Analysis scripts and dataset for Zhang et. al. (2025)
Description
This archive contains post-processed data and analysis scripts for Zhang et al. (2025) entitled "Improving Thermodynamic Nudging in the E3SM Atmosphere Model Version 2 (EAMv2): Strategy and Hindcast Skills on Weather Systems". The data are derived from model outputs of simulations conducted with the U.S. Department of Energy’s E3SM Atmosphere Model Version 2 (EAMv2). All simulations were performed under present-day aerosol and gas emission conditions, with prescribed perturbations to sea surface temperature (SST) and sea ice concentration (SIC). A detailed description of the model configuration and experimental design is provided in Zhang et al. (2025).
Files
Files
(1.1 GB)
| Name | Size | Download all |
|---|---|---|
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md5:e06af1f94d03eb9eafc8362a9caf2276
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133.9 MB | Download |
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md5:df9be7da0078c3e919cdb1e31280466a
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984.3 MB | Download |
Additional details
Identifiers
Related works
- Is cited by
- Dataset: 10.48550/arXiv.2512.03309 (DOI)
Funding
- United States Department of Energy
- Office of Advanced Scientific Computing Research
Dates
- Updated
-
2026-01-12Response to Reviewer
References
- Zhang, S., Leung, L. R., Harrop, B. E., Bora, A., Karniadakis, G., Shukla, K., and Zhang, K.: Improving Thermodynamic Nudging in the E3SM Atmosphere Model Version 2 (EAMv2): Strategy and Hindcast Skills on Weather Systems, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2025-4277, 2025.
- Bora, A., Zhang, S., Shukla, K., Harrop, B., Karniadakis, G. E., & Leung, L. R. (2025). Retrofitting Earth System Models with Cadence-Limited Neural Operator Updates. ArXiv. https://arxiv.org/abs/2512.03309