current status and future perspectives of...
TRANSCRIPT
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
Current status and future perspectives of atmospherictrace gas observations from space
Thomas Wagner
Institut für Umweltphysik, University of Heidelberg
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Outline
• Method: DOAS for satellite instruments
• UV/vis/NIR satellite instruments
• What can we expect – what not?
• Results from the last 8 years (GOME, SCIA)
• Future Satellite instruments (until 2020)
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
When it all started....⇒ History
Joseph von Fraunhofer (1787-1826)
„I found very many strong and weak vertical lines, which are darker than the remaining part of the spectrum. Some of them are almost dark“
Solar spectrum, painted byJoseph von Fraunhofer (1814)
Further Milestones:
• first big achromatic objectives for long-glasses
• first use of refractive gratings, first absolute Wavelength determination
• Determination of the position of 234 of the > 500 lines he had doscovered
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Method DOAS: ’Differential Optical Absorption Spectroscopy’
A) Lambert-Beer Law: ( )I I c l= ⋅ − ⋅ ⋅0 exp σ
B) Spectra, High pass filtering
480 500 520Wavelength [nm]
0
1
2
3
σ [10 -21 cm
-2 ]
-0.2
0.0
0.2
σ ' [10
-21 cm
-2 ]
σ
σc
σ'• High Sensitivity (OD≤0.001)• Io not known• Several absorbers• Separation between scattering
and absorption
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
1960 1970 1980 1990 2000
Sputnik
Satellites
Weather Satellites
Ozone(BUV)
Ozone(TOMS)
Ozone++(spectra)
UV/vis satellite history
Explorer
TIROS NIMBUS-4
NIMBUS-7
NOAA-9
NOAA-11 NOAA-14
Space shuttle
METEOR-3 Earth-probe
ADEOS
GOME SCIAMACHY
NIMBUS-7
⇒ Instruments
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Instrument GOME/SCIAMACHY-Spectral regions
Spectral resolution:
0.2 – 1.5 nm
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Data analysis
Spectral Analysis (DOAS)
spectrum
Trace gas cross sections
SCD
Radiative transfer modelling ‚AMF‘
Profile informtion
VCDStrat.-Trop. Separation Reference sector method
VCDtropindep-. Meas., ModelsProfile information
concentration
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
1E+08
1E+10
1E+12
1E+14
1E+16
200 300 400 500 600 700 80Wavelength [nm]
Inte
nsity
[arb
itrar
y un
its
O3 UV
O3 vis
HCHO
OClO
O4
O2
H2O
SO2 NO2 BrO
Satellite group: http://giger.iup.uni-heidelberg.de/
Set of Atmospheric Abosrbers Identified in GOME Spectra at the Satellite Group at the Institut für Umweltphysik
Atmospheric trace gas absorptions detected in Satellite spectra
⇒ Data analysis
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Data analysisAMF: measure of sensitivity
20 30 40 50 60 70 80 90SZA [°]
0
4
8
12
AMF
albedo 0.8
albedo 0.0
stratospheric AMF
tropospheric AMF
geometric AMF
AMF for Stratosphere and Troposphere from radiative transport modelling
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
Global Mean tropospheric NO2 VCD⇒ Results
Steffen Beirle, IUP Heidelberg
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Results
What can we not expect from UV/vis satellite observations?
- high spatial resolution (>15 x 30km²)
- high sampling rate for a given location (SCIA: every 6 days)
- high sensitivity for species close to the ground
- good vertical resolution in the troposphere
- high accuracy for tropospheric species
What can we expect from UV/vis satellite observations?
- (Nearly) global coverage [excluding (polar) night]
=> spatial and temporal variability
- Stability of instruments
- Observations in remore regions
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Results
What can you expect from the rest of the talk?
……Examples of:
- Discoveries
- Identification, characterization and quantification of sources
- Estimation of atmospheric lifetimes
- Identification of long range transport, comparison to models
- Trends
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Discoveries
Bromine explosion:
GOME tropospheric BrO during polar spring in both hemispheres
=> Natural phenomenon
September, 20-28, 1997
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Discoveries
Dependence of tropospheric BrO on latitude and time
1 2 3 4 [1013 molec/cm²]
40
45
50
55
60
65
70
75
80
85La
titud
e [d
egre
e]
SZA > 87
Dec January February March April May June
Arctic
=> Relationship between bromine explosion and one year old sea ice
1 2 3 4 [1013 molec/cm²]
40
45
50
55
60
65
70
75
80
85
Latitud
e [deg
ree]
SZA > 87
Average Extension of Sea Ice
Jun July August September October November Dec
Antarctic
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
Comparison with observations from other platforms => Potential tropospheric BrO background
⇒ Discoveries
0E+0
2E+13
4E+13
6E+13
8E+13
VCD
BrO
[mol
ec/c
m]
balloon
ground
GOME
Kiru
na,
14.0
2.19
97
Kiru
na,
10.0
2.19
99
Leon
,23
.11.
1996
SAOZ
DOAScl
ear s
ky
clea
r sky
BrO profile?
Balloon data: I. Pundt, H. Harder
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
Activation on Mountain Lee Waves⇒ Discoveries
Sven Kühl, IUP Heidelberg
Almost complete activation over an altitude range of about 10 km
20.01.1997 21.01.1997 22.01.1997
On the 21st of January, a sudden increase of the OClO SCDs is seen over northern Scandinavia, the same region where strong activity of mountain waves has been reported for the same day (Dörnbrack et al., 1999).
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Discoveries
Mesoscale temperatures from MM5 analysis
(Andreas Dörnbrack)
Blue indicates strong cooling
475 K
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Results
What can you expect from the rest of the talk?
Examples of:
- Discoveries
- Identification, characterization and quantification of sources
- Estimation of atmospheric lifetimes
- Identification of long range transport, comparison to models
- Trends
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Sources CO VCD from SCIA, February 2004Christian Frankenberg, IUP Heidelberg
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
CH4 VCD (scaled by CO2 VCD) from SCIA, Christian Frankenberg, IUP Heidelberg
⇒ Sources
May 2004
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
Global Maps reflect distribution of sources⇒ Sources
Jun –Sep 1997HCHO SCD (T. Marbach, IUP Heidelberg) SO2 SCD (M.F. Khokhar, IUP Heidelberg)
Dec 1996
BrO VCD (J. Hollwedel, IUP Heidelberg) H2O VCD (T. Wagner, IUP Heidelberg)
Jan – Feb1996 &1999
1996 - 2001
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Sources Comparison of different trace gases
SO2 NO2
Industry
(Highveld,S-Africa)
Volcaneos
(M.F. Khokhar, S. Beirle, IUP-Heidelberg)
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Sources Comparison of different trace gases
HCHO NO2
=> biogenic emissions => anthropogenic emissions
(T. Marbach, S. Beirle, IUP-Heidelberg)
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Sources Humidity follows the surface temperatures
Average H2O VCD, Jan & Feb Strong El-Nino (1998)
[molec/cm²]
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Sources Humidity follows the surface temperatures
Average H2O VCD, Jan & Feb ‚normal years‘ (1996, 1997, 2000, 2001)
[molec/cm²]
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Sources Comparison of different data sets
GPCP mean precipitationGOME H2O VCD
El-Nino conditions Jan-Feb 1998
‚Normal conditions‘ Jan-Feb 1996 & 1999
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
1.0E+23
1.5E+23
2.0E+23
Jan. 96 Dez. 96 Jan. 98 Jan. 99 Jan. 00 Jan. 01 Jan. 02 Jan. 03 Jan. 04
1.0E+23
1.5E+23
2.0E+23
Jan. 96 Dez. 96 Jan. 98 Jan. 99 Jan. 00 Jan. 01 Jan. 02 Jan. 03 Jan. 04
El Nino
1.0E+23
1.5E+23
2.0E+23
Jan. 96 Dez. 96 Jan. 98 Jan. 99 Jan. 00 Jan. 01 Jan. 02 Jan. 03 Jan. 04
1.0E+23
1.5E+23
2.0E+23
Jan. 96 Dez. 96 Jan. 98 Jan. 99 Jan. 00 Jan. 01 Jan. 02 Jan. 03 Jan. 04
El-Nino,
Temporal pattern
+
–
El-Nino –Normal years
⇒ Sources
Sea surface temperature anomaly
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
ATSRATSRFire counts⇒ Sources Fire counts
Strong biomass burning in Indonesia duringSeptember 1997
(El Nino 1997/1998)
GOME HCHO GOME SO2 GOME NO2
S. Beirle,IUP Heidelberg
M. F. Khokhar,IUP Heidelberg
T. Marbach,IUP Heidelberg
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Sources Anthropogenic sources: weekly cycle of NO2
Beirle et al., Weekly cycle of NO2 by GOME measurements, ACP 3, 2225-2232, 2003
US
Eas
tcoa
st
Eur
ope
1015molec/cm2
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ SourcesWeekly Cycle of tropospheric NO2
rel.
units
(Steffen Beirle, IUP-Heidelberg)
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Sources NOx from ships
Estimated NOx
emissions (Endresen et al.)
GOME NO2 VCD
(Meridional high-pass filter applied)
1013molec/cm2Beirle et al., Estimate of NOx emissions from shipping, submitted to GRL, 2004
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Lifetime Anthropogenic sources: NOx from ships
Beirle et al., Estimate of NOx emissions from shipping, submitted to GRL, 2004
Lifetime estimation:
3.7 hoursShip emissions (Gg [N]/yr):
26 (11-81)
With fixed lifetime:
26 (17-42)
EDGAR: 34
Endresen: 41-54
Corbett: 22/44
Winter: ITCZ south, Summer: ITCZ north
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Results
What can you expect from the rest of the talk?
Examples of:
- Discoveries
- Identification, characterization and quantification of sources
- Estimation of atmospheric lifetimes
- Identification of long range transport, comparison to models
- Trends
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Transport Comparison GOME - Models
Intercontinental transport of anthropogeneous NO2 measured by GOME and modeled by FLEXPART [Stohl et al., 2003]
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
Difference: NAO+ - NAO-
(1996-2002)⇒ Transport
Model results from FLEXPART GOME tropospospheric NO2
Influence of the North Atlantic Oscillation on the tropospheric transport paths [Eckhardt et al., 2003]
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
Change of global circulation due to El-Nino⇒ TransportRelative deviation of the GOME H2O VCD from the long year mean
October 1997 – March 1998
humidity
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
Change of global circulation due to El-Nino⇒ TransportRelative deviation of the cloud shielding (from O2 absorption) from the long year mean
October 1997 – March 1998
clouds
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Results
What can you expect from the rest of the talk?
Examples of:
- Discoveries
- Identification, characterization and quantification of sources
- Estimation of atmospheric lifetimes
- Identification of long range transport, comparison to models
- Trends
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Trends
Monthly meanareas with enhanced BrO VCD
Systematic Increase from 1996 to 2001J. Hollwedel, IUP-Heidelberg
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
DOAS H2O analysis⇒ Trends
610 630 650 670
Wavelength [nm]
-0.03
-0.01
-0.10
-0.05
0.00
-0.10
-0.05
0.00
Opt
ical
den
sity
-0.01
0.00
0.01
GOME, 04.12.1996, 08:30 UT SZA: 33°, Lat: 5°, Long 31°
O4
O2
H2O
residual
29.6
30.0
30.4 Raw Spectrum
-0.06
-0.04Ring
Instrument stability from Fraunhofer lines
H2O Trends
Trends in cloud cover from O2 and O4 absorptions
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Trends
Temporal evolution of the H2O VCD over Germany
0.0E+00
2.0E+22
4.0E+22
6.0E+22
8.0E+22
1.0E+23
1.2E+23
Jan. 96 Jan. 97 Jan. 98 Jan. 99 Jan. 00 Jan. 01 Jan. 02 Jan. 03 Jan. 04
H2O over GermanyWinter: -14.6%Spring: -4.2%Summer: +12.6%Autumn: +4.8%
Winter: strong decrease (-15%) Summer: strong increase (+13%)
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
Linear trends in H2O and clouds over 8 years as function of latitude (different seasons)
⇒ Trends
-2.0% 0.0% 2.0% 4.0% 6.0% 8.0%
80°N - 55°N
55°N - 35°N
35°N - 10°N
10°N - 10°S
10°S - 35°S
35°S - 55°S
55°S - 80°S
WinterSpringSummerAutumn
Relative change in H2O (mostly clear sky)
0.0% 2.0% 4.0% 6.0% 8.0%
80°N - 55°N
55°N - 35°N
35°N - 10°N
10°N - 10°S
10°S - 35°S
35°S - 55°S
55°S - 80°S
WinterSpringSummerAutumn
Relative change in cloud shielding
Strongest H2O increase: Northern hemisphere: SpringSouthern hemisphere: Autumn
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Future
• Full exploitation of existing data (using e.g. detailed cloud information)
(> 8 years of GOME, > years of SCIA data!!!!)
• Additional species
• Combination of results from different sensors (UV/vis, IR, MW, etc.)
• Detailed comparison with model results, data assimilation
• Scheduled missions and instruments
• Higher spatial and temporal resolution, better sampling rate
=> which resolution do we need?
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Future
• Many ground pixels are (at least partly) covered with clouds• Clouds are typically much brighter than the cloud free scenes (except over ice and snow)
=> Clouds cause largest uncertainties for tropospheric species!
Two dominant effects of clouds:A) Shielding effect for trace gases below cloudsB) Albedo effect for trace gases above clouds(nearly no cloud effect for stratospheric trace gases)
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Future
Possible Cloud correction Scheeme:
Cloud properties
Model(As much as possible)Measurements
-O2 & O4
-intensity (spectral channels & PMD)
-Ring effect
-polarisation
-additionalquantities
-Monte Carlo
-multiplescattering
-full spherical geometry
-Cloud fraction
-Cloud top height
-ground albedo
-optical depth?
-3D-structure?
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Future
• Full exploitation of existing data (using e.g. detailed cloud information)
(> 8 years of GOME, > years of SCIA data!!!!)
• Additional species
• Combination of results from different sensors (UV/vis, IR, MW, etc.)
• Detailed comparison with model results, data assimilation
• Scheduled missions and instruments
• Higher spatial and temporal resolution, better sampling rate
=> which resolution do we need?
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Future Glyoxal as indicatotor of VOC degradation
Glyoxal cross section in the blue spectral range!
Volkamer et al., 2004
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Future
• Full exploitation of existing data (using e.g. detailed cloud information)
(> 8 years of GOME, > years of SCIA data!!!!)
• Additional species
• Combination of results from different sensors (UV/vis, IR, MW, etc.)
• Detailed comparison with model results, data assimilation
• Scheduled missions and instruments
• Higher spatial and temporal resolution, better sampling rate
=> which resolution do we need?
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
Combination of GOME H2O VCD with H2O profiles from TOVS
⇒ Future
Sensitivity of TOVS H2O observation for different IR wavelengths
Soden and Bretherton, 1996
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Future
• Full exploitation of existing data (using e.g. detailed cloud information)
(> 8 years of GOME, > years of SCIA data!!!!)
• Additional species
• Combination of results from different sensors (UV/vis, IR, MW, etc.)
• Detailed comparison with model results, data assimilation
• Scheduled missions and instruments
• Higher spatial and temporal resolution, better sampling rate
=> which resolution do we need?
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Future
• Full exploitation of existing data (using e.g. detailed cloud information)
(> 8 years of GOME, > years of SCIA data!!!!)
• Additional species
• Combination of results from different sensors (UV/vis, IR, MW, etc.)
• Detailed comparison with model results, data assimilation
• Scheduled missions and instruments
• Higher spatial and temporal resolution, better sampling rate
=> which resolution do we need?
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
1960 1970 1980 1990 2000
Sputnik
Satellites
Weather Satellites
Ozone(BUV)
Ozone(TOMS)
Ozone++(spectra)
UV/vis satellite history
Explorer
TIROS NIMBUS-4
NIMBUS-7
NOAA-9
NOAA-11 NOAA-14
Space shuttle
METEOR-3 Earth-probe
ADEOS
GOME SCIAMACHY
NIMBUS-7
GOME-2 ...
2010
SCIA OMI
⇒ Future
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Future Spatial resolution and sampling rate
40 x 320 km2GOME
SCIA
OMI
40 x 80 km2
30 x 60 (15) km2
13 x 24 (13) km2
Sampling rate:
GOME: ≥ every 3 days
SCIA: ≥ every 6 days
OMI: ≥ every day
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ Future
• Full exploitation of existing data (using e.g. detailed cloud information)
(> 8 years of GOME, > years of SCIA data!!!!)
• Additional species
• Combination of results from different sensors (UV/vis, IR, MW, etc.)
• Detailed comparison with model results, data assimilation
• Scheduled missions and instruments
• Higher spatial and temporal resolution, better sampling rate
=> which resolution do we need?
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ influence of spat. resolutionStandard Mode (320x40km²): GOME trop. NO2 (1996-2001)
Narrow Mode (80x40km²): GOME trop. NO2 (1996-2001)
*1015
molec/cm2
(Steffen Beirle,
IUP-Heidelberg)
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
Tropospheric NO2 VCD from GOME narrow mode, Steffen Beirle
⇒ influence of spat. resolution
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
Tropospheric NO2 VCD from GOME normal mode, Steffen Beirle
⇒ influence of spat. resolution
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
⇒ influence of spat. resolution
SCIAMACHY tropospheric NO2 VCD
SCIAMACHY August 2003
Steffen Beirle, IUP Heidelberg
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
Conclusions
I hope I could show you that:
• trace gas observations provide a new & exciting viewon atmospheric chemistry and physics
• there are many important applications in future research, especially for the investigation of chemistry/climate relationships
......and finally....
Mainz 1.7.2004 [email protected] http//:satellite.iup.uni-heidelberg.de
Thanks to the satellite group Heidelberg!