DOI: 10.5194/hess-21-2843-2017
Scopus记录号: 2-s2.0-85020729710
论文题名: Land surface model performance using cosmic-ray and point-scale soil moisture measurements for calibration
作者: Iwema J ; , Rosolem R ; , Rahman M ; , Blyth E ; , Wagener T
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2017
卷: 21, 期: 6 起始页码: 2843
结束页码: 2861
语种: 英语
Scopus关键词: Calibration
; Cosmic ray measurement
; Cosmic rays
; Cosmology
; Heat flux
; Interfacial energy
; Latent heat
; Moisture
; Moisture control
; Neutrons
; Soil moisture
; Soils
; Surface measurement
; Calibration solutions
; Land surface modeling
; Soil moisture dynamics
; Soil moisture measurement
; Spatial variability
; Surface energy fluxes
; Vegetation condition
; Very high resolution
; Soil surveys
; calibration
; cosmic ray
; eddy covariance
; energy flux
; land surface
; latent heat flux
; measurement method
; performance assessment
; sensor
; soil moisture
; surface energy
英文摘要: At very high resolution scale (i.e. grid cells of 1 km2), land surface model parameters can be calibrated with eddy-covariance flux data and point-scale soil moisture data. However, measurement scales of eddy-covariance and point-scale data differ substantially. In our study, we investigated the impact of reducing the scale mismatch between surface energy flux and soil moisture observations by replacing point-scale soil moisture data with observations derived from Cosmic-Ray Neutron Sensors (CRNSs) made at larger spatial scales. Five soil and evapotranspiration parameters of the Joint UK Land Environment Simulator (JULES) were calibrated against point-scale and Cosmic-Ray Neutron Sensor soil moisture data separately. We calibrated the model for 12 sites in the USA representing a range of climatic, soil, and vegetation conditions. The improvement in latent heat flux estimation for the two calibration solutions was assessed by comparison to eddy-covariance flux data and to JULES simulations with default parameter values. Calibrations against the two soil moisture products alone did show an advantage for the cosmic-ray technique. However, further analyses of two-objective calibrations with soil moisture and latent heat flux showed no substantial differences between both calibration strategies. This was mainly caused by the limited effect of calibrating soil parameters on soil moisture dynamics and surface energy fluxes. Other factors that played a role were limited spatial variability in surface fluxes implied by soil moisture spatio-temporal stability, and data quality issues. © Author(s) 2017. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79156
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Civil Engineering, University of Bristol, Bristol, United Kingdom; Cabot Institute, University of Bristol, Bristol, United Kingdom; Centre for Ecology and Hydrology, Wallingford, United Kingdom
Recommended Citation:
Iwema J,, Rosolem R,, Rahman M,et al. Land surface model performance using cosmic-ray and point-scale soil moisture measurements for calibration[J]. Hydrology and Earth System Sciences,2017-01-01,21(6)