Articles | Volume 10, issue 2
https://doi.org/10.5194/gmd-10-721-2017
https://doi.org/10.5194/gmd-10-721-2017
Model description paper
 | 
15 Feb 2017
Model description paper |  | 15 Feb 2017

The high-resolution version of TM5-MP for optimized satellite retrievals: description and validation

Jason E. Williams, K. Folkert Boersma, Phillipe Le Sager, and Willem W. Verstraeten

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Cited articles

Aan de Brugh, J. M. J., Schaap, M., Vignati, E., Dentener, F., Kahnert, M., Sofiev, M., Huijnen, V., and Krol, M. C.: The European aerosol budget in 2006, Atmos. Chem. Phys., 11, 1117–1139, https://doi.org/10.5194/acp-11-1117-2011, 2011.
Aas, W., Hjellbrekke, A.-G., Schaug, J., and Solberg, S.: Data quality 1999, quality assurance and field comparisons, Kjeller, Norwegian Institute for Air Research, EMEP/CCC Report 6/2001, 2001.
Abbatt, J. P. D., Lee, A. K. Y., and Thornton, J. A.: Quantifying trace gas uptake to tropospheric aerosol: recent advances and remaining challenges, Chem. Soc. Rev., 41, 6555–6581, https://doi.org/10.1039/c2cs35052a, 2012.
Alonza Gray, B., Wang, Y., Gu, D., Bandy, A., Mauldin, L., Clarke, A., Alexander, B., and Davis, D. D.: Sources, transport, and sinks of SO2 over the equatorial Pacific during the Pacific Atmospheric Sulfur Experiment, J. Atmos. Chem., 68, 27–53, https://doi.org/10.1007/s10874-010-9177-7, 2011.
Atkinson, R., Baulch, D. L., Cox, R. A., Crowley, J. N., Hampson, R. F., Hynes, R. G., Jenkin, M. E., Rossi, M. J., and Troe, J.: Evaluated kinetic and photochemical data for atmospheric chemistry: Volume I – gas phase reactions of Ox, HOx, NOx and SOx species, Atmos. Chem. Phys., 4, 1461–1738, https://doi.org/10.5194/acp-4-1461-2004, 2004.
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Short summary
The launch of Earth-orbiting satellites with small footprints necessitates the development of global chemistry transport models which are able to differentiate between high- and low-emission regimes and provide dedicated a priori tropospheric columns of trace gas species for the purpose of deriving accurate retrievals of integrated columns. We focus on the effects introduced with respect to global trace gas distributions in TM5-MP when increasing horizontal resolution from 3 × 2 to 1 × 1 degrees.