The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
On the Variability and Increasing Trends of Heat Waves over India
Open accessAbstract
Over India, heat waves occur during the summer months of April to June. A gridded daily temperature data set for the period, 1961–2013 has been analyzed to examine the variability and trends in heat waves over India. For identifying heat waves, the Excess Heat Factor (EHF) and 90 th percentile of maximum temperatures were used. Over central and northwestern parts of the country, frequency, total duration and maximum duration of heat waves are increasing. Anomalous persistent high with anti-cyclonic flow, supplemented with clear skies and depleted soil moisture are primarily responsible for the occurrence of heat waves over India. Variability of heat waves over India is influenced by both the tropical Indian Ocean and central Pacific SST anomalies. The warming of the tropical Indian Ocean and more frequent El Nino events in future may further lead to more frequent and longer lasting heat waves over India.
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
The NCEP/NCAR 40-Year Reanalysis Project
Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha, S., White, G., Woollen, J., et al. (1996) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1996)077<0437:tnyrp>2.0.co;2 · Cited by 28,360
The ERA‐Interim reanalysis: configuration and performance of the data assimilation system
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., et al. (2011) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.828 · Cited by 24,480
Climate change 2007: the physical science basis
Solomon, S., Qin, D., Manning, M., Marquis, M. C., Averyt, K. B., Tignor, M., Miller, H. L., & Chen, Z. (2007) · Cited by 23,383
Rayner, N. A., Parker, D. E., Horton, E. B., Folland, C. K., Alexander, L. V., Rowell, D. P., Kent, E. C., & Kaplan, A. (2003) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2002jd002670 · Cited by 10,991
A two-dimensional interpolation function for irregularly-spaced data
Shepard, D. (1968) · Proceedings of the 1968 23rd ACM national conference on - · doi:10.1145/800186.810616 · Cited by 5,079
More Intense, More Frequent, and Longer Lasting Heat Waves in the 21st Century
Meehl, G. A., & Tebaldi, C. (2004) · Science · doi:10.1126/science.1098704 · Cited by 4,322
El Niño Modoki and its possible teleconnection
Ashok, K., Behera, S. K., Rao, S. A., Weng, H., & Yamagata, T. (2007) · Journal of Geophysical Research: Oceans · doi:10.1029/2006jc003798 · Cited by 2,721
Coumou, D., & Rahmstorf, S. (2012) · Nature Climate Change · doi:10.1038/nclimate1452 · Cited by 2,289
Observations: Surface and Atmospheric Climate Change
Trenberth, K. E., Jones, P. D., Ambenje, P., Bojariu, R., Easterling, D. R., Tank, A. K., Parker, D., Rahimzadeh, F., Renwick, J. A., Rusticucci, M., et al. (2007) · elib (German Aerospace Center) · Cited by 2,044
Land–atmosphere coupling and climate change in Europe
Seneviratne, S. I., Lüthi, D., Litschi, M., & Schär, C. (2006) · Nature · doi:10.1038/nature05095 · Cited by 1,698
Research works printed but not linked: 3
- Qin, D. et al. Climate change 2013: The physical science basis (p. 1535). T. Stocker (Ed.). Cambridge, UK and New York: Cambridge University Press (2014).
- De, U. S., Dube, R. K. & Prakasa Rao, G. S. Extreme weather events over India in the last 100 years. J. Ind. Geophys. Union. 9, 173–187 (2005).
- Smith, T. M. & Reynolds, R. W. Extended reconstruction of global sea surface temperature based on COADS data (1854–1997). J Climate. 16(10), 1495–1510 (2003). · doi:10.1175/1520-0442-16.10.1495
Cited by
Increasing trends in regional heatwaves
Perkins-Kirkpatrick, S. E., & Lewis, S. C. (2020) · Nature Communications · doi:10.1038/s41467-020-16970-7 · Cited by 1,912
Deadly heat waves projected in the densely populated agricultural regions of South Asia
Im, E.-S., Pal, J. S., & Eltahir, E. A. B. (2017) · Science Advances · doi:10.1126/sciadv.1603322 · Cited by 673
Climate resilient crops for improving global food security and safety
Dhankher, O. P., & Foyer, C. H. (2018) · Plant, Cell & Environment · doi:10.1111/pce.13207 · Cited by 416
Heat Waves: Physical Understanding and Scientific Challenges
Barriopedro, D., García‐Herrera, R., Ordóñez, C., Miralles, D. G., & Salcedo‐Sanz, S. (2023) · Reviews of Geophysics · doi:10.1029/2022rg000780 · Cited by 404
Extreme heat in India and anthropogenic climate change
van Oldenborgh, G. J., Philip, S., Kew, S., van Weele, M., Uhe, P., Otto, F., Singh, R., Pai, I., Cullen, H., & AchutaRao, K. (2018) · Natural Hazards and Earth System Sciences · doi:10.5194/nhess-18-365-2018 · Cited by 191
Metadata
- Authors
- Rohini, P., Rajeevan, M., & Srivastava, A. K.
- Venue
- Scientific Reports
- Published
- 2016-05-19
- Volume
- 6
- Issue
- 1
- Pages
- 26153-26153
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2400185503
- Cited by
- 448
- References
- 35
- FWCI
- 15.35
- Type
- journal article
- Language
- en
- Open access
- gold
- Licence
- creativecommons.org/licenses/by/4.0 (tdm)
- creativecommons.org/licenses/by/4.0 (vor)
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: On the Variability and Increasing Trends of Heat Waves over India. https://app.cochat.ai/papers/10.1038/srep26153
- The paper
- Rohini, P., Rajeevan, M., & Srivastava, A. K. (2016). On the Variability and Increasing Trends of Heat Waves over India. Scientific Reports. https://doi.org/10.1038/srep26153
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.
