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1. a-guide-to-optimised-spatiotemporal-data-co-location-by-mutual-information-maximisation a-guide-to-optimised-spatiotemporal-data-co-location-by-mutual-information-maximisation Public

   A demonstration of how mutual information between measurements from different sources can be used to determine the co-location parametrisation with which data is matched between the data sources fo…

   Python

2. TopographicalHexagons TopographicalHexagons Public

   Here I will take the SRTM datasets and generate topographical maps from them that can be reshaped into hexagons. From there, I will aim to create a 3D-printable file containing the topographical data.

   Jupyter Notebook 1

3. dda_atmos dda_atmos Public

   Python package to implement the Density Dimension Algorithm for atmospheric data.

   Python 1

4. icecaps-summit/MPL-processing icecaps-summit/MPL-processing Public

   Convert .mpl.gz archived lidar files to Summit-ingested format .cdf files.

   Jupyter Notebook 1

5. sat-val-framework sat-val-framework Public

   Framework for implementing satellite validation. Contains class definitions for handling raw data, collocation events, quality checks and data homogenisation.

   Python