IGSNRR OpenIR  > 历年回溯文献
Hydrological monitoring and seasonal forecasting: Progress and perspectives
Tang Q. H.; Zhang, X. J.; Duan, Q. Y.; Huang, S. F.; Yuan, X.; Cui, H. J.; Li, Z.; Liu, X. C.
Source PublicationJournal of Geographical Sciences
2016
Volume26
Issue7
Pages904-920
Keywordhydrological monitoring hydrological forecasting uncertainty modeling remote sensing climate model conterminous united-states precipitation analysis tmpa ensemble prediction system data assimilation system land data assimilation yellow-river basin soil-moisture satellite precipitation climate forecasts changing climate
AbstractHydrological monitoring and seasonal forecasting is an active research field because of its potential applications in hydrological risk assessment, preparedness and mitigation. In recent decades, developments in ground and satellite measurements have made the hydrometeorological information readily available, and advances in information technology have facilitated the data analysis in a real-time manner. New progress in climate research and modeling has enabled the prediction of seasonal climate with reasonable accuracy and increased resolution. These emerging techniques and advances have enabled more timely acquisition of accurate hydrological fluxes and status, and earlier warning of extreme hydrological events such as droughts and floods. This paper gives current state-of-the-art understanding of the uncertainties in hydrological monitoring and forecasting, reviews the efforts and progress in operational hydrological monitoring system assisted by observations from various sources and experimental seasonal hydrological forecasting, and briefly introduces the current monitoring and forecasting practices in China. The grand challenges and perspectives for the near future are also discussed, including acquiring and extracting reliable information for monitoring and forecasting, predicting realistic hydrological fluxes and states in the river basin being significantly altered by human activity, and filling the gap between numerical models and the end user. We highlight the importance of understanding the needs of the operational water management and the priority to transfer research knowledge to decision-makers.
Indexed BySCI
Language英语
ISSN1009-637X
DOI10.1007/s11442-016-1306-z
Citation statistics
Cited Times:8[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeSCI/SSCI论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/43224
Collection历年回溯文献
Recommended Citation
GB/T 7714
Tang Q. H.,Zhang, X. J.,Duan, Q. Y.,et al. Hydrological monitoring and seasonal forecasting: Progress and perspectives. 2016.
Files in This Item: Download All
File Name/Size DocType Version Access License
Tang-2016-Hydrologic(364KB) 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Tang Q. H.]'s Articles
[Zhang, X. J.]'s Articles
[Duan, Q. Y.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Tang Q. H.]'s Articles
[Zhang, X. J.]'s Articles
[Duan, Q. Y.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Tang Q. H.]'s Articles
[Zhang, X. J.]'s Articles
[Duan, Q. Y.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Tang-2016-Hydrological monitor.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.