Climakitae
A powerful Python toolkit for climate data analysis and retrieval from the Cal-Adapt Analytics Engine (AE).
Climakitae provides intuitive tools for accessing, analyzing, and visualizing downscaled CMIP6 data, enabling researchers and practitioners to perform comprehensive climate impact assessments for California.
Key Features
- 🌡️ Comprehensive Climate Data Access: Retrieve climate variables from hosted climate model, weather station, and renewable energy datasets
- 📊 Downscaled Climate Models: Access dynamical (WRF) and statistical (LOCA2) downscaling methods
- 🗺️ Spatial Analysis Tools: Built-in support for geographic subsetting and spatial aggregation
- 📈 Climate Indices: Calculate heat indices, warming levels, and extreme event metrics
- 🔧 Flexible Data Export: Export to NetCDF, CSV, and Zarr
About Cal-Adapt
Climakitae is developed as part of the Cal-Adapt Analytics Engine, a platform for California climate data and tools. Cal-Adapt provides access to cutting-edge climate science to support adaptation planning and decision-making.
Getting Started
Installation
Climakitae requires Python 3.12 or 3.13. We recommend uv on Linux/macOS and conda on Windows or when native geospatial dependencies cause trouble.
Quick install of the latest release:
# with uv
uv pip install climakitae
# with conda
conda create -n climakitae python=3.13 -y
conda activate climakitae
pip install climakitae
For editable installs, developer dependencies, and platform-specific tips, see the Installation Guide on the wiki.
Basic Usage
from climakitae.new_core.user_interface import ClimateData
# Retrieve monthly max temperature for Los Angeles in 2015
data = (
ClimateData()
.catalog("cadcat")
.activity_id("WRF")
.institution_id("UCLA")
.table_id("mon")
.grid_label("d03")
.variable("t2max")
.processes({
"time_slice": ("2015-01-01", "2015-12-31"),
"clip": "Los Angeles",
})
.get()
)
# Data is returned as a lazy xarray Dataset
print(data)
The legacy
climakitae.core.data_interface.get_dataAPI is still supported for backward compatibility, but new work should useClimateDatafromclimakitae.new_core.
Documentation
| Resource | Description |
|---|---|
| Installation Guide | Casual, power-user, and developer installs |
| AE Navigation Guide | Interactive notebook tutorial |
| API Reference | Complete API documentation |
| AE Notebooks | Sample notebooks and scripts |
| Contributing | Development guidelines |
Contributing
We welcome contributions! Please see our contributing guidelines for details on:
- 🐛 Reporting bugs
- 💡 Requesting features
- 🔧 Submitting code changes
- 📖 Improving documentation
For setting up a development environment (editable install, tests, formatters), see the Installation Guide on the wiki.
When opening a pull request, please tag at least two project maintainers for review.
License
This project is licensed under the BSD 3-Clause License - see the LICENSE file for details.
Related Projects
- climakitaegui - Interactive GUI tools for climakitae
- cae-notebooks - Example notebooks and tutorials
Support
- 📧 Email: analytics@cal-adapt.org
- 🐛 Issues: GitHub Issues
- 💬 Discussions: GitHub Discussions
Contributors
Metadata
Release files for climakitae 1.5.10
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| climakitae-1.5.10.tar.gz | 98.5 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| climakitae-1.5.10-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 128.6 MB
Release files / climakitae-1.5.10.tar.gz
| Download URL | climakitae-1.5.10.tar.gz |
|---|---|
| Size | 98.5 MB |
| Tags | Source |
|
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| Download URL | climakitae-1.5.10-py3-none-any.whl |
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| Size | 30.0 MB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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