Articles | Volume 9, issue 2
Research article
24 Feb 2016
Research article |  | 24 Feb 2016

Software to analyze the relationship between aerosol, clouds, and precipitation: SAMAC

S. Gagné, L. P. MacDonald, W. R. Leaitch, and J. R. Pierce

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Cited articles

Anderson, T. L. and Ogren, J. A.: Determining Aerosol Radiative Properties Using the TSI 3563 Integrating Nephelometer, Aerosol Sci. Tech. 29, 57–69,, 1998.
Atmospheric Science Software Applications – UCAR Community Tools (2009): available at: (last access: 1 January 2016), 2009.
Barnes, N.: Publish your computer code: it is good enough, Nature, 467, p. 753, 2010.
Beazley, D. M.: Python Essential Reference, 4th Ed., Developper's Library, Addison-Wesley, Boston, USA, 2009.
Bond, T. C., Charlson, R. J., and Heintzenberg, J.: Qunatifying the emission of light-absorbing particles: Measurements tailored to climate studies, Geophys. Res. Lett., 25, 337–340, 1998.
Short summary
Measurements of clouds with an aircraft are essential to understand how clouds form and how they affect the Earth's climate. These measurements are used in climate models to help predict how our climate might develop in the next century. Aircraft measurements are, however, difficult for modellers to interpret because the way they were acquired and analyzed varies from one team of scientists to the next. We present a software platform for scientists to share and compare their analysis tools.