Articles | Volume 15, issue 3
https://doi.org/10.5194/amt-15-701-2022
https://doi.org/10.5194/amt-15-701-2022
Research article
 | 
09 Feb 2022
Research article |  | 09 Feb 2022

Analysis of improvements in MOPITT observational coverage over Canada

Heba S. Marey, James R. Drummond, Dylan B. A. Jones, Helen Worden, Merritt N. Deeter, John Gille, and Debbie Mao

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Cited articles

Ackerman, S. A., Stabala, K. I., Menzel, W. P., Frey, R. A., Moeller, C., and Gumley, L. E.: Discriminating clear sky from clouds with MODIS, J. Geophys. Res., 103, 32141–32157, https://doi.org/10.1029/1998JD200032, 1998. 
Ackerman, S. A., Holz, R. E., Frey, R., Eloranta, E. W., Maddux, B., and McGill, M. J.: Cloud detection with MODIS: Part II. Validation, J. Atmos. Ocean. Tech., 25, 1073–1086, 2008. 
Barré, J., Gaubert, B., Arellano, A. F., Worden, H. M., Edwards, D. P., Deeter, M. N., Anderson, J. L., Raeder, K., Collins, N., Tilmes, S., Clerbaux, C., Emmons, L. K., Pfister, G. G., Francis, G., and Hurtmans, D.: Assessing the impacts of assimilating IASI and MOPITT CO retrievals using CESM-CAM-chem and DART, J. Geophys. Res.-Atmos., 120, 10–501, 2015. 
Buchholz, R. R., Deeter, M. N., Worden, H. M., Gille, J., Edwards, D. P., Hannigan, J. W., Jones, N. B., Paton-Walsh, C., Griffith, D. W. T., Smale, D., Robinson, J., Strong, K., Conway, S., Sussmann, R., Hase, F., Blumenstock, T., Mahieu, E., and Langerock, B.: Validation of MOPITT carbon monoxide using ground-based Fourier transform infrared spectrometer data from NDACC, Atmos. Meas. Tech., 10, 1927–1956, https://doi.org/10.5194/amt-10-1927-2017, 2017. 
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Short summary
In this study, an analysis has been performed to understand the improvements in observational coverage over Canada in the new MOPITT V9 product. Temporal and spatial analysis of V9 indicates a general coverage gain of 15–20 % relative to V8, which varies regionally and seasonally; e.g., the number of successful MOPITT retrievals in V9 was doubled over Canada in winter. Also, comparison with the corresponding IASI instrument indicated generally good agreement, with about a 5–10 % positive bias.
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