The DOI matches its Crossref record.
Variations in droughts over China: 1951–2003
Open accessAbstract
The Palmer Drought Severity Index (PDSI) was calculated by using monthly air temperature and precipitation in China during the period 1951 to 2003. For the country as a whole, there are no long‐term upward or downward trends in the percentage areas of droughts (defined as PDSI < −1.0). However, significant increases of drought areas are found in North China. Most northern China (except western Northwest China) has experienced severe and prolonged dry periods since the late 1990s, when in some of the areas the extreme drought situations were unprecedented during the period of study. Since these regions are relatively dry areas, frequent drought stress in recent decades has become more serious.
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
Drought under global warming: a review
Dai, A. (2011) · WIREs Climate Change · doi:10.1002/wcc.81 · Cited by 3,523
Yu, M., Li, Q., Hayes, M. J., Svoboda, M. D., & Heim, R. R. (2014) · International Journal of Climatology · doi:10.1002/joc.3701 · Cited by 585
Soil Moisture Drought in China, 1950–2006
Wang, A., Lettenmaier, D. P., & Sheffield, J. (2011) · Journal of Climate · doi:10.1175/2011jcli3733.1 · Cited by 512
Agriculture intensifies soil moisture decline in Northern China
Liu, Y., Pan, Z., Zhuang, Q., Miralles, D. G., Teuling, A. J., Zhang, T., An, P., Dong, Z., Zhang, J., He, D., et al. (2015) · Scientific Reports · doi:10.1038/srep11261 · Cited by 107
Geng, G., Wu, J., Wang, Q., Lei, T., He, B., Li, X., Mo, X., Luo, H., Zhou, H., & Liu, D. (2016) · International Journal of Climatology · doi:10.1002/joc.4356 · Cited by 92
Metadata
- Authors
- Zou, X., Zhai, P., & Zhang, Q.
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2005-02
- Volume
- 32
- Issue
- 4
- ISSN
- 0094-8276 (ISSN-L)
- 1944-8007
- OpenAlex
- W2048608554
- Cited by
- 341
- References
- 0
- FWCI
- 8.15
- 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: Variations in droughts over China: 1951–2003. https://app.cochat.ai/papers/10.1029/2004gl021853
- The paper
- Zou, X., Zhai, P., & Zhang, Q. (2005). Variations in droughts over China: 1951–2003. Geophysical Research Letters. https://doi.org/10.1029/2004gl021853
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.
