Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 448

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 access
Rohini, P., Rajeevan, M., Srivastava, A. K.·2016·Scientific Reports

Abstract

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.

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

Integrity signals

Registry

Crossref · 10.1038/srep26153

Cites

35 of 35 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

Research works printed but not linked: 3

  1. 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).
  2. 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).
  3. 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

See all 448

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

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

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.