The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Dominant control of agriculture and irrigation on urban heat island in India
Open accessAbstract
As is true in many regions, India experiences surface Urban Heat Island (UHI) effect that is well understood, but the causes of the more recently discovered Urban Cool Island (UCI) effect remain poorly constrained. This raises questions about our fundamental understanding of the drivers of rural-urban environmental gradients and hinders development of effective strategies for mitigation and adaptation to projected heat stress increases in rapidly urbanizing India. Here we show that more than 60% of Indian urban areas are observed to experience a day-time UCI. We use satellite observations and the Community Land Model (CLM) to identify the impact of irrigation and prove for the first time that UCI is caused by lack of vegetation and moisture in non-urban areas relative to cities. In contrast, urban areas in extensively irrigated landscapes generally experience the expected positive UHI effect. At night, UHI warming intensifies, occurring across a majority (90%) of India’s urban areas. The magnitude of rural-urban temperature contrasts is largely controlled by agriculture and moisture availability from irrigation, but further analysis of model results indicate an important role for atmospheric aerosols. Thus both land-use decisions and aerosols are important factors governing, modulating, and even reversing the expected urban-rural temperature gradients.
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
Updated world map of the Köppen-Geiger climate classification
Peel, M. C., Finlayson, B. L., & McMahon, T. A. (2007) · doi:10.5194/hessd-4-439-2007 · Cited by 13,640
World map of the Köppen-Geiger climate classification updated
Kottek, M., Grieser, J., Beck, C., Rudolf, B., & Rubel, F. (2006) · Meteorologische Zeitschrift · doi:10.1127/0941-2948/2006/0130 · Cited by 11,456
Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools
Seto, K. C., Güneralp, B., & Hutyra, L. R. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1211658109 · Cited by 5,086 · cited 1×
“We analysed the LST data for the three regions: (1) high built-up area of the city or urban core, (2) low built up area inside the city boundary (urban area), and (3) a non-urban area that was at a distance away from the urban-core boundaries or rural belt (Table S1).”
MethodThe energetic basis of the urban heat island
Oke, T. R. (1982) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.49710845502 · Cited by 4,670
Strong contributions of local background climate to urban heat islands
Zhao, L., Lee, X., Smith, R. B., & Oleson, K. (2014) · Nature · doi:10.1038/nature13462 · Cited by 1,577
Surface Urban Heat Island Across 419 Global Big Cities
Peng, S., Piao, S., Ciais, P., Friedlingstein, P., Ottle, C., Bréon, F.-M., Nan, H., Zhou, L., & Myneni, R. B. (2012) · Environmental Science & Technology · doi:10.1021/es2030438 · Cited by 1,456
Climate change in cities due to global warming and urban effects
McCarthy, M. P., Best, M. J., & Betts, R. A. (2010) · Geophysical Research Letters · doi:10.1029/2010gl042845 · Cited by 821 · cited 1×
“We analysed the LST data for the three regions: (1) high built-up area of the city or urban core, (2) low built up area inside the city boundary (urban area), and (3) a non-urban area that was at a distance away from the urban-core boundaries or rural belt (Table S1).”
MethodMODIS detected surface urban heat islands and sinks: Global locations and controls
Clinton, N., & Gong, P. (2013) · Remote Sensing of Environment · doi:10.1016/j.rse.2013.03.008 · Cited by 521
Intensification of future severe heat waves in India and their effect on heat stress and mortality
Murari, K. K., Ghosh, S., Patwardhan, A., Daly, E., & Salvi, K. (2015) · Regional Environmental Change · doi:10.1007/s10113-014-0660-6 · Cited by 216
Cited by
Land use and land cover change effect on surface temperature over Eastern India
Gogoi, P. P., Vinoj, V., Swain, D., Roberts, G., Dash, J., & Tripathy, S. (2019) · Scientific Reports · doi:10.1038/s41598-019-45213-z · Cited by 268
Moist heat stress extremes in India enhanced by irrigation
Mishra, V., Ambika, A. K., Asoka, A., Aadhar, S., Buzan, J., Kumar, R., & Huber, M. (2020) · Nature Geoscience · doi:10.1038/s41561-020-00650-8 · Cited by 250
Self-citation
Metadata
- Authors
- Kumar, R., Mishra, V., Buzan, J., Kumar, R., Shindell, D., & Huber, M.
- Venue
- Scientific Reports
- Published
- 2017-10-25
- Volume
- 7
- Issue
- 1
- Pages
- 14054-14054
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2765573388
- Cited by
- 166
- References
- 9
- FWCI
- 5.87
- Type
- journal article
- Language
- en
- Open access
- gold
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: Dominant control of agriculture and irrigation on urban heat island in India. https://app.cochat.ai/papers/10.1038/s41598-017-14213-2
- The paper
- Kumar, R., Mishra, V., Buzan, J., Kumar, R., Shindell, D., & Huber, M. (2017). Dominant control of agriculture and irrigation on urban heat island in India. Scientific Reports. https://doi.org/10.1038/s41598-017-14213-2
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.