Dataset: Ocean aluminum cycle model output containing model-predicted aluminum distribution and 60 different estimates of dust deposition

This dataset has not been validatedData not availableVersion 1 (2024-03-15)Dataset Type:model results

Principal Investigator: Thomas Weber (University of Rochester)

Scientist: Hairong Xu (University of Rochester)

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


Project: Collaborative research: Combining models and observations to constrain the marine iron cycle (Fe Cycle Models and Observations)


Abstract

Here present model output from a data-assimilating model of the ocean aluminum (Al) cycle. The model simulates inputs of Al from atmospheric dust, and internal cycling due to reversible scavenging and biological cycling, and assimilates data from the GEOTRACES archive. Full code and inputs for the model can be accessed at Zenodo (https://zenodo.org/records/10139317). This file contains the aluminum model-predicted aluminum distribution from the fully-optimized model, as well as 60 different est...

Show more

Data are presented in both the original Matlab data format (file "Xu_2021_model_output.mat") and a non-proprietary plain-text format "Xu_2021_model_output.zip" which contains a .txt file for each variable stored in Xu_2021_model_output.mat.  See file descriptions for more information about the structure of these files.


Related Datasets

IsDerivedFrom

Dataset:
Schlitzer, R. (2018) eGEOTRACES - Electronic Atlas of GEOTRACES Sections and Animated 3D Scenes. GEOTRACES Intermediate Data Product 2017. Available from http://www.egeotraces.org

Related Publications

Results

Xu, H., & Weber, T. (2021). Ocean Dust Deposition Rates Constrained in a Data‐Assimilation Model of the Marine Aluminum Cycle. Global Biogeochemical Cycles, 35(9). Portico. https://doi.org/10.1029/2021gb007049
Methods

DeVries, T., & Holzer, M. (2019). Radiocarbon and Helium Isotope Constraints on Deep Ocean Ventilation and Mantle‐3He Sources. Journal of Geophysical Research: Oceans, 124(5), 3036–3057. Portico. https://doi.org/10.1029/2018jc014716
Methods

Schlitzer, R., Anderson, R. F., Dodas, E. M., Lohan, M., Geibert, W., Tagliabue, A., … Landing, W. M. (2018). The GEOTRACES Intermediate Data Product 2017. Chemical Geology, 493, 210–223. doi:10.1016/j.chemgeo.2018.05.040