the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Investigating differences in DOAS retrieval codes using MAD-CAT campaign data
Enno Peters
Gaia Pinardi
André Seyler
Andreas Richter
Folkard Wittrock
Tim Bösch
Michel Van Roozendael
François Hendrick
Theano Drosoglou
Alkiviadis F. Bais
Yugo Kanaya
Xiaoyi Zhao
Kimberly Strong
Johannes Lampel
Rainer Volkamer
Theodore Koenig
Ivan Ortega
Olga Puentedura
Mónica Navarro-Comas
Laura Gómez
Margarita Yela González
Ankie Piters
Julia Remmers
Yang Wang
Thomas Wagner
Shanshan Wang
Alfonso Saiz-Lopez
David García-Nieto
Carlos A. Cuevas
Nuria Benavent
Richard Querel
Paul Johnston
Oleg Postylyakov
Alexander Borovski
Alexander Elokhov
Ilya Bruchkouski
Haoran Liu
Cheng Liu
Qianqian Hong
Claudia Rivera
Michel Grutter
Wolfgang Stremme
M. Fahim Khokhar
Junaid Khayyam
John P. Burrows
Abstract. The differential optical absorption spectroscopy (DOAS) method is a well-known remote sensing technique that is nowadays widely used for measurements of atmospheric trace gases, creating the need for harmonization and characterization efforts. In this study, an intercomparison exercise of DOAS retrieval codes from 17 international groups is presented, focusing on NO2 slant columns. The study is based on data collected by one instrument during the Multi-Axis DOAS Comparison campaign for Aerosols and Trace gases (MAD-CAT) in Mainz, Germany, in summer 2013. As data from the same instrument are used by all groups, the results are free of biases due to instrumental differences, which is in contrast to previous intercomparison exercises.
While in general an excellent correlation of NO2 slant columns between groups of > 99.98 % (noon reference fits) and > 99.2 % (sequential reference fits) for all elevation angles is found, differences between individual retrievals are as large as 8 % for NO2 slant columns and 100 % for rms residuals in small elevation angles above the horizon.
Comprehensive sensitivity studies revealed that absolute slant column differences result predominantly from the choice of the reference spectrum while relative differences originate from the numerical approach for solving the DOAS equation as well as the treatment of the slit function. Furthermore, differences in the implementation of the intensity offset correction were found to produce disagreements for measurements close to sunrise (8–10 % for NO2, 80 % for rms residual). The largest effect of ≈ 8 % difference in NO2 was found to arise from the reference treatment; in particular for fits using a sequential reference. In terms of rms fit residual, the reference treatment has only a minor impact. In contrast, the wavelength calibration as well as the intensity offset correction were found to have the largest impact (up to 80 %) on rms residual while having only a minor impact on retrieved NO2 slant columns.
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