Articles | Volume 7, issue 5
https://doi.org/10.5194/gmd-7-2303-2014
https://doi.org/10.5194/gmd-7-2303-2014
Development and technical paper
 | 
10 Oct 2014
Development and technical paper |  | 10 Oct 2014

A robust method for inverse transport modeling of atmospheric emissions using blind outlier detection

M. Martinez-Camara, B. Béjar Haro, A. Stohl, and M. Vetterli

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Cited articles

Bocquet, M.: High-resolution reconstruction of a tracer dispersion event: application to ETEX, Q. J. Roy. Meteorol. Soc., 133, 1013–1026, 2007.
Cook, R. D.: Detection of Influential Observation in Linear Regression, Technometrics, 19, 15–18, 1977.
CTBTO: Preparatory Commision for the Comprehensive Nuclear-Test-Ban Treaty Organization, available at: www.ctbto.org (last access: 8 October 2014), 2014.
Draxler, R., Dietz, R., Lagomarsino, R., and Start, G.: Across North America tracer experiment (ANATEX): Sampling and analysis, Atmos. Environ. A-Gen., 25, 2815–2836, 1991.
Fischler, M. A. and Bolles, R. C.: Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography, Comm. ACM, 24, 381–395, 1981.
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