x4c: Xarray for CESM
Project description
x4c: Xarray for CESM
[!NOTE] If you use
x4cin any way for your publications, please cite:
- Zhu, F., Levy, M., & Dobbins, B. (2025). x4c: Xarray for efficient CESM postprocessing, analysis, and visualization. Zenodo. https://doi.org/10.5281/zenodo.17028522
x4c is an Xarray extension that aims to support efficient and intuitive CESM output postprocessing, analysis, and visualization:
- Postprocessing features: time series generation, seasonal cycle climatology generation, etc.
- Analysis features: regrid, various of mean calculation, annualization/seasonalization, etc.
- Visualization features: timeseries, horizontal and vertical 2D spatial plots, etc.
Disclaimer: This package is still in its early stage and under active development, and its API could be changed frequently.
For more details, please refer to the documentation linked below.
Documentation
- Homepage: https://NCAR.github.io/x4c
- Installation: https://NCAR.github.io/x4c/ug-installation.html
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
x4c-2025.11.27.tar.gz
(47.6 kB
view details)
File details
Details for the file x4c-2025.11.27.tar.gz.
File metadata
- Download URL: x4c-2025.11.27.tar.gz
- Upload date:
- Size: 47.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
34c415593356d587c723754227bd642124bf4ea2a9d9f254ee0177d69fe3fa87
|
|
| MD5 |
415d112216ad666e3ca5e640140ebf7c
|
|
| BLAKE2b-256 |
aa4b3130aa982468b480cf47c93a40bf344502a9e49c41dca5783a4f637f8f38
|
