Transcript Document

HEAPnet meeting, 19-20 February 2007, Amsterdam

LIDAR

Atmospheric corrections determined using Raman/backscatter lidar measurements

Valentin Mitev

Observatory of Neuchâtel

Rue de l’Observatoire 58, CH2000 Neuchâtel Switzerland Tel.: +41 –32–889 8813

E-mail: [email protected]

Atmospheric corrections determined using Raman/backscatter lidar measurements

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HEAPnet meeting, 19-20 February 2007, Amsterdam

LIDAR • • • • • • • •

Content:

Measurement requirements Concept for the Lidar set-up Extinction derivation, vibrational Raman Numerical performance simulations for Extinction derivation, Raman lidar Extinction derivation, elastic backscatter Temperature derivation, pure Rotational Raman Conclusion Annex: Compact backscatter lidar in field measurements Atmospheric corrections determined using Raman/backscatter lidar measurements

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HEAPnet meeting, 19-20 February 2007, Amsterdam

LIDAR Measurement requirements

Zenith angle Range-resolved transmission (extinction coefficient) 0°-60°

Temperature profile Direction of probing

~7km Total transmission

Atmospheric corrections determined using Raman/backscatter lidar measurements

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HEAPnet meeting, 19-20 February 2007, Amsterdam

LIDAR

Raman-elastic backscatter lidar – Concept:

• One laser with two/optional three separate receivers for increased dynamic range and decrease of the « blind » range • Transmitted wavelength: 355nm, 532nm, 3rd/2nd harmonics of Nd:Yag laser • Receiverd wavelengths: 355nm (elastic); 387nm (Raman N 2 ), 532nm elastic + polarisation/depolarisation; Rotational Raman at (533nm, 531nm)+ (529nm, 535nm) • • Lidar on pointing platform for collocation of the direction of probing with te line-of-sight of the Cerenkov camera; Optical&Laser part in environmental housing Atmospheric corrections determined using Raman/backscatter lidar measurements

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HEAPnet meeting, 19-20 February 2007, Amsterdam

LIDAR

Raman backscatter lidar: Basics

• • One laser line transmitted (UV/ vis) Received Raman vibrational: N2, O2, H2O/Rorational • Determined: extinction, water vapours, temperature • Development and use: since early 1980s / in atmospheirc probing for aerosol extinction and microphysics, humidity, temperature, … Atmospheric corrections determined using Raman/backscatter lidar measurements

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HEAPnet meeting, 19-20 February 2007, Amsterdam

LIDAR

No. Lidar determined Value status 1 2 3 4

Extinction (355nm - 387nm) ~(total transmission 0km-7km altitude) Remark: First few hundred meters excluded

Required output Input from Lidar signal Vibrational Raman N2/Excitation 355nm Option: Rotational Raman scattering/excitation 355nm

Extinction profile 7km 12km altitude at 355nm Depolarization Ratio (355nm or 532nm) Temperature via calibrated ratio of Rotational Raman backscatter signals

Required output Elastic backscatter 355nm Vibrational Raman N2 Option: Rotational Raman /excitation 355nm Auxiliary Elastic backscatter at 355nm or 532nm with polarization analyzer Optional Rotational Raman scattering, O2 and N2, excitation 355nm Additional inputs/instruments

Molecular density, derivative

Option 1:Temperature and pressure/local dedicated radiosonde station Option 2: ECMWF+closest radiosondes station Option 3: Rotational Raman temperature measurements with dedicated lidar receiver channels

Extinction at surface level (for correction)

Surface transmissiometer

Molecular density

As above

Molecular density

As above Lidar calibration procedure

Atmospheric corrections determined using Raman/backscatter lidar measurements

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HEAPnet meeting, 19-20 February 2007, Amsterdam

LIDAR 1.

Laser; 2a, 2b, 2c. Telescope long/med/short range 3a, 3b, 3c. Spectral selection 4a, 4b, 4c. Detectors 5. Pointing platform/environnmental housing 6. Synchronisation: Acqusition and Laser pulse& Main Experiment 7.Signal acquisition electronics

6 7 Data out Synch out 5 4a 4b 3b 4c 3a 3c 1 2a 2b 2c

Atmospheric corrections determined using Raman/backscatter lidar measurements

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HEAPnet meeting, 19-20 February 2007, Amsterdam

LIDAR

Laser

532nm, 355nm

Receiver

532nm-

s

4

532nm -

p

3

387nm 532nm

2 2 1 3

532nm (e) 355nm (e) 356/8nm (2*RR-S) 352/4nm (2*RR-aS)

355nm RR1…RR4

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aS1/ aS2/ 355nm/ S1/ S2 1-Coupling optics 2-Dichroic beamsplitter 3-Interference filter 4-Depolarisation beamsplitter 5-Grating spectrometer

Atmospheric corrections determined using Raman/backscatter lidar measurements

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HEAPnet meeting, 19-20 February 2007, Amsterdam

LIDAR Extinction derivation from vibrational Raman backscatter

E

R

( r )

R ( r )

 

E

L

K

R

O ( r A ) r

2

c 2

 

N M ( r )

 

d

Ram d

( v )

    

R

( r ) exp

0

r

  

( r ' )

 

R

( r ' )

dr '

… two times the averaged value of the extinction coefficient in the spectral range 355nm – 387nm

d dr

ln

 

N N 2 ( r ) / S N 2 ( r )

    

( r )

 

N 2 ( r )

Atmospheric corrections determined using Raman/backscatter lidar measurements

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HEAPnet meeting, 19-20 February 2007, Amsterdam

LIDAR • • • • • • • • •

Inputs for the performance simulations:

Lidar subsystems specifications Pulse energy at 355nm: 300mJ/PRR : 20Hz Telescope diameter of the « long-range » receiver: 80cm Efficiency transmitter/receiver (without filter): 07./07 Transmission, filter: 0.6

Detector, Quantum efficiency: 0.2

Lidar measurement parameters Integration time: 600sec Zenith angle (from zenith): 60 ° Range resolution: 120m at 60 Ambient optical background: full moon – 7*10 -4 Wm -2

m

m -1 Atmospheric corrections determined using Raman/backscatter lidar measurements

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HEAPnet meeting, 19-20 February 2007, Amsterdam

LIDAR Atmosphere: • Molecular model: hydrostatic • Aerosol model: PBL/dust, 0 - 2 km tropospheric layer, 3 - 5km cirrus cloud, 9 - 10,4km

Cirrus cloud, 9 – 10.4km

Tropopsphere/Desert Dust, 3-5km PBL/Dust layer, 0-2km

Atmospheric corrections determined using Raman/backscatter lidar measurements

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HEAPnet meeting, 19-20 February 2007, Amsterdam

Vibrational -Raman signal – simulated, at slant path 60 deg LIDAR Atmospheric corrections determined using Raman/backscatter lidar measurements

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HEAPnet meeting, 19-20 February 2007, Amsterdam

LIDAR Extinction from the vibrational Raman signal Atmospheric corrections determined using Raman/backscatter lidar measurements

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HEAPnet meeting, 19-20 February 2007, Amsterdam

LIDAR Error of the extinction coefficient obtained from the vibrational Raman signal Atmospheric corrections determined using Raman/backscatter lidar measurements

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HEAPnet meeting, 19-20 February 2007, Amsterdam

LIDAR Error of the extinction coefficient obtained from the vibrational Raman signal - ZOOM

Range x10

4

m , @60° zenith angle

Atmospheric corrections determined using Raman/backscatter lidar measurements

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HEAPnet meeting, 19-20 February 2007, Amsterdam

LIDAR Total atmospheric transmission of the marked layers, derived from the simulated Raman signal « TRmod » = model value; « TRmeas » = derived value

Cirrus cloud

TRmodcloud = 0.9498

TRmeas cloud = 0.9508

TRmodel = 0.5836

TRmeasured = 0.5830

Tropopsphere/Desert Dust PBL/Dust layer

Atmospheric corrections determined using Raman/backscatter lidar measurements

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HEAPnet meeting, 19-20 February 2007, Amsterdam

LIDAR

Concept for derivation of the extinction coefficient inside aerosol layer using elastic backscatter

Assumptions: - The layer contains the same type of aerosol (e.g.,subvisible cirrus cloud)

-

Aerisol-free atmosphere above the cloud

-

Total layer (cloud) transmision is determined from the Raman signal Atmospheric corrections determined using Raman/backscatter lidar measurements

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HEAPnet meeting, 19-20 February 2007, Amsterdam

Extinction from Elastic backscatter signal - simultion LIDAR Aerosol layer (Cirrus cloud) reference Atmospheric corrections determined using Raman/backscatter lidar measurements

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LIDAR

HEAPnet meeting, 19-20 February 2007, Amsterdam

The elastic-backscatter lidar equation

E

( r )

E

L

K

 

O ( r A ) r

2

c

2

 

( r ) exp

   

2

r 0

  

( r ' ) dr '

 

S ( r )

  

E

( r ) r 2

 

dS

( r ) dr

  

1

 

d

 

dr

2

 

Atmospheric corrections determined using Raman/backscatter lidar measurements

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LIDAR

HEAPnet meeting, 19-20 February 2007, Amsterdam

The Fernald's inversion method for derivation of the backscatter coefficient;

is omitted

S ( r ) exp

2 ( lr

lr 0 ) rf

r d r

 

mol ( r

)

S

( r r f

 

)

2 lr r f

r d r

S ( r

) exp

  

2 ( lr

lr 0 ) r f

r d r

 

mol ( r



)

  

( r )

 

mol

( r )

 

aer

( r )

Additional conditions: • “ lr ” is constant (extinction to backscatter ratio, initial approximation taken from model values, here the depolarization ratio may help to classify the cloud particles), • “ r f ” is a reference range

• “

 (r f )

” is known ( typically, the molecular backscatter) Atmospheric corrections determined using Raman/backscatter lidar measurements

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LIDAR

HEAPnet meeting, 19-20 February 2007, Amsterdam

Assuming: “

(r)

” is derived from elastic lidar

Total double trip transmission “DTis derived from Raman lidar,

Molecular backscatter is known/type of particles may be “guessed”

Then we may determine “ lr ” from DT ( r 1 , r 2 )

exp

   

2 r

2

lr .

r 1 aer ( r ' )

 

mol ( r '

) dr '

  

And the profile of the aerosol extinction in the cloud

aer

( r )

lr .

aer

( r )

Atmospheric corrections determined using Raman/backscatter lidar measurements

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HEAPnet meeting, 19-20 February 2007, Amsterdam

Derivation of the atmospheric temperature profile using pure rotational Raman backscatter LIDAR Rotational Raman Spectra of N2 and O2, Excitation at 532nm Atmospheric corrections determined using Raman/backscatter lidar measurements

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HEAPnet meeting, 19-20 February 2007, Amsterdam

LIDAR Spectral intervals in pure RR where the scattering cross-sections derivative has opposite sign

of N2 (red) and O2 (black)

lines of N2 (red) and O2 (black)

R ( T K )

     

I I

  

N

N 2 st ( T 2 st ( T )

)

I I

N

N 2 ast ( T 2 ast ( T )

)

I I

O

O 2 st 2 st ( ( T T )

)

I I

O

O 2 ast 2 ast ( T ( T ) )

     3,5 3 2,5 2 1,5 1

« - » « - »

0,5 0 -0,5 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 -1

« + » wavelength, nm « + »

exp( a

b / T )

R(T)=exp( Typically

is critical.

– dR/dT ~0.05%

/T)

A calibration of the lidar

Atmospheric corrections determined using Raman/backscatter lidar measurements

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HEAPnet meeting, 19-20 February 2007, Amsterdam

LIDAR Atmospheric corrections determined using Raman/backscatter lidar measurements

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HEAPnet meeting, 19-20 February 2007, Amsterdam

LIDAR

Uncertainty - ZOOM 60° zenith angle Integration time: 30min Range resolution: 120m

Atmospheric corrections determined using Raman/backscatter lidar measurements

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HEAPnet meeting, 19-20 February 2007, Amsterdam

LIDAR

Summary:

A Raman-backscatter Lidar for CTA-site is a technically feasible solution for the requirements in CTA: • Advantages: « Real time » and « Real direction » coinciding • with the pointing direction the Cherenkov Telescope(s) The necessary lidar methods and algorithms are developed, • adaptation to the tasks will be possible ; Realistic subsystem specifications, compatible with the • commercially available hardware; Additional /Optional lidar tasks: laser backscatter for calibration of the Cherenkov telescope; Remark: This presentation is not with system optimisation. The final specifications may be different from the specifications used for numerical simulations Atmospheric corrections determined using Raman/backscatter lidar measurements

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HEAPnet meeting, 19-20 February 2007, Amsterdam

LIDAR

Next step for the Raman lidar - a design study with the following objectives:

• Detailed numerical simulations of the various detection modes with respect to the finalised detection requirements • • Concept design and optimisation; Algorithm developments; • power Optional 1: Participation in atmospheric characterisation at • the potential CTA sites; Optional 2: Raman lidar bread-board/ lower aperture and Atmospheric corrections determined using Raman/backscatter lidar measurements

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HEAPnet meeting, 19-20 February 2007, Amsterdam

LIDAR

ANNEX:

Possibility for atmospheric characterisation at potential CTA sites with a compact elastic backscatter lidars

3.5

3.0

r] 8 5:0 0-1 :5 14 0, 00 9.2

.0

13 n: riso pa rcom nte burg l I) Ham châte MP stitut ( de Neu oire lanck-In vat -P Obser Max L-up Lidar MA ET - I LIN EAR m*s -6 [1/ 2.5

10 ent * 2.0

fici 1.5

coef ing 1.0

scatter 0.5

osol back Aer 0.0

7000 6000 5000 4000 3000 2000 1000 0 -0.5

00 -10

Atmospheric corrections determined using Raman/backscatter lidar measurements

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HEAPnet meeting, 19-20 February 2007, Amsterdam

LIDAR

Micro-pulse lidars on stratospheric aircraft (M55)

MAL 1 MAL 2 32 cm MAL-1 MAL-2

Atmospheric corrections determined using Raman/backscatter lidar measurements

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HEAPnet meeting, 19-20 February 2007, Amsterdam

LIDAR

Micro-pulse lidars on stratospheric aircraft (M55)

SCOUT O3/ Brunei Darwin, 12 November 2005

Backscatter Ratio=

(

a +

m )/

m

Atmospheric corrections determined using Raman/backscatter lidar measurements

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HEAPnet meeting, 19-20 February 2007, Amsterdam

LIDAR • Ground-based LIDAR, transportable development, observations, data analysis

Example for 24h- measurement of the aerosol load above Basel in project BUBBLE

600mmx600mmx700mm

The lidar on the balcony of the 5th floor of the University of Basel; Project BUBBLE (2001-2002) . The lidar was remotely operated from ON

Atmospheric corrections determined using Raman/backscatter lidar measurements

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HEAPnet meeting, 19-20 February 2007, Amsterdam

LIDAR • Ground-based three-wavelength elastic Raman LIDAR, in Observatory of Neuchatel Operational, Presently under refurbishment Concerning the CTA-activity: • Not transportable • May be a base for the Raman lidar bread board/test bench wrt the CTA requirements • Possibility to be deployed on site (with limitations for steering, schedule …) Atmospheric corrections determined using Raman/backscatter lidar measurements

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HEAPnet meeting, 19-20 February 2007, Amsterdam

LIDAR

Summary

for the “compact lidar” capabilities:

-

Possibility for qualitative characterisation of the aerosol vertical/slant path profile: Backscatter coefficient profile (~30% uncertainty, systematic), altitude of layers,

-

Convenient transportation and implementation on the field

-

Limitations: The qualitative evaluation is not adequate to the requirements in CTI, i.e., NOT a replacement for the Raman lidar) Atmospheric corrections determined using Raman/backscatter lidar measurements

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HEAPnet meeting, 19-20 February 2007, Amsterdam

LIDAR

Thank you!

Valentin Mitev

([email protected]) Observatory of Neuchâtel

Rue de l’Observatoire 58, CH2000 Neuchâtel Switzerland

Atmospheric corrections determined using Raman/backscatter lidar measurements

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