Dataset: Estimation of the parameters of a simple model of thorium and particle cycling in the ocean water column, based on a fit to radionuclide and particle data from the US GEOTRACES North Atlantic Section (GA03)

ValidatedFinal no updates expectedVersion (2018-02-26)Dataset Type:model results

Principal Investigator: Olivier Marchal (Woods Hole Oceanographic Institution)

Co-Principal Investigator: Phoebe J. Lam (University of California-Santa Cruz)

Co-Principal Investigator, Contact: Paul Lerner (Woods Hole Oceanographic Institution)

BCO-DMO Data Manager: Amber D. York (Woods Hole Oceanographic Institution)

Project: Selecting and Applying an Inverse Method to Infer Particle Dynamics from GEOTRACES Data (GEOTRACES Particle Dynamics)

Cite Dataset

This dataset contains model code and output from a thorium and particle cycling model. 

The model code and documentation are available for download as a .zip file: Lerner_Th_P_InverseModel.zip (2.6 MB)

Model output data are available by clicking the "Get Data" button above.  These data are parameter estimates from fitting the model to radionuclide and particle data from the US GEOTRACES North Atlantic Section, not samples collected in the field. 

Both the model and inverse method are described in detail in the model manual “Manual of Matlab Code: Nonlinear Inversion of Thorium and Particle Data,” as well as in Lerner et al., 2017.   This document describes how to use the routine submitted here to fit a 1-d thorium and particle cycling model to radionuclide and particle data

These data and model were published in:

Lerner, P., Marchal, O., Lam, P. J., Buesseler, K., and Charette, M. (2017). Kinetics of thorium and particle cycling along the US GEOTRACES North Atlantic Transect. Deep Sea Research Part I: Oceanographic Research Papers, 125, 106-128, Fig. 12, Supplementary Figs. S1-S3. doi: 10.1016/j.dsr.2017.05.003

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Related Publications

Methods, Results
Lerner, P., Marchal, O., Lam, P. J., Buesseler, K., & Charette, M. (2017). Kinetics of thorium and particle cycling along the U.S. GEOTRACES North Atlantic Transect. Deep Sea Research Part I: Oceanographic Research Papers, 125, 106–128. doi:10.1016/j.dsr.2017.05.003
Results
Charette, M. A., Morris, P. J., Henderson, P. B., & Moore, W. S. (2015). Radium isotope distributions during the US GEOTRACES North Atlantic cruises. Marine Chemistry, 177, 184–195. doi:10.1016/j.marchem.2015.01.001
Results
Hayes, C. T., Anderson, R. F., Fleisher, M. Q., Huang, K.-F., Robinson, L. F., Lu, Y., … Moran, S. B. (2015a). 230Th and 231Pa on GEOTRACES GA03, the U.S. GEOTRACES North Atlantic transect, and implications for modern and paleoceanographic chemical fluxes. Deep Sea Research Part II: Topical Studies in Oceanography, 116, 29–41. doi:10.1016/j.dsr2.2014.07.007
Results
Hayes, C. T., Anderson, R. F., Fleisher, M. Q., Vivancos, S. M., Lam, P. J., Ohnemus, D. C., … Moran, S. B. (2015). Intensity of Th and Pa scavenging partitioned by particle chemistry in the North Atlantic Ocean. Marine Chemistry, 170, 49–60. doi:10.1016/j.marchem.2015.01.006
Results
Lam, P. J., Ohnemus, D. C., & Auro, M. E. (2015). Size-fractionated major particle composition and concentrations from the US GEOTRACES North Atlantic Zonal Transect. Deep Sea Research Part II: Topical Studies in Oceanography, 116, 303–320. doi:10.1016/j.dsr2.2014.11.020

Marchal, O., Lam, P. J., Lerner, P. (2018) Estimation of the parameters of a simple model of thorium and particle cycling in the ocean water column, based on a fit to radionuclide and particle data from the US GEOTRACES North Atlantic Section (GA03). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version ) Version Date 2018-02-26 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/721940 [access date]

Terms of Use

This dataset is licensed under Creative Commons Attribution 4.0.


If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.

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Funded by the U.S. National Science Foundation