Gallery of Statistical Analysis

June 16, 2023 ยท View on GitHub


A series of Jupyter Notebooks are provided to demonstrate various types of statistical analysis that can be applied to the tracking outputs.

1. Maps

MCS track density maps (South America):

  • MCS track density (annual):

  • MCS initiation counts (DJF):

MCS track density maps by season (Central U.S.):

  • MCS track density (JJA):

  • MCS initiation counts (JJA):

MCS precipitation maps:

  • MCS rain amount (annual):

  • MCS rain fraction (annual):

  • MCS rain frequency (annual):

MCS precipitation maps (no differencing):

  • MCS rain amount (MAM):

  • MCS rain fraction (MAM):

  • MCS rain frequency (MAM):

  • MCS rain intensity (MAM):

2. Track Properties

MCS track properties (by season):

  • MCS number seasonal cycle with interannual variability:

  • MCS property PDFs:

MCS track properties (land vs. ocean):

  • MCS property PDFs (land [top] vs. ocean [bottom]):

  • Composite lifecycle evolution for short-lived vs. long-lived MCS:

  • MCS joint kernel density estimates:

3. Diurnal Cycle

MCS precipitation diurnal cycle:

  • Precipitation Hovmoller diagram:

  • MCS vs. non-MCS precipitation diurnal cycle: