The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Analysis of variability and trends of extreme rainfall events over India using 104 years of gridded daily rainfall data
Abstract
In this study, using 104 years (1901–2004) of high resolution daily gridded rainfall data, variability and long‐term trends of extreme rainfall events over central India have been examined. Frequency of extreme rainfall events shows significant inter‐annual and inter‐decadal variations in addition to a statistically significant long term trend of 6% per decade. Detailed analysis shows that inter‐annual, inter‐decadal and long‐term trends of extreme rainfall events are modulated by the SST variations over the tropical Indian Ocean. The present study supports the hypothesis that the increasing trend of extreme rainfall events in the last five decades could be associated with the increasing trend of sea surface temperatures and surface latent heat flux over the tropical Indian Ocean. In the global warming scenario, the coherent relationship between Indian Ocean SST and extreme rainfall events suggests an increase in the risk of major floods over central 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 Changing Character of Precipitation
Trenberth, K. E., Dai, A., Rasmussen, R. M., & Parsons, D. B. (2003) · Bulletin of the American Meteorological Society · doi:10.1175/bams-84-9-1205 · Cited by 3,196
Conceptual Framework for Changes of Extremes of the Hydrological Cycle with Climate Change
Trenberth, K. E. (1999) · Climatic Change · doi:10.1023/a:1005488920935 · Cited by 571
Cited by
A threefold rise in widespread extreme rain events over central India
Roxy, M. K., Ghosh, S., Pathak, A., Athulya, R., Mujumdar, M., Murtugudde, R., Terray, P., & Rajeevan, M. (2017) · Nature Communications · doi:10.1038/s41467-017-00744-9 · Cited by 828
Self-citationA review of types of risks in agriculture: What we know and what we need to know
Komarek, A. M., De Pinto, A., & Smith, V. H. (2020) · Agricultural Systems · doi:10.1016/j.agsy.2019.102738 · Cited by 437
Increase in extreme precipitation events under anthropogenic warming in India
Mukherjee, S., Aadhar, S., Stone, D., & Mishra, V. (2018) · Weather and Climate Extremes · doi:10.1016/j.wace.2018.03.005 · Cited by 435
On the observed variability of monsoon droughts over India
Niranjan Kumar, K., Rajeevan, M., Pai, D. S., Srivastava, A. K., & Preethi, B. (2013) · Weather and Climate Extremes · doi:10.1016/j.wace.2013.07.006 · Cited by 318
Self-citationTrends and variability of droughts over the Indian monsoon region
Mallya, G., Mishra, V., Niyogi, D., Tripathi, S., & Govindaraju, R. S. (2016) · Weather and Climate Extremes · doi:10.1016/j.wace.2016.01.002 · Cited by 286
Metadata
- Authors
- Rajeevan, M., Bhate, J., & Jaswal, A. K.
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2008-09
- Volume
- 35
- Issue
- 18
- ISSN
- 0094-8276 (ISSN-L)
- 1944-8007
- OpenAlex
- W2153379386
- Cited by
- 813
- References
- 2
- FWCI
- 7.64
- Type
- journal article
- Language
- en
- Open access
- closed
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: Analysis of variability and trends of extreme rainfall events over India using 104 years of gridded daily rainfall data. https://app.cochat.ai/papers/10.1029/2008gl035143
- The paper
- Rajeevan, M., Bhate, J., & Jaswal, A. K. (2008). Analysis of variability and trends of extreme rainfall events over India using 104 years of gridded daily rainfall data. Geophysical Research Letters. https://doi.org/10.1029/2008gl035143
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.