climpred: verification of weather and climate forecasts

docs Documentation Status
tests travis Requirements Status codecov
package Conda Version pypi
license license
community gitter GitHub contributors Conda downloads
tutorials climpred gallery climpred workshop

Version 2.0.0 Release

We now support sub-annual (e.g., seasonal, monthly, weekly, daily) forecasts. We provide a host of deterministic and probabilistic metrics. We support both perfect-model and hindcast-based prediction ensembles, and provide PerfectModelEnsemble and HindcastEnsemble classes to make analysis easier.

See quick start and our examples to get started.

Installation

You can install the latest release of climpred using pip or conda:

pip install climpred
conda install -c conda-forge climpred

You can also install the bleeding edge (pre-release versions) by cloning this repository and running pip install . --upgrade in the main directory

Getting Started

User Guide

Help & Reference