DOI: 10.5194/hess-20-4641-2016
Scopus记录号: 2-s2.0-84996671418
论文题名: Performance of site-specific parameterizations of longwave radiation
作者: Formetta G ; , Bancheri M ; , David O ; , Rigon R
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2016
卷: 20, 期: 11 起始页码: 4641
结束页码: 4654
语种: 英语
Scopus关键词: Atmospheric humidity
; Atmospheric radiation
; Atmospheric temperature
; Calibration
; Regression analysis
; Sensitivity analysis
; Soils
; Statistical methods
; Temperature
; Automatic calibration
; Energy flux measurements
; Leave-one-out cross validations
; Mean annual air temperatures
; Parameter influences
; Root mean square errors
; Site-specific parameters
; Surface soil temperatures
; Mean square error
英文摘要: In this work 10 algorithms for estimating downwelling longwave atmospheric radiation (L↓) and 1 for upwelling longwave radiation (L↑) are integrated into the JGrass-NewAge modelling system. The algorithms are tested against energy flux measurements available for 24 sites in North America to assess their reliability. These new JGrass-NewAge model components are used (i) to evaluate the performances of simplified models (SMs) of L↓, as presented in literature formulations, and (ii) to determine by automatic calibration the site-specific parameter sets for L↓ in SMs. For locations where calibration is not possible because of a lack of measured data, we perform a multiple regression using on-site variables, i.e. mean annual air temperature, relative humidity, precipitation, and altitude. The regressions are verified through a leave-one-out cross validation, which also gathers information about the possible errors of estimation. Most of the SMs, when executed with parameters derived from the multiple regressions, give enhanced performances compared to the corresponding literature formulation. A sensitivity analysis is carried out for each SM to understand how small variations of a given parameter influence SM performance. Regarding the L↓ simulations, the Brunt (1932) and Idso (1981) SMs, in their literature formulations, provide the best performances in many of the sites. The site-specific parameter calibration improves SM performances compared to their literature formulations. Specifically, the root mean square error (RMSE) is almost halved and the Kling-Gupta efficiency is improved at all sites. Also in this case, Brunt (1932) and Idso (1981) SMs provided the best performances. The L↑ SM is tested by using three different temperatures (surface soil temperature, air temperature at 2 m elevation, and soil temperature at 4 cm depth) and model performances are then assessed. Results show that the best performances are achieved using the surface soil temperature and the air temperature. © Author(s) 2016. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78684
Appears in Collections: 气候变化事实与影响
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作者单位: Centre for Ecology and Hydrology, Crowmarsh Gifford, Wallingford, United Kingdom; Dipartimento di Ingegneria Civile Ambientale e Meccanica, Universita' degli Studi di Trento, Trent, Italy; Dept. of Civil and Environmental Engineering, Colorado State University, Fort Collins, CO, United States
Recommended Citation:
Formetta G,, Bancheri M,, David O,et al. Performance of site-specific parameterizations of longwave radiation[J]. Hydrology and Earth System Sciences,2016-01-01,20(11)