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07/14/2023
FaIRGP: A Bayesian Energy Balance Model for Surface Temperatures Emulation
Emulators, or reduced complexity climate models, are surrogate Earth sys...
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12/06/2022
Exploring Randomly Wired Neural Networks for Climate Model Emulation
Exploring the climate impacts of various anthropogenic emissions scenari...
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11/22/2022
Pyrocast: a Machine Learning Pipeline to Forecast Pyrocumulonimbus (PyroCb) Clouds
Pyrocumulonimbus (pyroCb) clouds are storm clouds generated by extreme w...
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11/16/2022
Identifying the Causes of Pyrocumulonimbus (PyroCb)
A first causal discovery analysis from observational data of pyroCb (sto...
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05/06/2022
AODisaggregation: toward global aerosol vertical profiles
Aerosol-cloud interactions constitute the largest source of uncertainty ...
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10/28/2021
Using Non-Linear Causal Models to Study Aerosol-Cloud Interactions in the Southeast Pacific
Aerosol-cloud interactions include a myriad of effects that all begin wh...
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12/17/2020
RainBench: Towards Global Precipitation Forecasting from Satellite Imagery
Extreme precipitation events, such as violent rainfall and hail storms, ...
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11/13/2020
NightVision: Generating Nighttime Satellite Imagery from Infra-Red Observations
The recent explosion in applications of machine learning to satellite im...
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08/24/2020
Machine learning for weather and climate are worlds apart
Modern weather and climate models share a common heritage, and often eve...
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11/29/2019
Detecting anthropogenic cloud perturbations with deep learning
One of the most pressing questions in climate science is that of the eff...
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11/05/2019