DOI: 10.1002/2016JD025097
论文题名: The impact of standard and hard-coded parameters on the hydrologic fluxes in the Noah-MP land surface model
作者: Cuntz M. ; Mai J. ; Samaniego L. ; Clark M. ; Wulfmeyer V. ; Branch O. ; Attinger S. ; Thober S.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2016
卷: 121, 期: 18 起始页码: 10676
结束页码: 10700
语种: 英语
英文关键词: hidden parameters
; Noah-MP
; parameter screening
; sensitivity analysis
; Sobol
Scopus关键词: atmospheric modeling
; calibration
; catchment
; flux measurement
; hydrological change
; hydrometeorology
; land surface
; latent heat flux
; parameterization
; runoff
; sensitivity analysis
; soil property
; water budget
; United States
英文摘要: Land surface models incorporate a large number of process descriptions, containing a multitude of parameters. These parameters are typically read from tabulated input files. Some of these parameters might be fixed numbers in the computer code though, which hinder model agility during calibration. Here we identified 139 hard-coded parameters in the model code of the Noah land surface model with multiple process options (Noah-MP). We performed a Sobol' global sensitivity analysis of Noah-MP for a specific set of process options, which includes 42 out of the 71 standard parameters and 75 out of the 139 hard-coded parameters. The sensitivities of the hydrologic output fluxes latent heat and total runoff as well as their component fluxes were evaluated at 12 catchments within the United States with very different hydrometeorological regimes. Noah-MP's hydrologic output fluxes are sensitive to two thirds of its applicable standard parameters (i.e., Sobol' indexes above 1%). The most sensitive parameter is, however, a hard-coded value in the formulation of soil surface resistance for direct evaporation, which proved to be oversensitive in other land surface models as well. Surface runoff is sensitive to almost all hard-coded parameters of the snow processes and the meteorological inputs. These parameter sensitivities diminish in total runoff. Assessing these parameters in model calibration would require detailed snow observations or the calculation of hydrologic signatures of the runoff data. Latent heat and total runoff exhibit very similar sensitivities because of their tight coupling via the water balance. A calibration of Noah-MP against either of these fluxes should therefore give comparable results. Moreover, these fluxes are sensitive to both plant and soil parameters. Calibrating, for example, only soil parameters hence limit the ability to derive realistic model parameters. It is thus recommended to include the most sensitive hard-coded model parameters that were exposed in this study when calibrating Noah-MP. ©2016. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62838
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Department of Computational Hydrosystems, UFZ-Helmholtz Centre for Environmental Research, Leipzig, Germany; Now at INRA-Université de Lorraine, UMR Ecologie et Ecophysiologie Forestières, Champenoux-Vandoeuvre Les Nancy, France; Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO, United States; Institute of Physics and Meteorology, University of Hohenheim, Stuttgart, Germany; Institute of Geosciences, University of Jena, Jena, Germany
Recommended Citation:
Cuntz M.,Mai J.,Samaniego L.,et al. The impact of standard and hard-coded parameters on the hydrologic fluxes in the Noah-MP land surface model[J]. Journal of Geophysical Research: Atmospheres,2016-01-01,121(18)