PaleoTS: automated time series analysis for the paleogeosciences

PaleoTS is a framework for the analysis of paleoclimate data. paleoTS leverages an artificial intelligence system for time series analysis (autoTS) and the Pyleoclim Python package dedicated to the analysis of climate data.

What is PaleoTS?

• The philosophy behind PaleoTS
  • What is PaleoTS?
  • Why PaleoTS?
  • How does it work?
  • Technical details
• Frequently asked questions

PaleoTS was developed to allow scientists to analyze paleoclimate datasets using expert-designed workflows. PaleoTS enables researchers to explore all possible choices of statistical methods appropriate for the data and, therefore, quantify the robustness of their conclusions to choices made in data pre-processing and analysis.

Getting Started

• Creating an account
• Installing PaleoTS
• Working with PaleoTS: a Tutorial
  • WINGS login
  • Running a workflow
  • Understanding data types
  • Uploading new data
  • Registering data from the output of an existing workflow
  • Creating new workflows with existing components
  • Inspecting existing components
  • Updating the version of Pyleoclim
  • Updating existing components
  • Creating new components
  • Adding rules
  • Terminology

Learn More

• Reproducing a scientific workflow with paleoTS
  • Data
  • Data exploration
  • Spectral analysis
  • Wavelet analysis
  • Cross-wavelet analysis
  • Results
  • References
• Relevant Publications
• Citing paleoTS

PaleoTS is freely available under the terms of the Apache license.