Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/joc.5825 |
Added value of dynamical downscaling for hydrological projections in the Chungju Basin, Korea | |
Lee, Moon-Hwan1; Lu, Mengqian1; Im, Eun-Soon1,2; Bae, Deg-Hyo3 | |
2019 | |
发表期刊 | INTERNATIONAL JOURNAL OF CLIMATOLOGY
![]() |
ISSN | 0899-8418 |
EISSN | 1097-0088 |
出版年 | 2019 |
卷号 | 39期号:1页码:516-531 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; South Korea |
英文摘要 | In this study, we assess whether dynamical downscaling using a regional climate model (RCM) would provide added value against the driving global climate model (GCM) and whether a statistically bias-corrected GCM could be used as an alternative to a bias-corrected RCM for assessing the hydrological response to climate change. The target region is the Chungju Basin in Korea, which is characterized by complex geographical features. The analysis focuses on runoff simulations driven by raw outputs and bias-corrected outputs from the HadGEM2-AO and RegCM4, which are used to generate national standard climate change scenarios throughout the Korean Peninsula. Statistical methods, such as linear scaling and quantile mapping, improve the performance in precipitation simulations and effectively correct the systematic biases seen with the climatological means of the HadGEM2-AO and RegCM4. Although there is no relevant difference between the bias-corrected HadGEM2-AO and RegCM4 in terms of long-term averaged climatology, the bias-corrected RegCM4 performs better in capturing the dominant mode of runoff variability and hydrological extremes (e.g., floods measured by 1-day maximum runoff and droughts measured by the standardized runoff index). Because the magnitude of the bias correction factor tends to influence the preservation of future change signals derived from raw and bias-corrected outputs, the HadGEM2-AO, which requires a large bias correction factor to compensate for poor performance, produces future changes in high flows with low coherence between the raw and bias-corrected projections. |
英文关键词 | dynamical downscaling hydrological response to climate change statistical bias correction |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000459638400037 |
WOS关键词 | REGIONAL CLIMATE MODEL ; BIAS CORRECTION ; CHANGE IMPACTS ; SOUTH-KOREA ; RIVER-BASIN ; DAILY PRECIPITATION ; DROUGHT PREDICTION ; PART 1 ; TEMPERATURE ; UNCERTAINTY |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/37454 |
专题 | 气候变化 |
作者单位 | 1.Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Hong Kong, Peoples R China; 2.Hong Kong Univ Sci & Technol, Div Environm & Sustainabil, Hong Kong, Peoples R China; 3.Sejong Univ, Dept Civil & Environm Engn, 209 Neungdong Ro, Seoul 143747, South Korea |
推荐引用方式 GB/T 7714 | Lee, Moon-Hwan,Lu, Mengqian,Im, Eun-Soon,et al. Added value of dynamical downscaling for hydrological projections in the Chungju Basin, Korea[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2019,39(1):516-531. |
APA | Lee, Moon-Hwan,Lu, Mengqian,Im, Eun-Soon,&Bae, Deg-Hyo.(2019).Added value of dynamical downscaling for hydrological projections in the Chungju Basin, Korea.INTERNATIONAL JOURNAL OF CLIMATOLOGY,39(1),516-531. |
MLA | Lee, Moon-Hwan,et al."Added value of dynamical downscaling for hydrological projections in the Chungju Basin, Korea".INTERNATIONAL JOURNAL OF CLIMATOLOGY 39.1(2019):516-531. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论