DCMEX Cloud top height estimates from stationary ground camera timelapse photos

This data is part of the Deep Convective Microphysics Experiment (DCMEX) project.

Code from https://zenodo.org/records/18939170 attempts to automatically detect the cloud base and top height from timelapse photography using:

1. Optical cloud depth to estimate the distance to max cloud thickness
2. OpenCV edge detection to estimate the cloud top location in the image
3. Thin Lens equations to use lens information, pixel information and distance information to give a pitch-corrected cloud top height estimate

This dataset is the archived results of the automated processing, containing a dataset of image pairs (images with cloud top heights labelled, paired with satellite-derived optical depth distance estimate plots. The pixel information, calculated distances to cloud and estimated cloud top and cloud base height are saved as a time series for each day in CSVs in the results folder

All the methodology is outlined in the DCMEX wiki. Follow-up work was done automatically, calculating cloud top heights from aircraft-mounted cameras in DCMEX2. Results from these works have been used in the UNRISK CDT training on comparing field observations and models https://doi.org/10.5281/zenodo.19921147