This repository contains the code and data used in the study "Relating Multi-Scale Plume Detection and Area Estimates of Methane Emissions: A Theoretical and Empirical Analysis" by Sudhanshu Pandey et al. (2024). The code is designed to process and analyze methane emissions data from various sources, including TROPOMI satellite observations, airborne plume measurements, and bottom-up inventories. The framework is built to facilitate the assimilation of plume data with satellite and inventory priors, providing an approach to methane emission estimation. The code is organized into modules for data processing, inversion algorithms, and visualization. The main analysis workflow is provided in a Jupyter notebook, which guides users through the steps of loading data, performing assimilation, and visualizing results. A more up-to-date version of the code is available at: https://github.com/sudshu/PAM-Methane