14-16 April 2003International Limb Workshop, Bremen On two potential sources of systematic error in...

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14-16 April 2003 International Limb Workshop, Bremen Environm ent Canada Environnem ent C anada On two potential sources of systematic error in retrievals using limb-scattered sunlight Chris A. McLinden (1) and Christopher E. Sioris (2) (1) Meteorological Service of Canada, Toronto, Ontario, Canada ([email protected]) (2) Atomic and Molecular Physics Division, Harvard-Smithsonian Center for Astrophysics, Cambridge, Massachusetts, USA
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Transcript of 14-16 April 2003International Limb Workshop, Bremen On two potential sources of systematic error in...

14-16 April 2003 International Limb Workshop, Bremen EnvironmentCanada

EnvironnementCanada

On two potential sources of systematic error in retrievals using limb-scattered sunlight

Chris A. McLinden (1) and Christopher E. Sioris (2)

(1) Meteorological Service of Canada, Toronto, Ontario, Canada ([email protected])

(2) Atomic and Molecular Physics Division, Harvard-Smithsonian Center for Astrophysics, Cambridge,

Massachusetts, USA

14-16 April 2003 International Limb Workshop, Bremen EnvironmentCanada

EnvironnementCanada

Outline

1. Allowing for a varying atmosphere along the line-of-sight (LOS) when performing retrievals

2. Systematic errors in plane-parallel models, including so-called “pseudo-spherical” limb scattering models.

14-16 April 2003 International Limb Workshop, Bremen EnvironmentCanada

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Varying atmosphere along the LOS (1)

Perform multiple plane-parallel calculations, each one for a particular atmosphere & SZA along the LOS

From these, calculate LOS sources function – integrate to obtain limb radiance

Using vector RT model of McLinden et al.

(Can. J. Phys., 80, 375-383, 2002)

14-16 April 2003 International Limb Workshop, Bremen EnvironmentCanada

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Varying atmosphere along the LOS (2)

- in practice, slices narrower near tangent point

OS or SCIAN 1

2

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Varying atmosphere along the LOS (3)

Want to estimate magnitude of errors when atmosphere is not homogeneous along LOS, but assumed to be in retrieval (‘2D’ forward, ‘1D’ inversion)

If species diurnal, can a ‘2D’ retrieval improve result for scans near terminator and SZA variations along LOS ?

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Varying atmosphere along the LOS (4)

5 6 7 8 9 2 3 4 5 6 7 8 91.0 10.0R adiance (uW /nm /cm 2/sr)

10.0

15.0

20.0

25.0

30.0

Tan

gent

Alti

tude

(km

)

0.0E+0 2.0E+12 4.0E+12 6.0E+12O zone Num ber Density (/cm 3)

N o H ole

H ole on N ear S ide

H ole on Far S ide

65S , O ctSZA=80dAZ=90

5 6 7 8 9 2 3 4 5 6 7 8 91.0 10.0Radiance (uW /nm /cm 2/sr)

10.0

15.0

20.0

25.0

30.0

Tan

gent

Alti

tude

(km

)

65S , O ctSZA=80dAZ=90cirrus o.d.=0.1 at 13km

N o C irrus

C irrus a t TP only

C irrus in a ll A tm s

14-16 April 2003 International Limb Workshop, Bremen EnvironmentCanada

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Varying atmosphere along the LOS (4)

0.0E+0 2.0E+12 4.0E+12 6.0E+12O zone Num ber Density (/cm 3)

10.0

20.0

30.0

40.0

Alti

tude

(km

)

N o H ole

H ole on N ear S ide

H ole on Far S ide

65S, O ctSZA=80dAZ=90

- Flittner algorithm used-‘2D’ forward calculation, ‘1D’ inversion

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Varying atmosphere along the LOS (5)

0

5

10

15

20

25

30

35

40

45

0.0E+00 5.0E+07 1.0E+08 1.5E+08 2.0E+08 2.5E+08 3.0E+08 3.5E+08 4.0E+08

NO2 number density (molec/cm3)

Alti

tude

(km

)

perturbed standard

14-16 April 2003 International Limb Workshop, Bremen EnvironmentCanada

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Varying atmosphere along the LOS (6)

0

5

10

15

20

25

30

35

40

45

-4% -2% 0% 2% 4% 6% 8% 10%

Overestimation

Alti

tude

(km

)

-Sioris NO2 inversion algorithm used-Uses an iterative onion peel technique

SZA=27º, dAZ=92º;Aug., 25ºN, albedo=0

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Varying atmosphere along the LOS (7)

0

5

10

15

20

25

30

35

40

45

-80% -70% -60% -50% -40% -30% -20% -10% 0% 10%

Overestimation

Alti

tude

(km

)

linear nearest neighbour

SZA=27º, dAZ=92º;Aug., 25ºN, albedo=0

14-16 April 2003 International Limb Workshop, Bremen EnvironmentCanada

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Varying atmosphere along the LOS (8)

1012141618202224262830323436384042

-100% -80% -60% -40% -20% 0% 20% 40% 60% 80% 100%

Overestimation

Alti

tude

(km

) f ar 14

tan pt 14

far 13

tan pt 13

SZA=27º, dAZ=92º;Aug., 25ºN, albedo=0

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Varying atmosphere along the LOS (9)

0.0E+0 4.0E+8 8.0E+8 1.2E+9 1.6E+9 2.0E+9N um ber D ensity (/cm 3)

15.0

20.0

25.0

30.0

35.0

40.0

Alti

tude

(km

)

H A LO E

O SIR IS 1D

O SIR IS 2D

Comparison of ‘1D’ and‘2D’ OSIRIS inversionswith HALOE coincidence

LOS scaling factors fromphotochemical box model

4 June 2002 lat=4ºN, lon=55ºW

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Systematic Errors in “Pseudo-Spherical” Limb Radiances (1)

- Comparison of several “pseudo-spherical” (PS) radiative transfer model calculations with 3-D, spherical Monte-Carlo (MC) model calculations show systematic errors

- These errors increase with (a) tangent height and (b) surface albedo

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Systematic Errors in “Pseudo-Spherical” Limb Radiances (2)

SZA=39º; albedo=0.95

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Systematic Errors in “Pseudo-Spherical” Limb Radiances (3)

-PS calculations based on plane-parallel source function & integrated through spherical-shell atmosphere

-These errors are driven by an overestimation of the surface reflected component – either the surface proper or the effective Rayleigh “surface”

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Systematic Errors in “Pseudo-Spherical” Limb Radiances (4)

-root of problem is how much of the surface a point in the atmosphere “sees”:

-PP atmosphere: point sees 2 [str]

-spherical atmosphere: point sees <2 [str]; this decreases with altitude

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Systematic Errors in “Pseudo-Spherical” Limb Radiances (5)

THE

E

zR

R1sin*

Point under consideration

Direct

Surface reflected *

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Systematic Errors in “Pseudo-Spherical” Limb Radiances (6)

- try simple, near-transparent atmosphere correction factor using ratio of PS to spherical solid angles

Where is cos(SZA) and is surface albedo0

0

0

21

*)cos1(21

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Systematic Errors in “Pseudo-Spherical” Limb Radiances (7)

-2 0 2 4 6 8 1010

20

30

40

50

60T

ang

ent

He

ight

(km

)

Percent Difference

=0.0=0.5=1.0

800 nm

SZA=39º

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Systematic Errors in “Pseudo-Spherical” Limb Radiances (8)

-Trace gas retrievals should be minimally impacted since there will be cancellation/removal of this effect- e.g., the Flittner radiance-ratio method there will be a large degree of cancellation due to form of retrieval vector; - in DOAS it will not cancel but it would be included or removed in closure polynomial or high pass filter

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Systematic Errors in “Pseudo-Spherical” Limb Radiances (9)

-Aerosol retrievals may suffer systematic errors if the retrieval involves a model-measurement matching of radiances

-If aerosol signal small, the PP errors can lead to amplified aerosol errors; unclear how “optimal”-type solutions would handle this

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Systematic Errors in “Pseudo-Spherical” Limb Radiances (10)

-If aerosol signal is: S = I(measure) – I(model w/o aerosol)

-But P-P aerosol signal is:

SPP = I(measure) – I(model w/o aerosol) / c

Where c=

0

0

21

*)cos1(21

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Systematic Errors in “Pseudo-Spherical” Limb Radiances

14-16 April 2003 International Limb Workshop, Bremen EnvironmentCanada

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Systematic Errors in “Pseudo-Spherical” Limb Radiances (12)

400 500 600 700 80020

25

30

35

40

45

50

Wavelength (nm)

Tan

gent

Hei

ght

(km

)

0

0.05

0.1

0.15

0.2

0.25

0.3

0.35

0.4

0.45

0.5

14-16 April 2003 International Limb Workshop, Bremen EnvironmentCanada

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Systematic Errors in “Pseudo-Spherical” Limb Radiances (13)

400 500 600 700 80020

25

30

35

40

45

50Error in Aerosol "Signal": SZA=60o, albedo=0.3

Wavelength (nm)

Ta

nge

nt H

eig

ht (

km)

-0.5

-0.45

-0.4

-0.35

-0.3

-0.25

-0.2

-0.15

-0.1

-0.05

0

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Conclusions & Future Work

-systematic PS errors may be important in OS aerosol retrievals + other RT applications including photochemistry (& other planetary atmospheres)

-attempt to obtain “universal” correction valid at all wavelengths, tangent heights, albedo

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Systematic Errors in “Pseudo-Spherical” Limb Radiances (14)

0

0

21

*)cos1(21

c

)()(38

31412

/)( 01 EEe