ML-SPERE Codebase for TROPOMI Methane Plume Emission Rate Estimation (v1.0.4, Publication Release, for use within SRON)

Zenodo (CERN European Organization for Nuclear Research)

Abstract

This repository contains a codebase that uses ML-SPERE (Machine Learning–Superemitting Plume Emission Rate Estimate), a trained convolutional neural network, to generate posterior distributions of methane plume emission rates from TROPOMI observations. The methodology and workflow are described in the associated publication. Due to dependencies on non-public codebases and models, this repository is not intended for standalone use outside SRON. It is provided to support transparency in relation to the accompanying publication.

Authors 1

1. Clayton Roberts corresponding Aachen SRON Netherlands Institute for Space Research

   Space Research Organisation Netherlands

   Affiliation as printed

   SRON Netherlands Institute for Space Research