The DOI matches its Crossref record.
Dissolution of atmospheric iron in seawater
Open accessAbstract
In vitro dissolution experiments were conducted in seawater in order to quantify the partitioning between dissolved and particulate phases of iron associated to Saharan dust and urban particles. The percentage of iron released was very low (0.05 to 2.2%) depending on the particulate load, the aerosol source and the contact time. This percentage decreased with the amount of particles introduced following a power law, indicating that the process could be modeled. Indeed, these dissolution processes were a function of the lability of iron in relation to the particle source, the particle size and adsorption processes. According to these experiments, the dissolved iron induced in a 10 m mixed layer by Saharan events of various magnitudes ranges from 0.07 to 1 nM. Since these concentrations are in agreement with the natural iron requirements for the phytoplankton, such inputs can profoundly influence the primary production, especially in oligotrophic conditions.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Atmospheric global dust cycle and iron inputs to the ocean
Mahowald, N. M., Baker, A. R., Bergametti, G., Brooks, N., Duce, R. A., Jickells, T. D., Kubilay, N., Prospero, J. M., & Tegen, I. (2005) · Global Biogeochemical Cycles · doi:10.1029/2004gb002402 · Cited by 1,236
Controls of Trace Metals in Seawater
Bruland, K. W., Middag, R., & Lohan, M. C. (2014) · Treatise on Geochemistry · doi:10.1016/b978-0-08-095975-7.00602-1 · Cited by 502
Alexander, B., Park, R. J., Jacob, D. J., & Gong, S. (2009) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2008jd010486 · Cited by 312
Boyle, E. A., Bergquist, B. A., Kayser, R. A., & Mahowald, N. (2005) · Geochimica et Cosmochimica Acta · doi:10.1016/j.gca.2004.07.034 · Cited by 256
Metadata
- Authors
- Bonnet, S., & Guieu, C.
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2004-02
- Volume
- 31
- Issue
- 3
- ISSN
- 0094-8276 (ISSN-L)
- 1944-8007
- OpenAlex
- W2065647650
- Cited by
- 160
- References
- 0
- FWCI
- 6.75
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Dissolution of atmospheric iron in seawater. https://app.cochat.ai/papers/10.1029/2003gl018423
- The paper
- Bonnet, S., & Guieu, C. (2004). Dissolution of atmospheric iron in seawater. Geophysical Research Letters. https://doi.org/10.1029/2003gl018423
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
