Authors

C Vigouroux, Royal Belgian Institute for Space AeronomyFollow
Carlos Augusto Bauer Aquino, Instituto Federal de Educacao
Maite Bauwens, Royal Belgian Institute for Space Aeronomy
Cornelis Becker, Stichting Atmospherische en Hydrologische Ontwikkeling
Thomas Blumenstock, Karlsruhe Institute of Technology
Martine de Maziere, Royal Belgian Institute for Space AeronomyFollow
Omaira García, Izaña Atmospheric Research Centre, Spain
Michel Grutter, Universidad Nacional Autonoma de Mexico
Cesar Guarin, Universidad Nacional Autonoma de Mexico
James W. Hannigan, National Center For Atmospheric Research, Boulder, United States
Frank Hase, Karlsruhe Institute of Technology
Nicholas B. Jones, University of WollongongFollow
Rigel Kivi, Finnish Meteorological Institute
Dmitry Koshelev, Sorbonne Universites
Bavo Langerock, Royal Belgian Institute for Space Aeronomy
Erik Lutsch, University of Toronto
M V. Makarova, Saint Petersburg State University
J -M Metzger, Universite de la Reunion
Jean François Muller, Royal Belgian Institute for Space Aeronomy
Justus Notholt, University of Bremen
Ivan Ortega, National Center For Atmospheric Research, Boulder, United States
Mathias Palm, University of Bremen, Karlsruhe Institute of Technology
Clare Paton-Walsh, University of WollongongFollow
A M. Poberovskii, Saint Petersburg State University
Markus Rettinger, Karlsruhe Institute of Technology
John Robinson, National Institute of Water and Atmospheric Research, New Zealand
D Smale, National Institute of Water and Atmospheric Research, New Zealand
Trissevgeni Stavrakou, Royal Belgian Institute for Space AeronomyFollow
Wolfgang Stremme, Universidad Nacional Autonoma de Mexico
Kimberly Strong, University of TorontoFollow
Ralf Sussmann, Karlsruhe Institute of TechnologyFollow
Yao Te, Sorbonne Universites
Geoffrey Toon, California Institute of Technology

RIS ID

130166

Publication Details

Vigouroux, C., Bauer Aquino, C., Bauwens, M., Becker, C., Blumenstock, T., de Maziere, M., Garcia, O., Grutter, M., Guarin, C., Hannigan, J., Hase, F., Jones, N., Kivi, R., Koshelev, D., Langerock, B., Lutsch, E., Makarova, M., Metzger, J., Muller, J., Notholt, J., Ortega, I., Palm, M., Paton-Walsh, C., Poberovskii, A., Rettinger, M., Robinson, J., Smale, D., Stavrakou, T., Stremme, W., Strong, K., Sussmann, R., Te, Y. & Toon, G. (2018). NDACC harmonized formaldehyde time series from 21 FTIR stations covering a wide range of column abundances. Atmospheric Measurement Techniques, 11 (9), 5049-5073.

Abstract

Among the more than 20 ground-based FTIR (Fourier transform infrared) stations currently operating around the globe, only a few have provided formaldehyde (HCHO) total column time series until now. Although several independent studies have shown that the FTIR measurements can provide formaldehyde total columns with good precision, the spatial coverage has not been optimal for providing good diagnostics for satellite or model validation. Furthermore, these past studies used different retrieval settings, and biases as large as 50% can be observed in the HCHO total columns depending on these retrieval choices, which is also a weakness for validation studies combining data from different ground-based stations. For the present work, the HCHO retrieval settings have been optimized based on experience gained from past studies and have been applied consistently at the 21 participating stations. Most of them are either part of the Network for the Detection of Atmospheric Composition Change (NDACC) or under consideration for membership. We provide the harmonized settings and a characterization of the HCHO FTIR products. Depending on the station, the total systematic and random uncertainties of an individual HCHO total column measurement lie between 12% and 27% and between 1 and 11x1014 moleccm-2, respectively. The median values among all stations are 13% and 2.9x1014 moleccm-2 for the total systematic and random uncertainties. This unprecedented harmonized formaldehyde data set from 21 ground-based FTIR stations is presented and its comparison with a global chemistry transport model shows consistency in absolute values as well as in seasonal cycles. The network covers very different concentration levels of formaldehyde, from very clean levels at the limit of detection (few 1013moleccm-2) to highly polluted levels (7x1016moleccm-2). Because the measurements can be made at any time during daylight, the diurnal cycle can be observed and is found to be significant at many stations. These HCHO time series, some of them starting in the 1990s, are crucial for past and present satellite validation and will be extended in the coming years for the next generation of satellite missions.

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Link to publisher version (DOI)

http://dx.doi.org/10.5194/amt-11-5049-2018