Insight into cloud processes from unsupervised classification with a rotationally invariant autoencoder

1 code implementation • 2 Nov 2022 • Takuya Kurihana, James Franke, Ian Foster, Ziwei Wang, Elisabeth Moyer

Clouds play a critical role in the Earth's energy budget and their potential changes are one of the largest uncertainties in future climate projections.

Cloud Classification with Unsupervised Deep Learning

no code implementations • 30 Sep 2022 • Takuya Kurihana, Ian Foster, Rebecca Willett, Sydney Jenkins, Kathryn Koenig, Ruby Werman, Ricardo Barros Lourenco, Casper Neo, Elisabeth Moyer

We present a framework for cloud characterization that leverages modern unsupervised deep learning technologies.

Classification

AICCA: AI-driven Cloud Classification Atlas

1 code implementation • 29 Sep 2022 • Takuya Kurihana, Elisabeth Moyer, Ian Foster

Clouds play an important role in the Earth's energy budget and their behavior is one of the largest uncertainties in future climate projections.

Classification

Data-driven Cloud Clustering via a Rotationally Invariant Autoencoder

no code implementations • 8 Mar 2021 • Takuya Kurihana, Elisabeth Moyer, Rebecca Willett, Davis Gilton, Ian Foster

Advanced satellite-born remote sensing instruments produce high-resolution multi-spectral data for much of the globe at a daily cadence.

Clustering