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Institut für Umweltphysik/Fernerkundung Physik/ElektrotechnikFachbereich 1
Atmospheric Science Conference 2009
Long-Term Time Series of Water Vapour Total Columns from GOME,
SCIAMACHY and GOME-2S. Noël, S. Mieruch, H. Bovensmann, J. P. Burrows
Institute of Environmental Physics/Remote SensingUniversity of Bremen, Germany
Graphics: ESA Graphics: ESA Graphics: ESA
Institut für Umweltphysik/Fernerkundung Physik/ElektrotechnikFachbereich 1
Atmospheric Science Conference 2009
Importance of Water Vapour• Strongest natural greenhouse gas.• Significant contributions to atmospheric chemistry, weather and climate.• High spatial and temporal variability.• Global water vapour data especially required for global models.• Current sources for global water vapour data:
– In-situ measurements: Radio sondes, ground-based & airborne / balloon measurements.
– Space borne (N)IR and MW sensors (like TOVS, SSM/I, MODIS, MERIS).– GPS observations.
• Especially only limited information in polar regions (small columns, ice).• Additional data source: GOME, SCIAMACHY & GOME-2 nadir
measurements in the visible spectral region (~700 nm) derived with AMC-DOAS (Air Mass Corrected DOAS).
Institut für Umweltphysik/Fernerkundung Physik/ElektrotechnikFachbereich 1
Atmospheric Science Conference 2009
The GOME-type InstrumentsGOME SCIAMACHY GOME-2
Launch date 21 Apr 1995 1 Mar 2002
ENVISAT
sun-synchronous10:00 LT @ equator
typically 60 km x 30 km(depending on orbital position and wavelength)
960 km
Spectral range ca. 240 – 790 nm ca. 220 – 2380 nm ca. 240 – 790 nm
Measurement geometry
Nadir Nadir, Limb, Occultation Nadir
Data distribution(Level 1)
June 1995 – now(since June 2003 reduced coverage)
August 2002 – now March 2007 – now
Expected mission duration
until at least 2011 until at least 2013 with MetOp series until at least 2020
19 Oct 2006
Platform ERS-2 MetOp
Orbit sun-synchronous10:30 LT @ equator
sun-synchronous09:30 LT @ equator
Spatial resolution 320 km x 40 km 80 km x 40 km
Swath 960 km 1920 km
Graphics: ESA Graphics: ESA Graphics: ESA
Institut für Umweltphysik/Fernerkundung Physik/ElektrotechnikFachbereich 1
Atmospheric Science Conference 2009
Characteristics of the AMC-DOAS Products• Limitations:
- Only measurements on the dayside can be used- No total column data for too cloudy scenes
(removed by AMF correction factor check)- Limited spatial and temporal resolution- Currently no data for high mountain areas
(masked out by quality check; can be avoided by use of external surface elevation data base)
• Advantages:- Retrievals possible over land and ocean
(with same algorithm)- No external calibration sources required
Completely independent data set!
Institut für Umweltphysik/Fernerkundung Physik/ElektrotechnikFachbereich 1
Atmospheric Science Conference 2009
Quality of AMC-DOASWater Vapour Products
• Main results of validation:– Good general agreement– Large scatter (~0.5 g/cm2) due to spatial/temporal variability
• Precision estimate:– 3-5% for columns > 0.6 g/cm2
– Lower columns: up to 10%– Absolute precision always better than 0.2 g/cm2
• Accuracy estimate:– Difficult to determine because of large variability of water vapour– Systematic deviations to e.g. ECMWF and SSM/I data ~ 0.1 – 0.3 g/cm2
– SCIAMACHY data typically lower (cloud free bias?)
Institut für Umweltphysik/Fernerkundung Physik/ElektrotechnikFachbereich 1
Atmospheric Science Conference 2009
Combining GOME & SCIAMACHY Data• GOME and
SCIAMACHY instruments are very similar
• GOME measures (only) ~30 min after SCIAMACHY at same geolocation
• SCIAMACHY and GOME measurements have different spatial resolution
• How good do the data match in the overlap time interval?
Institut für Umweltphysik/Fernerkundung Physik/ElektrotechnikFachbereich 1
Atmospheric Science Conference 2009
GOME vs. SCIAMACHY: Example 27 Jan 2003
• Very good correlation• Scatter of data
somewhat smaller than e.g. in comparisonSCIAMACHY - SSM/I
Overall good agreement within the “usual” scatter
GOME & SCIAMACHY AMC-DOAS data V1.0 (spatially gridded to 0.5° x 0.5°)
Institut für Umweltphysik/Fernerkundung Physik/ElektrotechnikFachbereich 1
Atmospheric Science Conference 2009
GOME vs. SCIAMACHY: Long-Term Comparison
• Time interval: Aug 2002 – Dec 2003
• Very good agreement especially for 2003 data
• On average no offset, but some scatter
• Notes:– Reduced GOME
coverage after June 2003
– No actual solar reference spectrum for SCIAMACHY data in 2002
GOME & SCIAMACHY AMC-DOAS data V1.0 (spatially gridded to 0.5° x 0.5°)
Institut für Umweltphysik/Fernerkundung Physik/ElektrotechnikFachbereich 1
Atmospheric Science Conference 2009
GOME-2 Results• MetOp was
launched in October 2006; Level 1 data distribution since March 2007
• AMC-DOAS retrieval method could be easily adapted to GOME-2 (only spectral resolution of RTM data base had to be adapted to slit function)
• Regular retrieval running at IUP Bremen
• Enhanced daily coverage of GOME-2 at similar spatial resolution as SCIAMACHY
Institut für Umweltphysik/Fernerkundung Physik/ElektrotechnikFachbereich 1
Atmospheric Science Conference 2009
GOME-2 vs. SCIAMACHY (1)• Scatter plot shows
good agreement between GOME-2 and SCIAMACHY data
• Results confirmed by statistical analysis based on larger data set
Noël et al., ACP, 2008
Institut für Umweltphysik/Fernerkundung Physik/ElektrotechnikFachbereich 1
Atmospheric Science Conference 2009
GOME-2 vs. SCIAMACHY (2)
• Avg. deviation small
• Small sinusoidal variation (period ~ 9 days; amplitude ~ 6%, some seasonal change)
• Related to the relative position of orbits.
• Possible reason: Scan angle dependencies.
GOME-2 & SCIAMACHY AMC-DOAS data V1.0 (spatially gridded to 0.5° x 0.5°)
Institut für Umweltphysik/Fernerkundung Physik/ElektrotechnikFachbereich 1
Atmospheric Science Conference 2009
The Combined GOME & SCIAMACHY Water Vapour Data Set 1996-2008
GOME:1996 – 2002
SCIAMACHY:2003 – 2008
Time series to be continued with SCIAMACHY and GOME-2 until 2020.
Annual Means Monthly Means
Institut für Umweltphysik/Fernerkundung Physik/ElektrotechnikFachbereich 1
Atmospheric Science Conference 2009
Example Application: Trend analysis• The combined
GOME-SCIAMACHY data set has been used to determine global water vapour changes
• Several regions with significant positive and negative changes over 12 years could be detected
• See poster by Mieruch et al.
Figure and data by S. Mieruch; see also Mieruch et al., ACP, 2008
Institut für Umweltphysik/Fernerkundung Physik/ElektrotechnikFachbereich 1
Atmospheric Science Conference 2009
Conclusions• The AMC-DOAS retrieval method has been successfully
applied to GOME, SCIAMACHY and GOME-2 measurements.
• The resulting AMC-DOAS H2O columns agree well with correlative data and each other.
Potential to extend AMC-DOAS data set until 2020 with GOME-2.
GOME-type instruments can provide a new independentglobal water vapour data set suitable for climatological studies.
• All data are available on request, details on AMC-DOAS web site (http://www.iup.uni-bremen.de/amcdoas/).
Institut für Umweltphysik/Fernerkundung Physik/ElektrotechnikFachbereich 1
Atmospheric Science Conference 2009
Acknowledgements• GOME &
SCIAMACHY data have been provided by ESA.
• GOME-2 data have been provided by EUMETSAT.
• This work has been funded by DLR-Bonn and by the University of Bremen.
Thank you for
your attention!
Institut für Umweltphysik/Fernerkundung Physik/ElektrotechnikFachbereich 1
Atmospheric Science Conference 2009
Backup Slides
Institut für Umweltphysik/Fernerkundung Physik/ElektrotechnikFachbereich 1
Atmospheric Science Conference 2009
Air Mass Corrected DOAS (AMC-DOAS)• Similar to standard DOAS:
– Does not rely on absolute radiometric calibration– Uses differential structures to derive trace gas column
• Main differences:– Considers saturation effect for water vapour (non-resolved lines):
Non-linear relation between absorption depth and absorber amount
– Air mass factor (AMF) correction (from O2 absorption):Considers uncertainties in radiative transfer calculation caused by insufficient knowledge of atmospheric conditions (esp. cloudiness)
Retrieval also possible for partly cloudy pixels
– AMF correction also used as quality check
DOAS = Differential Optical Absorption Spectroscopy
Institut für Umweltphysik/Fernerkundung Physik/ElektrotechnikFachbereich 1
Atmospheric Science Conference 2009
Fitting Window
• 688 to 700 nm• Absorptions of both water vapour
and O2 of same magnitude (required for air mass correction)
• Further advantage:„Harmless“ region w.r.t. calibration of GOME, SCIAMACHY & GOME-2
very stable0
0.01
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600 700 800
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Wavelength, nm
GOME Channel 4
O2
O2
H2O
H2OH2O
O2
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