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Discussion papers
https://doi.org/10.5194/amt-2019-201
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-2019-201
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 07 Jun 2019

Submitted as: research article | 07 Jun 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Measurement Techniques (AMT).

Evaluation of MOPITT version 7 joint TIR-NIR XCO retrievals with TCCON

Jacob K. Hedelius1, Tai-Long He1, Dylan B. A. Jones1, Rebecca R. Buchholz2, Martine De Mazière3, Nicholas M. Deutscher4, Manvendra K. Dubey5, Dietrich G. Feist6,7, David W. T. Griffith4, Frank Hase8, Laura T. Iraci9, Pascal Jeseck10, Matthäus Kiel11, Rigel Kivi12, Cheng Liu13, Isamu Morino14, Justus Notholt15, Young-Suk Oh16, Hirofumi Ohyama14, David F. Pollard17, Markus Rettinger18, Sébastien Roche1, Coleen M. Roehl11, Matthias Schneider8, Kei Shiomi19, Kimberly Strong1, Ralf Sussmann18, Colm Sweeney20,21, Yao Té10, Osamu Uchino14, Voltaire A. Velazco4,22, Wei Wang23, Thorsten Warneke15, Paul O. Wennberg11,24, Helen M. Worden2, and Debra Wunch1 Jacob K. Hedelius et al.
  • 1Department of Physics, University of Toronto, Toronto, Canada
  • 2Atmospheric Chemistry Observations & Modeling, National Center for Atmospheric Research, Boulder, Colorado, USA
  • 3Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, 1180, Belgium
  • 4Centre for Atmospheric Chemistry, School of Earth, Atmospheric and Life Sciences, University of Wollongong, NorthfieldsAve. Wollongong NSW 2522 Australia
  • 5Los Alamos National Laboratory, Earth and Environmental Sciences, Los Alamos, NM, USA
  • 6Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
  • 7Max Planck Institute for Biogeochemistry, Jena, Germany
  • 8Institute of Meteorology and Climate Research (IMK-ASF), Karlsruhe Institute of Technology, Karlsruhe, Germany
  • 9NASA Ames Research Center, Mountain View, CA, USA
  • 10LERMA-IPSL, Sorbonne Université, CNRS, Observatoire de Paris, PSL Université, 75005, Paris, France
  • 11Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, USA
  • 12Finnish Meteorological Institute, Sodankylä, Finland
  • 13University of Science and Technology of China, Hefei, 230026, China
  • 14National Institute for Environmental Studies (NIES), Tsukuba, Japan
  • 15University of Bremen, Bremen, Germany
  • 16National Institute of Meteorological Sciences 33, Seohobuk-ro, Seogwipo-si, Jeju-do 63568, Republic of Korea
  • 17National Institute of Water and Atmospheric Research, Lauder, New Zealand
  • 18Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research (IMK-IFU),Garmisch-Partenkirchen, Germany
  • 19Japan Aerospace Exploration Agency, Tsukuba, Japan
  • 20Cooperative Institutes for Research in Environmental Sciences, University of Colorado, Boulder, CO, USA
  • 21NOAA Earth System Research Laboratory, Boulder, CO, USA
  • 22Oscar M. Lopez Center for Climate Change Adaptation and Disaster Risk Management Foundation, Inc., Philippines
  • 23Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academyof Sciences, Hefei, China
  • 24Division of Engineering and Applied Science, California Institute of Technology, Pasadena, California, USA

Abstract. Observations of carbon monoxide (CO) from the Measurements Of Pollution In The Troposphere (MOPITT) instrument onboard the Terra spacecraft were expected to have an accuracy of 10 % prior to launch in 1999. Here we evaluate MOPITT version 7 joint TIR-NIR (V7J) accuracy and precision, and suggest ways to further improve the accuracy of the observations. We take five steps involving filtering or bias corrections to reduce scatter and bias in the data relative to other MOPITT soundings, and ground based measurements. 1) We apply a preliminary filtering scheme in which measurements over snow and ice are removed. 2) We find a systematic pairwise bias among the four MOPITT along-track detectors (pixels) on the order of 3–4 ppb with a small temporal trend, which we remove on a global scale using a temporally trended bias correction. 3) Using a small region approximation (SRA) a new filtering scheme is developed and applied based on additional quality indicators such as signal-to-noise. After applying these new filters, the root mean squared error computed using the local median from the SRA over 16 years of global observations decreases from 3.84 ppb to 2.55 ppb. 4) We also use the SRA to find variability in MOPITT retrieval anomalies that relates to retrieval parameters. We apply a bias correction to one parameter from this analysis. 5) After applying the previous bias corrections and filtering, we compare the MOPITT results with the GGG2014 ground-based Total Carbon Column Observing Network (TCCON) observations to obtain an overall global bias correction. These comparisons show that MOPITT V7J is biased high by about 6–8 %, which is similar to past studies using independent validation datasets on V6J. When using TCCON spectrometric column retrievals without the standard airmass correction or scaling to aircraft (WMO scale), the ground and satellite based observations overall agree to better than 0.5 %. GEOS-Chem data assimilations are used to estimate the influence of filtering and scaling to TCCON on global CO, and tend to pull concentrations away from the prior, and closer to the truth. We conclude with suggestions for further improving the MOPITT data products.

Jacob K. Hedelius et al.
Interactive discussion
Status: final response (author comments only)
Status: final response (author comments only)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Jacob K. Hedelius et al.
Data sets

TCCON data from Edwards (US), Release GGG2014.R1 Iraci, L. T., Podolske, J., Hillyard, P. W., Roehl, C., Wennberg, P. O., Blavier, J.-F., Allen, N., Wunch, D., Osterman, G. B., and Albertson, R. https://doi.org/10.14291/tccon.ggg2014.edwards01.R1/1255068

TCCON data from Anmeyondo (KR), Release GGG2014R0 Goo, T.-Y., Oh, Y.-S., and Velazco, V. A. https://doi.org/10.14291/tccon.ggg2014.anmeyondo01.R0/1149284

TCCON data from Ascension Island (SH), Release GGG2014R0 Feist, D. G., Arnold, S. G., John, N., and Geibel, M. C. https://doi.org/10.14291/tccon.ggg2014.ascension01.R0/1149285

TCCON data from Bialystok (PL), Release GGG2014R1 Deutscher, N. M., Notholt, J., Messerschmidt, J., Weinzierl, C., Warneke, T., Petri, C., Grupe, P., and Katrynski, K. https://doi.org/10.14291/tccon.ggg2014.bialystok01.R1/1183984

TCCON data from Bremen (DE), Release GGG2014R0 Notholt, J., Petri, C., Warneke, T., Deutscher, N. M., Buschmann, M., Weinzierl, C., Macatangay, R., and Grupe, P. https://doi.org/10.14291/tccon.ggg2014.bremen01.R0/1149275

TCCON data from Burgos, Ilocos Norte (PH) Morino, I., Velazco, V. A., Hori, A., Uchino, O., and Griffith, D.W. T. https://doi.org/10.14291/tccon.ggg2014.burgos01.R0

TCCON data from Caltech (US), Release GGG2014R1 Wennberg, P. O., Wunch, D., Roehl, C., Blavier, J.-F., Toon, G. C., and Allen, N. https://doi.org/10.14291/tccon.ggg2014.pasadena01.R1/1182415

TCCON data from Darwin (AU), Release GGG2014R0 Griffith, D. W., Deutscher, N. M., Velazco, V. A., Wennberg, P. O., Yavin, Y., Aleks, G. K., Washenfelder, R. A., Toon, G. C., Blavier, J.-F., Murphy, C., Jones, N., Kettlewell, G., Connor, B. J., Macatangay, R., Roehl, C., Ryczek, M., Glowacki, J., Culgan, T., and Bryant, G. https://doi.org/10.14291/tccon.ggg2014.darwin01.R0/1149290

TCCON data from East Trout Lake (CA), Release GGG2014R1 Wunch, D., Mendonca, J., Colebatch, O., Allen, N., Blavier, J.-F. L., Roche, S., Hedelius, J. K., Neufeld, G., Springett, S., Worthy, D. E. J., Kessler, R., and Strong, K. https://doi.org/10.14291/tccon.ggg2014.easttroutlake01.R1

TCCON data from Eureka (CA), Release GGG2014.R2 Strong, K., Roche, S., Franklin, J. E., Mendonca, J., Lutsch, E., Weaver, D., Fogal, P. F., Drummond, J. R., Batchelor, R., and Lindenmaier, R. https://doi.org/10.14291/tccon.ggg2014.eureka01.r2

TCCON data from Four Corners (US), Release GGG2014R0 Dubey, M., Lindenmaier, R., Henderson, B., Green, D., Allen, N., Roehl, C., Blavier, J.-F., Butterfield, Z., Love, S., Hamelmann, J., and Wunch, D. https://doi.org/10.14291/tccon.ggg2014.fourcorners01.R0/1149272

TCCON data from Garmisch (DE), Release GGG2014R0 Sussmann, R. and Rettinger, M. https://doi.org/10.14291/tccon.ggg2014.garmisch01.R0/1149299

TCCON data from Hefei, China, Release GGG2014.R0 Liu, C., Wang, W., and Sun, Y. https://doi.org/10.14291/tccon.ggg2014.hefei01.R0

TCCON data from Indianapolis (US), Release GGG2014R1 Iraci, L. T., Podolske, J., Hillyard, P. W., Roehl, C., Wennberg, P. O., Blavier, J.-F., Landeros, J., Allen, N., Wunch, D., Zavaleta, J., Quigley, E., Osterman, G. B., Barrow, E., and Barney, J. https://doi.org/10.14291/tccon.ggg2014.indianapolis01.R1/1330094

TCCON data from Izana (ES), Release GGG2014R0 Blumenstock, T., Hase, F., Schneider, M., Garcia, O. E., and Sepulveda, E. https://doi.org/10.14291/tccon.ggg2014.izana01.R0/1149295

TCCON data from Jet Propulsion Laboratory (US), 2007 Wennberg, P. O., Wunch, D., Yavin, Y., Toon, G. C., Blavier, J.-F., Allen, N., and Keppel-Aleks, G. https://doi.org/10.14291/tccon.ggg2014.jpl01.R0/1149163

TCCON data from Jet Propulsion Laboratory (US), 2011, Release GGG2014R1 Wennberg, P. O., Roehl, C., Blavier, J.-F., Wunch, D., Landeros, J., and Allen, N. https://doi.org/10.14291/tccon.ggg2014.jpl02.R1/1330096

TCCON data from Karlsruhe (DE), Release GGG2014R1 Hase, F., Blumenstock, T., Dohe, S., Gross, J., and Kiel, M. https://doi.org/10.14291/tccon.ggg2014.karlsruhe01.R1/1182416

TCCON data from Lamont (US), Release GGG2014R1 Wennberg, P. O., Wunch, D., Roehl, C., Blavier, J.-F., Toon, G. C., Allen, N., Dowell, P., Teske, K., Martin, C., and Martin., J. https://doi.org/10.14291/tccon.ggg2014.lamont01.R1/1255070

TCCON data from Lauder (NZ), 120HR, Release GGG2014R0 Sherlock, V., Connor, B. J., Robinson, J., Shiona, H., Smale, D., and Pollard, D. https://doi.org/10.14291/tccon.ggg2014.lauder01.R0/1149293

TCCON data from Lauder (NZ), 125HR, Release GGG2014R0 Sherlock, V., Connor, B. J., Robinson, J., Shiona, H., Smale, D., and Pollard, D. https://doi.org/10.14291/tccon.ggg2014.lauder02.R0/1149298

TCCON data from Manaus (BR), Release GGG2014R0 Dubey, M., Henderson, B., Green, D., Butterfield, Z., Keppel-Aleks, G., Allen, N., Blavier, J.-F., Roehl, C., Wunch, D., and Lindenmaier, R. https://doi.org/10.14291/tccon.ggg2014.manaus01.R0/1149274

TCCON data from Ny Ålesund, Spitsbergen (NO), Release GGG2014.R0 Notholt, J., Warneke, T., Petri, C., Deutscher, N. M., Weinzierl, C., Palm, M., and Buschmann, M. https://doi.org/10.14291/tccon.ggg2014.nyalesund01.R0/1149278

TCCON data from Orléans (FR), Release GGG2014R0 Warneke, T., Messerschmidt, J., Notholt, J., Weinzierl, C., Deutscher, N. M., Petri, C., Grupe, P., Vuillemin, C., Truong, F., Schmidt, M., Ramonet, M., and Parmentier, E. https://doi.org/10.14291/tccon.ggg2014.orleans01.R0/1149276

TCCON data from Paris (FR), Release GGG2014R0 Té, Y., Jeseck, P., and Janssen, C. https://doi.org/10.14291/tccon.ggg2014.paris01.R0/1149279

TCCON data from Park Falls (US), Release GGG2014.R1 Wennberg, P. O., Roehl, C., Wunch, D., Toon, G. C., Blavier, J.-F., Washenfelder, R. a., Keppel-Aleks, G., Allen, N., and Ayers, J.: https://doi.org/10.14291/tccon.ggg2014.parkfalls01.r1

TCCON data from Reunion Island (RE), Release GGG2014R0 De Mazière, M., Sha, M. K., Desmet, F., Hermans, C., Scolas, F., Kumps, N., Metzger, J.-M., Duflot, V., and Cammas, J.-P. https://doi.org/10.14291/tccon.ggg2014.reunion01.R0/1149288

TCCON data from Rikubetsu (JP), Release GGG2014R1 Morino, I., Yokozeki, N., Matzuzaki, T., and Horikawa, M. https://doi.org/10.14291/tccon.ggg2014.rikubetsu01.R1/1242265

TCCON data from Saga (JP), Release GGG2014R0 Kawakami, S., Ohyama, H., Arai, K., Okumura, H., Taura, C., Fukamachi, T., and Sakashita, M. https://doi.org/10.14291/tccon.ggg2014.saga01.R0/1149283

TCCON data from Sodankyla (FI), Release GGG2014R0 Kivi, R., Heikkinen, P., and Kyrö, E. https://doi.org/10.14291/tccon.ggg2014.sodankyla01.R0/1149280

TCCON data from Tsukuba (JP), 125HR, Release GGG2014R1 Morino, I., Matsuzaki, T., and Shishime, A. https://doi.org/10.14291/tccon.ggg2014.tsukuba02.R1/1241486

TCCON data from Wollongong (AU), Release GGG2014R0 Griffith, D. W., Velazco, V. A., Deutscher, N. M., Murphy, C., Jones, N., Wilson, S., Macatangay, R., Kettlewell, G., Buchholz, R. R., and Riggenbach, M. https://doi.org/10.14291/tccon.ggg2014.wollongong01.R0/1149291

TCCON data from Zugspitze (DE), Release GGG2014R1 Sussmann, R. and Rettinger, M. https://doi.org/10.14291/tccon.ggg2014.zugspitze01.R1

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Short summary
We seek ways to improve the accuracy of column measurements of carbon monoxide (CO) – an important tracer of pollution – made from the MOPITT satellite instrument. We devise a filtering scheme which reduces the scatter and also eliminate a bias among the MOPITT detectors. As compared to ground based observations, MOPITT measurements are about 6–8 % higher. When MOPITT data are implemented in a global assimilation model, they tend to reduce the model mismatch with aircraft measurements.
We seek ways to improve the accuracy of column measurements of carbon monoxide (CO) – an...
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