Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 499

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.

North China Plain threatened by deadly heatwaves due to climate change and irrigation

Open access
Kang, Suchul, Eltahir, Elfatih A. B.·2018·Nature Communications

Abstract

North China Plain is the heartland of modern China. This fertile plain has experienced vast expansion of irrigated agriculture which cools surface temperature and moistens surface air, but boosts integrated measures of temperature and humidity, and hence enhances intensity of heatwaves. Here, we project based on an ensemble of high-resolution regional climate model simulations that climate change would add significantly to the anthropogenic effects of irrigation, increasing the risk from heatwaves in this region. Under the business-as-usual scenario of greenhouse gas emissions, North China Plain is likely to experience deadly heatwaves with wet-bulb temperature exceeding the threshold defining what Chinese farmers may tolerate while working outdoors. China is currently the largest contributor to the emissions of greenhouse gases, with potentially serious implications to its own population: continuation of the current pattern of global emissions may limit habitability in the most populous region, of the most populous country on Earth.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41467-018-05252-y

Cites

39 of 39 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 39 references

Research works printed but not linked: 17

  1. Liu, J., Zheng, C., Zheng, L. & Lei, Y. Ground water sustainability: methodology and application to the North China Plain. Ground Water 46, 897–909 (2008). · doi:10.1111/j.1745-6584.2008.00486.x
  2. Zheng, C. et al. Can China cope with its water crisis?—perspectives from the North China Plain. Ground Water 48, 350–354 (2010). · doi:10.1111/j.1745-6584.2010.00695_3.x
  3. Wang, X. L. & Gaffen, D. J. Trends in extremes of surface humidity, temperature, and summertime heat stress in China. Adv. Atmos. Sci. 18, 742–751 (2001). · doi:10.1007/bf03403499
  4. Ding, T. & Qian, W. Geographical patterns and temporal variations of regional dry and wet heatwave events in China during 1960–2008. Adv. Atmos. Sci. 28, 322–337 (2011). · doi:10.1007/s00376-010-9236-7
  5. IPCC. Climate Change 2007: The Physical Science Basis(eds Solomon, S. et al.) (Cambridge University Press, Cambridge, 2007).
  6. Wang, Y. W., Zhai, P. M. & Tian, H. Extreme high temperatures in Southern China in 2003 under the background of climate change. Meteorol. Mon. 32, 27–33 (2006).
  7. Xu, B., Xu, A. H. & Tang, C. S. Severe high temperature analysis in Jiangxi during summer 2003. Jiangxi Meteorol. Sci. Technol. 26, 27–29 (2003).
  8. Chen, H. B. & Fan, X. H. Some extreme events of weather, climate and related phenomena in 2006. Clim. Environ. Res. 12, 100–112 (2007).
  9. Hou, W. et al. Climatic characteristics over China in 2013. Meteorol. Mon. 40, 491–501 (2014).
  10. Im, E.-S. & Eltahir, E. A. B. Enhancement of rainfall and runoff upstream from irrigation location in a climate model of West Africa. Water Resour. Res. 50, 8651–8674 (2014). · doi:10.1002/2014wr015592
  11. Winter, J. M., Pal, J. S. & Eltahir, E. A. B. Coupling of integrated biosphere simulator to Regional Climate Model Version 3. J. Clim. 22, 2743–2757 (2009). · doi:10.1175/2008jcli2541.1
  12. Gianotti, R. L. & Eltahir, E. A. B. Regional climate modeling over the maritime continent. Part I: New parameterization for convective cloud fraction. J. Clim. 27, 1488–1503 (2014). · doi:10.1175/jcli-d-13-00127.1
  13. Gianotti, R. L. & Eltahir, E. A. B. Regional climate modeling over the maritime continent. Part II: New parameterization for autoconversion of convective rainfall. J. Clim. 27, 1504–1523 (2014). · doi:10.1175/jcli-d-13-00171.1
  14. Gianotti, R. L., Zhang, D. & Eltahir, E. A. B. Assessment of the Regional Climate Model Version 3 over the Maritime Continent using different cumulus parameterization and land surface schemes. J. Clim. 25, 638–656 (2012). · doi:10.1175/jcli-d-11-00025.1
  15. Im, E.-S. & Eltahir, E. A. B. Simulation of the diurnal variation of rainfall over the western Maritime Continent using a regional climate model. Clim. Dyn. 51, 73–88 (2018). · doi:10.1007/s00382-017-3907-3
  16. Dee, D. P. et al. The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Q. J. R. Meteorol. Soc. 137, 553–597 (2011). · doi:10.1175/1520-0442(2002)015
  17. Meehl, G. A. et al. Climate system response to external forcings and climate change projections in CCSM4. J. Clim. 25, 3661–3683 (2012). · DOI

Cited by

See all 499

Metadata

Authors
Kang, S., & Eltahir, E. A. B.
Venue
Nature Communications
Published
2018-07-31
Volume
9
Issue
1
Pages
2894-2894
ISSN
2041-1723 (ISSN-L)
OpenAlex
W2883898014
Cited by
499
References
39
FWCI
24.18
Type
journal article
Language
en
Open access
gold
Licence

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: North China Plain threatened by deadly heatwaves due to climate change and irrigation. https://app.cochat.ai/papers/10.1038/s41467-018-05252-y
The paper
Kang, S., & Eltahir, E. A. B. (2018). North China Plain threatened by deadly heatwaves due to climate change and irrigation. Nature Communications. https://doi.org/10.1038/s41467-018-05252-y

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.