Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 9
Articles | Volume 18, issue 9
https://doi.org/10.5194/gmd-18-2609-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-2609-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 9
Model description paper
 | 
14 May 2025
Model description paper |  | 14 May 2025

PaleoSTeHM v1.0: a modern, scalable spatiotemporal hierarchical modeling framework for paleo-environmental data

Yucheng Lin, Robert E. Kopp, Alexander Reedy, Matteo Turilli, Shantenu Jha, and Erica L. Ashe

Viewed

Total article views: 472 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
306 103 63 472 16 20
  • HTML: 306
  • PDF: 103
  • XML: 63
  • Total: 472
  • BibTeX: 16
  • EndNote: 20
Views and downloads (calculated since 16 Oct 2024)
Cumulative views and downloads (calculated since 16 Oct 2024)

Viewed (geographical distribution)

Total article views: 472 (including HTML, PDF, and XML) Thereof 457 with geography defined and 15 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 14 May 2025
Download
Short summary
PaleoSTeHM v1.0 is a state-of-the-art framework designed to reconstruct past environmental conditions using geological data. Built on modern machine learning techniques, it efficiently handles the sparse and noisy nature of paleo-records, allowing scientists to make accurate and scalable inferences about past environmental change. By using flexible statistical models, PaleoSTeHM separates different sources of uncertainty, improving the precision of historical climate reconstructions.
Read more
Share