9 citations · 13 across the 5 of their papers we have counts for
6 papers
Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context
Oussama Boussif, Ghait Boukachab, Dan Assouline +4
Solar power harbors immense potential in mitigating climate change by substantially reducing CO emissions. Nonetheless, the inherent variability of solar irradiance poses a s…
Global Reduction in Ship-tracks from Sulfur Regulations for Shipping Fuel
Tianle Yuan, Hua Song, Robert Wood +7
Ship-tracks are produced by ship-emitted aerosols interacting with marine low clouds. Here we apply deep learning models on satellite data to produce the first multi-year global cl…
Modeling Cloud Reflectance Fields using Conditional Generative Adversarial Networks
Victor Schmidt, Mustafa Alghali, Kris Sankaran +2
We introduce a conditional Generative Adversarial Network (cGAN) approach to generate cloud reflectance fields (CRFs) conditioned on large scale meteorological variables such as se…
Artificial Intelligence Based Cloud Distributor (AI-CD): Probing Low Cloud Distribution with a Conditional Generative Adversarial Network
Tianle Yuan
Here we introduce the artificial intelligence-based cloud distributor (AI-CD) approach to generate two-dimensional (2D) marine low cloud reflectance fields. AI-CD uses a conditiona…
Future Decline of African Dust: Insights from the Recent Past and Paleo-records
Tianle Yuan, Hongbin Yu, Mian Chin +1
African dust exhibits strong variability on a range of time scales. Here we show that the interhemispheric contrast in Atlantic SST (ICAS) drives African dust variability on intera…
Scaling in stratocumulus fields: an emergent property
Tianle Yuan
Marine stratocumulus clouds play a critical role in the Earth's climate system. They display an amazing array of complex behaviors at many different spatiotemporal scales. Precipit…