Improving sub-seasonal to seasonal forecast using a time-series transformer
- Daniel Salles Civitarese
- Mohamed Akram Zaytar
- et al.
- 2022
- AGU Fall 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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13 results for Daniel Salles Civitarese
A toolbox for weather and climate data discovery and extreme event analysis
- Zaheed Gaffoor
- Zubeida Patel
- et al.
- 2022
- AGU Fall 2022
Machine learning derived sub-seasonal to seasonal extremes
- 2023
- NeurIPS 2023
Extreme Precipitation Seasonal Forecast Using a Transformer Neural Network
- 2021
- ICML 2021
Towards state-of-the-art nowcasting with a foundational AI model: an ECCC-IBM collaboration
- Dominique Brunet
- Didier Davignon
- et al.
- 2024
- CMOS Congress 2024
Managing Data Traceability in the Data Lifecycle for Deep Learning Applied to Seismic Data
- Renan Francisco Santos Souza
- Emilio Ashton Vital Brazil
- et al.
- 2019
- ACE 2019
On the development of artificial intelligence downscaling applications for medium-range forecasts of weather elements at CCMEP
- Christian Saad
- Dominique Brunet
- et al.
- 2024
- CMOS Congress 2024
S2S Extreme Weather Featurization: A Global Skill Assessment Study
- Zubeida Patel
- Gciniwe Simphiwe Baloyi
- et al.
- 2022
- EGU 2022
ML-based Probabilistic Prediction of 2m Temperature and Total Precipitation
- Mohamed Akram Zaytar
- Bianca Zadrozny
- et al.
- 2022
- EGU 2022
Machine learning derived sub-seasonal to seasonal extremes
- 2023
- SBBD 2023