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Preliminary remark Thermal infrared Shortwave infrared IASI - FORLI MOPITT V5 MOPITT V6 uses TIR and SWIR channels Thermal infrared Shortwave infrared
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1. Radiative transfer in the thermal infrared and the surface source term
2. How is emissivity taken into account in the trace gas retrieval algorithms Example of IASI retrieval algorithm (FORLI)
3. Spectral emissivity in the CO retrieval spectral rangeExample of Zhou et al. climatology (from IASI on IASI sampling)
4. Impact of emissivity on the CO retrievals –preliminary results-
Session 2 - Impact of thermal infrared surface emissivity uncertainty on trace gas retrieval
Introduction
Preliminary remark
Thermal infrared
IASI - FORLIMOPITT V5
Shortwave infrared
MOPITT V6 uses TIR and SWIR channels
0
( ; , , )( ; , ) ( ; ,0) ( ; , 0, ) ( , , )z t z zL z L t z J z dz
z
Ω
The general equation
Radiance at the end of the light path
radiance from the medium weighted by absorption through upper layers
Initial radiance transmitted through the entire path
Radiance at the beginning of the light path
Total transmittance over the light path
source termfrom the medium (thermal emission, scattering…)
Weighting function
( ; ,0)L
( ; , )L z
0 z
1. Radiative transfer in the thermal infrared and the surface source term
Nadir
( )sB T ( )zB T
surface temperature(288 K on global average)
Air temperature(255 K on average for
the troposphere)
In the nadir THERMAL infrared, both term are equally important and cannot be neglected
0
( ; , , )( ; , ) ( ; ,0) ( ; , 0, ) ( , , )z t z zL z L t z J z dz
z
Ω
1. Radiative transfer in the thermal infrared and the surface source term
zTOA
TOA
0
TOAL
0
( , )( )
z t z zJ z dz
z
0L
0
0 ( , )(0, ) ( )
zTOATOA
t z zL L t z J z dz
z
Nadir thermal infrared – more details –
0 0( ) (1 ) SunsB TL L L
Reflected solar radiation (negligible below ~2200 cm-1)
Reflected downward atmospheric radiation
Grey-body surface emission
= surface spectral emissivity = effective reflectivity
0L
0L
SunL
Looking at 180° (no angle)
surface source term?
1. Radiative transfer in the thermal infrared and the surface source term
IASI radiances (W / cm2 sr cm-1)
Surface thermal emission
Reflected downward radiance from atmosphere
Reflected solar radiance
Becomes significant above 2200 cm-1 (daytime)
Becomes significant when < 0.95
Dominant term =Emissivity × Blackbody
0
0 ( , )(0, ) ( )
zTOATOA
t z zL L t z J z dz
z
Surface source term
Total atmospheric transmittance Atmospheric source term
(emission + scattering)Transmittance from z’ to z
0 0( ) (1 ) SunsB TL L L
1. Radiative transfer in the thermal infrared and the surface source termConcretely
IASI radiances (W / cm2 sr cm-1)
0
0 ( , )(0, ) ( )
zTOATOA
t z zL L t z J z dz
z
Surface source term
Total atmospheric transmittance Atmospheric source term
(emission + scattering)Transmittance from z’ to z
Tskin if =1
0 0( ) (1 ) SunsB TL L L
1. Radiative transfer in the thermal infrared and the surface source term
>> Brightness -equivalent blackbody- temperature (K)
Concretely
IASI radiances (W / cm2 sr cm-1)
0
0 ( , )(0, ) ( )
zTOATOA
t z zL L t z J z dz
z
Surface source term
Total atmospheric transmittance Atmospheric source term
(emission + scattering)Transmittance from z’ to z
!!! Emissivity !!!
Sand emissivity from Zhou et al. climatology
1. Radiative transfer in the thermal infrared and the surface source term
>> Equivalent blackbody (brightness) temperature
Concretely
Spectral emissivity modifies the surface source term in two ways: • it decreases the surface thermal radiance which would otherwise be
described by pure a blackbody function• It allows for the reflection of the downwelling atmospheric radiation
While the emissivity is pretty close to unity and relatively constant over the entire infrared spectral range for some surfaces (oceans), see, it can be characterized by sharp spectral variations for several land surfaces, especially between 1000 and 1200 cm-1 and above 2100 cm-1
2. How is emissivity taken into account in the retrieval algorithms ?Concretely
Wavenumber-dependence of TIR land emissivity
• Planck blackbody function at the temperature Ts with a spectral emissivity .
• The skin temperature is retrieved together with the CO profile, using the same spectral fitting window.
• For continental surfaces the spectral emissivity relies on the climatology of [Zhou et al. 2011]. In cases of missing values in the Zhou et al. climatology, the MODIS climatology of Wan [2008] is used.
• A constant sea surface emissivity (possibly varying with wind speed) is used
The third term, accounts for the reflected solar radiance in the direction of the sounding beam. It is calculated using a • Planck blackbody function at 5700 K,
without including spectral lines,• a reflective surface combining
Lambertian and specular reflections.
0 0( ) (1 ) SunsB TL L L
Reflected solar radiation (negligible below ~2200 cm-1)
Reflected downward atmospheric radiation
Grey-body surface emission
= surface spectral emissivity = effective reflectivity
calculation of the mean radiance associated to the total downward flux reaching the surface, integrated upon all the geometries. This is done • considering a
Lambertian surface.
Example for IASI (FORLIv20100815)
2. How is emissivity taken into account in the retrieval algorithms ?
Monthly global variability of emissivity at 2150cm-1
Zhou et al. climatology
3. Spectral emissivity in the CO retrieval spectral range
Jan Feb March
Apr May June
July Aug Sept
Oct Nov Dec
spatial and temporal variability of TIR land emissivity
variability of emissivity between 1800 and 2760 cm-1 above given surfaces
CO retrieval spectral range for IASI FORLI2143-2181.25 cm-1
Sahara
Greenland
Western US
Europe
Figures M. Van Damme
Zhou et al. climatology
3. Spectral emissivity in the CO retrieval spectral range
Dashed lines: min and max Plain line: mean Shadow: standard deviationspatial and temporal
variability of TIR land emissivity
Wavenumber-dependence of TIR land emissivity
variability of emissivity between 1800 and 2760 cm-1 above given surfaces
CO retrieval spectral range: 2143-2181.25 cm-1
Sahara
Greenland
Western US
Europe
Figures M. Van Damme
Zhou et al. climatology
3. Spectral emissivity in the CO retrieval spectral range
First FORLI version with MODIS emissivity database (12 channels only in the thermal IR)
FORLI version v20100815 with first Zhou et al. emissivity database (all IASI channels but monthly averages.
Figure by Maya George
4. What is the impact of emissivity on the IASI CO retrievals? –preliminary results-
JUNE 2008IASI morning overpass
CO total column (molec/cm²) Retrieval error (%)
RMS (W/(cm2.sr.cm-1)) Residual bias (W/(cm2.sr.cm-1))
o Larger RMS and biases above hot surfaces, including deserts
o Impact on total retrieval error is, however, limited
4. What is the impact of emissivity on the IASI CO retrievals? –preliminary results–
Figures M. Van Damme
JUNE 2008IASI evening overpass
CO total column (molec/cm²) Retrieval error (%)
RMS (W/(cm2.sr.cm-1)) Residual bias (W/(cm2.sr.cm-1))
o Larger RMS and biases above hot surfaces, including deserts
o Impact on total retrieval error is, however, limited
o Diurnal variability of ?
4. What is the impact of emissivity on the IASI CO retrievals? –preliminary results–
Figures M. Van Damme
JUN
E 20
08IA
SI m
orni
ng o
verp
ass
Tota
l ret
rieva
l err
ors
RMS
(W /
cm2 s
r cm
-1)
Bias
(W /
cm2 s
r cm
-1)
JUN
E 20
08IA
SI e
veni
ng o
verp
ass
emissivity emissivity emissivity
emissivity emissivity emissivity
o Some correlations between decreasing emissivity and larger errors/biases/RMSo Some (but weak) differences in correlation patterns day and nighto Other impacts still to be verified (temperature vs. emissivty?)
Figures M. Van Damme
4. What is the impact of emissivity on the IASI CO retrievals? –preliminary results–