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The Physics of The Physics of Atmospheric Gas Atmospheric Gas Measurements Measurements 2. 2. Atmospheric physics as Atmospheric physics as applied to data analysis applied to data analysis algorithms algorithms Kelly Chance Kelly Chance Harvard-Smithsonian Center for Astrophysics Harvard-Smithsonian Center for Astrophysics

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Page 1: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics

The Physics of The Physics of Atmospheric Gas Atmospheric Gas MeasurementsMeasurements

2. 2. Atmospheric physics as Atmospheric physics as applied to data analysis applied to data analysis

algorithmsalgorithms

Kelly ChanceKelly ChanceHarvard-Smithsonian Center for AstrophysicsHarvard-Smithsonian Center for Astrophysics

Page 2: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics
Page 3: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics

The Horiba Jobin Yvon Company has an excellent website giving a tutorial on the optics of spectroscopy: http://www.horiba.com/us/en/scientific/products/optics-tutorial/

Page 4: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics
Page 5: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics
Page 6: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics
Page 7: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics
Page 8: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics

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Page 9: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics

x

x

Page 10: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics
Page 11: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics
Page 12: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics
Page 13: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics

(a) Fraunhofer reference spectrum for the NO2 fitting region; (b) Fraunhofer convolved to GOME spectral resolution; (c) = (b) convolved with rotational Raman cross-sections = Ring effect scattering source per molecule; (d) High-pass filtered version of (c) / (b) = DOAS “Ring effect correction.”

Ring effect correction spectrum

Page 14: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics

More scattering:

Page 15: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics
Page 16: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics
Page 17: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics
Page 18: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics
Page 19: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics

Top-of-atmosphere solar spectral irradiance

The high resolution solar spectral irradiance is critical in analyzing atmospheric trace gases:

• Solar lines are source of accurate wavelength calibration (0.0003-0.0004 nm for GOME!)• Determination of the Ring effect• Improved knowledge of instrument slit functions• Correction for spectral undersampling• Photochemistry of Schumann-Runge system

A space-based determination would be an ideal support mission for 12+ international atmospheric missions!

• Range: 240-1000+ nm• FWHM: 0.01 nm or better• Ideal FTS Space Shuttle experiment

Page 20: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics

High resolution solar reference spectrum

Page 21: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics
Page 22: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics
Page 23: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics
Page 24: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics
Page 25: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics

Griffiths and De Haseth, Fourier Transform Infrared Spectroscopy

Page 26: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics
Page 27: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics

1

2 max

1

( ) sinc[2 ( ) / ],m

i ii

S c

1

( ) ( ) sinc[2 ( ) / ].m

und i ii

S ILS c

Sampling Contributions to Instrument Line Shape (Slit Function)

The fully (Nyquist) sampled part is

where and max is the spatial sampling on the detector.

m runs over the detector pixels. The undersampled part is

Chance, K., T.P. Kurosu, and C.E. Sioris, Undersampling correction for array-detector based satellite spectrometers, Applied Optics 44, 1296-1304, 2005.

Page 28: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics

OMI NO2 window:2.98 pixel/FWHM

OMI instrument transfer function for the NO2 fitting region and the Nyquist-sampled and

undersampled portions.

Page 29: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics

OMI instrument transfer function for the NO2 fitting region and the Nyquist-sampled and

undersampled portions for the hypothetical case where the slit function is sampled to twice the spatial frequency.

Page 30: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics
Page 31: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics

GOME

Page 32: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics

Undersampling corrections are made by:

1. Convolving the high resolution solar reference spectrum with the instrument line shape

2. Resampling this convolved high-resolution to the wavelength-shifted position (the shift between the radiance and irradiance) in two ways:

A. Properly sampled (using the entire available solar reference spectrum)

B. Undersampled (using a representation at the actual instrument sampling)

3. The difference between A and B is the undersampling correction.

Now used in GOME, GOME-2, SCIAMACHY, and OMI

Page 33: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics

Spectral Undersampling Correction

Chance, K. Analysis of BrO measurements from the Global Ozone Monitoring Experiment. Geophys. Res. Lett. 25, 3335-3338, 1998.

Slijkhuis, S., A. von Bargen, W. Thomas, and K. Chance, Calculation of undersampling correction spectra for DOAS spectral fitting, Proc. ESAMS'99 - European Symposium on Atmospheric Measurements from Space, 563-569, 1999.

Chance, K., T.P. Kurosu, and C.E. Sioris, Undersampling correction for array-detector based satellite spectrometers, Applied Optics 44, 1296-1304, 2005.

Solar Reference Spectrum:

Chance, K.V., and R.J.D. Spurr, Ring effect studies: Rayleigh scattering, including molecular parameters for rotational Raman scattering, and the Fraunhofer spectrum, Applied Optics 36, 5224-5230, 1997.

Page 34: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics
Page 35: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics
Page 36: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics
Page 37: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics

The End!

Page 38: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics

Rayleigh Scattering Phase Function

Petty, 2004

ElEr E

Page 39: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics

 

GOME BrO fitting: Relative contributions absorption by atmospheric BrO (top) and the Ring effect - the inelastic, mostly rotational Raman, part of the Rayleigh scattering – (bottom).

Page 40: The Physics of Atmospheric Gas Measurements 2. Atmospheric physics as applied to data analysis algorithms Kelly Chance Harvard-Smithsonian Center for Astrophysics

Size Parameter x Determines Type of Scattering

Petty, 2004

a

x2

a = particle radius