An xarray wrapper for analysis of ensemble forecast models for climate prediction.
Project description
An xarray wrapper for analysis of ensemble forecast models for climate prediction.
Release
We are diligently working on our v1 release. The goal for v1 is to have climpred ready to take in subseasonal-to-seasonal and seasonal-to-decadal prediction ensembles and to perform determinstic skill metrics on them. We will have early-stage objects (HindcastEnsemble and PerfectModelEnsemble) to make computations easier on the user. We will also have documentation ready so the capabilities of climpred are more clear.
In the meantime, you can install the package following the steps below and reference the notebooks for guidance. Please raise any issues if you encounter any bugs or have any ideas; you can also raise a PR to add new features. Feel free to contact us if you have questions.
Installation
pip install git+https://github.com/bradyrx/climpred
Documentation
Documentation is in development and can be found on readthedocs.
Project details
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
Built Distribution
Hashes for climpred-1.0.0-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 8fe97dc99b6d14f201cfd268fa24e3b54a7eb2b7bac24e233a0da0b9901fabc4 |
|
MD5 | 4afa3d7b10494ff06f9b22eae036ff1d |
|
BLAKE2b-256 | 0deba5cd60570bd66fc3c9b858845d00780f16d6885ddf9854c90097ee10b815 |