DOI: 10.5194/hess-20-2207-2016
Scopus记录号: 2-s2.0-84974555687
论文题名: Representation of spatial and temporal variability in large-domain hydrological models: Case study for a mesoscale pre-Alpine basin
作者: Melsen L ; , Teuling A ; , Torfs P ; , Zappa M ; , Mizukami N ; , Clark M ; , Uijlenhoet R
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2016
卷: 20, 期: 6 起始页码: 2207
结束页码: 2226
语种: 英语
Scopus关键词: Earth sciences
; Hydrologic connectivity
; Hydrological modelling
; Hydrological simulations
; Latin hypercube samples
; Spatial and temporal resolutions
; Spatial and temporal variability
; Spatial transferability
; Variable infiltration capacity models
; Hydrology
; alpine environment
; connectivity
; domain structure
; hydrological modeling
; infiltration
; mesoscale motion
; spatial resolution
; spatial variation
; spatiotemporal analysis
; temporal variation
; Switzerland
; Thur Basin
英文摘要: The transfer of parameter sets over different temporal and spatial resolutions is common practice in many large-domain hydrological modelling studies. The degree to which parameters are transferable across temporal and spatial resolutions is an indicator of how well spatial and temporal variability is represented in the models. A large degree of transferability may well indicate a poor representation of such variability in the employed models. To investigate parameter transferability over resolution in time and space we have set up a study in which the Variable Infiltration Capacity (VIC) model for the Thur basin in Switzerland was run with four different spatial resolutions (1 km × 1 km, 5 km × 5 km, 10 km × 10 km, lumped) and evaluated for three relevant temporal resolutions (hour, day, month), both applied with uniform and distributed forcing. The model was run 3150 times using the Hierarchical Latin Hypercube Sample and the best 1 % of the runs was selected as behavioural. The overlap in behavioural sets for different spatial and temporal resolutions was used as an indicator of parameter transferability. A key result from this study is that the overlap in parameter sets for different spatial resolutions was much larger than for different temporal resolutions, also when the forcing was applied in a distributed fashion. This result suggests that it is easier to transfer parameters across different spatial resolutions than across different temporal resolutions. However, the result also indicates a substantial underestimation in the spatial variability represented in the hydrological simulations, suggesting that the high spatial transferability may occur because the current generation of large-domain models has an inadequate representation of spatial variability and hydrologic connectivity. The results presented in this paper provide a strong motivation to further investigate and substantially improve the representation of spatial and temporal variability in large-domain hydrological models. © Author(s) 2016. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78826
Appears in Collections: 气候变化事实与影响
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作者单位: Hydrology and Quantitative Water Management Group, Wageningen University, Wageningen, Netherlands; Swiss Federal Research Institute (WSL), Birmensdorf, Switzerland; National Center for Atmospheric Research (NCAR), Boulder, CO, United States
Recommended Citation:
Melsen L,, Teuling A,, Torfs P,et al. Representation of spatial and temporal variability in large-domain hydrological models: Case study for a mesoscale pre-Alpine basin[J]. Hydrology and Earth System Sciences,2016-01-01,20(6)