1Department of Physics and Atmospheric Science, Dalhousie
University, Halifax, B3H 3J5, Canada
2Environment Canada, Downsview, Toronto, M3H 5T4, Canada
3Department of Atmospheric Science, Colorado State University, Fort
Collins, CO 80523, USA
anow at: National Research Council Canada, Ottawa, Ontario, K1A 0R6,
Received: 30 Jan 2014 – Discussion started: 10 Apr 2014
Abstract. The analysis of aircraft-based measurements of clouds is critical for studies of aerosol and of clouds. Many such measurements have been taken, but it is difficult to compare such data across instruments, flights and campaigns. We present a new open-source software program, SAMAC (Software for Airborne Measurements of Aerosol and Clouds), that may enable a more systematic and comparable approach to the analysis of aerosol–cloud–precipitation data. The software offers a cooperative and reproducible approach to the analysis of aircraft measurements of clouds across campaigns. SAMAC is an object-oriented software program in which a cloud is an object; all the data related to a cloud is contained in the cloud object. The cloud objects come with built-in methods and functions that allow for the quick generation of basic plots and calculations, SAMAC provides a quick view of the data set and may be used to compare clouds and to filter for specific characteristics. Other researchers can readily use already submitted algorithms once their data is placed in the cloud structure provided, and they can contribute their own algorithms to the software for others to see and use. This approach would improve comparability, reproducibility and transparency by allowing others to replicate results and test the same algorithms on different data. SAMAC can be downloaded at https://github.com/StephGagne/SAMAC/releases.
Revised: 02 Feb 2016 – Accepted: 02 Feb 2016 – Published: 24 Feb 2016
Gagné, S., MacDonald, L. P., Leaitch, W. R., and Pierce, J. R.: Software to analyze the relationship between aerosol, clouds, and precipitation: SAMAC, Atmos. Meas. Tech., 9, 619-630, doi:10.5194/amt-9-619-2016, 2016.