干旱区生态环境知识资源中心(Arid): Assessing the Robustness of Pan Evaporation Models for Estimating Reference Crop Evapotranspiration during Recalibration at Local Conditions

Arid

DOI	10.3390/hydrology7030062
	Assessing the Robustness of Pan Evaporation Models for Estimating Reference Crop Evapotranspiration during Recalibration at Local Conditions
	Babakos, Konstantinos; Papamichail, Dimitris; Tziachris, Panagiotis; Pisinaras, Vassilios; Demertzi, Kleoniki; Aschonitis, Vassilis
通讯作者	Aschonitis, V
来源期刊	HYDROLOGY
EISSN	2306-5338
出版年	2020
卷号	7 期号:3
英文摘要	A classic method for assessing the reference crop evapotranspiration (ETo) is the pan evaporation (E-pan) method that uses E-pan measurements and pan coefficient (k(p)) models, which can be functions of relative humidity (RH), wind speed (u(2)), and temperature (T). The aim of this study is to present a methodology for evaluating the robustness of regression coefficients associated to climate parameters (RH, u(2), and T) in pan method models during recalibration at local conditions. Two years of daily data from April to October (warm season) of meteorological parameters, E-pan measurements from class A pan evaporimeter and ETo estimated by ASCE-standardized method for the climatic conditions of Thessaloniki (Greece, semi-arid environment), were used. The regression coefficients of six general nonlinear (NLR) regression E-pan models were analyzed through recalibration using a technique called "random cross-validation nonlinear regression RCV-NLR" that produced 1000 random splits of the initial dataset into calibration and validation sets using a constant proportion (70% and 30%, respectively). The variance of the regression coefficients was analyzed based on the 95% interval of the highest posterior density distribution. NLR models that included coefficients with a 95% HPD interval that fluctuates in both positive and negative values were considered nonrobust. The machine-learning technique of random forests (RF) was also used to build a RF model that includes E-pan, u(2), RH, and T parameters. This model was used as a benchmark for evaluating the predictive accuracy of NLR models but, also, for assessing the relative importance of the predictor climate variables if they were all included in one NLR model. The findings of this study indicated that locally calibrated NLR functions that use only the E-pan parameter presented better results, while the inclusion of additional climate parameters was redundant and led to underfitting.
英文关键词	class A pan evaporation reference evapotranspiration pan models' recalibration at local conditions effects of climate parameters in pan evaporation models
类型	Article
语种	英语
开放获取类型	Other Gold
收录类别	ESCI
WOS记录号	WOS:000581715700001
WOS关键词	COEFFICIENT EQUATIONS ; HARGREAVES-SAMANI ; STANDARDIZATION ; REGION ; FLUX
WOS类目	Water Resources
WOS研究方向	Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/334694
作者单位	[Babakos, Konstantinos; Papamichail, Dimitris] Aristotle Univ Thessaloniki, Fac Agr Forestry & Nat Environm, Dept Hydraul Soil Sci & Agr Engn, Thessaloniki 54124, Greece; [Tziachris, Panagiotis; Pisinaras, Vassilios; Aschonitis, Vassilis] Hellen Agr Org Demeter, Soil & Water Resources Inst, Thermi 57001, Greece; [Demertzi, Kleoniki] Goulandris Nat Hist Museum, Greek Biotope Wetland Ctr, Thermi 57001, Greece
推荐引用方式 GB/T 7714	Babakos, Konstantinos,Papamichail, Dimitris,Tziachris, Panagiotis,et al. Assessing the Robustness of Pan Evaporation Models for Estimating Reference Crop Evapotranspiration during Recalibration at Local Conditions[J],2020,7(3).
APA	Babakos, Konstantinos,Papamichail, Dimitris,Tziachris, Panagiotis,Pisinaras, Vassilios,Demertzi, Kleoniki,&Aschonitis, Vassilis.(2020).Assessing the Robustness of Pan Evaporation Models for Estimating Reference Crop Evapotranspiration during Recalibration at Local Conditions.HYDROLOGY,7(3).
MLA	Babakos, Konstantinos,et al."Assessing the Robustness of Pan Evaporation Models for Estimating Reference Crop Evapotranspiration during Recalibration at Local Conditions".HYDROLOGY 7.3(2020).