Data and Scripts for Influence of particle and transport effects on Pa/Th sensitivity to AMOC

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Authors: Pierre Testorf
Cited by: 0

Abstract

This dataset contains the code and processed model output underlying the sensitivity analysis of sedimentary Pa/Th ratios to Atlantic Meridional Overturning Circulation (AMOC) changes presented in Testorf et al. (submitted to Paleoceanography and Paleoclimatology). Simulations were performed with the Bern3D Earth system model across three climate states: the Last Glacial Maximum (LGM), Marine Isotope Stage 3 (MIS 3), and the Pre-Industrial (PI). The archive includes: Processing scripts (scripts) for tracer budget decomposition, residence-time calculation, and figure reproduction (Python, Jupyter, Bash).Derived NetCDF data (data) comprising Pa/Th sensitivity indices normalised by AMOC change (alpha_amoc/), un-normalised sensitivity indices (alpha_easy/), decomposed tracer budget terms, residence-time fields, and observational dissolved and particulate Pa and Th data from the GEOTRACES programm, as well as Pa/Th core-top data used for calibration of the model.Publication figures (figures) in PDF format.The Python environment required to run the scripts is specified in requirements.txt. Processing additionally requires CDO and NCO command-line tools. Update (version 2): revised model–data comparison. This version adds revision_reproduction.zip, a self-contained directory that reproduces the revised model–data comparison: Figure 1 (sedimentary ²³¹Pa/²³⁰Th and GEOTRACES GA02/GA03 water-column comparison), Supplementary Figures S1–S3 (dissolved and particulate ²³¹Pa and ²³⁰Th sections and scatter plots for the remaining GEOTRACES sections), Table 1 (fit statistics), and a table of N and R² per panel for the original and corrected comparison.

Fields of Study & Subjects

Geology and Paleoclimatology Research Oceanographic and Atmospheric Processes Marine Plankton and Biogeochemistry

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
11 March 2026
Language
EN
Document type
Dataset