Lectures 22 LIDAR Different types of LIDARece583/lecture 22 10.pdf14 DIAL Lidar Limitations: •DIAL...
-
Upload
phunghuong -
Category
Documents
-
view
215 -
download
0
Transcript of Lectures 22 LIDAR Different types of LIDARece583/lecture 22 10.pdf14 DIAL Lidar Limitations: •DIAL...
3
DIAL
Rk
)PP(ln)
PP(ln
N
bins range discrete for
'dr)kk(N)PPln(
Nk)'r(
)'dr)'r(exp(cP
RRR
R
a,extext
R
ext
ΔΔ
−=
−−≈
+σ=σ
σ−πβ
=
Δ+
∫
∫
2
2
24
2
1
2
1
021
2
1
0
N – Gaseous Species Densityk – Gaseous Species Absorption Cross Section per Unit Density
14
DIAL Lidar Limitations:
•DIAL requires high power, complex and expensive lasers with reliability limitation to generate and control transmitted energy precisely on spectral absorption lines.
•Like all lidar DIAL does not operate through dense clouds and DIAL retrievals are problematic even for thin clouds.
•DIAL involve a differential signal analysis where the answer is a small different between two large quantities. Thus DIAL requires a much larger signal-to-noise signal and lidar system than aerosol lidar.
•DIAL to date requires large expensive, non-eyesafe Lidar systems that need the support of large engineering teams.
•Space borne DIAL is turning out to be a “Big Lie” of science similar to controlled nuclear fusion. Ground and airborne system rely on long pulse averaging. Space platform move at ~7000 m/s compared to ~200 m/s for aircraft. Currently both NASA and ESA have no plans for space DIAL.
28
Limitation: Raman scattering cross sections are a thousand to ten thousand times smaller than Rayleigh scattering cross sections.
38
The Raman Lidar (RL) is an active, ground-based laser remote sensing instrument that measures vertical profiles of water-vapor mixing ratio and several cloud- and aerosol-related quantities. Lidar (light detection and ranging) is the optical analog of radar, using pulses of laser radiation to probe the atmosphere. This system is fully computer automated, and will run unattended for many days following a brief (~5-minute) startup period. The self-contained system (requiring only external electrical power) is housed in a climate-controlled 8'x8'x20' standard shipping container.Output Dataraw backscattered profiles at 355, 387, and 408 nm
DOE ARM Raman Nitrogen and Water Vapor Lidar
39
Raman Lidar Profiling of Water Vapor and Aerosolsover the ARM SGP Site
Richard Ferrare, David Turner, Lorraine Heilman, Wayne Feltz,Randy Peppler, Tim Tooman, Rangasayi Halthore
http://yard.arm.gov/~turner/doe_aerosols.html
40
• Fixed site• Vertical only• Nearly Continuous Operation• Nd:YAG (355 nm) (day/night)
– 12 W• 61 cm telescope• Wavelengths
– Rayleigh/Aerosol (355 nm)– Depolarization (355 nm)– Raman water vapor (408 nm)– Raman nitrogen (387 nm)
• 39 meter range resolution• low, high sensitivity channels
Additional information: http://www.arm.gov/docs/instruments/static/rl.html
Southern Great Plains (SGP) CART Raman Lidar
41
• Between April 1998 through present, system up ~50% of time• Prior to Feb 1999, electrical power interruptions caused most downtime
Raman Lidar System Status
Sep Nov Jan Mar May Jul Sep Nov Jan Mar May July Sep Nov0
10
20
30
40
50
60
70
80
90
100199919981997
Laser Repairs
1997
Replacement of Laser Rodand Flashlamps; installation of UPS
19991998
Upt
ime
(%)
Date
42
Raman Lidar Water Vapor Measurements
• Mixing Ratio
• Relative Humidity
– computed from lidar mixing ratio and AERI+Model temperatures
• Precipitable Water– computed from integral of lidar mixing ratio
=⎛⎝⎜
⎞⎠⎟
=⎛⎝⎜
⎞⎠⎟⎛⎝⎜
⎞⎠⎟
massof watervapormassof dryair
RamanH O signalRaman N signal
differentialtransmission
2
2
=⎛⎝⎜
⎞⎠⎟
mixing ratiosaturation mixing ratio
43
• Scattering Ratio
• Backscatter Coefficient– computed from scattering ratio and molecular backscatter
coefficient from AERI+Model density• Extinction Coefficient
– computed from derivative of the Raman N2 signal • Extinction/Backscatter Ratio [ωoPa(180o)/4π]-1
• Optical Thickness– computed from integral of extinction coefficient
Raman Lidar Aerosol Measurements
=+
=+⎛
⎝⎜
⎞⎠⎟⎛⎝⎜
⎞⎠⎟
( )aerosol molecular scatteringmolecularscattering
Rayleigh Mie signalRaman N signal
differentialtransmission
2
44
CART Raman Lidar/AERI+Model Clear-Sky ProductPeriod: April 1998-present (~50% coverage in time)Location:DOE ARM SGP CF site (Lamont , Oklahoma) (36o 37 ' N, 97o 30 ' W)Data: available via ftp from ARM Experiment Center (http://www.arm.gov)Color images at http://yard.arm.gov/~turner/raman_lidar_quicklooks.htmlMore information at http://yard.arm.gov/~turner/doe_aerosols.htmlMeasurement Altitude
RangeVerticalResolution
NominalTemporalResolution
Error Precision Detection Limit
AerosolBackscattering(355 nm)
0.060-8 km 78 m 10 min 5-10% 2% 0.0002-0.0004 km-sr-1
Aerosol Extinction(355 nm)
0.1-8 km 150-500 m 10 min 5-10% 5% 0.02-0.03 km-1
Aerosol OpticalThickness (355 nm)
- - 10 min 5% or0.03
5% 0.03
Water Vapor MixingRatio
0.060-8 km(night)0.060-4 km(day)
78 m 2-10 min 5% 2% 0.002 g/kg
Relative Humidity 0.060-8 km(night)0.060-4 km(day)
78 m 2-10 min 5% 5% 1%
Precipitable WaterVapor
- - 10 min 5% 5% 2 mm
Linear Depolarization 1-14 km 39 m 1-10 min 10% 2%Temperature(AERI+Model)
0-3 km(AERI)3-15(Model)
100 m- 1 km
8 min 1 K 1 K
Cloud Base Height 0.060-14 km 78 m 1-10 min 78 m 39 m 0.060 km
45
Examples of “Quick-look Images”
http://dev.ec.arm.gov/~turner/raman_lidar_quicklooks.html
Water Vapor Mixing Ratio
Relative Humidity
Aerosol Backscatter
Aerosol Extinction
46
Examples of “Quick-look Images”
http://dev.ec.arm.gov/~turner/raman_lidar_quicklooks.html
Linear Depolarization
Cloud Mask
Temperature
Potential Temperature
47
Examples of “Quick-look” Diagnostics
http://dev.ec.arm.gov/~turner/raman_lidar_quicklooks.html
Raman Lidar
Radiosonde
48
Examples of “Quick-look” Diagnostics
http://dev.ec.arm.gov/~turner/raman_lidar_quicklooks.html
Precipitable Water Vapor
Water Vapor Mixing Ratio (60 m)
Aerosol Optical Thickness
49
Mean Aerosol Extinction Profiles
• Seasonal variability in aerosol optical thickness• Vertical distributions vary with aerosol optical thickness and season
50
Mean Water Vapor Profiles
• Seasonal variability in precipitable water vapor• Smaller variations in vertical distribution