DataAssimilationBenchmarks.jl
DataAssimilationBenchmarks.jl: a data assimilation research framework. - Published in JOSS (2022)
Science Score: 100.0%
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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 2 DOI reference(s) in README and JOSS metadata -
✓Academic publication links
Links to: iop.org, joss.theoj.org -
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6 of 12 committers (50.0%) from academic institutions -
○Institutional organization owner
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✓JOSS paper metadata
Published in Journal of Open Source Software
Scientific Fields
Repository
Package Information and Documentation
Basic Info
- Host: GitHub
- Owner: cgrudz
- License: apache-2.0
- Language: Julia
- Default Branch: master
- Homepage: https://cgrudz.github.io/DataAssimilationBenchmarks.jl/dev/
- Size: 73.8 MB
Statistics
- Stars: 16
- Watchers: 3
- Forks: 5
- Open Issues: 2
- Releases: 7
Metadata Files
README.md
DataAssimilationBenchmarks.jl
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Lines of code counter (without comments or blank lines) courtesy of Tokei.
Welcome to DataAssimilationBenchmarks.jl!
Description
This is a data assimilation research code base with an emphasis on prototyping, testing and validating sequential filters and smoothers in toy model twin experiments. This code is meant to be performant in the sense that large hyper-parameter discretizations can be explored to determine hyper-parameter sensitivity and reliability of results across different experimental regimes, with parallel implementations in native Julia distributed computing.
This package currently includes code for developing and testing data assimilation schemes in the L96-s model and the IEEE 39 bus test case in the form of the effective network model model equations. New toy models and data assimilation schemes are in continuous development in the development branch. Currently validated techniques are available in the master branch.
This package supported the development of all numerical results and benchmark simulations in the manuscript A fast, single-iteration ensemble Kalman smoother for sequential data assimilation.
Documentation
Please see the up-to-date documentation synchronized with the master branch or the stable documentation for the last tagged version in the Julia General Registries.
Owner
- Name: Colin Grudzien
- Login: cgrudz
- Kind: user
- Company: Center for Western Weather and Water Extremes (CW3E))
- Website: https://cgrudz.github.io/
- Repositories: 12
- Profile: https://github.com/cgrudz
Data Assimilation Scientist
JOSS Publication
DataAssimilationBenchmarks.jl: a data assimilation research framework.
Authors
CW3E - Scripps Institution of Oceanography, University of California, San Diego, USA, Department of Mathematics and Statistics, University of Nevada, Reno, USA
CW3E - Scripps Institution of Oceanography, University of California, San Diego, USA, Department of Computer Science, Princeton University, USA
Department of Computer Science and Engineering, University of Nevada, Reno, USA
Editor
Patrick Diehl
Tags
Data Assimilation Bayesian Inference Optimization Machine learningCitation (CITATION.bib)
@misc{DataAssimilationBenchmarks.jl,
author = {Colin Grudzien <cgrudzien@ucsd.edu> and contributors},
title = {DataAssimilationBenchmarks.jl},
url = {https://github.com/cgrudz/DataAssimilationBenchmarks.jl},
version = {v0.3.0},
year = {2022},
month = {10}
}
GitHub Events
Total
- Watch event: 1
Last Year
- Watch event: 1
Committers
Last synced: 5 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| cgrudz | c****z@m****g | 379 |
| Colin J Grudzien | c****n@c****u | 102 |
| cm44@princeton.edu | c****4@p****u | 32 |
| Colin J Grudzien | c****n@o****u | 20 |
| Colin J Grudzien | c****n@l****r | 19 |
| Colin J Grudzien | c****n@l****r | 12 |
| Sukhreen Sandhu | s****s@n****u | 11 |
| ccmerchant | c****t@s****u | 5 |
| tmigot | t****t@g****m | 2 |
| Lukas Riedel | 3****n | 2 |
| Amani-Jr | a****i@n****u | 1 |
| Colin Grudzien | c****n@C****l | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 13
- Total pull requests: 19
- Average time to close issues: 5 months
- Average time to close pull requests: 2 days
- Total issue authors: 3
- Total pull request authors: 4
- Average comments per issue: 1.85
- Average comments per pull request: 0.26
- Merged pull requests: 19
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- peanutfun (10)
- tmigot (2)
- JuliaTagBot (1)
Pull Request Authors
- c-merchant (11)
- sukhreens (5)
- tmigot (2)
- peanutfun (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
- Total downloads: unknown
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 7
juliahub.com: DataAssimilationBenchmarks
Package Information and Documentation
- Homepage: https://cgrudz.github.io/DataAssimilationBenchmarks.jl/dev/
- Documentation: https://docs.juliahub.com/General/DataAssimilationBenchmarks/stable/
- License: Apache-2.0
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Latest release: 0.3.4
published about 3 years ago
Rankings
Dependencies
- JuliaRegistries/TagBot v1 composite
- actions/checkout v3 composite
- julia-actions/setup-julia latest composite
- actions/checkout v2 composite
- actions/upload-artifact v1 composite
- openjournals/openjournals-draft-action master composite