meso-morphs
Collection of mesoscale cloud morphologies
Science Score: 67.0%
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 3 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (10.3%) to scientific vocabulary
Repository
Collection of mesoscale cloud morphologies
Basic Info
- Host: GitHub
- Owner: ISSI-CONSTRAIN
- Language: Python
- Default Branch: main
- Size: 73.2 KB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 1
Metadata Files
README.md
Mesoscale classifications
Description
This repository contains a collection of post-processed mesoscale cloud classifications.
Installation of dependencies
The dependencies are listed in environment.yml and can be installed e.g. with conda or mamba:
mamba env create -f environment.yml
or directly into an existing python environment with
mamba install python intake-xarray xarray s3fs "intake<2.0.0"
mamba can be downloaded at https://github.com/conda-forge/miniforge/releases/
Usage
To access the mesoscale cloud morphology datasets, the following lines are sufficient (after installing any dependencies):
python
import intake
cat = intake.open_catalog("https://raw.githubusercontent.com/ISSI-CONSTRAIN/meso-morphs/main/catalog/catalog.yaml")
ds = cat.SGFF.to_dask()
Further catalog entries, like those referencing the MCC and MEASURES dataset, can be listed with
list(cat)
Non-python usage
In case the dataset will be handled in a software environment different to python, it might be easiest to store a local copy of the dataset by running the above mentioned python instructions and save the datasets as netCDF files with:
python
ds.to_netcdf("SGFF_classifications.nc")
Reproducability / Updating of datasets
- To reproduce the workflow, access to the UW olympus cluster is needed
- Please set your olympus username as environment variable
export SSH_USERNAME=myname dvc reprodownloads the original files and updates the output files- To push files to remote, please
export AWS_ACCESS_KEY_ID=${API Key}andexport AWS_SECRET_ACCESS_KEY='mysecret' - Only files in the output directory should be pushed with
dvc push --remote aws data/output/Daily*
Owner
- Name: ISSI-CONSTRAIN
- Login: ISSI-CONSTRAIN
- Kind: organization
- Repositories: 1
- Profile: https://github.com/ISSI-CONSTRAIN
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: Eastman
given-names: Ryan
- family-names: Schulz
given-names: Hauke
- family-names: McCoy
given-names: Isabel
- family-names: Wood
given-names: Rob
date-released: '2024-02-09'
doi: 10.5281/zenodo.10641821
license:
- cc0-1.0
title: Joint Mesoscale Cloud Morphology Dataset
type: dataset
version: v2024.02.1
url: "https://github.com/ISSI-CONSTRAIN/meso-morphs"
preferred-citation:
type: article
authors:
- family-names: Eastman
given-names: Ryan
- family-names: Schulz
given-names: Hauke
- family-names: McCoy
given-names: Isabel
- family-names: Wood
given-names: Rob
doi: "https://doi.org/10.5194/egusphere-2023-2118"
journal: "EGUsphere [preprint]"
title: "A Survey of Radiative and Physical Properties of North Atlantic Mesoscale Cloud Morphologies from Multiple Identification Methodologies"
year: 2024
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Dependencies
- actions/checkout v3 composite
- walbo/validate-json v1.1.0 composite