Articles | Volume 7, issue 11
Atmos. Meas. Tech., 7, 3623–3632, 2014
https://doi.org/10.5194/amt-7-3623-2014
Atmos. Meas. Tech., 7, 3623–3632, 2014
https://doi.org/10.5194/amt-7-3623-2014

Research article 05 Nov 2014

Research article | 05 Nov 2014

The MOPITT Version 6 product: algorithm enhancements and validation

M. N. Deeter1, S. Martínez-Alonso1, D. P. Edwards1, L. K. Emmons1, J. C. Gille1, H. M. Worden1, C. Sweeney2, J. V. Pittman3, B. C. Daube3, and S. C. Wofsy3 M. N. Deeter et al.
  • 1Atmospheric Chemistry Division, National Center for Atmospheric Research, Boulder, CO, USA
  • 2Global Monitoring Division, NOAA/ESRL, Boulder, CO, USA
  • 3Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, USA

Abstract. The Measurements of Pollution in the Troposphere (MOPITT) Version 6 (V6) product for carbon monoxide (CO) incorporates several enhancements which will benefit many users of MOPITT data. V6 algorithm improvements are described in detail, and V6 validation results are presented. First, a geolocation bias related to the orientation of the MOPITT instrument relative to the TERRA platform was characterized and eliminated. Second, the variable a priori for CO concentrations for V6 is based on simulations performed with the chemical transport model Community Atmosphere Model with Chemistry (CAM-chem) for the years 2000–2009 instead of the model-derived climatology for 1997–2004 used for V5. Third, meteorological fields required for V6 retrieval processing are extracted from the MERRA (Modern-Era Retrospective Analysis For Research And Applications) reanalysis. Finally, a significant latitude-dependent retrieval bias in the upper troposphere in Version 5 products has been substantially reduced.

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Short summary
The MOPITT Version 6 product for carbon monoxide (CO) incorporates several enhancements. First, a geolocation bias has been eliminated. Second, the new variable a priori for CO concentrations is based on simulations performed with the CAM-Chem chemical transport model for the years 2000-2009. Third, required meteorological fields are extracted from the MERRA reanalysis. Finally, a retrieval bias in the upper troposphere was substantially reduced. Validation results are presented.