Data for "An Ensemble-Based Statistical Methodology to Detect Differences in Weather and Climate Model Executables"

Name: Data for "An Ensemble-Based Statistical Methodology to Detect Differences in Weather and Climate Model Executables"
Creator: Zenodo
Published: 2021-07-15T15:57:35+08:00

Zenodo2021-07-15 更新2026-05-25 收录

数据链接：

https://zenodo.org/record/5106467 数据链接链接失效反馈

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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.

提供机构：

Zenodo

创建时间：

2021-07-15

Data for "An Ensemble-Based Statistical Methodology to Detect Differences in Weather and Climate Model Executables"

资源简介：

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