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Deglacial reconstruction of the spatial extent and intensity of the North Atlantic Subtropical High

Deglacial reconstruction of the spatial extent and intensity of the North Atlantic Subtropical High

This is a Preprint and has not been peer reviewed. This is version 3 of this Preprint.

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Authors

David Fastovich, Tripti Bhattacharya , Stephen T. Jackson, Teresa R. Krause, James M. Russell, Timothy M. Shanahan, Chijun Sun, John Warren Williams 

Abstract

Rainfall-related hazards are growing in southeastern North America (SENA) but well-documented climate-model biases cast doubt on projected rainfall changes. Using leaf-wax biomarkers (δDwax) at White Pond, SC and Hall’s Cave, TX, we reconstruct North Atlantic Subtropical High (NASH) variability across the last deglaciation (21 to 10 ka) to assess model fidelity. During the Younger Dryas, when Atlantic Ocean heat transport weakened, the NASH expanded westward, increasing rainfall in SENA. In contrast, the NASH gradually contracted eastward and weakened as deglacial greenhouse-gas concentrations increased, likely decreasing rainfall in SENA. An isotope-enabled simulation captures the first NASH response but severely underestimates the second. Because the NASH delivers moisture that drives extreme rainfall in SENA, this underestimation suggests that models cannot yet produce confident projections of regional rainfall extremes, or that those extremes will exceed current projections. Rainfall hazards facing SENA may be larger or less certain than current models suggest.

DOI

https://doi.org/10.31223/X5S49B

Subjects

Climate, Physical Sciences and Mathematics

Keywords

Hydroclimate, Leaf wax, precipitation isotopes, paleoclimate, deglaciation, atmospheric circulation, Leaf wax, precipitation isotopes, paleoclimate, deglaciation, atmospheric circulation

Dates

Published: 2026-06-13 23:23

Last Updated: 2026-07-30 07:30

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License

CC-BY Attribution-NonCommercial 4.0 International

Additional Metadata

Data Availability:
All data, including derived iCESM fields (integrated vapor transport), along with analysis code and a containerized computing environment, are available on Zenodo (https://doi.org/10.5281/zenodo.20628395).

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