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DOI | 10.2166/wcc.2018.241 |
Trend analysis of watershed-scale annual and seasonal precipitation in Northern California based on dynamically downscaled future climate projections | |
Ishida K.; Ercan A.; Trinh T.; Jang S.; Kavvas M.L.; Ohara N.; Chen Z.Q.; Kure S.; Dib A. | |
发表日期 | 2020 |
ISSN | 20402244 |
起始页码 | 86 |
结束页码 | 105 |
卷号 | 11期号:1 |
英文摘要 | Impact of future climate change on watershed-scale precipitation was investigated over Northern California based on future climate projections by means of the dynamical downscaling approach. Thirteen different future climate projection realizations from two general circulation models (GCMs: ECHAM5 and CCSM3) based on four emission scenarios (SRES A1B, A1FI, A2, and B1) were dynamically downscaled to 9-km resolution grids over eight watersheds in Northern California for a period of 90 water years (2010–2100). Analysis of daily precipitation over the eight watersheds showed that precipitation values obtained from dynamical downscaling of the 1981 to 1999 control runs of ECHAM5 and CCSM3 GCMs compared well with the PRISM data. Long-term future trends of annual and seasonal basin-average precipitation were investigated. Although a large variability exists for the projected annual basin-average precipitation within each of the 13 individual realizations, there was no significant long-term trend over the eight study watersheds except for the downward trend in the A1FI scenario. On the other hand, significant upward and downward trends were detected in the seasonal basin-average precipitation except in the winter months (January, February, and March). The trend analysis results in this study indicated the importance of considering seasonal variability, scenario, and model uncertainty. © IWA Publishing 2020. |
英文关键词 | Annual and seasonal precipitation; Dynamical downscaling; Future climate change; Regional climate model (RCM); Trend analysis; Watershed-scale |
语种 | 英语 |
scopus关键词 | Climate change; Uncertainty analysis; Watersheds; Daily precipitations; Dynamical downscaling; Emission scenario; Future climate projections; General circulation model; Model uncertainties; Seasonal precipitations; Seasonal variability; Climate models; annual variation; climate change; climate modeling; climate prediction; downscaling; future prospect; general circulation model; precipitation (climatology); seasonal variation; trend analysis; uncertainty analysis; watershed; California; United States |
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/147950 |
作者单位 | Hydrologic Research Laboratory, Department of Civil and Environmental Engineering, University of California, Davis, One Shields Avenue, Davis, CA 95616, United States; Faculty of Advanced Science and Technology, Kumamoto University, 2-39-1 Kurokami, Kumamoto, 860-8555, Japan; J. Amorocho Hydraulics Laboratory, Department of Civil and Environmental Engineering, University of California, Davis, One Shields Avenue, Davis, CA 95616, United States; Korea Institute of Water and Environment, Korea Water Resources Corporation, Daejeon, 305-730, South Korea; Civil and Architectural Engineering, University of Wyoming, Laramie, WY 82071, United States; California Department of Water Resources, Bay Delta Office, Sacramento, CA 95814, United States; Department of Environmental Engineering, Toyama Prefectural University, Toyama, 939-0398, Japan |
推荐引用方式 GB/T 7714 | Ishida K.,Ercan A.,Trinh T.,et al. Trend analysis of watershed-scale annual and seasonal precipitation in Northern California based on dynamically downscaled future climate projections[J],2020,11(1). |
APA | Ishida K..,Ercan A..,Trinh T..,Jang S..,Kavvas M.L..,...&Dib A..(2020).Trend analysis of watershed-scale annual and seasonal precipitation in Northern California based on dynamically downscaled future climate projections.Journal of Water and Climate Change,11(1). |
MLA | Ishida K.,et al."Trend analysis of watershed-scale annual and seasonal precipitation in Northern California based on dynamically downscaled future climate projections".Journal of Water and Climate Change 11.1(2020). |
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