schulz_et_al_james_2023
Supplementary material in support of Schulz et al. (2023)
Science Score: 57.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 14 DOI reference(s) in README -
○Academic publication links
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (6.1%) to scientific vocabulary
Repository
Supplementary material in support of Schulz et al. (2023)
Basic Info
- Host: GitHub
- Owner: observingClouds
- License: gpl-3.0
- Language: Python
- Default Branch: main
- Homepage: https://doi.org/10.1029/2023MS003648
- Size: 222 KB
Statistics
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 2
Metadata Files
README.md
Supplemental material to Schulz et al. (2023)
This repository contains the analysis scripts of Schulz et al. (2023) and is archived under the DOI 10.5281/zenodo.7591545.
The entire analysis can be reproduced (sufficient compute resources provided) with
git clone schulz_et_al_JAMES_2023
mamba env create -n schulz_et_al_2023 -f environment.yaml
dvc repro
Parts of the analysis ( see dvc.yaml for partial analysis names ) can be reproduced by e.g.
git clone schulz_et_al_JAMES_2023
mamba env create -n schulz_et_al_2023 -f environment.yaml
dvc repro fig14_pattern_cloudfraction
The exact versions of packages that have been used are provided in environment.yaml.pinned
The model output can be accessed via the EUREC4A-Intake-catalog but is also archived on the DKRZ tape. The tape-catalog provides easy access to those files.
Owner
- Name: Hauke Schulz
- Login: observingClouds
- Kind: user
- Location: Seattle
- Website: observingclouds.github.io
- Twitter: meteo_hauke
- Repositories: 15
- Profile: https://github.com/observingClouds
Climate scientist
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Schulz"
given-names: "Hauke"
title: "Supporting material of Schulz et al. (2023)"
abstract: "Supporting material of Schulz et al. (2023)"
license: GPL-3.0
doi: 10.5281/zenodo.7591545
repository-code: "https://github.com/observingClouds/schulz_et_al_JAMES_2023"
preferred-citation:
type: article
authors:
- family-names: "Schulz"
given-names: "Hauke"
- family-names: "Stevens"
given-names: "Bjorn"
doi: "10.1029/2023MS003648"
journal: "Journal of Advances in Modeling Earth Systems"
month: 10
title: "Evaluating Large-Domain, Hecto-Meter, Large-Eddy Simulations of Trade-Wind Clouds Using EUREC4A Data"
volume: 15
issue: 10
year: 2023
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