globalchange  > 气候变化事实与影响
DOI: 10.5194/hess-21-4323-2017
Scopus记录号: 2-s2.0-85028756586
论文题名:
Toward seamless hydrologic predictions across spatial scales
作者: Samaniego L; , Kumar R; , Thober S; , Rakovec O; , Zink M; , Wanders N; , Eisner S; , Müller Schmied H; , Sutanudjaja E; , Warrach-Sagi K; , Attinger S
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2017
卷: 21, 期:9
起始页码: 4323
结束页码: 4346
语种: 英语
Scopus关键词: Earth sciences ; Hydrology ; Hydrologic models ; Hydrologic parameters ; Hydrologic prediction ; Matching condition ; Operational model ; Parameter regionalization ; Spatial resolution ; Unsolved problems ; Catchments ; catchment ; hydrological modeling ; numerical model ; parameterization ; prediction ; spatial analysis ; spatial resolution
英文摘要: Land surface and hydrologic models (LSMs/HMs) are used at diverse spatial resolutions ranging from catchment-scale (1-10 km) to global-scale (over 50 km) applications. Applying the same model structure at different spatial scales requires that the model estimates similar fluxes independent of the chosen resolution, i.e., fulfills a flux-matching condition across scales. An analysis of state-of-the-art LSMs and HMs reveals that most do not have consistent hydrologic parameter fields. Multiple experiments with the mHM, Noah-MP, PCR-GLOBWB, and WaterGAP models demonstrate the pitfalls of deficient parameterization practices currently used in most operational models, which are insufficient to satisfy the flux-matching condition. These examples demonstrate that J. Dooge's 1982 statement on the unsolved problem of parameterization in these models remains true. Based on a review of existing parameter regionalization techniques, we postulate that the multiscale parameter regionalization (MPR) technique offers a practical and robust method that provides consistent (seamless) parameter and flux fields across scales. Herein, we develop a general model protocol to describe how MPR can be applied to a particular model and present an example application using the PCR-GLOBWB model. Finally, we discuss potential advantages and limitations of MPR in obtaining the seamless prediction of hydrological fluxes and states across spatial scales. © 2017 Author(s).
Citation statistics:
被引频次[WOS]:79   [查看WOS记录]     [查看WOS中相关记录]
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79076
Appears in Collections:气候变化事实与影响

Files in This Item:

There are no files associated with this item.


作者单位: Department of Computational Hydrosystems, Helmholtz Centre for Environmental Research, Leipzig, Germany; Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ, United States; Center for Environmental Systems Research, University of Kassel, Kassel, Germany; Institute of Physical Geography, Goethe-University Frankfurt, Frankfurt, Germany; Senckenberg Biodiversity and Climate Research Centre, Frankfurt, Germany; Universiteit Utrecht, Department of Physical Geography, Utrecht, Netherlands; Institute of Physics and Meteorology, University of Hohenheim, Stuttgart, Germany; Division for Forestry and Forest Resources, Norwegian Institute of Bioeconomy Research, Ås, Norway

Recommended Citation:
Samaniego L,, Kumar R,, Thober S,et al. Toward seamless hydrologic predictions across spatial scales[J]. Hydrology and Earth System Sciences,2017-01-01,21(9)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Samaniego L]'s Articles
[, Kumar R]'s Articles
[, Thober S]'s Articles
百度学术
Similar articles in Baidu Scholar
[Samaniego L]'s Articles
[, Kumar R]'s Articles
[, Thober S]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Samaniego L]‘s Articles
[, Kumar R]‘s Articles
[, Thober S]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

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