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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union

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Atmos. Meas. Tech., 10, 1927-1956, 2017
https://doi.org/10.5194/amt-10-1927-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
01 Jun 2017
Validation of MOPITT carbon monoxide using ground-based Fourier transform infrared spectrometer data from NDACC
Rebecca R. Buchholz1, Merritt N. Deeter1, Helen M. Worden1, John Gille1, David P. Edwards1, James W. Hannigan1, Nicholas B. Jones2, Clare Paton-Walsh2, David W. T. Griffith2, Dan Smale3, John Robinson3, Kimberly Strong4, Stephanie Conway4, Ralf Sussmann5, Frank Hase6, Thomas Blumenstock6, Emmanuel Mahieu7, and Bavo Langerock8 1Atmospheric Chemistry Observations & Modeling, National Center for Atmospheric Research, Boulder, Colorado, USA
2Centre for Atmospheric Chemistry, University of Wollongong, Wollongong, Australia
3National Institute of Water and Atmospheric Research, Lauder, New Zealand
4Department of Physics, University of Toronto, Toronto, Canada
5Karlsruhe Institute of Technology, IMK-IFU, Garmisch-Partenkirchen, Germany
6Karlsruhe Institute of Technology, IMK-ASF, Karlsruhe, Germany
7Institute of Astrophysics and Geophysics, University of Liège, Liège, Belgium
8Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Abstract. The Measurements of Pollution in the Troposphere (MOPITT) satellite instrument provides the longest continuous dataset of carbon monoxide (CO) from space. We perform the first validation of MOPITT version 6 retrievals using total column CO measurements from ground-based remote-sensing Fourier transform infrared spectrometers (FTSs). Validation uses data recorded at 14 stations, that span a wide range of latitudes (80° N to 78° S), in the Network for the Detection of Atmospheric Composition Change (NDACC). MOPITT measurements are spatially co-located with each station, and different vertical sensitivities between instruments are accounted for by using MOPITT averaging kernels (AKs). All three MOPITT retrieval types are analyzed: thermal infrared (TIR-only), joint thermal and near infrared (TIR–NIR), and near infrared (NIR-only). Generally, MOPITT measurements overestimate CO relative to FTS measurements, but the bias is typically less than 10 %. Mean bias is 2.4 % for TIR-only, 5.1 % for TIR–NIR, and 6.5 % for NIR-only. The TIR–NIR and NIR-only products consistently produce a larger bias and lower correlation than the TIR-only. Validation performance of MOPITT for TIR-only and TIR–NIR retrievals over land or water scenes is equivalent. The four MOPITT detector element pixels are validated separately to account for their different uncertainty characteristics. Pixel 1 produces the highest standard deviation and lowest correlation for all three MOPITT products. However, for TIR-only and TIR–NIR, the error-weighted average that includes all four pixels often provides the best correlation, indicating compensating pixel biases and well-captured error characteristics. We find that MOPITT bias does not depend on latitude but rather is influenced by the proximity to rapidly changing atmospheric CO. MOPITT bias drift has been bound geographically to within ±0.5 % yr−1 or lower at almost all locations.

Citation: 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
The study presents the first systematic use of ground-based remote-sensing data from the Network for the Detection of Atmospheric Composition Change (NDACC) to validate satellite-based Measurements of Pollution in the Troposphere (MOPITT) total column carbon monoxide (CO). MOPITT generally shows low bias with respect to the ground-based instruments. The geographic and temporal dependence of validation results are determined. Our findings inform some recommendations for using MOPITT measurements.
The study presents the first systematic use of ground-based remote-sensing data from the Network...
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