Journal metrics

Journal metrics

  • IF value: 3.248 IF 3.248
  • IF 5-year value: 3.650 IF 5-year 3.650
  • CiteScore value: 3.37 CiteScore 3.37
  • SNIP value: 1.253 SNIP 1.253
  • SJR value: 1.869 SJR 1.869
  • IPP value: 3.29 IPP 3.29
  • h5-index value: 47 h5-index 47
  • Scimago H index value: 60 Scimago H index 60
Discussion papers | Copyright
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 08 Feb 2018

Research article | 08 Feb 2018

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

NDACC harmonized formaldehyde time-series from 21 FTIR stations covering a wide range of column abundances

Corinne Vigouroux1, Carlos Augusto Bauer Aquino2, Maïté Bauwens1, Cornelis Becker3, Thomas Blumenstock4, Martine De Mazière1, Omaira García5, Michel Grutter6, César Guarin6, James Hannigan7, Frank Hase4, Nicholas Jones8, Rigel Kivi9, Dmitry Koshelev10, Bavo Langerock1, Erik Lutsch11, Maria Makarova12, Jean-Marc Metzger13, Jean-François Müller1, Justus Notholt14, Ivan Ortega7, Mathias Palm15, Clare Paton-Walsh8, Anatoly Poberovskii12, Markus Rettinger15, John Robinson16, Dan Smale16, Trissevgeni Stavrakou1, Wolfgang Stremme6, Kim Strong11, Ralf Sussmann15, Yao Té10, and Geoffrey Toon17 Corinne Vigouroux et al.
  • 1Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
  • 2Instituto Federal de Educaçao (IFRO), Ciência e Tecnologia de Rondônia, Porto Velho, Brazil
  • 3Stichting Atmospherische en Hydrologische Ontwikkeling (SAHO), Paramaribo, Suriname
  • 4Karlsruhe Institute of Technology (KIT), IMK-ASF, Karlsruhe, Germany
  • 5Izaña Atmospheric Research Centre (IARC), Agencia Estatal de Meteorología (AEMET), Santa Cruz de Tenerife, Spain
  • 6Centro de Ciencias de la Atmósfera, Universidad Nacional Au tónoma de México (UNAM), 04510 Mexico City, México
  • 7Atmospheric Chemistry, Observations & Modeling, National Center for Atmospheric Research (NCAR), Boulder, CO, USA
  • 8Centre for Atmospheric Chemistry, University of Wollongong, Wollongong, Australia
  • 9Finnish Meteorological Institute (FMI), Sodankylä, Finland
  • 10LERMA-IPSL, Sorbonne Université, CNRS, PSL Research University, Observatoire de Paris, 75005 Paris, France
  • 11Department of Physics, University of Toronto, Toronto, Canada
  • 12Saint Petersburg State University, Atmospheric Physics Department, St. Petersburg, Russia
  • 13Observatoire des Sciences de l’Univers Réunion (OSU-R), UMS 3365, Université de la Réunion, Saint-Denis, France
  • 14Institute of Environmental Physics, University of Bremen, Bremen, Germany
  • 15Karlsruhe Institute of Technology (KIT), IMK-IFU, Garmisch-Partenkirchen, Germany
  • 16National Institute of Water and Atmospheric Research Ltd (NIWA), Lauder, New Zealand
  • 17Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA

Abstract. Among the more than twenty ground-based FTIR (Fourier Transform infrared) stations currently operating around the globe, only a few have provided formaldehyde (HCHO) total columns time-series until now. Although several independent studies have shown that the FTIR measurements can provide accurate and precise formaldehyde total columns, 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 the 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 systematic and random uncertainties of an individual HCHO total column measurement lie between 11 and 31%; and between 1 and 11×1014 molec/cm2, respectively, with median values among all stations of 14% and 2.6×1014molec/cm2.

This unprecedented harmonized formaldehyde data set from 21 ground-based FTIR stations is presented and its comparison to a global chemistry transport model shows its 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 1013molec/cm2) to highly polluted levels (7×1016molec/cm2). 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 1990's, are crucial for past and present satellite validation, and will be extended in the coming years for the next generation of satellite missions.

Download & links
Corinne Vigouroux 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
Corinne Vigouroux et al.
Corinne Vigouroux et al.
Total article views: 467 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
299 155 13 467 8 14
  • HTML: 299
  • PDF: 155
  • XML: 13
  • Total: 467
  • BibTeX: 8
  • EndNote: 14
Views and downloads (calculated since 08 Feb 2018)
Cumulative views and downloads (calculated since 08 Feb 2018)
Viewed (geographical distribution)
Total article views: 444 (including HTML, PDF, and XML) Thereof 444 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
No saved metrics found.
No discussed metrics found.
Latest update: 17 Jul 2018
Publications Copernicus
Short summary
A few ground-based stations have provided HCHO columns time-series until now, which was not optimal for providing good diagnostics for satellite or model validation. In this work, HCHO time-series have been determined in a harmonized way at 21 stations assuring, in addition to a better spatial and level of abundances coverage, that internal biases within the network have been minimized. This data set shows consistent good agreement with model data, and is ready for future satellite validation.
A few ground-based stations have provided HCHO columns time-series until now, which was not...