DOI: 10.5194/hess-21-1769-2017
Scopus记录号: 2-s2.0-85016512654
论文题名: A high-resolution dataset of water fluxes and states for Germany accounting for parametric uncertainty
作者: Zink M ; , Kumar R ; , Cuntz M ; , Samaniego L
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2017
卷: 21, 期: 3 起始页码: 1769
结束页码: 1790
语种: 英语
Scopus关键词: Evapotranspiration
; Groundwater
; Moisture
; Recharging (underground waters)
; Soil moisture
; Stream flow
; Surface measurement
; Ground water recharge
; High resolution data
; Hydrological modeling
; Land surface models
; Parametric uncertainties
; Spatial and temporal resolutions
; Standard deviation
; Streamflow simulations
; Uncertainty analysis
; calibration
; data set
; eddy covariance
; evapotranspiration
; hydrological modeling
; land surface
; parameterization
; recharge
; river basin
; soil moisture
; streamflow
; uncertainty analysis
; Germany
英文摘要: Long-term, high-resolution data about hydrologic fluxes and states are needed for many hydrological applications. Because continuous large-scale observations of such variables are not feasible, hydrologic or land surface models are applied to derive them. This study aims to analyze and provide a consistent high-resolution dataset of land surface variables over Germany, accounting for uncertainties caused by equifinal model parameters. The mesoscale Hydrological Model (mHM) is employed to derive an ensemble (100 members) of evapotranspiration, groundwater recharge, soil moisture, and runoff generated at high spatial and temporal resolutions (4 km and daily, respectively) for the period 1951-2010. The model is cross-evaluated against the observed daily streamflow in 222 basins, which are not used for model calibration. The mean (standard deviation) of the ensemble median Nash-Sutcliffe efficiency estimated for these basins is 0.68 (0.09) for daily streamflow simulations. The modeled evapotranspiration and soil moisture reasonably represent the observations from eddy covariance stations. Our analysis indicates the lowest parametric uncertainty for evapotranspiration, and the largest is observed for groundwater recharge. The uncertainty of the hydrologic variables varies over the course of a year, with the exception of evapotranspiration, which remains almost constant. This study emphasizes the role of accounting for the parametric uncertainty in model-derived hydrological datasets. © 2017 Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79212
Appears in Collections: 气候变化事实与影响
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作者单位: Helmholtz Centre for Environmental Research - UFZ, Department Computational Hydrosystems, Permoserstraße 15, Leipzig, Germany; INRA, Université de Lorraine, UMR1137 Ecologie et Ecophysiologie Forestières, Champenoux, France
Recommended Citation:
Zink M,, Kumar R,, Cuntz M,et al. A high-resolution dataset of water fluxes and states for Germany accounting for parametric uncertainty[J]. Hydrology and Earth System Sciences,2017-01-01,21(3)