climatrix 1.0a4

Tool for climate data research

🌍 climatrix

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Climatrix is a flexible toolbox for sampling and reconstructing climate datasets.

It provides utilities and an xarray accessor that simplifies the workflow of working with climate data arrays — from preprocessing to statistical sampling.

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👤 Author

• Name: Jakub Walczak
• GitHub: @jamesWalczak
• Email: [e-mail]

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👥 Contributors

• Name: Wojciech Żyndul
• GitHub: @wzyndul
• Email: [e-mail]

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📌 Version

Important This is an alpha release – features are still evolving, and breaking changes may occur.

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📚 Table of Contents

• 🚀 Getting Started
• 📦 Installation
• ⚙️ Usage
• 🧪 Examples
• 🛠️ Features
• 📄 License
• 🙏 Citation

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⚙️ Usage

Getting started and API reference are available in the official documentation.

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🧪 Examples

🔍 Click to expand example: Accessing `climatrix` features

import climatrix as cm
import xarray as xr

my_dataset = "/file/to/netcdf.nc
cm_dset = xr.open_dataset(my_dataset).cm

📊 Click to expand example: Getting values of coordinate

import climatrix as cm
import xarray as xr

my_dataset = "/file/to/netcdf.nc"
cm_dset = xr.open_dataset(my_dataset).cm
print("Latitude values: ", cm_dset.latitude)
print("Time values: ", cm_dset.time)

📊 Subsetting by bounding box

import climatrix as cm
import xarray as xr

my_dataset = "/file/to/netcdf.nc
cm_dset = xr.open_dataset(my_dataset).cm
europe = cm_dset.cm.subset(north=71, south=36, west=-24, east=35)

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🛠️ Features

• 🧭 Easy access to coordinate data (similar to MetPy), using regex to locate lat/lon
• 📊 Sampling of climate data, both uniformly and using normal-like distributions
• 🔁 Reconstruction via:
  • IDW (Inverse Distance Weighting)
  • Ordinary Kriging
  • SIREN (Sinusoidal INR)
• 🧪 Tools to compare reconstruction results
• 📈 Plotting utilities for visualizing inputs and outputs

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📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

👥 Contributing

The rules for contributing on the project are described in CONTRIBUTING file in details.

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🙏 Citation

If you are using this software in scientific work, cite us:

@misc{climatrix,
  author       = {Walczak, J., Żyndul, W.},
  title        = {climatrix: Climate data reconstruction made simple },
  year         = {2025},
  publisher    = {GitHub},
  journal      = {GitHub repository},
  howpublished = {\url{https://github.com/jamesWalczak/climatrix}},
}