Spectral Aliassing I. “Bad Case Scenario” R. De Beek, M. Weber, R. Siddans (RAL), B. Latter...

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Spectral Aliassing I. “Bad Case Scenario” R. De Beek, M. Weber, R. Siddans (RAL), B. Latter (RAL) all albedo sequences were analysed to identify worst case scenario from LANDSAT/artificial albedo perturbation provided by RAL - PowerPoint PPT Presentation

Transcript of Spectral Aliassing I. “Bad Case Scenario” R. De Beek, M. Weber, R. Siddans (RAL), B. Latter...

1Mark.Weber@iup.physik.uni-bremen.de

GOME2 Error Study

WP 210: Spectral Aliassing

PM2 10/2001

Spectral Aliassing

I. “Bad Case Scenario”

R. De Beek, M. Weber, R. Siddans (RAL), B. Latter (RAL)

all albedo sequences were analysed to identify worst case scenario from LANDSAT/artificial albedo perturbation provided by RAL

worst case scenario was defined by maximum variance of differential albedo error spectra

definition of differential albedo error spectra:

I() – P() = Wa()(a()/a) – P()

I() relative intensity perturbation due to albedo variation P() fitted quadratic (cubic) polynomial Wa() albedo weighting function (SCIATRAN) a() albedo sequence with mean albedo subtracted a mean albedo of sequence

2Mark.Weber@iup.physik.uni-bremen.de

GOME2 Error Study

WP 210: Spectral Aliassing

PM2 10/2001

Gas Position StDev StDev mean albedo sequence file Scan (1m) (IFOV) albedo

O3 536 0 5.7e-04 3.6e-05 0.46 syn3/pix80_nd3_p1_10_1m_box_80_spec.sav NO2 509 0 3.0e-03 1.3e-04 0.51 syn10/pix80_nd10_p0_10_1m_box_80_spec.sav BrO 529 0 6.7e-04 6.3e-06 0.47 syn3/pix80_nd3_p1_10_1m_box_80_spec.sav

OClO 438 0 2.0e-03 8.3e-05 0.51 syn10/pix80_nd10_p0_10_1m_box_80_spec.sav

worst case scenario from 1m box artifical albedo perturbation

IFOV convolution reduces StDev by a factor of 15-100

albedo error spectra applied to biomass burning (No. 1) and ozone hole scenario (No. 2)

Results:

3Mark.Weber@iup.physik.uni-bremen.de

GOME2 Error Study

WP 210: Spectral Aliassing

PM2 10/2001

4Mark.Weber@iup.physik.uni-bremen.de

GOME2 Error Study

WP 210: Spectral Aliassing

PM2 10/2001

Results from weighted intensities using weights

determined from averaging a=0.05 and a=0.8 to obtain

mean albedo

Results from fits to I(a=0.05)

5Mark.Weber@iup.physik.uni-bremen.de

GOME2 Error Study

WP 210: Spectral Aliassing

PM2 10/2001

Results from weighted intensities using weights

determined from averaging a=0.05 and a=0.8 to obtain

mean albedo

Results from fits to I(a=0.05)

6Mark.Weber@iup.physik.uni-bremen.de

GOME2 Error Study

WP 210: Spectral Aliassing

PM2 10/2001

7Mark.Weber@iup.physik.uni-bremen.de

GOME2 Error Study

WP 210: Spectral Aliassing

PM2 10/2001

Results from weighted intensities using weights

determined from averaging a=0.05 and a=0.8 to obtain

mean albedo

Results from fits to I(a=0.05)

8Mark.Weber@iup.physik.uni-bremen.de

GOME2 Error Study

WP 210: Spectral Aliassing

PM2 10/2001

Results from weighted intensities using weights

determined from averaging a=0.05 and a=0.8 to obtain

mean albedo

Results from fits to I(a=0.05)

9Mark.Weber@iup.physik.uni-bremen.de

GOME2 Error Study

WP 210: Spectral Aliassing

PM2 10/2001

Preliminary Conclusion for IT=0.1875ms and readout of 46ms:

errors on the order of less than 0.1% (O3), 80% (NO2), 11% (BrO), 5% (ozone hole OClO) have been observed for albedo variations of less than 0.04 (very small albedo variations!)

spatial aliassing equivalent noise is a dominant error source for current IT and readout time settings

larger albedo variations leads to variability of reference slant column and air mass factor (additional error source). DOAS assumes unique slant column within the window

fits will be repeated for intensities with proper mean albedo (a=0.46 and a=0.5)

additional case studies and error checking on current approach is planned.