Generating physically-consistent high-resolution climate data with hard-constrained neural networks
- Paula Harder
- Qidong Yang
- et al.
- 2022
- NeurIPS 2022
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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33 results for Campbell Watson
Physics-Constrained Deep Learning for Climate Downscaling
- Paula Harder
- Qidong Yang
- et al.
- 2022
- NeurIPS 2022
Extreme Precipitation Seasonal Forecast Using a Transformer Neural Network
- 2021
- ICML 2021
Improving extreme weather generation and spatial variability of weather generators based on resampling using the Direct Sampling algorithm
- Jorge Luis Guevara Diaz
- Maria Julia De Castro Villafranca Garcia
- et al.
- 2022
- AGU Fall 2022
Hierarchical Weather Generators: A Comparison of Different Design Structures on Precipitation Simulation Performance
- Chinedum Eluwa
- Campbell Watson
- et al.
- 2022
- AGU Fall 2022
Generating physically-consistent high-resolution climate data with hard-constrained neural networks
- Paula Harder
- Qidong Yang
- et al.
- 2022
- AGU Fall 2022
Quantizing Reconstruction Losses for Improving Weather Data Synthesis
- 2024
- Nature Scientific Reports
A comparative study of stochastic and deep generative models for multisite precipitation synthesis
- Bianca Zadrozny
- Dario Augusto Borges Oliveira
- et al.
- 2021
- ICML 2021
Controlling Weather Field Synthesis Using Variational Autoencoders
- Dario Augusto Borges Oliveira
- Jorge Luis Guevara Diaz
- et al.
- 2021
- ICML 2021
Decadal Forecasts with ResDMD: a Residual DMD Neural Network
- Eduardo Rodrigues
- Bianca Zadrozny
- et al.
- 2021
- ICML 2021