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Clouddrift

@clouddrift.bsky.social

Clouddrift is a 🐍 Python package helping accelerates the use of Lagrangian data for ☁ atmospheric, 🌊 oceanic, and 🌎 climate sciences! https://clouddrift.org | https://github.com/Cloud-Drift/clouddrift

9 Followers  |  1 Following  |  13 Posts  |  Joined: 25.04.2024  |  1.7535

Latest posts by clouddrift.bsky.social on Bluesky

And if this is a project you would like to contribute to, check out our GitHub repo: lnkd.in/gU_93Hwc

A special thanks to those who contributed to this release: Shane Elipot & Philippe Miron!

05.06.2025 18:03 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

And with the newly improved Datasets webpage (lnkd.in/gBTh4yeY), it is easier to find the data you want to use and start your project with links to the get-started Jupyter notebooks that walk you through how to use CloudDrift!

05.06.2025 18:03 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

Both data sets provide Lagrangian data that allows us to track previous hurricanes and analyze properties of these hurricanes. With just a few lines of Python code, we can download the data and start analyzing these data.

05.06.2025 18:02 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

CloudDrift has access to two such datasets:

- HURDAT2: The HURricane DATa 2nd generation
- IBTrACS: The International Best Track Archive for Climate Stewardship

05.06.2025 18:02 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
Post image

With the start of the Atlantic hurricane season and the release of CloudDrift v0.45.0 (lnkd.in/g8864hXD), I want to highlight the hurricane and cyclone datasets already accessible with CloudDrift.

05.06.2025 18:02 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 1
LinkedIn This link will take you to a page that’s not on LinkedIn

And if this is a project you would like to contribute to, check out our GitHub repo: lnkd.in/gU_93Hwc

A special thanks to those who contributed to this release: Shane Elipot & Philippe Miron!

05.06.2025 18:01 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
LinkedIn This link will take you to a page that’s not on LinkedIn

And with the newly improved Datasets webpage (lnkd.in/gBTh4yeY), it is easier to find the data you want to use and start your project with links to the get-started Jupyter notebooks that walk you through how to use CloudDrift!

05.06.2025 18:00 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

Both data sets provide Lagrangian data that allows us to track previous hurricanes and analyze properties of these hurricanes. With just a few lines of Python code, we can download the data and start analyzing these data.

05.06.2025 18:00 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

CloudDrift has access to two such datasets:

- HURDAT2: The HURricane DATa 2nd generation
- IBTrACS: The International Best Track Archive for Climate Stewardship

05.06.2025 17:59 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
LinkedIn This link will take you to a page that’s not on LinkedIn

New Get-Started Notebooks:
Our approach to jumpstart usage is to provide get-started Jupyter notebooks that walk through different datasets and functionality of Clouddrift. We added two new get-started notebooks two datasets:
- IBTrACS (lnkd.in/gcCtVeB3)
- GLAD (lnkd.in/g_6RDHpZ)

07.03.2025 15:39 β€” πŸ‘ 1    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

A New Dataset Adapter:
Clouddrift uses adapters to access its datasets, making it easy to get the data you want. We added a new adapter that gives Clouddrift access to the IBTrACS dataset, which is a collection of global tropical cyclone data.

07.03.2025 15:39 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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Clouddrift (lnkd.in/gCRtUE6e) has a new version release, v0.44.0! Below are the highlights:

07.03.2025 15:39 β€” πŸ‘ 2    πŸ” 2    πŸ’¬ 1    πŸ“Œ 1
Preview
joss-papers/joss.06705/10.21105.joss.06705.pdf at joss.06705 Β· openjournals/joss-papers Accepted JOSS papers. Contribute to openjournals/joss-papers development by creating an account on GitHub.

We submitted a πŸ“„ paper describing our 🐍 #python #clouddrift package to @JOSS_TheOJ (fosstodon.org/@JOSS)

Check it out below!

t.co/U8c8mhpwnD

01.05.2024 21:05 β€” πŸ‘ 3    πŸ” 1    πŸ’¬ 0    πŸ“Œ 1

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