Using AI/ML to Tackle Climate Change

Challenge Background

The World Meteorological Organization forecasts that the current greenhouse gas (GHG) emissions trend will increase global temperature by 3-5 degrees C by 2100 (Reuters 2018). This would far overshoot the 2-degree limit pledged by the 2015 Paris climate accord (COP 21) and might have a catastrophic impact (Steffen et al. 2018; World Bank 2012).

In order to track progress towards the global climate targets, the parties that signed the Paris Climate Agreement will regularly report their anthropogenic carbon dioxide (CO2) emissions based on energy statistics and CO2 emission factors. Independent evaluation of this self-reporting system is a fast-growing research topic.

This project aims to study the value of satellite observations of the column CO2 concentrations to estimate CO2 anthropogenic emissions within five years of the Orbiting Carbon Observatory-2 (OCO-2) retrievals over and around Kenya.

Project Timeline

What you'll learn

1. Data Collection. 2. Data Cleaning. 3. Data Analysis. 4. Data Visualization. 5. Building AI models