Abstract
Global observations of the carbon budget 3. Initial assessment of the impact of satellite orbit, scan geometry, and cloud
on measuring CO2 from space
Global observations of the carbon budget 3. Initial assessment of the impact of satellite orbit, scan geometry, and cloud
on measuring CO2 from space
P. J. Rayner
Atmospheric Research, Commonwealth Scientific and Industrial Research Organisation,
Aspendale,
Victoria,
Australia
R. M. Law
Atmospheric Research, Commonwealth Scientific and Industrial Research Organisation,
Aspendale,
Victoria,
Australia
D. M. O'Brien
Atmospheric Research, Commonwealth Scientific and Industrial Research Organisation,
Aspendale,
Victoria,
Australia
T. M. Butler
School of Earth Sciences,
University of Melbourne,
Parkville,
Victoria,
Australia
A. C. Dilley
Atmospheric Research, Commonwealth Scientific and Industrial Research Organisation,
Aspendale,
Victoria,
Australia
In this third of three companion papers we assess the utility of column-integrated measurements of CO2 in constraining surface source estimates. The measurements have error characteristics defined by
O'Brien and Rayner [2002]
. There we described a retrieval algorithm which appeared capable of unbiased retrievals. An assessment of the sensitivity
to dominant sources of error in these measurements suggested a precision about 0.5% of the background mixing ratio. We include
this information along with the probability of clear sky and the sampling pattern imposed by a particular orbit and scan geometry.
We carry out a synthesis inversion to recover specified surface sources. The uncertainty of the inferred sources quantifies
the strength of the constraint offered by such measurements. The difference between input and retrieved sources demonstrates
biases in the whole procedure. We show that source uncertainties are low in the presence of a sunlit surface but rise dramatically
at high latitudes in winter. Provided we use sufficient spatial resolution for the sources we estimate, the inversion can
also produce relatively accurate estimates. The inversion procedure is sensitive to biases caused by poor sampling of the
diurnal cycle. Errors that isotropically affect all measured mixing ratios do not cause biases in estimated sources.
Published 7
November
2002.
Citation: Rayner, P. J., R. M. Law, D. M. O'Brien, T. M. Butler, and A. C. Dilley
(2002),
Global observations of the carbon budget 3. Initial assessment of the impact of satellite orbit, scan geometry, and cloud
on measuring CO2 from space,
J. Geophys. Res.,
107(D21),
4557,
doi:10.1029/2001JD000618.