This repository contains the code for climate variable downscaling using conditional normalizing flows. Work done during internship @ MILA AI Research. 🛰️
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Updated
Oct 6, 2024 - Jupyter Notebook
This repository contains the code for climate variable downscaling using conditional normalizing flows. Work done during internship @ MILA AI Research. 🛰️
This paper focuses on the albedo change, water cycle effect and carbon sequestrated by planting desert areas combined with reaching net-zero by 2100. We aim at predicting a global estimate of the impact on temperature.
A repository with examples for using RBIG for climate informatics. Results are part of the 2019 Climate Informatics conference.
A climate sustainability model in which we sought to assess whether planting trees in desert areas could have a significant impact in reducing global average temperature (GAT) by sequestering CO2 emissions from the atmosphere.
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