M
M. Collaud Coen
Researcher at MeteoSwiss
Publications - 33
Citations - 2353
M. Collaud Coen is an academic researcher from MeteoSwiss. The author has contributed to research in topics: Aerosol & Planetary boundary layer. The author has an hindex of 22, co-authored 29 publications receiving 2150 citations. Previous affiliations of M. Collaud Coen include University of Fribourg.
Papers
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Journal ArticleDOI
Minimizing light absorption measurement artifacts of the Aethalometer: evaluation of five correction algorithms
M. Collaud Coen,Ernest Weingartner,Arnoud Apituley,Darius Ceburnis,R. Fierz-Schmidhauser,Harald Flentje,J. S. Henzing,S. G. Jennings,Marcel M. Moerman,Andreas Petzold,Otmar Schmid,Otmar Schmid,Urs Baltensperger +12 more
TL;DR: In this article, a new numerical module is proposed to compute the optical properties for 5 complex aerosol particles at low numerical cost so that it can be implemented in atmospheric models, which is validated for observations acquired during the EUCAARI campaign on the Cabauw tower during May 2008 and its computing cost is also estimated.
Journal ArticleDOI
Characterization and intercomparison of aerosol absorption photometers: result of two intercomparison workshops
Thomas Müller,J. S. Henzing,G. de Leeuw,G. de Leeuw,G. de Leeuw,A. Wiedensohler,Andrés Alastuey,Hristo Angelov,M. Bizjak,M. Collaud Coen,J. E. Engström,Carsten Gruening,Risto Hillamo,András Hoffer,Kornélia Imre,P. Ivanow,G. Jennings,Junying Sun,Nikos Kalivitis,H. Karlsson,Mika Komppula,Paolo Laj,Paolo Laj,Shao-Meng Li,Chris Rene Lunder,Angela Marinoni,S. Martins dos Santos,Marcel M. Moerman,Andreas Nowak,John A. Ogren,Andreas Petzold,Jean-Marc Pichon,S. Rodriquez,S. Rodriquez,Sangeeta Sharma,Patrick J. Sheridan,Kimmo Teinilä,Thomas Tuch,Mar Viana,Aki Virkkula,Ernest Weingartner,R. Wilhelm,Yang Wang +42 more
TL;DR: In this paper, the authors compared the performance of different types of absorption photometers for real-time analysis of aerosol particles. But, the results showed that the current corrections of a cross sensitivity to particle scattering are not sufficient and the remaining cross sensitivities were a function of the total particle load on the filter.
Journal ArticleDOI
Saharan dust events at the Jungfraujoch: detection by wavelength dependence of the single scattering albedo and first climatology analysis
M. Collaud Coen,Ernest Weingartner,D. Schaub,Christoph Hueglin,C. Corrigan,C. Corrigan,Silvia Henning,Silvia Henning,Margit Schwikowski,Urs Baltensperger +9 more
TL;DR: In this article, the wavelength dependences of the Angstrom exponent and particularly of the single scattering albedo are determined for detecting Saharan dust events (SDE) in the high altitude site Jungfraujoch (3580ma.s.l.).
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Chemical composition of free tropospheric aerosol for PM1 and coarse mode at the high alpine site Jungfraujoch
J. Cozic,Bart Verheggen,Bart Verheggen,Ernest Weingartner,Jonathan Crosier,Keith Bower,Michael Flynn,Hugh Coe,Silvia Henning,Martin Steinbacher,Stephan Henne,M. Collaud Coen,Andreas Petzold,Urs Baltensperger +13 more
TL;DR: The chemical composition of submicron and supermicron (coarse mode) aerosol particles has been investigated at the Jungfraujoch high alpine research station (3580 m a.s.l., Switzerland) as part of the GAW aerosol monitoring program since 1999 as mentioned in this paper.
Journal ArticleDOI
Aerosol decadal trends – Part 1: In-situ optical measurements at GAW and IMPROVE stations
M. Collaud Coen,Elisabeth Andrews,Elisabeth Andrews,Ari Asmi,Urs Baltensperger,Nicolas Bukowiecki,D. Day,Markus Fiebig,A. M. Fjaeraa,Harald Flentje,Antti-Pekka Hyvärinen,Anne Jefferson,S. G. Jennings,Giorgos Kouvarakis,Heikki Lihavainen,C. Lund Myhre,William C. Malm,N. Mihapopoulos,J. V. Molenar,Colin D. O'Dowd,John A. Ogren,Bret A. Schichtel,Patrick J. Sheridan,Aki Virkkula,Ernest Weingartner,R. Weller,Paolo Laj +26 more
TL;DR: In this paper, three different methods (the seasonal Mann-Kendall test associated with the Sen's slope, the generalized least squares fit associated with an autoregressive bootstrap algorithm for confidence inter-vals, and the least-mean square fit applied to logarithms of the data) were applied to detect the long-term trends and their magnitudes.