Second-generation downscaled earth system model data using generative machine learningOEDI
The second-generation Sup3rCC dataset provides high-resolution meteorological data generated through the downscaling of multiple earth system models (ESMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6). This downscaling is performed through application of a generative machine learni...
Saved in:
| Main Authors: | Grant Buster, Brandon N. Benton, Deeksha Rastogi, Shih-Chieh Kao, Guilherme Castelao, Jordan Eisenman |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
|
| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340925005013 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The atmosphere : an introduction to meteorology /
by: Lutgens, Frederick K.
Published: (2004) -
REDUCING INFLUENCE OF ADVERSE EXTERNAL CONDITIONS IN THE LOCAL AIRPORTS
by: A. L. Rybalkina, et al.
Published: (2018-07-01) -
Automation and Modernization of Meteorological Observation Network in Nigeria
by: A. Hussaini, et al.
Published: (2019-08-01) -
SPACE WEATHER AND CLIMATE PHENOMENA IN THE ATMOSPHERE
by: A. A. Adzhieva, et al.
Published: (2022-07-01) -
Enhancing Severe Weather Prediction With Microwave All‐Sky Radiance Assimilation: The 10 August 2020 Midwest Derecho
by: Yunji Zhang, et al.
Published: (2024-01-01)