The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Asymmetries in the moisture origin of Antarctic precipitation
Open accessAbstract
The seasonality of moisture sources for precipitation in Antarctica is studied with a Lagrangian moisture source diagnostic. Moisture origin for precipitation in Antarctica has strongly asymmetric properties, which are related to the Antarctic topography, seasonal sea ice coverage, and the land/ocean contrasts in the mid‐latitudes of the southern hemisphere. The highest altitudes of the East Antarctic ice shield, where major ice cores have been drilled, have mean source latitudes of 45–40°S year‐round. This finding contrasts to results from previous Lagrangian studies which detected a more southerly moisture origin due to too short trajectories. Now, results from Lagrangian moisture source diagnostics are consistent with findings from general circulation models with tagged tracers. Thus, both approaches can serve as a common benchmark for the interpretation of moisture source indicators based on stable isotopes, such as deuterium excess, in Antarctic ice cores.
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
Cites
Snowfall in high southern latitudes
Bromwich, D. H. (1988) · Reviews of Geophysics · doi:10.1029/rg026i001p00149 · Cited by 437
Cited by
Bromwich, D. H., Nicolas, J. P., & Monaghan, A. J. (2011) · Journal of Climate · doi:10.1175/2011jcli4074.1 · Cited by 296
Observing and Modeling Ice Sheet Surface Mass Balance
Lenaerts, J. T. M., Medley, B., van den Broeke, M. R., & Wouters, B. (2019) · Reviews of Geophysics · doi:10.1029/2018rg000622 · Cited by 265
Metadata
- Authors
- Sodemann, H., & Stohl, A.
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2009-11
- Volume
- 36
- Issue
- 22
- ISSN
- 0094-8276 (ISSN-L)
- 1944-8007
- OpenAlex
- W2068521033
- Cited by
- 199
- References
- 1
- FWCI
- 5.15
- 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: Asymmetries in the moisture origin of Antarctic precipitation. https://app.cochat.ai/papers/10.1029/2009gl040242
- The paper
- Sodemann, H., & Stohl, A. (2009). Asymmetries in the moisture origin of Antarctic precipitation. Geophysical Research Letters. https://doi.org/10.1029/2009gl040242
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.