Articles | Volume 7, issue 5
https://doi.org/10.5194/gmd-7-2485-2014
https://doi.org/10.5194/gmd-7-2485-2014
Development and technical paper
 | 
24 Oct 2014
Development and technical paper |  | 24 Oct 2014

Development of a variational flux inversion system (INVICAT v1.0) using the TOMCAT chemical transport model

C. Wilson, M. P. Chipperfield, M. Gloor, and F. Chevallier

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Cited articles

Amsallem, D., Zahr, M., Choi, Y., and Farhat, C.: Design Optimization Using Hyper-Reduced-Order Models, Technical report, Stanford University, 2013.
Andersson, E., Fisher, M., Munro, R., and McNally, A.: Diagnosis of background errors for radiances and other observable quantities in a variational data assimilation scheme, and the explanation of a case of poor convergence, Q. J. Roy. Meteor. Soc., 126, 1455–1472, 2000.
Arnold, S. R., Chipperfield, M. P., and Blitz, M. A.: A three-dimensional model study of the effect of new temperature-dependent quantum yields for acetone photolysis, J. Geophys. Res., 110, D22305, https://doi.org/10.1029/2005JD005998, 2005.
Berchet, A., Pison, I., Chevallier, F., Bousquet, P., Conil, S., Geever, M., Laurila, T., Lavrič, J., Lopez, M., Moncrieff, J., Necki, J., Ramonet, M., Schmidt, M., Steinbacher, M., and Tarniewicz, J.: Towards better error statistics for atmospheric inversions of methane surface fluxes, Atmos. Chem. Phys., 13, 7115–7132, https://doi.org/10.5194/acp-13-7115-2013, 2013.