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2013_wien_egu

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Max R

on 7 March 2014

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Transcript of 2013_wien_egu

A Decade of Global Carbon
Dioxide Observations from the Satellite Instrument SCIAMACHY
2002
2012
?
2019 (?)
OCO-2
2014
2009
SCIAMACHY
GOSAT
?
SCIAMACHY was the first NIR CO2 instrument in orbit
During 7 years it was the only NIR CO2 instrument in orbit
SCIAMACHY is essential to start a consistent long term time series
Still many open questions about the terrestrial carbon cycle
Thanks
M. Reuter¹, O. Schneising¹, F. Chevallier²,
J. Heymann¹, M. Hilker¹, M. Buchwitz¹,
H. Bovensmann¹, J.P. Burrows¹,
and TCCON partners
Two SCIAMACHY CO2
retrieval algorithms
WFMD
BESD
More retrieval details in the GHG-CCI ATBDs at http://www.esa-ghg-cci.org/
Focus on
speed
and
data volume
Tabulated RT
Least squares fitting
Publications:
Schneising et al., 2011 (ACP)
Schneising et al., 2012 (ACP)
Focus on
accuracy
and
precision
Online RT
Optimal estimation
Publications:
Reuter et al., 2010 (AMT)
Reuter et al., 2011 (JGR)
Validation with TCCON
Single measurement precision:
3.90ppm

Station-to-station biases:
1.30ppm
(0.65ppm rel. to CarbonTracker)
Validation with TCCON
Single measurement precision:
2.23ppm

Station-to-station biases:
0.66ppm

Station-to-station biases below 0.4ppm when rejecting stations with less than 500 co-locations
WFMD: Seasonal cycle and growth rate
Seasonal cycle: similar phase, 20% larger amplitude
Growth rate: same as CT (multi-year average)
WFMD: Anthropogenic source regions
Enhanced concentrations observable in anthropogenic source regions

Signal stable over the years
Positive trend in China

Trends consistent with EDGAR emissions
BESD: A decade of global CO2 retrievals
Expected global distributions can be observed, e.g., strong seasonal cycle at the NH and the year-to-year increase
Only large scale features visible after smoothing with 10°x10°x2months
Comparison with models:
Before NH growing season
Reasonable agreement in large scale features (e.g., N/S gradient)
Larger differences of a few ppm at smaller scales
Differences satellite vs. model are similar to model vs. model
NOAA CarbonTracker 2011
MPI BGC Jena ANA96 v3.4
LSCE MACC (flask)
Comparison with models:
During NH growing season
NOAA CarbonTracker 2011
MPI BGC Jena ANA96 v3.4
LSCE MACC (flask)
Reasonable agreement in large scale features (e.g., N/S gradient)
Larger differences of a few ppm at smaller scales
Differences satellite vs. model are similar to model vs. model
Comparison with models:
Time series - Global scales
Similar seasonal cycle and year-to-year increase among satellite and models at NH
Agreement most times within 1ppm
SCIAMACHY: larger amplitude of the tropical 6-monthly period
SCIAMACHY: Instrument issues before mid 2003
Comparison with models:
Time series - TRANSCOM regions
Larger deviations at smaller scales (TRANSCOM regions)
Northern Africa: Jena model differs in amplitude and phase
Tropical Asia: larger amplitude seen by BESD and LSCE
Eurasian Boreal: BESD sees larger background values
Two inversion experiments:
Assimilation of flask measurements only (left)
Assimilation of satellite retrievals only (right)
As expected: Better agreement BESD vs. model when assimilating BESD
Better agreement in most time series of the TRANSCOM regions (e.g., Southern Africa, Eurasian Temperate)
Eurasian Boreal:
No improvement in few regions
Model not able to fit large winter values (too few satellite data?)
Model sometimes increases draw down during growing season
Conclusion
Two new SCIAMACHY XCO2 data sets (WFMD and BESD) have been created in the frame of ESA’s GHG CCI project

Large scale features are in good agreement with model results but larger differences of a few ppm are observed at smaller scales

Differences satellite vs. model are similarly large as model vs. model

The fluxes of the satellite inversion are sometimes consistent with the flask inversion but suggest, e.g., a considerably larger European sink (work in progress)
MACC surface flux inversion - Global pattern
MACC surface flux inversion - Time series
Model
(flasks assimilated)
Model
(satellite assimilated)
Satellite
MACC surface flux inversion
Comparison with HIPPO
In 3 out of 5 flights the standard deviation of the difference to HIPPO slightly improves
The overall standard deviation is nearly identical
In respect to HIPPO, the satellite only inversion results in similarly reliable concentrations as the flask only inversion
HIPPO is only a tiny snapshot and more analysis are needed to draw stronger conclusions
MACC surface flux inversion - Fluxes
Some regions show consistent fluxes as from the flask inversion
In other regions the satellite inversion deviates (unrealistically?) large
The satellite inversion suggests a larger European sink (consistent with Basu et al., 2013, ACPD)
Preliminary results of MACC inversions with 6 different satellite retrievals show similar features and indicate that they are not BESD-specific
Basu et al, 2013, ACPD
Schneising et al., 2012, ACP
¹University of Bremen, Institute of Environmental Physics, Bremen, Germany
²LSCE/IPSL, CEA-CNRS-UVSQ, Gif-sur-Yvette, France
Work in progress!
Full transcript