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Added value of CMIP6 over CMIP5 models in simulating Indian summer monsoon rainfall
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“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
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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.
What counts as a claim ›How we measure confidence ›How we check this ›
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