ATMOSPHERIC CHEMISTRY USING IASI/METOP : OVERVIEW OF INITIAL RESULTS

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ATMOSPHERIC CHEMISTRY USING IASI/METOP :
OVERVIEW OF INITIAL RESULTS
Cathy Clerbaux (1), Piet Coheur (2) and Thierry Phulpin (3)
(1)
Service d’Aéronomie /IPSL INSU/CNRS
(2)
Université Libre de Bruxelles
(3)
CNES
ITSC 16 ANGRO dos Reis
DCT/SI/IM
7-13 MAY 2008
OUTLINE
■Introduction
■IASI for atmospheric chemistry
■First results by SA-ULB
■Other products
■Future work for day-2
■Conclusion
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INTRODUCTION
■ Strong support of CNES to atmospheric chemistry for
Š Atmospheric composition and Climate
Š Ozone depletion monitoring
Š Development of applications and services
• Air Quality
• Hazards (fires, Volcanoes, etc.)‫‏‬
■ Through different actions
Š At ISSWG level
Š At national level :
• Subsidizing the laboratories
• Setting up R&D projects
• Internal activities
■ The actors in France :
Š Laboratories : SA, LPMAA, LMD, CNRM, LA, LISA
Š NOVELTIS
Š CNES
Š Ether national data centre for atmospheric chemistry
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IASI : A very good tool for atmospheric chemistry
■ Spectral range covering
absorption bands of GG
■ Adequate spectral resolution
for columns (to demonstrate
capabilities in the IR domain)‫‏‬
■ Adequate spatial sampling
■ Long time mission with
continuity of data
■ Very good absolute calibration
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Monitoring of atmospheric composition with IASI
at SA/ULB
The SA/ULB activities are organized along three main axes
Š Climate variables (T, H2O, CH4, N2O, CO2, CFCs)‫‏‬
Š Ozone hole chemistry (O3, HNO3)‫‏‬
Š Operational services (O3 pollution peaks, fires: CO + other molecules,
volcanoes: SO2, CO2, H2O)‫‏‬
SA-ULB developed two main methods of retrieval :
Š NN for operational .
Š 1d Var retrieval for research . (Zoom on areas) (a priori from Mozart)‫‏‬
Validation of Eumetsat L2 products not on purpose
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Operational trace gas retrieval from IASI (NN-SA)‫‏‬
O3
CH4
CO
A. Razavi
M. Pommier
(EGU, 2008)
(EGU, 2008)
+ Research products :
CO prof , O3 prof , H2O, HNO3, SO2, other
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Climate variables: CH4 total columns
Two spectral bands to retrieve CH4 (ν3, ν4)
Above 2500 cm-1 >> reflected solar radiation
4 days average,
combined bands
daytime
A. Razavi
(EGU, 2008)
Improvement of the sensitivity in the boundary layer
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Ozone chemistry
Validation
O3 total columns, South Pole
O3 total columns, Global scale
IASI
GOME-2
Courtesy A. Boynard
HNO3 total columns, North Pole
Stratospheric intrusion
20080106 – 20080110
SA/CNRS – ULB
May 25, 2007
45
-6
Tsurf = 288 K
Tskin = 284 K
40
retrieved
35
[O3] =399 DU
-1
Radiance (W / cm sr cm )
8x10
observed
4x10
-6
30
Altitude (km)
-6
2
6x10
best fit
2x10
-7
residual
0
980 1000 1020 1040 1060 1080
Wavenumber (cm )
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a priori
15
5
-7
-1
Courtesy C. Wespes
20
10
0
-2x10
25
0
1x10
12
2x10
12
3x10
Courtesy P. Coheur
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12
4x10
-2
[O3] (molecules cm )
12
IASI/METOP – Operational applications (GMES)
Pollution forecast
Ozone peaks
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Fire detection
Long-range pollution
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Volcanic plumes
Aviation threat
Ozone (O3) - pollution peaks,
South of Europe, 22-26 July 2007
Temp, ECMWF data
IASI data: Ozone 0-6 km
Concentration en ozoneCourtesy
fin juillet
2007
A. Boynard
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Carbon monoxide (CO) – Fires
Greece, 25-28 August 2007
CO
Courtesy D. Hurtmans, S. Turquety
NH3
CH3OH
C2H4
Courtesy P. Coheur
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Volcanic SO2
Sulfur dioxyde (SO2) – volcano plumes
Jebel at-Tair (Red sea), 1 October 2007
Note: Different profile information if entire
1100-1400 cm-1 interval or only 1100-1200
cm-1 is used. May be linked to problem with
H2O at 1300 cm-1 (see weird SO2 band
shape in the residual).
Similar columns in both cases
Credits : L. Clarisse,
P.F Coheur
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Results at Noveltis
■CO2 (See poster by L.Chaumat et al)‫‏‬
■Heterogenous scenes (see poster by T. Phulpin et al)‫‏‬
■Assimilation of CO (C. Clerbaux with the support of Noveltis)‫‏‬
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Assimilation of IASI CO column data in the LMDz-INCA
chemistry-transport model (1)‫‏‬
■ IASI level 2 CO column data provided by Service d’Aeronomie (SA).
The columns are obtained with the neural network approach.
■ The assimilation module is based on the Kalman filter and was
developed by JF Lamarque and B. Khatattov (NCAR, USA)‫‏‬
■ The module was adapted to work with IASI CO columns by
NOVELTIS in the framework of a study funded by the CNES’ TOSCA
program (PI of the project: Cathy Clerbaux, SA)‫‏‬
■ The figures shown are taken from the operational, near real-time
assimilations put in place by NOVELTIS
Š
Š
Š
Š
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starting date of the assimilation : 28/03/2008
starting model error: 50%
observation error: 1.E17 molec/cm2 over sea, 2.E17 molec/cm2 over land
model error growth: 0.005*CO for each assimilation window of 30
minutes
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Assimilation of IASI CO column data in the LMDzINCA chemistry-transport model
■ 09/03/2008, assimilation of
night observations only
observations-forecast
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change in model CO column
due to assimilation
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CO column, 07/04/2008
No assimilation
With assimilation
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Results at CNES
■CFCs
■Cloud mask
■Aerosols (Sand outbreak)‫‏‬
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Spectral signatures (2)
CFC and HNO3
Spectral signatures (1)
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06H
IASI L2 CO column*1e18, molecules/cm2
12H
12H
- High cloud cover over Russia where strong
apparent CO column
- High cloud cover over North Americawith low
CO column
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15 July 2007 (night)
Tb3 – TAvhrr 4
Cloud
cover (2) : Thresholds
Tb3 – TAvhrr 5
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March 3, PM
Courtesy P. Coheur
ΔBT
(K)= BT(•)-[BT(•)+BT(•)]/2
Brigthness
temperature difference (K)
Dust storm in Middle East, March 2008
Brigthness
temperature difference (K)
ΔBT
(K)= BT(•)-[BT(•)+BT(•)]/2
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IASI
MODIS, March 4
Future activities
■Validation to be continued
■Some problem to fix in fast inversion method (emissivity, large
scan angle)‫‏‬
■Compare with Eumetsat products
■Treatment of heterogenities (Cloud contaminated IFOVS)
■CH4, CFCs, CO2 and others
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Conclusions
■Intercomparison of products (including Eumetsat L2)‫‏‬
■Feedback on spectroscopy
■Improve product screening
■Incorporate information on heterogenity
■Work on combination with other sensors (AMSU for T- profile,
Gome 2)‫‏‬
■Assimilation
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More…
■ More information on
Š http://smsc.cnes.fr/IASI
Š http://www.eumetsat.int/
Thank you
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7-13 May 2008
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