Published on 15 July 2021

Data for "An Ensemble-Based Statistical Methodology to Detect Differences in Weather and Climate Model Executables" Part 1/2

View Dataset
Zeman, Christian;Schär, Christoph

Description

Ensemble simulations from the weather and climate model COSMO. The data has been used for model verification cases in the corresponding paper (https://doi.org/10.5194/gmd-2021-248). The data is partitioned into the following parts: gpu_dycore.tar.gz
5-day ensemble (600 members) produced with COSMO 5.09 GPU version in double precision. cpu_nodycore.tar.gz
5-day ensemble (200 members) produced with COSMO 5.09 CPU version in double precision. gpu_dycore_sp.tar.gz
5-day ensemble (200 members) produced with COSMO 5.09 GPU version in single precision. The second part of the dataset with the diffusion ensembles can be found here: https://doi.org/10.5281/zenodo.6355647

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.6

FAIR Score

69%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

Assigned Domain

Subfield

Environmental Engineering

Field

Environmental Science

Domain

Physical Sciences

Confidence Score

52%

Source

Open Alex

Normalization Factors

FT

40.38

CTw

1.00

MTw

1.00