cloud sensitivity studies for stratospheric and lower mesospheric
DESCRIPTION
Cloud sensitivity studies for stratospheric and lower mesospheric ozone profile retrievals from limb scattered solar radiance T. Sonkaew , C. von Savigny, A. Rozanov, V. Rozanov, H. Bovensmann and J.P. Burrows Institute of Environmental Physics and Remote Sensing, - PowerPoint PPT PresentationTRANSCRIPT
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Cloud sensitivity studies for stratospheric and lower mesospheric Cloud sensitivity studies for stratospheric and lower mesospheric ozone profile retrievals from limb scattered solar radianceozone profile retrievals from limb scattered solar radiance
T. Sonkaew, C. von Savigny, A. Rozanov, V. Rozanov, H. Bovensmann and J.P. Burrows
Institute of Environmental Physics and Remote Sensing, University of Bremen, Bremen, Germany
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OutlineOutline
IntroductionMethodologyRetrieval algorithm and Forward simulationLinear approximationSensitivity studies
Weighting functions Cloud parameters Ground albedo Viewing angles
ConclusionsFuture work
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IntroductionIntroduction
Clouds cover 60% of atmosphere, 7% of tropospheric volume. [Lelieveld et al., 1989 and Pruppacher and Jaenicke, 1995]
Photo by R. Macatangay The reflectance at 443 nm from SCIAMACHY data using SACURA, 1 Jan 2006 – 31 Dec 2006
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Introduction Introduction
Clouds interact with the incoming solar radiation and long wavelength radiation emitted from the Earth.
Clouds have an impact on the trace gas retrieval.
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line of sight
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truei3
truei3i3i )](z[
)](z[)](z[)(zerror Retrieval
O
OO cloud
How to estimate the impact of clouds on the ozone retrieval?How to estimate the impact of clouds on the ozone retrieval?
Cloudiness scenario
Cloud free scenarioSimulated limb radiance spectra
Retrieval in cloud free scenario
Ozone vertical profile
Ozone profile in cloudy atmosphere
True ozone profile
Radiative transfer code
“SCIATRAN”
Vertical P, T and albedo
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Retrieval Algorithm Retrieval Algorithm
Combined the O3 profile in the Hartley, Huggins and Chappuis bands
Burrows et al., [1999]
1= 525 nm 3=675 nm
2=602 nm
The Chappuis bands in visible allow to retrieve O3 between 15-40 km [Flittner,2000; McPeters,2000; von Savigny,2002]
The absorption cross section of O3 in different temperatures and wavelengths in the Chappuis band (red arrows) used for O3 retrievals.
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Retrieval AlgorithmRetrieval Algorithm
The Hartley bands in UV allow to retrieve O3 between 35-65 km. Wavelengths 264, 267.5, 273.5, 283, 286, 288, 290 and 305 nm are chosen. [Rohen,2006]
Burrows et al., [1999]
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Retrieval AlgorithmRetrieval Algorithm Normalization step: reduce impact of ground albedo and cloud on O3 retrieval.
Reference tangent heights:
Combination of the Chappuis bands wavelengths:
Combination of the Hartley and Chappuis bands wavelengths: employ the retrieval vectors
)(
)()(
,
,,/
refi
THiTHk
nCH I
II
ii
i
i
THnmTHnm
THnm
THnC
II
Iy
,625,523
,602
,
,)( ,,Tn
THkTHk iiyy }9,,1{ k
Wavelengths (nm) 264 267.5 273.5 283 286 288 290 305 525 602 675
THstart(km)
THref (km)
52 52 52 45 45 45 45 35 9 9 9
71 71 71 68 65 65 61 55 41 41 41
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Retrieval AlgorithmRetrieval Algorithm
Numerical retrieval step: nonlinear Newtonian iteration optimal estimation [Rodger, 1976] SCIATRAN V 2.2 radiative transfer model [Rozanov et al., 2007] using Discrete Ordinate Method (DOM) [Chandrasekhar, 1950]
SCIATRAN set up • Aerosol : none• Ground albedo : 0.3 (for general cases)• Weighting function : single scattering• Cloud model : Mie phase function
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Use linear approximation to estimate the error.Use linear approximation to estimate the error.
H
fcfcfc dzzωzωSSnSnS0
)]()([)0()0()()(
,)(
)()()()0(
0
dzzn
znδzωnSS
H
c 1)(
)(0
)(
)(
zn
zn
zn
znδ
dzzωnSSH
c0
)()()0(
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Error EstimationError Estimation
+ : S = I0 at 600 nm
◆ : S = Normalized triple
+ : S = I0 at 600 nm
◆ : S = Normalized triple
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Error EstimationError Estimation
dzzωzωdzzεzω
dzzεzωdzn
nδzω
dzzωzωny
H
fc
H
f
H
f
H
f
H
fc
00
00
0
)]()([)()(
)()()(
)]()([)(
0)( zε
< 0, always
< 0+- > 0Can we use linear approximation to predict the error?
12
H
fcfcfc dzzωzωSSnSnS0
)]()([)0()0()()(
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Sensitivity studiesSensitivity studies
Weighting functions of cloud-free
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Sensitivity studiesSensitivity studies
Weighting functions of cloud-free and cloudy atmosphere
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Sensitivity studiesSensitivity studies
Different weighting functions of cloud-free and cloudy atmosphere 264 nm 273 nm 286 nm
290 nm 305 nm CHAPPUIS
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The retrieval ozone profiles from synthetic dataThe retrieval ozone profiles from synthetic data
The combined Hartley, Huggins and Chappuis bands O3 profiles in
from modeled calculation in cloud-free and cloudy atmosphere.
Cloud parameters: cloud height 4-7 km, τ=20, re=10 m, SZA = 30o, SAA = 30o
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Sensitivity studiesSensitivity studies
• Cloud types : (cloud level and cloud optical thickness)
Cirrus
Cirrostratus
Deep convection
Altocumulus
Altostratus
Nimbostratus
Cumulus
Stratocumulus
Stratus
0 - 3.6
3.6 – 23
23 – 379
High cloud (6-15 km)Middle cloud (2-7 km)Low cloud (1-3 km)
The cloud reflectance at 630 nm as function of . [Roebeling et al., 2005]
The relative O3 error
for low cloud, re = 10 m, and SZA = SAA = 30o
(SZA ~ 22o and SAA ~ 70o at TH = 25 km )
The relative O3 error
for middle cloud, re=10 m and SZA = SAA = 30o
(SZA ~ 22o and SAA ~ 70o at TH = 25 km )
The relative O3 error
for high cloud, re=10 m and SZA = SAA = 30o
(SZA ~ 22o and SAA ~ 70o at TH = 25 km )
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a) different cloud altitudes
The relative error of O3 retrieval profiles for cloud parameters: τ = 10, re = 10 m and SZA = SAA = 30o.
Sensitivity studiesSensitivity studies
Geometrical cloud thickness
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Sensitivity studiesSensitivity studies
Geometrical cloud thickness
The relative error of O3 retrieval profiles for cloud parameters: τ = 10, re = 10 m and SZA = SAA = 30o.
b) cloud center 4.9 km c) cloud center 10.5 km
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Sensitivity studiesSensitivity studies
Cloud effective radius
The reflection function of water clouds for different values of re at τ = 30 and SZA = 45o. [Kokhanovsky, 2001]
1
0.8
0.6
0.4
0.2
00
.5
1 1.5
2.0
2.5
The relative error of O3 retrieval profiles for different re. Cloud parameters: τ = 10, 2-7 km and SZA = SAA = 30o
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Sensitivity studiesSensitivity studies
Surface ground albedo
The relative error of O3 retrieval profiles for different ground albedo .
Cloud parameter: τ = 10, re = 10 m, SZA = SAA= 30o and cloud altitude 2-7 km.
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Sensitivity studiesSensitivity studies
Solar zenith angle Solar azimuth angle
The relative error of O3 retrieval profiles for different SZAs . Cloud parameter: τ = 10, re = 10 m, SAA = 30o and cloud altitude 2-7 km.
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The relative error of O3 retrieval profiles for different SAAs . Cloud parameter: τ = 10, re = 10 m, SZA = 30o and cloud altitude 2-7 km.
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Sensitivity studiesSensitivity studies
Viewing angles represent for SCIAMACHY
(SZA ≈ 62, SAA ≈ 33 at TH 25 km)
(SZA ≈ 30, SAA ≈ 55 at TH 25 km)
(SZA ≈ 40, SAA ≈ 130 at TH 25 km)
(SZA ≈ 70, SAA ≈ 160 at TH 25 km)
(SZA ≈ 78, SAA ≈ 175 at TH 25 km)
Cloud parameter: τ = 10, re = 10 m and cloud altitude 2-7 km.
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Sensitivity studiesSensitivity studies
Overview of cloud sensitivity to O3
The optical cloud thickness (left) and cloud effective radius (right) from SCIAMACHY data, using SACURA, 19 September 2007. [http://www.iup.physik.uni-bremen.de/~sciaproc/SACURA]
Frequent cloud : < 10, re = 20 m
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Overview of cloud sensitivity to O3 for frequent cloud Altitude (km)Altitude (km) 15 km 20 km 30 km 40 km 50 km 60 km 15 km 20 km 30 km 40 km 50 km 60 km
SZA = 50SZA = 50oo , SAA = 32 , SAA = 32o o (SZA ~(SZA ~ 30 30oo , SAA , SAA = 55= 55oo) ) **
SZA = 85SZA = 85oo , SAA = 22 , SAA = 22oo (SZA = 62(SZA = 62oo , SAA = 33 , SAA = 33oo) *) *
SZA = 68SZA = 68oo , SAA = 157 , SAA = 157oo(SZA = 78(SZA = 78oo , SAA = 175 , SAA = 175oo) *) *
< 3 % < 2.5 % < 2 % < 0.5 % < 0.1 % < 0.1 % < 3 % < 2.5 % < 2 % < 0.5 % < 0.1 % < 0.1 %
< 5 % < 5 % < 2.5 % < 0.5 % < 0.1 % < 0.1 %< 5 % < 5 % < 2.5 % < 0.5 % < 0.1 % < 0.1 %
< 10 % < 7 % < 3 % < 1 % < 0.5 % < 0.1 %< 10 % < 7 % < 3 % < 1 % < 0.5 % < 0.1 %
* = at TH 25 km
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Low bias error ( ε = - ) High bias error ( ε = + )
dzzωzωdzzεzωH
fc
H
f 00
)]()([)()(
26
Comparison results with the error estimationComparison results with the error estimation
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H
fcfcfc dzzωzωSSnSnS0
)]()([)0()0()()(
* exact
x approximation
* exact
x approximation
~ 70% ~ 40%
Triplet 600 nm
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H
fcfcfc dzzωzωSSnSnS0
)]()([)0()0()()(
* exact
x approximation
* exact
x approximation
Triplet 600 nm
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)(
)()(
,
,,/
refi
THiTHk
nCH λI
λIλI
ii
i
i
THnmTHnm
THnm
THnC
II
Iy
,625,523
,602
,
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ConclusionsConclusions
The combined Chappuis and Hartley band retrieval allows us to obtain the O3 profiles from the lower stratosphere to lower mesosphere.
The O3 retrievals are sensitive to clouds in the Chappuis bands, between 15 -25 km sensitive to cloud parameters τ, high cloud and viewing angles not much sensitive to cloud parameters: re.
The effect of neglecting clouds in the retrievals is less than 10 % at all altitudes for frequent clouds.
Linear approximation can not apply to estimate the O3 retrieval error from clouds.
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Future activitiesFuture activities
Test, how clouds sensitivity to ozone retrieval depends on SZA and SAA on TH references.
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THE END….THE END…. …… ……..Thank you..Thank you
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Retrieval AlgorithmRetrieval Algorithm
8
),()(),,(),(0
,,, iklik
H
fcikfcfc hλεdzznδzhλωhλyy
)],(),([)()()( ikfikcfcf hλyhλyznznzn
)],(),([)(
1
)(
)()( ikfikcf hλyhλy
znzn
znzε
)],(),([)()( ikcikccc hλyhλyznzn )],(),([)()( ikfikcff hλyhλyznzn
In linear approximation, limb radiance corresponding to the perturbed ozone profile can be written:
)()()( znznznδ
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Comparison results with the error estimationComparison results with the error estimation
Low bias error
Low bias error Low bias error Low bias error
High bias error High bias errorTH
dzzωzωdzzεzωH
fc
H
f 00
)]()([)()(
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Comparison results with the error estimationComparison results with the error estimation
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Low bias error
Low bias error Low bias error Low bias error
High bias error High bias errorTH
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Low bias error
Low bias error Low bias error Low bias error
High bias error High bias error
dzzωzωdzzεzωH
fc
H
f 00
)]()([)()(
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Sensitivity studiesSensitivity studies
Solar azimuth angle
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Cloud parameter: τ = 10, re = 10 m and cloud altitude 2-7 km.
a) viewing angles represent for SCIAMACHY
b) viewing angles represent for OSIRIS
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Low bias error High bias error
Low bias error Low bias error Low bias error
High bias error
dzzωzωdzzεzωH
fc
H
f 00
)]()([)()(
26
Comparison results with the error estimationComparison results with the error estimation