Overview

The CO2 Proxy Integration Project (CO2PIP) aims to significantly advance our understanding of historical atmospheric CO2 levels throughout Earth's history, specifically during the Phanerozoic era. By leveraging various proxies and statistical methodologies, this project will create a comprehensive and reliable multi-proxy record of atmospheric CO2 concentrations.

PaleoCO2

Drawing upon the groundwork laid by the PI team's prior research, CO2PIP will develop refined models that accurately represent the relationship between CO2 levels and proxy signals, focusing on four widely-utilized proxies (pedogenic carbonate, boron, phytoplankton, and leaf proxies). Through collaboration with the scientific community, particularly in modernizing existing CO2 proxy records such as paleosol- and fossil leaf-based data, we will establish a standardized repository adhering to FAIR (Findable, Accessible, Interoperable, Reusable) data principles, ensuring accessibility and interoperability.

The heart of the project lies in the integration of these enhanced proxy models with updated datasets, employing sophisticated inversion analysis techniques to generate quantitative reconstructions of past CO2 levels. These reconstructions will provide invaluable insights into Earth's climate dynamics and will be made readily available to both the scientific community and the public through dedicated digital platforms.

CO2PIP offers various avenues for participation, ensuring that diverse perspectives contribute to project outcomes and the development of community-endorsed products. Through these efforts, CO2PIP aims to shed light on crucial aspects of Earth's history while fostering collaboration and accessibility within the scientific community and beyond.

Project Goals

  • Develop quantified representations (forward proxy system models) of CO2 signals in commonly used proxies.
  • Establish a standardized paleo-CO2 proxy data repository meeting FAIR data standards.
  • Integrate new proxy models with vetted and modernized proxy data to produce quantitative CO2 reconstructions.
  • Create digital infrastructure for presenting and archiving CO2 compilation and project outputs, ensuring accessibility.
  • Develop and disseminate 2D and 3D augmented reality tools that permit users to experience regional CO2-climate connections and uncertainties, enhancing public engagement and understanding.
  • Engage and mentor early career scientists, students, and STEM Futures Fellows to foster collaboration and broader dissemination.
  • Develop teaching modules and resources that utilize authentic CO2 proxy data, fostering scientific literacy and engagement among students at all levels.