2D cloud tracking algorithm in Python/Numba, based on:
Heus, T., & Seifert, A. (2013). Automated tracking of shallow cumulus clouds in large domain, long duration large eddy simulations. Geoscientific Model Development, 6(4), 1261.
For running the cloud tracking on MicroHH output, the following cross-sections are required:
crosslist = qlqipath,qlqibase,qlqitop,qlqicore_max_thv_prime
Two versions are currently available:
cloud_tracking.pyuses the same recursive method as Heus & Seifert, which Python does not like. It requires setting the limit on recursive calls very high (especially when using time tracking), which apparently does not work on Windows and Mac OS.cloud_tracking_v2.pyuses a non-recursive method, which should work on all systems. The results are perfectly identical to the output fromcloud_tracking.py.