lidarwind
lidarwind: A Python package for retrieving wind profiles from Doppler lidar observations - Published in JOSS (2023)
Science Score: 100.0%
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 4 DOI reference(s) in README and JOSS metadata -
✓Academic publication links
Links to: joss.theoj.org, zenodo.org -
✓Committers with academic emails
1 of 3 committers (33.3%) from academic institutions -
○Institutional organization owner
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✓JOSS paper metadata
Published in Journal of Open Source Software
Scientific Fields
Earth and Environmental Sciences
Physical Sciences -
87% confidence
Last synced: 4 months ago
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JSON representation
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Repository
Archived. Please check https://github.com/jdiasn/lidarwind
Basic Info
Statistics
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created almost 3 years ago
· Last pushed almost 3 years ago
Metadata Files
Readme
Changelog
Contributing
License
Citation
Authors
README.rst
=============
!!ATTENTION!!
=============
**Archived:** This repository was archived and is not maintained anymore. The lidarSuit project was renamed to lidarwind, please check https://github.com/jdiasn/lidarwind
======================
lidarSuit introduction
======================
.. image:: https://joss.theoj.org/papers/28430a0c6a79e6d1ff33579ff13458f7/status.svg
:target: https://raw.githubusercontent.com/openjournals/joss-papers/joss.04715/joss.04715/10.21105.joss.04715.pdf
.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.7026548.svg
:target: https://doi.org/10.5281/zenodo.7026548
.. image:: https://mybinder.org/badge_logo.svg
:target: https://mybinder.org/v2/gh/jdiasn/lidarSuit/main?labpath=notebooks
.. image:: https://readthedocs.org/projects/lidarsuit/badge/?version=latest
:target: https://lidarsuit.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
.. image:: https://img.shields.io/pypi/v/lidarSuit.svg
:target: https://pypi.python.org/pypi/lidarSuit/
.. image:: https://codecov.io/gh/jdiasn/lidarSuit/branch/main/graph/badge.svg?token=CEZM17YY3I
:target: https://codecov.io/gh/jdiasn/lidarSuit
lidarSuit is an open-source Python project to retrieve wind speed and direction profiles from Doppler lidar observations from the WindCube-200s, and it was developed to be easy to use. It can retrieve wind profiles from the 6-beam and DBS scanning strategies and allow users to set the signal-to-noise ratio threshold to reduce the noise. It also calculates the Reynolds stress tensor matrix elements from the 6-beam observations.
lidarSuit is a result of an effort to create an environment where it would be flexible and easy to process the observations from the WindCube Doppler lidar. Its development started in 2021 when I had to retrieve wind profiles from the 6-beam observations.
This current version focuses on the WindCube's observations, and the wind retrievals are dedicated to the 6-beam and DBS observations. However, it can be expanded to other Doppler lidar observations and scanning strategies.
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Documentation
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The lidarSuit's documentation is available at https://lidarsuit.readthedocs.io, and an introductory set of rendered notebooks are available at https://nbviewer.org/github/jdiasn/lidarSuit/tree/main/docs/examples/.
.. warning::
Beware that between versions 0.1.6 and 0.2.0, the package underwent significant refactoring. Now the classes' names
follow the Pascal case, while module names, functions and attributes follow the snake case. Codes developed using the previous
version will need revision.
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Suggestion
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If you want to try using this package without instaling first, you can do it by clicking on the binder badge.
Owner
- Name: Dias Neto
- Login: jdiasn
- Kind: user
- Location: The Netherlands
- Company: Delft University of Technology
- Repositories: 3
- Profile: https://github.com/jdiasn
JOSS Publication
lidarwind: A Python package for retrieving wind profiles from Doppler lidar observations
Published
February 16, 2023
Volume 8, Issue 82, Page 4852
Authors
Tags
meteorology Doppler wind lidar lidar remote sensing wind profile retrievalsCitation (CITATION.cff)
cff-version: 1.1.0 message: If you use this software, please cite it using these metadata. title: 'A python package for retrieving wind profiles from Doppler lidar observations' authors: - given-names: José family-names: Dias Neto affiliation: Delft University of Technology - The Netherlands orcid: https://orcid.org/0000-0002-8488-8486 - given-names: Guilherme family-names: Castelao affiliation: Scripps Institution of Oceanography - UC San Diego orcid: https://orcid.org/0000-0002-6765-0708 version: 0.1.4 doi: 10.5281/zenodo.7026548 repository-code: https://github.com/jdiasn/lidarSuit license: BSD-3-Clause
GitHub Events
Total
- Watch event: 1
Last Year
- Watch event: 1
Committers
Last synced: 5 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Dias Neto | j****n@g****m | 125 |
| Guilherme Castelão | g****e@c****t | 8 |
| Jose Dias Neto | j****e@s****l | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 4 months ago
All Time
- Total issues: 0
- Total pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total 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
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
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 11 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 5
- Total maintainers: 1
pypi.org: lidarsuit
LIDAR procedures
- Documentation: https://lidarsuit.readthedocs.io/
- License: BSD License Copyright (c) 2022, Jose Dias Neto All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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Latest release: 0.1.6
published about 3 years ago
Rankings
Dependent packages count: 6.6%
Average: 18.6%
Dependent repos count: 30.6%
Maintainers (1)
Last synced:
4 months ago
Dependencies
.github/workflows/ci.yml
actions
- actions/checkout v2 composite
- actions/setup-python v4 composite
- codecov/codecov-action v3 composite
docs/environment.yml
pypi
- gdown *
- lidarSuit *
- xrft *
environment.yml
pypi
- gdown ==4.5.1
- lidarSuit ==0.1.6
pyproject.toml
pypi
- click >=8.1.2
- gdown ~=4.5.1
- matplotlib >=3.4.3
- netCDF4 >= 1.5
- numpy >=1.20.3
- pandas >=1.3.3
- xarray >=0.19.0
- xarray-datatree ==0.0.9
- xrft >=0.3.0
requirements_dev.txt
pypi
- Click ==7.1.2 development
- Sphinx ==1.8.5 development
- black ==21.7b0 development
- bump2version ==0.5.11 development
- coverage ==4.5.4 development
- flake8 ==3.7.8 development
- pip ==21.1 development
- pytest ==6.2.4 development
- tox ==3.14.0 development
- twine ==1.14.0 development
- watchdog ==0.9.0 development
- wheel ==0.33.6 development
