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Leveraging data-driven weather models for improving numerical weather
  prediction skill through large-scale spectral nudging

Leveraging data-driven weather models for improving numerical weather prediction skill through large-scale spectral nudging

8 July 2024
S. Husain
L. Šeparović
Jean-François Caron
R. Aider
Mark Buehner
Stéphane Chamberland
E. Lapalme
Ron McTaggart-Cowan
Christopher Subich
P. Vaillancourt
Jing Yang
A. Zadra
ArXivPDFHTML

Papers citing "Leveraging data-driven weather models for improving numerical weather prediction skill through large-scale spectral nudging"

2 / 2 papers shown
Title
Prithvi WxC: Foundation Model for Weather and Climate
Prithvi WxC: Foundation Model for Weather and Climate
J. Schmude
Sujit Roy
Will Trojak
Johannes Jakubik
Daniel Salles Civitarese
...
Campbell Watson
M. Maskey
Tsengdar J Lee
Juan Bernabé-Moreno
Rahul Ramachandran
VLM
AI4Cl
42
10
0
20 Sep 2024
Efficient fine-tuning of 37-level GraphCast with the Canadian global deterministic analysis
Efficient fine-tuning of 37-level GraphCast with the Canadian global deterministic analysis
Christopher Subich
36
1
0
26 Aug 2024
1