Abstract. This work presents ShellChron, a new model for generating accurate internal
age models for high-resolution paleoclimate archives, such as corals,
mollusk shells, and speleothems. Reliable sub-annual age models form the
backbone of high-resolution paleoclimate studies. In the absence of independent
sub-annual growth markers in many of these archives, the most reliable
method for determining the age of samples is through age modeling based on
stable oxygen isotope or other seasonally controlled proxy records.
ShellChron expands on previous solutions to the age model problem by fitting
a combination of a growth rate and temperature sinusoid to model seasonal
variability in the proxy record in a sliding window approach. This new
approach creates smoother, more precise age–distance relationships for
multi-annual proxy records with the added benefit of allowing assessment of
the uncertainty in the modeled age. The modular script of ShellChron allows
the model to be tailored to specific archives, without being limited to
oxygen isotope proxy records or carbonate archives, with high flexibility in
assigning the relationship between the input proxy and the seasonal cycle.
The performance of ShellChron in terms of accuracy and computation time is
tested on a set of virtual seasonality records and real coral, mollusk, and
speleothem archives. The result shows that several key improvements in
comparison to previous age model routines enhance the accuracy of ShellChron
on multi-annual records while limiting its processing time. The current full
working version of ShellChron enables the user to model the age of 10-year-long high-resolution (16 samples yr−1) carbonate records with monthly accuracy
within 1 h of computation time on a personal computer. The model is
freely accessible on the CRAN database and GitHub. Members of the community
are invited to contribute by adapting the model code to suit their research
topics and encouraged to cite the original work of Judd et al. (2018)
alongside this work when using ShellChron in future studies.