Investigating differences in DOAS retrieval codes using MAD-CAT campaign data

Autor: Enno Peters, Gaia Pinardi, André Seyler, Andreas Richter, Folkard Wittrock, Tim Bösch, John P. Burrows, Michel Van Roozendael, François Hendrick, Theano Drosoglou, Alkis F. Bais, Yugo Kanaya, Xiaoyi Zhao, Kimberly Strong, Johannes Lampel, Rainer Volkamer, Theodore Koenig, Ivan Ortega, Ankie Piters, Olga Puentedura, Mónica Navarro, Laura Gómez, Margarita Yela González, 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, Aleksandr Elokhov, Ilya Bruchkouski, Cheng Liu, Qianqian Hong, Haoran Liu, Claudia Rivera, Michel Grutter, Wolfgang Stremme, M. Fahim Khokhar, Junaid Khayyam

Publikováno v: Digital.CSIC. Repositorio Institucional del CSIC
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BASE-Bielefeld Academic Search Engine
Atmospheric Measurement Techniques, Vol 10, Iss 3, Pp 955-978 (2017)

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 thi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0d8a83a2bbd0558ea5d9f85640df50a
https://doi.org/10.5194/amt-2016-358