The DOI matches its Crossref record.
Human-Induced Arctic Moistening
Abstract
The Arctic and northern subpolar regions are critical for climate change. Ice-albedo feedback amplifies warming in the Arctic, and fluctuations of regional fresh water inflow to the Arctic Ocean modulate the deep ocean circulation and thus exert a strong global influence. By comparing observations to simulations from 22 coupled climate models, we find influence from anthropogenic greenhouse gases and sulfate aerosols in the space-time pattern of precipitation change over high-latitude land areas north of 55°N during the second half of the 20th century. The human-induced Arctic moistening is consistent with observed increases in Arctic river discharge and freshening of Arctic water masses. This result provides new evidence that human activity has contributed to Arctic hydrological change.
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
Decadal Prediction: Can It Be Skillful?
Meehl, G. A., Goddard, L., Murphy, J., Stouffer, R. J., Boer, G., Danabasoglu, G., Dixon, K., Giorgetta, M. A., Greene, A. M., Hawkins, E., et al. (2009) · Bulletin of the American Meteorological Society · doi:10.1175/2009bams2778.1 · Cited by 755
The Response of Northern Hemisphere Snow Cover to a Changing Climate*
Brown, R. D., & Mote, P. W. (2009) · Journal of Climate · doi:10.1175/2008jcli2665.1 · Cited by 624
Assessing the observed impact of anthropogenic climate change
Hansen, G., & Stone, D. (2016) · Nature Climate Change · doi:10.1038/nclimate2896 · Cited by 139
Detection and attribution of anthropogenic climate change impacts
Rosenzweig, C., & Neofotis, P. (2013) · WIREs Climate Change · doi:10.1002/wcc.209 · Cited by 99
Knutson, T. R., & Zeng, F. (2018) · Journal of Climate · doi:10.1175/jcli-d-17-0672.1 · Cited by 70
Metadata
- Authors
- Min, S.-K., Zhang, X., & Zwiers, F.
- Venue
- Science
- Published
- 2008-04-25
- Volume
- 320
- Issue
- 5875
- Pages
- 518-520
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2057471421
- Cited by
- 191
- References
- 0
- FWCI
- 14.10
- Type
- journal article
- Language
- en
- Open access
- closed
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: Human-Induced Arctic Moistening. https://app.cochat.ai/papers/10.1126/science.1153468
- The paper
- Min, S.-K., Zhang, X., & Zwiers, F. (2008). Human-Induced Arctic Moistening. Science. https://doi.org/10.1126/science.1153468
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.
