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Getting Started

  • Overview: Why climpred?
  • Scope of climpred
  • Quick Start
  • Examples

User Guide

  • Setting Up Your Dataset
  • PredictionEnsemble Objects
  • Verification Alignment
  • Metrics
  • Comparisons
  • Significance Testing
  • Bias Removal
  • Temporal and Spatial Smoothing
  • Prediction Terminology
  • Reference Forecasts

Help & Reference

  • API Reference
  • What’s New
  • Code of Conduct
  • Contribution Guide
  • Contributors
  • Helpful Links
  • Publications Using climpred
  • Related Packages
  • Release Procedure
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Related Packages¶

We’re big fans of open-source software at climpred and want to support and collaborate with any other forecasting-related packages. Below is a list of packages that have some place in the Earth System forecasting world. Please reach out to us if you are aware of any open-source packages in this domain that are not on the list.

  • Microsoft forecasting: A collection of best practices for time series forecasting.

  • MurCSS: A tool for standardized evaluation of decadal hindcast systems. See also this and this page for additional resources on scoring from MurCSS.

  • properscoring: Probabilistic forecast metrics in python. (We’ve since wrapped these functions in xskillscore)

  • pySTEPS: Framework for short-term ensemble forecasting of precipitation.

  • S2D Verification: An R package for a common set of tools for forecast verification.

  • SwirlsPy: Analysis and prediction of nowcasts for precipitation and weather phenomena.

  • xskillscore: Metrics for verifying forecasts (a key dependency to climpred).

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