (Profile)
Wavelength 532 nm 532 nm 532 nm
Pulse energy 100mJ 10 mJ 120 mJ
Doppler wind lidar / HSRL performances
Available sources for ADM/Aeolus Cal/Val 16
Coherent Doppler Lidar for direct detect DWL Cal/Val
Balanced
Detector A\D
ISO
Seed laser Fiber
ISO&Filter
Pre-amplifier
ISO&Filter
Fiber
Power amplifier
1550nm 10μJ 100μJ
Splitter
Splitter
AOM
Optical switch
Signal processing
Wedge
Telescope
2 / D LOSf V
if
i Df f
i Df f
i Df f
FFT
AerosolPaticles
LOSV
V
if
S. Wu, et. al. 2012 17
Backscatter
Vertical Wind speed
Wind Profiles
• Boundary layer wind profile measurement with high accuracy of 0.3 m/s.
• Better understanding of the vertical wind under and within clouds.
• Easy to transport for remote area campaign • Deployed in the Tibetan Plateau campaign.
Aeolus Science & Cal/Val WS, Frascati
Coherent Doppler lidar/CDL for Sea Surface Wind
2013 Cruise April 27th to May 21th
Dongfanghong II Research vessel
CDL
Turbulent wake of the research vessel
Wind direction change can be seen.
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PPI scanning mode of LOS velocity of sea surface wind on May 7th, 2014.
HSRL
Tibetan Plateau lidar campaign 2013-2017 The Tibetan Plateau lies at a critical
and sensitive junction of four climatic systems: the Westerlies, the East Asian Monsoon, the Siberian cold polar airflow, and the Indian monsoon.
The 1st Tibetan Plateau atmospheric science campaign in 1979.
The 2st Tibetan Plateau atmospheric science campaign in 1998.
The 3rd Tibetan Plateau Atmospheric Science Experiment is proposed by China Meteorological Administration CMA that is formally to start in 2014. The experiment will carry on for at least 3 years.
The 2013 lidar campaign is a joint preface experiment organized by OUC/ORSI and CAMS/LAWS ( Chinese Academy of Meteorological Sciences/ Laboratory of Severe Weather.
CMA
Siberian cold
polar airflow
Westerlies
East Asian
monsoon Indian
monsoon
OUC CAMS LaSW
19 Aeolus Science & Cal/Val WS, Frascati
• Transmitter wavelength: 355nm, 532nm and 1064nm • Receiver channels: 355/374nm, 387nm, 407nm, 532nm ||, 532nm/⊥, 1064nm • Water vapor, Cloud, Aerosol, PBL wind observations in the Tibetan Plateau since 2013. • Locations: Litang (3950 m altitude), Nagqu (4560 m altitude), …
Raman lidar and Polarization lidar water vapor, cloud and aerosol
20 Aeolus Science & Cal/Val WS, Frascati
Multi-wavelength Raman-polarization lidar
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
5.5
6
0 2 4 6 8
Heig
ht
AG
L (
km
)
Water vapor mixing ratio (g/kg)
20140527n-Water Vapor Mixing Ratio
Water vapor lidar data
Radiosonde data
Error bar
21
α
σ
ΔH2O
Vertical
Velocity ΔFlux
Summary of Cal/Val opportunities
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A: Direct-detect technique but with the different laser wavelength and Doppler
frequency discriminator which makes validation effective on the independent
technological background. The validation lidars cover most of the data products of
ADM-Aeolus such as LOS wind speed, aerosol extinction coefficient and
backscattering. Moreover, aerosol backscattering ratio and lidar ratio can be
provided which is essential to calibrate the atmospheric parameter used for aerosol
extinction coefficient and wind velocity retrieval in the ADM-Aeolus algorithm.
B: Combined LOS wind velocity, wind profile and 3D wind vectors are the useful
tools to validate the ADM-Aeolus measurements.
C:The mobile Doppler lidar is a quasi-operational system qualified by the China
Meteorological Administration. The quality controland quantity could be credible.
D:The Coherent Doppler lidar can validate the direct detect Doppler lidar in
PBL. It is practical and efficient to characterize and monitor sea surface wind
vectors.
E: Multi-wavelength Raman-polarization lidar is located at the Qingdao/Tibetan
Plateau to study typical marine / continental aerosol and cloud.
F:OUC/ORSI is developing a compact coherent Doppler lidar on UAV which
could be a good option for calibration and validation if sources are available.
Instruments & Data products
Aeolus Science & Cal/Val WS, Frascati
Summary of Cal/Val opportunities Field experiments could be synchronously carried out using ground-based lidars
when ADM-Aeolus passes in different sites.
Westerlies
East Asian
monsoon
Indian
monsoon
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Siberian cold
polar airflow
Thanks for listening…
Aeolus Science & Cal/Val WS, Frascati