Samudra: An AI Global Ocean Emulator for Climate
Abstract AI emulators for forecasting have emerged as powerful tools that can outperform conventional numerical predictions. The next frontier is to build emulators for long climate simulations with skill across a range of spatiotemporal scales, a particularly important goal for the ocean. Our work...
Saved in:
| Main Authors: | Surya Dheeshjith, Adam Subel, Alistair Adcroft, Julius Busecke, Carlos Fernandez‐Granda, Shubham Gupta, Laure Zanna |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-05-01
|
| Series: | Geophysical Research Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2024GL114318 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fast climate impact emulation for global temperature scenarios with the rapid impact model emulator (RIME)
by: Edward Byers, et al.
Published: (2025-01-01) -
Klonet: a network emulation platform for the technology innovation
by: Jingzhao XIE, et al.
Published: (2021-10-01) -
Scalability Optimization of Virtualization Based Botnet Emulation Platform
by: Li Ruan, et al.
Published: (2013-10-01) -
Q8S: Emulation of Heterogeneous Kubernetes Clusters Using QEMU
by: Jonathan Decker, et al.
Published: (2025-05-01) -
Mutator Circuit for Memcapacitor Emulator Using Operational Transconductance Amplifiers
by: Mustafa Konal, et al.
Published: (2024-12-01)