Model output statistics downscaling using support vector machine for the projection of spatial and temporal changes in rainfall of Bangladesh
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Selecting GCMs that best represent the climate of the study region is a pre-requisite for climate change studies.
“Therefore, selecting the GCMs that best represent the climate of the study region is a pre-requisite for climate change studies, but it is seldom followed (Chiew et al. 2009;McMahon et al. 2015;Pour et al. 2018).”
From Catchment response to climate change under CMIP6 scenarios: a case study of the Krishna River Basin (2024) · cites this paper as Pour et al. 2018
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 · see citing works
The use of the multi-model ensemble in probabilistic climate projections
Tebaldi, C., & Knutti, R. (2007) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2007.2076 · Cited by 1,862 · see citing works
Climate model genealogy: Generation CMIP5 and how we got there
Knutti, R., Masson, D., & Gettelman, A. (2013) · Geophysical Research Letters · doi:10.1002/grl.50256 · Cited by 918 · see citing works
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Momade, M., Durdyev, S., Estrella, D., & Ismail, S. (2021) · Frontiers in Engineering and Built Environment · doi:10.1108/febe-07-2021-0036 · Cited by 45 · see citing works
Catchment response to climate change under CMIP6 scenarios: a case study of the Krishna River Basin
Anil, S., P, A. R., & Vema, V. K. (2024) · Journal of Water and Climate Change · doi:10.2166/wcc.2024.442 · Cited by 16 · see citing works
- Authors
- Pour, S. H., Shahid, S., Chung, E.-S., & Wang, X.-J.
- Affiliations
- University of Technology Malaysia (MY)
- Seoul National University of Science and Technology (KR)
- State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering (CN)
- Corresponding author
- Pour, Sahar Hadi
- Venue
- Atmospheric Research
- Publisher
- Elsevier BV
- Published
- 2018-11
- Volume
- 213
- Pages
- 149-162
- ISSN
- 0169-8095 (ISSN-L)
- OpenAlex
- W2807236430
- Cited by
- 183
- References
- 3
- Citations by year
- 2026: 9 · 2025: 16 · 2024: 20 · 2023: 21 · 2022: 41 · 2021: 17 · 2020: 25 · 2019: 29 · 2018: 5
- FWCI
- 10.71
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Atmospheric Research (publishedVersion)
- UTM Institutional Repository (acceptedVersion)
- Funders
- Universiti Teknologi Malaysia
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Precipitation Measurement and Analysis
- Physical Sciences › Environmental Science › Water Science and Technology › Hydrology and Watershed Management Studies
- Keywords
- support vector machine, rainfall projections, climate change impacts on precipitation, RCP scenarios, monsoon rainfall, Bangladesh
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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