Search Results for author:
Found 4 papers, 0 papers with code
Difference Learning for Air Quality Forecasting Transport Emulation
Due to a recent increase in extreme air quality events, both globally and locally in the United States, finer resolution air quality forecasting guidance is needed to effectively adapt to these events.
A Generative Adversarial Network for Climate Tipping Point Discovery (TIP-GAN)
We describe an adversarial game to explore the parameter space of these models, detect upcoming tipping points, and discover the drivers of tipping points.
Using Artificial Intelligence to aid Scientific Discovery of Climate Tipping Points
We describe how this methodology can be applied to the discovery of climate tipping points and, in particular, the collapse of the Atlantic Meridional Overturning Circulation (AMOC).
Towards Indirect Top-Down Road Transport Emissions Estimation
In this work, we develop machine learning models that use satellite imagery to perform indirect top-down estimation of road transport emissions.
