'sigmab' and 'DWR' folders contain modeling results for backscatter cross sections (= sigmab) and triple-frequency radar signatures given by dual-wavelength ratios (= DWRs) of equivalent radar reflectivity factors, determined for representing snowflakes by collections of randomly distributed ice spheres inside the (spherical) snowflake bounding volume according to Sect. 3 of Gergely et al. (2017).

In the first line of each .txt file, a description of the included data is given as a comment indicated by '#'. Included Python files give examples for data visualization. Variable names in comments and Python files follow the notation of Gergely et al. (2017).

The files 'DWR...fullrange...txt' contain DWRs that allow visualization of the total range of all modeled snowfall triple-frequency radar signatures given by either DWR_10_35 and DWR_35_94 or by DWR_14_35 and DWR_35_94 (numbers indicate frequencies in GHz). These files only represent one set of DWRs derived from xi(D) relationships following Eq. (7) of Gergely et al. (2017) that can be used for visualizing the total range of modeled snowfall triple-frequency radar signatures. Other combinations of xi(D) relationships could also be used to visualize roughly the same total range.

If any of the data is used for your research, please include a reference to Gergely et al. (2017), where the modeling method was described and the 'sigmab' and 'DWR' modeling results were first presented.


Reference:

Gergely, M., Cooper, S. J., and Garrett, T. J.: Using snowflake surface-area-to-volume ratio to model and interpret snowfall triple-frequency radar signatures, Atmos. Chem. Phys., 17, 12011–12030, 2017.

  
