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WAARSCHUWINGEN GEVAARLIJK WEER

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Comparing various Lidar/Radar inversion strategies using Raman Lidar data ... Good Raman lidar data can serve as semi-independent test of the strengths and ... – PowerPoint PPT presentation

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Title: WAARSCHUWINGEN GEVAARLIJK WEER


1

Comparing various Lidar/Radar inversion
strategies using Raman Lidar data
D.Donovan, G-J Zadelhof (KNMI) Z. Wang
(NASA/GSFC) D. Whiteman (NASA/GSFC)
2
Introduction
  • Background/Rational
  • Raman-vs-Elastic backscatter lidars
  • Results
  • Summary

3
Active (lidar/radar) cloud remote sensing
Radar
Lidar
l 3-100mm
l 350-1100nm
Difference in returns is a function of particle
size !!
4
Rational
  • KNMI lidar/radar routine developed for simple
    elastic lR backscatter lidar. No Rayleigh return
  • MPL lidar data from ARM has good Rayleigh signal.
    Should exploit it !
  • Good Raman lidar data can serve as
    semi-independent test of the strengths and
    weakness of different approaches.
  • Will first concentrate on Visible extinction
    retrieval.

5
Elastic vs Inelastic scattering
6
(No Transcript)
7
No Rayleigh, No Raman
  • The lidar extinction must first be extracted from
    the lidar signal (or, equivalently, the observed
    lidar backscatter must be corrected for
    attenuation).

Observed signal
Backscatter
Calibration Constant
Extinction
  • Ze used to link backscatter and extinction and
    facilitate extinction correction/determination
    process.
  • The retrieved extinction (corrected backscatter)
    can then be used with the Ze profile to estimate
    an effective particle size.

8
No Rayleigh No Raman
Must use Klett
  • Must estimate extinction at zm(cloud top)
  • Very difficult to do directly if one only has
    lidar info
  • I have Radar then use smoothness constraint on
    derived lidar/radar particle size, or extinction,
    or No.
  • But solutions converge if optical depth is above
    1 or so !!

9
If we have Useful Rayleigh above the cloud.
Then (effectively) can find S and Clid so
that The scattering ratio R is 1.0 below and
above cloud
10
If We have good Raman data then
Direct but noisy
Less noisy but indirect
11
A Test Case Using GSFC Raman lidar data and ARM
MMCR.
12
Comparison
Signature of MS
Using Rayleigh return above cloud
Using smooth Reff (?/Ze) constraint
13
Raman Ratio
Raman Direct
Method 1Use Rayleigh
Method 2 Smooth ?/Ze
14
Raman Direct
Method 1Use Rayleigh
Method 2 Smooth ?/Ze
15
Method 1 Ray above
Raman Ratio
Raman Direct
Raman Ratio-vs-Direct
Method 2 Smooth ?/Ze
Raman Ratio
Raman Direct
(Raman direct)
16
Conclusions
  • Multiple scattering effects clearly seen. Appear
    well accounted for using Elorantas approach.
  • Should use Rayleigh info if available.
  • Smooth Reff (?/Ze) approach may overestimate
    extinction by factor 1.5 if Tau lt 0.5.
  • Will investigate effect of smooth No.
  • Aim to create blended approach for non-Raman
    lidars to smoothly handle range of cases for
    non-Raman (i.e MPL) where Rayleigh signal from
    above cloud may or may not be available.
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