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DOI | 10.2166/wcc.2018.004 |
Assessment of future rainfall for the Brahmani-Baitarani river basin – Practical implications of limited data availability | |
Dahm R.J.; Sperna Weiland F.C.; Singh U.K.; Lal M.; Marchand M.; Singh S.K.; Singh M.P. | |
发表日期 | 2019 |
ISSN | 20402244 |
起始页码 | 782 |
结束页码 | 798 |
卷号 | 10期号:4 |
英文摘要 | Severe floods are common in the Brahmani-Baitarani river basin in India. Insights into the implications of climate change on rainfall extremes and resulting floods are of major importance to improve flood risk analysis and water system design. A wide range of statistical and dynamical downscaling and bias-correction methods for the generation of local climate projections exists. Yet, the applicability of these methods highly depends on availability of meteorological data. In developing countries, data availability is often limited, either because data do not exist or because of restrictions on use. We here present a climate change analysis for the Brahmani-Baitarani river basin focusing on changes in rainfall using data from three GCMs from the Fifth Coupled Model Intercomparison Project (CMIP5) that were selected based on their performance. We apply and compare two widely used and easy to implement bias-correction methods. These were selected because reliable open historical meteorological datasets required for advanced methods were not available. The results indicate likely increases in monsoon rainfall especially in the mountainous regions and likely increases in the number of heavy rain days. We conclude with a discussion on the gap between state-of-the-art downscaling techniques and the actual options in regional climate change assessments. © IWA Publishing 2019. |
英文关键词 | Bias-correction; Brahmani-Baitarani river basin; Climate change; Data availability; Downscaling; India |
语种 | 英语 |
scopus关键词 | Climate models; Developing countries; Floods; Rain; Risk analysis; Risk assessment; River basin projects; Rivers; Watersheds; Bias correction; Data availability; Down-scaling; India; River basins; Climate change; climate change; CMIP; correction; downscaling; future prospect; general circulation model; rainfall; river basin; Baitarani Basin; Brahmani Basin; India; Odisha |
来源期刊 | Journal of Water and Climate Change
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/147974 |
作者单位 | Deltares, Boussinesqweg 1, P.O. Box 177, Delft, 2600 MH, Netherlands; RMSI, A-8 Sector 16, Noida, 201 30, India; Central Water Commission, R.K. Puram, New Delhi, 110 066, India |
推荐引用方式 GB/T 7714 | Dahm R.J.,Sperna Weiland F.C.,Singh U.K.,等. Assessment of future rainfall for the Brahmani-Baitarani river basin – Practical implications of limited data availability[J],2019,10(4). |
APA | Dahm R.J..,Sperna Weiland F.C..,Singh U.K..,Lal M..,Marchand M..,...&Singh M.P..(2019).Assessment of future rainfall for the Brahmani-Baitarani river basin – Practical implications of limited data availability.Journal of Water and Climate Change,10(4). |
MLA | Dahm R.J.,et al."Assessment of future rainfall for the Brahmani-Baitarani river basin – Practical implications of limited data availability".Journal of Water and Climate Change 10.4(2019). |
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