journal article Oct 01, 2016

A data-driven spline model designed to predict paleoclimate using paleosol geochemistry

G. E. Stinchcomb L. C. Nordt S. G. Driese W. E. Lukens F. C. Williamson J. D. Tubbs

American Journal of Science Vol. 316 No. 8 pp. 746-777 · American Journal of Science (AJS)

View at Publisher Save 10.2475/08.2016.02

Topics

No keywords indexed for this article. Browse by subject →

Cited By

52

Soil Carbon Isotope Values and Paleoprecipitation Reconstruction

Rebekah A. Stein, Nathan D. Sheldon · 2021

Paleoceanography and Paleoclimatolo...

Metrics

52

Citations

0

References

Details

Published: Oct 01, 2016
Vol/Issue: 316(8)
Pages: 746-777

Authors

G. E. Stinchcomb

F. C. Williamson

Cite This Article

G. E. Stinchcomb, L. C. Nordt, S. G. Driese, et al. (2016). A data-driven spline model designed to predict paleoclimate using paleosol geochemistry. American Journal of Science, 316(8), 746-777. https://doi.org/10.2475/08.2016.02

Related

You May Also Like

Volcanic rock series in island arcs and active continental margins

A. Miyashiro · 1974

2,094 citations

The carbonate-silicate geochemical cycle and its effect on atmospheric carbon dioxide over the past 100 million years

R. A. Berner, A. C. Lasaga · 1983

1,975 citations

Geometry and kinematics of fault-bend folding

J. Suppe · 1983

1,436 citations

The solubility of calcite and aragonite in seawater at various salinities, temperatures, and one atmosphere total pressure

A. Mucci · 1983

917 citations

Viscosities of magmatic silicate liquids; an empirical method of prediction

H. R. Shaw · 1972

815 citations