clouddrift
iris
clouddrift | iris | |
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1 | 1 | |
32 | 617 | |
- | 1.6% | |
8.8 | 9.5 | |
2 days ago | 6 days ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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clouddrift
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Show HN: Clouddrift (Python lib) – 170 years of Cyclone Track Data
Hey HN! I've recently taken on the role of lead developer for the clouddrift Python library, and I'd like to share a new dataset integration we've recently added. The purpose of the clouddrift library is to ease the process of working with ragged array data structures, particularly the ones encountered with Lagrangian datasets in atmospheric, oceanic, and climate sciences.
For those who might not be familiar, Lagrangian datasets track the movement of sensing platforms or particles (or in the case below, atmospheric phenomena like cyclones) through space and time, providing a detailed path of their journey. This is in contrast to Eulerian datasets, which focus on changes in a fixed location.
The new dataset we've incorporated is the HURDAT2 dataset [0] , offering access to cyclone track data from 1852 to 2022 for both the Atlantic and Pacific Ocean basins. This dataset is provided as an xarray [1] Dataset utilizing CF (Climate and Forecast) conventions [2] for data variables that are organized as a Ragged Arrays [3].
To get started with `clouddrift` and the HURDAT2 dataset, check out our example Jupyter notebooks [4].
If you'd like to receive regular updates on each release or just want to get an idea of features we've been working on checkout our latest [5].
I'd love to hear from HN. How do you see clouddrift working with ragged array datasets of any kind you may be working with? Are there any challenges created by working with ragged arrays and/or Lagrangian datasets you have faced which clouddrift may not be accounting for? Any and all feedback is welcome as we look to make this tool as useful as possible for the scientific community!
[0] https://github.com/Cloud-Drift/clouddrift/blob/main/clouddri...
iris
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Is the sodium and iris mod safe?
Yes, both mods are open-sourced meaning anyone can look at how the mod is made and programmed. This allows people myself included to see if there is anything malicious inside, which there isn't. Source code Github: SODIUM/IRIS
What are some alternatives?
coding-problems - Solutions for various coding/algorithmic problems and many useful resources for learning algorithms and data structures
xarray - N-D labeled arrays and datasets in Python
pygeohydro - A part of HyRiver software stack for accessing hydrology data through web services
MetPy - MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
climatemind-backend - Your climate action is here 🌎 Our API is a source for learning how climate change personally affects you and the things you care about most. Additionally, it will teach a scientifically proven method for communicating to others that climate change is a personally relevant issue to inspire action.
sodium-fabric - A Fabric mod designed to improve frame rates and reduce micro-stutter
hurdat2-get-started - Simple notebooks to get you started with the HURDAT2 dataset using python and xarray
gdl - GDL - GNU Data Language
cfgrib - A Python interface to map GRIB files to the NetCDF Common Data Model following the CF Convention using ecCodes