Articles | Volume 11, issue 9
https://doi.org/10.5194/amt-11-5049-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-5049-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Sep 2018
Research article |
| 06 Sep 2018
| 06 Sep 2018
NDACC harmonized formaldehyde time series from 21 FTIR stations covering a wide range of column abundances
Corinne Vigouroux
CORRESPONDING AUTHOR
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Carlos Augusto Bauer Aquino
Instituto Federal de Educaçao (IFRO), Ciência e Tecnologia de Rondônia, Porto Velho, Brazil
Maite Bauwens
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Cornelis Becker
Stichting Atmospherische en Hydrologische Ontwikkeling (SAHO), Paramaribo, Suriname
Thomas Blumenstock
Karlsruhe Institute of Technology (KIT), IMK-ASF, Karlsruhe, Germany
Martine De Mazière
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Omaira García
Izaña Atmospheric Research Centre (IARC), Agencia Estatal de Meteorología (AEMET), Santa Cruz de Tenerife, Spain
Michel Grutter
Centro de Ciencias de la Atmósfera, Universidad Nacional Autónoma de México (UNAM), 04510 Mexico City, México
César Guarin
Centro de Ciencias de la Atmósfera, Universidad Nacional Autónoma de México (UNAM), 04510 Mexico City, México
James Hannigan
Atmospheric Chemistry, Observations & Modeling, National Center for Atmospheric Research (NCAR), Boulder, CO, USA
Frank Hase
Karlsruhe Institute of Technology (KIT), IMK-ASF, Karlsruhe, Germany
Nicholas Jones
Centre for Atmospheric Chemistry, University of Wollongong, Wollongong, Australia
Rigel Kivi
Finnish Meteorological Institute (FMI), Sodankylä, Finland
Dmitry Koshelev
LERMA-IPSL, Sorbonne Université, CNRS, PSL Research University, Observatoire de Paris, 75005 Paris, France
Bavo Langerock
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Erik Lutsch
Department of Physics, University of Toronto, Toronto, Canada
Maria Makarova
Saint Petersburg State University, Atmospheric Physics Department, St Petersburg, Russia
Jean-Marc Metzger
Observatoire des Sciences de l'Univers Réunion (OSU-R), UMS 3365, Université de la Réunion, Saint-Denis, France
Jean-François Müller
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Justus Notholt
Institute of Environmental Physics, University of Bremen, Bremen, Germany
Ivan Ortega
Atmospheric Chemistry, Observations & Modeling, National Center for Atmospheric Research (NCAR), Boulder, CO, USA
Mathias Palm
Karlsruhe Institute of Technology (KIT), IMK-IFU, Garmisch-Partenkirchen, Germany
Clare Paton-Walsh
Centre for Atmospheric Chemistry, University of Wollongong, Wollongong, Australia
Anatoly Poberovskii
Saint Petersburg State University, Atmospheric Physics Department, St Petersburg, Russia
Markus Rettinger
Karlsruhe Institute of Technology (KIT), IMK-IFU, Garmisch-Partenkirchen, Germany
John Robinson
National Institute of Water and Atmospheric Research Ltd (NIWA), Lauder, New Zealand
Dan Smale
National Institute of Water and Atmospheric Research Ltd (NIWA), Lauder, New Zealand
Trissevgeni Stavrakou
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Wolfgang Stremme
Centro de Ciencias de la Atmósfera, Universidad Nacional Autónoma de México (UNAM), 04510 Mexico City, México
Kim Strong
Department of Physics, University of Toronto, Toronto, Canada
Ralf Sussmann
Karlsruhe Institute of Technology (KIT), IMK-IFU, Garmisch-Partenkirchen, Germany
LERMA-IPSL, Sorbonne Université, CNRS, PSL Research University, Observatoire de Paris, 75005 Paris, France
Geoffrey Toon
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
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Latest update: 08 Nov 2025
Short summary
A few ground-based stations have provided time series of HCHO columns 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 ensuring, 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 time series of HCHO columns until now, which was not...
