Supplementary Information to: Increasing the spatial resolution of cloud property retrievals from Meteosat SEVIRI by use of its high–resolution visible channel: Evaluation of candidate approaches with MODIS observations

This repository contains the Python programmes and datasets used for

the research described in the following paper:
https://doi.org/10.5194/amt-2019-334

It has been prepared as supplementary information to the final paper.

Note that the actual Cloud Property Retrieval (CPP) which would be
required for full reproducability of the results cannot be made
available by the authors, that the code included here is based on Python2, and that
paths to the dataset have to be adapted in the code.

The repository consists of three separate parts/directories:

* method: Python routines for generating the cloud property retrieval
  input based on the Meteosat and MODIS data

* analysis: Python routines for analysing the different experiments
  from the CPP outputs, producing the figures and calculating the
  comparison statistics

* datasets: the various input and output datasets used for the
  analyses of the paper