no code implementations • 30 Nov 2023 • P. Jyoteeshkumar Reddy, Harish Baki, Sandeep Chinta, Richard Matear, John Taylor
This paper introduces Precipitation Attention-based U-Net (PAUNet), a deep learning architecture for predicting precipitation from satellite radiance data, addressing the challenges of the Weather4cast 2023 competition.
1 code implementation • 12 Oct 2023 • Foivos I. Diakogiannis, Suzanne Furby, Peter Caccetta, Xiaoliang Wu, Rodrigo Ibata, Ondrej Hlinka, John Taylor
By adding this "temporal" dimension, we exploit strong signal correlations between successive observations in the sequence to reduce error rates.
no code implementations • 16 Sep 2023 • Torsten Hoefler, Bjorn Stevens, Andreas F. Prein, Johanna Baehr, Thomas Schulthess, Thomas F. Stocker, John Taylor, Daniel Klocke, Pekka Manninen, Piers M. Forster, Tobias Kölling, Nicolas Gruber, Hartwig Anzt, Claudia Frauen, Florian Ziemen, Milan Klöwer, Karthik Kashinath, Christoph Schär, Oliver Fuhrer, Bryan N. Lawrence
Participants of the Berlin Summit on Earth Virtualization Engines (EVEs) discussed ideas and concepts to improve our ability to cope with climate change.
no code implementations • 27 Jul 2023 • P. Jyoteeshkumar Reddy, Sandeep Chinta, Richard Matear, John Taylor, Harish Baki, Marcus Thatcher, Jatin Kala, Jason Sharples
However, parameter sensitivity analysis (SA) of regional models for heat extremes is largely unexplored.
no code implementations • 4 Oct 2022 • Peter Baumgartner, Daniel Smith, Mashud Rana, Reena Kapoor, Elena Tartaglia, Andreas Schutt, Ashfaqur Rahman, John Taylor, Simon Dunstall
From an application perspective, we review applications of these methods to movement analytics in a general sense and across various industries.
no code implementations • 16 May 2022 • John Taylor, Wenyi Wang, Biswajit Bala, Tomasz Bednarz
We investigate the role of the optimizer in determining the quality of the model fit for neural networks with a small to medium number of parameters.
no code implementations • 21 Feb 2022 • John Taylor, Ming Feng
However, the prediction of the marine heatwaves in the southeast Indian Ocean, the Ningaloo Ni\~{n}o, shows limited skill.
no code implementations • 11 Nov 2021 • Wenyi Wang, John Taylor, Biswajit Bala
Literature reviews have shown that the LM can be very powerful and effective on moderate function approximation problems when the number of weights in the network is not more than a couple of hundred.