题名 | Global reach-level 3-hourly river flood reanalysis (1980–2019) |
作者 | |
通讯作者 | Yang,Yuan |
发表日期 | 2021-11-01
|
DOI | |
发表期刊 | |
ISSN | 0003-0007
|
EISSN | 1520-0477
|
卷号 | 102期号:11页码:E2086-E2105 |
摘要 | Better understanding and quantification of river floods for very local and “flashy” events calls for modeling capability at fine spatial and temporal scales. However, long-term discharge records with a global coverage suitable for extreme events analysis are still lacking. Here, grounded on recent breakthroughs in global runoff hydrology, river modeling, high-resolution hydrography, and climate reanalysis, we developed a 3-hourly river discharge record globally for 2.94 million river reaches during the 40-yr period of 1980–2019. The underlying modeling chain consists of the VIC land surface model (0.05°, 3-hourly) that is well calibrated and bias corrected and the RAPID routing model (2.94 million river and catchment vectors), with precipitation input from MSWEP and other meteorological fields downscaled from ERA5. Flood events (above 2-yr return) and their characteristics (number, spatial distribution, and seasonality) were extracted and studied. Validations against 3-hourly flow records from 6,000+ gauges in CONUS and daily records from 14,000+ gauges globally show good modeling performance across all flow ranges, good skills in reconstructing flood events (high extremes), and the benefit of (and need for) subdaily modeling. This data record, referred as Global Reach-Level Flood Reanalysis (GRFR), is publicly available at https://www.reachhydro.org/home/records/grfr. |
关键词 | |
相关链接 | [Scopus记录] |
收录类别 | |
语种 | 英语
|
学校署名 | 其他
|
EI入藏号 | 20214811227457
|
EI主题词 | Catchments
; Floods
; Gages
; Rivers
|
EI分类号 | Accidents and Accident Prevention:914.1
; Special Purpose Instruments:943.3
|
ESI学科分类 | GEOSCIENCES
|
Scopus记录号 | 2-s2.0-85115965622
|
来源库 | Scopus
|
引用统计 |
被引频次[WOS]:39
|
成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/256871 |
专题 | 工学院_环境科学与工程学院 |
作者单位 | 1.Department of Civil and Environmental Engineering,Princeton University,Princeton,United States 2.State Key Laboratory of Hydroscience and Engineering,Department of Hydraulic Engineering,Tsinghua University,Beijing,China 3.Center for Western Weather and Water Extremes,Scripps Institution of Oceanography,University of California,San Diego,La Jolla,United States 4.Institute of Remote Sensing and GIS,School of Earth and Space Sciences,Peking University,Beijing,China 5.Joint Research Centre,European Commission,Ispra,Italy 6.School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen,China 7.Institute of Industrial Science,The University of Tokyo,Tokyo,Japan 8.Jet Propulsion Laboratory,California Institute of Technology,Pasadena,United States 9.Department of Earth System Science,Ministry of Education Key Laboratory for Earth System Modeling,Institute for Global Change Studies,Tsinghua University,Beijing,China 10.School of Civil Engineering and Environmental Sciences,University of Oklahoma,Norman,United States |
推荐引用方式 GB/T 7714 |
Yang,Yuan,Pan,Ming,Lin,Peirong,等. Global reach-level 3-hourly river flood reanalysis (1980–2019)[J]. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY,2021,102(11):E2086-E2105.
|
APA |
Yang,Yuan.,Pan,Ming.,Lin,Peirong.,Beck,Hylke E..,Zeng,Zhenzhong.,...&Wood,Eric F..(2021).Global reach-level 3-hourly river flood reanalysis (1980–2019).BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY,102(11),E2086-E2105.
|
MLA |
Yang,Yuan,et al."Global reach-level 3-hourly river flood reanalysis (1980–2019)".BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY 102.11(2021):E2086-E2105.
|
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