Data for "An Ensemble-Based Statistical Methodology to Detect Differences in Weather and Climate Model Executables"
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下载链接:
https://zenodo.org/record/5106466
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资源简介:
Ensemble simulations from the weather and climate model COSMO. The data has been used for model verification cases in the corresponding paper.
The data is partitioned into two parts:
10d_gpu_cpu_sp_diff.tar:
10-day ensembles produced with COSMO 5.09:
- GPU version using double precision (gpu_dycore)
- CPU version using double precision (cpu_nodycore)
- GPU version using single precision (gpu_dycore_sp)
- GPU version using double precision and a tiny amount of additional explicit diffusion (gpu_dycore_diff)
10d_update.tar:
10-day ensembles produced with COSMO 5.05 before and after a major system update of the underlying supercomputer Piz Daint:
- GPU version before update (before_update)
- GPU version after update (after_update)
Each folder in the respective .tar files contains 100 or 50 ensemble members (stored as NetCDF file) that have been produced with the corresponding executable/configuration.
创建时间:
2022-03-15



