Oka and colleagues demonstrate that the global distribution of REE can be reproduced by considering the internal cycle associated with reversible scavenging and external REEs inputs around continental regions.
Mar / 26 / 2021
Modelling
Constraining Oceanic Copper Cycling through Artificial Intelligence and Ocean Circulation Inverse Model
Using available observations of dissolved copper, artificial neural networks, and an ocean circulation inverse model, authors calculated a global estimate of the 3-dimensional distribution and cycling of dissolved copper in the ocean.
Jan / 15 / 2021
A new model simulates the speciation and dispersion of hydrothermal iron
Roshan and collaborators present new observations of dissolved iron and its physical speciation in the South Pacific
Jun / 10 / 2020
Silicon isotopes reveal the different Arctic endmembers contributing to the deep water formed in the North Atlantic Ocean
Combining a multiparametric analysis, biogenic and dissolved silicon (Si) isotope data (30Si-bSiO2 and δ30Si-DSi, respectively) in the Arctic Ocean, Liguori and co-workers (2020, see reference below) could unravel the influence […]
Apr / 20 / 2020
Particulate fluxes and circulation in a changing Arctic Ocean: tracer data and modeling
A complete review of published and new water column profiles of thorium-230 (230Th) and protactinium-231 (231Pa) concentrations and neodymium (Nd) isotopic compositions collected in the Amerasian Basin of the Arctic […]
Mar / 27 / 2020
Is the global primary production at it’s maximum rate?
Lauderdale and co-authors (2020, see reference below) are seriously questioning the paradigm establishing that marine phytoplankton growth is limited by iron on a global scale. Iron availability to marine microbes […]
Feb / 25 / 2020
Neural network as tools to replace oceanic data deficiencies
The importance of the cycle and speciation of nitrate and its isotopes (δ15N) in the ocean does not have to be demonstrated anymore. In an attempt to overcome the difficulty […]
Dec / 16 / 2019
Artificial intelligence helps investigate the oceanic zinc cycle
What explains the hitherto mysterious correlation between zinc (Zn) and silicon, an element not involved in the Zn cycle? Roshan and co-workers (2018, see reference below) used an artificial neural […]
Jan / 24 / 2019
More realistic oceanic particle field improved the thorium-230 and protactinium-231 modeling
Thorium-230 (230Th) and protactinium-231 (231Pa) are two geochemical tracers extensively used for investigating particle transport in the ocean and reconstructing past ocean circulation. A key feature in reproducing their distributions by […]
Dec / 10 / 2018