The DOI matches its Crossref record; 55 of the 56 references it cites were found in a registry or an index.
Added value of CMIP6 over CMIP5 models in simulating Indian summer monsoon rainfall
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“It is reported that CMIP6 GCMs are more efficient in simulating the Indian summer monsoon (ISM) than CMIP5 GCMs (Gusain et al. 2020).”
From Catchment response to climate change under CMIP6 scenarios: a case study of the Krishna River Basin (2024) · cites this paper as Gusain et al. 2020
Citations
Cites
An Overview of CMIP5 and the Experiment Design
Taylor, K. E., Stouffer, R. J., & Meehl, G. A. (2012) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-11-00094.1 · Cited by 14,052
Eyring, V., Bony, S., Meehl, G. A., Senior, C. A., Stevens, B., Stouffer, R. J., & Taylor, K. E. (2016) · Geoscientific Model Development · doi:10.5194/gmd-9-1937-2016 · Cited by 11,981
A dipole mode in the tropical Indian Ocean
Saji, N. H., Goswami, B. N., Vinayachandran, P. N., & Yamagata, T. (1999) · Nature · doi:10.1038/43854 · Cited by 5,510
The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6
O'Neill, B. C., Tebaldi, C., van Vuuren, D. P., Eyring, V., Friedlingstein, P., Hurtt, G., Knutti, R., Kriegler, E., Lamarque, J.-F., Lowe, J., et al. (2016) · Geoscientific Model Development · doi:10.5194/gmd-9-3461-2016 · Cited by 5,241
Coupled ocean–atmosphere dynamics in the Indian Ocean during 1997–98
Webster, P. J., Moore, A. M., Loschnigg, J. P., & Leben, R. R. (1999) · Nature · doi:10.1038/43848 · Cited by 2,144
On the Weakening Relationship Between the Indian Monsoon and ENSO
Kumar, K., Rajagopalan, B., & Cane, M. A. (1999) · Science · doi:10.1126/science.284.5423.2156 · Cited by 1,618
Anthropogenic contribution to global occurrence of heavy-precipitation and high-temperature extremes
Fischer, E. M., & Knutti, R. (2015) · Nature Climate Change · doi:10.1038/nclimate2617 · Cited by 1,427
High Resolution Model Intercomparison Project (HighResMIP v1.0) for CMIP6
Haarsma, R., Roberts, M. J., Vidale, P. L., Senior, C. A., Bellucci, A., Bao, Q., Chang, P., Corti, S., Fučkar, N. S., Guémas, V., et al. (2016) · Geoscientific model development · doi:10.5194/gmd-9-4185-2016 · Cited by 1,229
Evaluation of CMIP6 DECK Experiments With CNRM‐CM6‐1
Voldoire, A., Saint‐Martin, D., Sénési, S., Decharme, B., Alias, A., Chevallier, M., Colin, J., Guérémy, J., Michou, M., Moine, M., et al. (2019) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2019ms001683 · Cited by 1,184
The Beijing Climate Center Climate System Model (BCC-CSM): the main progress from CMIP5 to CMIP6
Wu, T., Lu, Y., Fang, Y., Xin, X., Li, L., Li, W., Jie, W., Zhang, J., Liu, Y., Zhang, L., et al. (2019) · Geoscientific Model Development · doi:10.5194/gmd-12-1573-2019 · Cited by 1,069
Cited by
Sorted by citations
Items 401–409 of 409
Narahari, M., Rawal, N., Soni, P., & Maurya, S. (2026) · Journal of Water and Climate Change · doi:10.2166/wcc.2026.131
Kumari, A., Kumar, P., & Murukesh, M. (2026) · Pure and Applied Geophysics · doi:10.1007/s00024-026-04097-7
Drissia, T. K., & Radhakrishnan, R. (2026) · Urban Climate · doi:10.1016/j.uclim.2026.103163
Aadrita, M. M., & Alam, S. (2026) · Research Square · doi:10.21203/rs.3.rs-11340292/v1
A novel entropy-based composite index for ranking General Circulation Models under CMIP6
Rawat, K., & Sahoo, B. (2026) · Theoretical and Applied Climatology · doi:10.1007/s00704-026-06642-9
Aadrita, M., & Alam, S. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7635722
Climate simulations: An assessment of CMIP6 models—Precipitation
Chadwick, R. S., Leung, L. R., & Priestley, M. D. K. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-15748-6.00124-6
Khadka, Y., Sharma, S., Regmi, S., Bishwakarma, S., Bhatta, S., Pandey, S., Devkota, N., & Poudel, G. P. (2026) · Water Practice & Technology · doi:10.2166/wpt.2026.509
Katipoğlu, O. M., Kartal, V., Akıner, M. E., Tuğrul, T., İkincioğulları, E., & Çelik, M. A. (2026) · Physics and Chemistry of the Earth Parts A/B/C · doi:10.1016/j.pce.2026.104933
Metadata
- Authors
- Gusain, A., Ghosh, S., & Karmakar, S.
- Affiliations
- Indian Institute of Technology Bombay (IN)
- Corresponding author
- Karmakar, S.
- Venue
- Atmospheric Research
- Publisher
- Elsevier BV
- Published
- 2020-02
- Volume
- 232
- Pages
- 104680
- ISSN
- 0169-8095 (ISSN-L)
- OpenAlex
- W2973173718
- Cited by
- 408
- References
- 56
- Citations by year
- 2026: 50 · 2025: 60 · 2024: 70 · 2023: 73 · 2022: 70 · 2021: 61 · 2020: 24
- FWCI
- 19.95
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Atmospheric Research (publishedVersion)
- Funders
- Department of Science & Technology (DST/CCP/CoE/140/2018, 00000000000010013072 (UC ID: 18192442))
- Government of India
- World Climate Research Programme
- CNRM-CM6-1
- IPSL-CM6A-LR
- Indian Institute of Technology Bombay
- IIT Bombay
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Geology and Paleoclimatology Research
- Keywords
- Indian summer monsoon rainfall, CMIP6, CMIP5, model intercomparison, multi-model ensemble, Western Ghats, Himalaya, annual maximum daily rainfall, global warming, precipitation simulation
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.
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