Middle and short term forecasting models for reference evapotranspiration based on daily weather forecast

被引:0
作者
Zhang, Qian [1 ]
Duan, Aiwang [2 ]
Wang, Guangshuai [2 ]
Shiva, Jha K. [2 ]
Shen, Xiaojun [2 ]
Cai, Huanjie [1 ,3 ]
机构
[1] Key Laboratory for Agricultural Soil and Water Engineering in Arid Area, Ministry of Education, Northwest A&F University, Yangling, 712100, Shaanxi
[2] Key Laboratory for Crop Water Requirement and Regulation, Farmland Irrigation Research Institute, Chinese Academy of Agricultural Sciences, Xinxiang
[3] Institute of Water Saving Agriculture in Arid Areas of China, Northwest A&F University, Yangling, 712100, Shaanxi
来源
Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery | 2015年 / 46卷 / 05期
关键词
P-T model; Penman-Monteith equation; Reference evapotranspiration; Weather forecast;
D O I
10.6041/j.issn.1000-1298.2015.05.016
中图分类号
学科分类号
摘要
The Hargreaves (HG)equation, McClound (M-C) equation, Makkink (M-K) equation and Priestley-Taylor (P-T) equation were amended against the FAO 56 Penman-Monteith(PM)by using the observed meteorological data from 1970 to 2011 at Xinxiang City. Then, the calibrated equation and weather forecast data were used to predict the 10 d ET0. The precision of weather forecast and forecast ET0 was evaluated, and an analytical method was developed to translate daily weather forecast message into the variables needed by estimation ET0. The results showed that the mean accuracy of calibration HG (HG-M) equation, P-T equation, M-C equation and M-K equation were relatively higher. However, the maximum and minimum air temperature, wind speed, hours of sunshine tended to decline with the increasing forecast horizon; the accuracy of minimum air temperature forecast was higher than that of the maximum air temperature. The mean accuracy of P-T model was the highest (95.06%) among all models, meanwhile, the HG-M equation, M-K model, PMT1 model were in turn. The prediction accuracy of selected four models were higher than other models, but the P-T and HG-M models could satisfy the requirement of higher accuracy and simplify the calculating procedure. So for ET0 middle and short term forecast, the P-T and HG-M models could make a great contribution to improve the accuracy of irrigation forecast. ©, 2015, Chinese Society of Agricultural Machinery. All right reserved.
引用
收藏
页码:107 / 114
页数:7
相关论文
共 28 条
[1]  
Allen R.G., Pereira L.S., Raes D., Et al., Crop evapotranspiration, Guideline for Computing Crops Water Requirements, (1998)
[2]  
Todorovic M., Karic B., Pereira L.S., Reference evapotranspiration estimate with limited weather data across a range of Mediterranean climates, Journal of Hydrology, 481, pp. 166-176, (2013)
[3]  
Cai J.B., Liu Y., Lei T.W., Et al., Estimating reference evapotranspiration with the FAO Penman-Monteith equation using daily weather forecast messages, Agricultural and Forest Meteorology, 145, 1-2, pp. 22-35, (2007)
[4]  
Cai J.B., Liu Y., Xu D., Et al., Simulation of the soil water balance of wheat using daily weather forecast messages to estimate the reference evapotranspiration, Hydrology and Earth System Sciences, 13, 7, pp. 1045-1059, (2009)
[5]  
Li Y.H., Cui Y.L., Real-time forecasting of irrigation water requirements of paddy fields, Agricultural Water Management, 31, 3, pp. 185-193, (1996)
[6]  
Er-Raki S., Chehbouni A., Khabba S., Et al., Assessment of reference evapotranspiration methods in semi-arid regions: can weather forecast data be used as alternate of ground meteorological parameters?, Journal of Arid Environments, 74, 12, pp. 1587-1596, (2010)
[7]  
Silva D., Meza F.J., Varas E., Estimating reference evapotranspiration (ET<sub>0</sub>) using numerical weather forecast data in central Chile, Journal of Hydrology, 382, 1-4, pp. 64-71, (2010)
[8]  
Pereia K.C., Western A.W., Nawarathna B., Et al., Forecasting daily reference evapotranspiration for Australia using numerical weather prediction outputs, Agricultural and Forest Meteorology, 194, 4, pp. 50-63, (2014)
[9]  
Ishak A.M., Bray M., Remesan R., Et al., Estimating reference evapotranspiration using numerical weather modeling, Hydrology Process, 24, 24, pp. 3490-3509, (2010)
[10]  
Luo Y., Chang X., Peng S., Et al., Short-term forecasting of daily reference evapotranspiration using the Hargreaves-Samani model and temperature forecasts, Agricultural Water Management, 136, pp. 42-51, (2014)