A method for evaluating bias in global measurements of CO 2 total columns from space

@inproceedings{Wunch2011AMF,
  title={A method for evaluating bias in global measurements of CO 2 total columns from space},
  author={Debra Wunch and Paul O. Wennberg and Geoffrey C. Toon and Brian J. Connor and Brent Fisher and Gregory B Osterman and Christian Frankenberg and Lukas Mandrake and Christopher W. O’Dell and Pasi Ahonen and Sebastien C. Biraud and Rebecca. Castano and Noel Cressie and David Crisp and Nicholas M. Deutscher and Annmarie Eldering and Michael Fisher and David W. T. Griffith and Michael Gunson and Pauli Heikkinen and Gretchen Keppel-Aleks and Esko Kyr{\"o} and Rodica Lindenmaier and Ronald Macatangay and Joana Mendonça and J. Messerschmidt and Charles E. Miller and Isamu Morino and Justus Notholt and F. A.G. and Oyafuso and Markus Rettinger and Joseph R. Robinson and Coleen M. Roehl and Ross J Salawitch and Vanessa Sherlock and Kimberly Strong and Ralf Sussmann and Takahiro Tanaka and David R. Thompson and Osamu Uchino and Thorsten Warneke and Steven C. Wofsy},
  year={2011}
}
We describe a method of evaluating systematic errors in measurements of total column dry-air mole fractions of CO2 (XCO2) from space, and we illustrate the method by applying it to the v2.8 Atmospheric CO2 Observations from Space retrievals of the Greenhouse Gases Observing Satellite (ACOS-GOSAT) measurements over land. The approach exploits the lack of large gradients in XCO2 south of 25S to identify large-scale offsets and other biases in the ACOS-GOSAT data with several retrieval parameters… CONTINUE READING
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