output_2M_gamma: AMP with separate cloud and rain categories, two moments predicted for each category output_3M_gamma: AMP with separate cloud and rain categories, three moments predicted for each category output_4M_gamma: AMP with a single liquid category with an assumed bimodal gamma DSD, four moments predicted for the category output_4M-v7: AMP with a single liquid category with nonparametric distributions, four moments predicted for the category output_6M_gamma: AMP with a single liquid category with an assumed bimodal gamma DSD, six moments predicted for the category bin_rates_cc2: contains the bin DSD library used to construct AMP-NP look up tables. Also contains the process rates (see below) corresponding to each DSD. Final Scripts: Contains all Matlab scripts needed to make Figures 1-9 in the manuscript. Folder names indicate the initial conditions of the unimodal gamma DSD. nu: shape parameter, N: number concentration, M: mass concentration. The number is an index into the array of values used. These arrays are nu: [1, 3, 5, 7, 9, 11, 13, 15]; N: [50, 100, 200, 400, 800, 1600] /cm3. M: [1, 2, 3, 4, 5] g/kg. cXXXXtypeX.txt files: Each line is the -3rd - 12th moments of the cloud and rain categories. This is diagnostic and available regardless of the AMP configuration. One line for each second of the simulation. bin.txt files: Same as above except for the corresponding BIN simulation. cparamsXXXXtypeX.txt files: Distribution parameters for each second. cpdfXXXXtypeX.txt files: Explicit DSD at the end of the timestep. Dimensions are d(mass mixing ratio)/d log diameter. Bin width is log(2)/3. Bin radii (cm) and masses (g) are given in masses_radii.mat binpdf.txt files: Same as above except for the corresponding BIN simulation. procrates.txt files: moment tendencies for moments -3rd to 9th (columns) for self-collection of cloud, self-collection of rain, autoconversion cloud, autoconversion rain, accretion cloud, accretion rain (rows). Rows repeat for each time step.