Forecast of Daily Reference Evapotranspiration Using a Modified Daily Thornthwaite Equation and Temperature Forecasts†

被引:17
作者
Chang, Xiaomin [1 ,2 ]
Wang, Shaoli [1 ,2 ]
Gao, Zhanyi [1 ,2 ]
Luo, Yufeng [3 ]
Chen, Haorui [1 ,2 ,3 ]
机构
[1] China Inst Water Resources & Hydropower Res, Dept Irrigat & Drainage, State Key Lab Simulat & Regulat Water Cycle River, Beijing 100038, Peoples R China
[2] Natl Ctr Efficient Irrigat Engn & Technol Res, Beijing, Peoples R China
[3] Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan, Hubei, Peoples R China
基金
中国国家自然科学基金;
关键词
reference evapotranspiration; public weather forecasts; modified Thornthwaite equation; calibration; irrigation demand forecast; REFERENCE CROP EVAPOTRANSPIRATION; HARGREAVES-SAMANI EQUATION; ARTIFICIAL NEURAL-NETWORK; LIMITED CLIMATIC DATA; POTENTIAL EVAPOTRANSPIRATION; MODEL; CALIBRATION; ADAPTATION; RADIATION; CHINA;
D O I
10.1002/ird.2309
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Short-term daily reference evapotranspiration (ET0) forecasts are helpful for real-time irrigation decision making. Using a modified daily Thornthwaite (TH) equation and temperature forecasts, a method was proposed for ET0 forecasting. Daily meteorological data were obtained from the selected representative stations located in different climate regions in China. Data were collected from 2000 to 2012 to calibrate and validate the modified TH equation against the FAO56 Penman-Monteith (FAO56-PM) equation. Temperatures forecasts for a 7-day forecast period in 2012-2017 were input to the calibrated TH equation to forecast ET0. The results showed that the ET0 forecasting performance with the modified TH equation and temperature forecast was further improved at all stations after month-wise calibration. The average accuracy of forecasted ET0 ranged from 87.3 to 91.2%, the average values of root mean square error (RMSE) ranged from 0.86 to 1.01 mm day ? (1); moreover, the average of regression coefficient (b), determined coefficient (R-2) and modelling efficiency (EF) are greater than 0.82, 0.87 and 0.81. Furthermore, the sensitivity analyses show that the percentage change in ET0 forecast was more sensitive to predictions of temperature during the spring-summer period than autumn-winter. The proposed method produced good results of ET0 forecasts and can be a feasible solution for short-term forecasting of ET0. (c) 2018 John Wiley & Sons, Ltd.
引用
收藏
页码:297 / 317
页数:21
相关论文
共 71 条
[1]   Spatially distributed monthly reference evapotranspiration derived from the calibration of Thornthwaite equation: a case study, South of Iran [J].
Ahmadi, Seyed Hamid ;
Fooladmand, Hamid Reza .
IRRIGATION SCIENCE, 2008, 26 (04) :303-312
[2]   Daily reference evapotranspiration estimates by the "Copais" approach [J].
Alexandris, S ;
Kerkides, P ;
Liakatas, A .
AGRICULTURAL WATER MANAGEMENT, 2006, 82 (03) :371-386
[3]  
Alexandris S., 2008, European Water, V21, P17
[4]  
Allen R. G., 1993, Evaluation of a Temperature Difference Method for Computing Grass Reference Evapotranspiration
[5]  
Allen R.G., 1998, IRRIGATION DRAINAGE
[6]  
[Anonymous], QUAL INS MED SHORT T
[7]  
[Anonymous], NINGXIA ENG TECH
[8]  
[Anonymous], FORECAST ANAL EVALUA
[9]   Evaluation of potential evapotranspiration assessment methods for hydrological modelling with SWAT-Application in data-scarce rural Tunisia [J].
Aouissi, Jalel ;
Benabdallah, Sihem ;
Chabaane, Zohra Lili ;
Cudennec, Christophe .
AGRICULTURAL WATER MANAGEMENT, 2016, 174 :39-51
[10]   FORETo: New software for reference evapotranspiration forecasting [J].
Ballesteros, Rocio ;
Fernado Ortega, Jose ;
Angel Moreno, Miguel .
JOURNAL OF ARID ENVIRONMENTS, 2016, 124 :128-141