Collection of notebooks about quantitative finance, with interactive python code.

Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory …

Classical Aerodynamics of potential flow using Python and Jupyter Notebooks

A collection of interactive lecture notes and assignments in Jupyter notebook format.

JupyterBook source for The Climate Laboratory

Figure and data generation for Chapter 7 of the IPCC's Sixth Assessment Report, Working Group 1 (plus assorted other contributions)

Retrieves 3D cloud properties from multi-angle images of reflected solar radiation

Repository associated with the NASA ARSET Training, "Applications of Carbon Dioxide Measurements for Climate-Related Studies"

A simple atmospheric model

A python implementation of the Atmospheric Lidar Data Augmentation (ALiDAn) framework and a learning pipeline utilizing both ALiDAn's and raw data.

Over the past few decades, due to human activities, industrialization, and urbanization, air pollution has become a life-threatening factor in many countries around the world. Air pollution has a d…

Cloud Condensation Nuclei (CCN) activity analysis tool.

Jupyter notebook used for the "Radiative Transfer practical using Py6S" session for the NERC-ARF workshop held at British Antarctic Survey Cambridge, 13-14th March 2018.

Python code to calculate the Air Pollution Hotspots

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

This code was used to analyse the impact of changing the CCN and INP schemes in ICON as part of my PhD thesis