Predicting daily reference evapotranspiration in a humid region of china by the locally calibrated hargreaves-samani equation using weather forecast data

Journal of Agricultural Science and Technology

Volumn 14, Issue 6, 2012, Pages 1331-1342

  Xu, J Z ^a   Peng, S Z ^a   Yang, S H ^a   Luo, Y F ^a   Wang, Y J ^a  

^a HOHAI UNIVERSITY   (China)

Author keywords

Hargreaves samani equation; Humid region; Local calibration; Reference evapotranspiration; Sensitivity analysis; Weather forecast data

Indexed keywords

EID: 84869460785     PISSN: 16807073     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (38)

1. Allen, R. G. 1996. Assessing Integrity of Weather Data for Reference Evapotranspiration Estimation. J. Irrig. Drain. Eng., 122(2): 97-106.
2. Allen, R. G., Pereira, L. S., Raes, D. and Smith, M. 1998. Crop Evapotranspirationguidelines for Computing Crop Water Requirement. Food and Agriculture Organization of the United Nations, Rome, PP. 20-28.
3. Antonio, R. P. 2004. The Priestley-Taylor Parameter and the Decoupling Factor for Estimating Reference Evapotranspiration. Agric. For. Meteorol., 125: 305-313.
4. Bakhtiari, B., Ghahreman, N., Liaghat, A. M. and Hoogenboom, G. 2011. Evaluation of Reference Evapotranspiration Models for Semiarid Environment Using Lysimeter Measurements. J. Agr. Sci. Tech., 13: 223- 237
5. Cai, J. B., Liu, Y., Lei, T. W. and Pereira, L. S. 2007. Estimating Reference Evapotranspiration with the FAO Penman- Monteith Equation Using Daily Weather Forecast Messages. Agric. For. Meteorol., 145: 22-35.
6. China Meteorological Administration (CMA). 2003. Specifications for Surface Meteorological Observation. Meteorological Press, Beijing, China, PP. 35-74
7. China Meteorological Administration (CMA). 2010. Quality Control of Surface Meteorological Observational Data. Meteorological Press, Beijing, China, PP. 2-7.
8. da Silva, V. J., Carvalho, H. D., da Silva, C. R., de Camargo, R. and Teodoro, R. E. F. 2011. Performance of Different Methods of Estimating the Daily Reference Evapotranspiration in Uberlandia, MG. Biosci. J. Uberlândia, 27(1): 95-101
9. Dinpashoh, Y. 2006. Study of Reference Crop Evapotranspiration in I.R. of Iran. Agric. Water Manage., 84: 123-129.
10. Droogers, P. and Allen, R. G. 2002. Estimating Reference Evapotranspiration under Inaccurate Data Conditions. Irrig. Drain. Sys., 16(1): 33-45.
11. Duce, P., Snyder, R. L., Soong, S. T. and Spano, D. 1999. Forecasting Reference Evapotranspiration. Proceedings of the Third International Symposium on Irrigation of Horticultural Crops, 28 June-2 July 1999, Lisbon, Portugal, (1-2): 135-141 (1-2): 135-141.
12. Er-Raki, S., Chehbouni, A., Ezzahar, J., Khabba, S., Lakhal, E. K. and Duchemin, B. 2011. Derived Crop Coefficients for Winter Wheat Using Different Reference Evpotranspiration Estimates Methods. J. Agr. Sci. Tech., 13: 209-221.
13. Er-Raki, S., Chehbouni, A., Khabba, S., Simonneaux, V., Jarlan, L., Ouldbba A., Rodriguez, J. C. and Allen, R. 2010. Assessment of Reference Evapotranspiration Methods in Semi-arid Regions: Can Weather Forecast Data Be Used as Alternate of Ground Meteorological Parameters? J. Arid Environ., 74: 1587-1596.
14. Fooladmand, H. R. and Haghighat, M. 2007. Spatial and Temporal Calibration of Hargreaves Equation for Calculation Monthly ET0 Based on Penman-Monteith Method. Irrigat. Drain., 56: 439-449.
15. Gavilan, P., Lorite, L. J. Tornero, S. and Berengena, J. 2006. Regional Calibration of Hargreaves Equation for Estimating Reference ET in a Semiarid Environment. Agric. Water Manage., 81: 257-281
16. Gu, S. X., Li, Y. H. and Yuan, H. Y. 1998. Real-time Forecasting of Crop Evaportranspiration of Huoquan Irrigation District. J. Wuhan Uni. Hydraul. Electric. Eng., 31(1): 37-41.
17. Hargreaves, G. H. 1994. Defining and Using Reference Evapotranspiration. J. Irrig. Drain. Eng., 120 (6): 1132-1139.
18. Hargreaves, G. H. and Samani, Z. A. 1985. Reference Crop Evapotranspiration from Temperature. Appl. Eng. Agric., 1 (2): 96-99.
19. Hossein, D., Tahei, Y. and Velu, R. 2004. Assessment of Evapotranspiration Estimation Models for Use in Semi-arid Environments. Agri. Water Manage., 64: 91-106.
20. Hu, Q. F., Yang, D. W., Wang, Y. T. and Yang H. B. 2011. Global Calibration of Hargreaves Equation and Its Applicability in China. Adv. Water Sci., 22(2): 160-167.
21. Jacovides, C. P. and Kontonyiannis, H. 1995. Statistical Procedures for the Evaluation of Evapotranspiration Computing Models. Agric. Water Manage., 27: 365-371.
22. Landeras, G., Ortiz-Barredo, A. and Lopez, J. J. 2009. Forecasting Weekly Evapotranspiration with ARIMA and Artificial Neural Network Models. J. Irrig. Drain. Eng., 135: 323-334.
23. López-Urrea, R., Martín de Santa Olalla, F., Fabeiro, C. and Moratalla, A. 2006. Testing Evapotranspiration Equations Using Lysimeter Observations in a Semiarid Climate. Agri. Water Manage., 85: 15-26.
24. Luo, Y. F., Cui, Y. L. and Cai, X. L. 2005. A Fourier Series Model for Forecasting Reference Crop Evapotranspiration. Eng. J. Wuhan Univ., 38(6): 45-47.
25. Mao, Z. 1994. Forecast of crop evapotranspiration. ICID Bulletin, 43 (1): 23-36
26. Mariño, M. A., Tracy, J. C. and Taghavi, S. A. 1993. Forecasting of Reference Crop Evapotranspiration. Agric. Water Manage., 24: 163-187.
27. Martinez-Cob, A. and Tejero-Juste, M. 2004. A Wind-based Qualitative Calibration of the Hargreaves ET0 Estimation Equation in Semiarid Regions. Agric. Water Manage., 64 (3): 251-264.
28. Meshram, D. T., Gorantiwar, S. D., Mitral, H. K. and Purohit, R. C. 2010. Comparison of Reference Crop Evapotranspiration Methods in Western Part of Maharashtra State. J. Agrometeorol., 12(1): 44-46.
29. Moges, S. A., Katambara, Z. and Bashar, K. 2003. Decision Support System for Estimation of Potential Evapotranspiration in Pangani Basin. Phys. Chem. Earth., 28(20-27): 927-934.
30. Mohan, S. and Arumugam, N. 1995. Forecasting Weekly Reference Crop Evapotranspiration Series. Hydrolog. Sci. J., 40(6):689-702.
31. Mohawesh, O. E. 2011. Evaluation of Evapotranspiration Models for Estimating Daily Reference Evapotranspiration in Arid and Semiarid Environments. Plant Soil Environ., 57(4): 145-152
32. Samani, Z. 2000. Estimating Solar Radiation and Evapotranspiration Using Minimum Climatological Data. J. Irrig. Drain. Eng., 126(4): 265-267.
33. Temesgen, B., Eching, S., Davidoef, B. and Frame, K. 2005. Comparison of Some Reference Evapotranspiration Equations for California. J. Irrig. Drain. Eng., 131(1): 73-84.
34. Trajkovic, S. 1998. Comparison of Prediction of Reference Crop Evapotranspiration. The Scientific Journal FACTA UNIVERSITATIS, Series: Architecture and Civil Engineering, 1(5): 617-62
35. Trajkovic, S. 2007. Hargreaves Versus Penman-Monteith under Humid Conditions. J. Irrig. Drain. Eng., 133(1): 38-42.
36. Xu, C. Y. and Chen, D. 2005. Comparison of Seven Models for Estimation of Evapotranspiration and Groundwater Recharge Using Lysimeter Measurement Data in Germany. Hydrol. Processes, 19: 3717-3734
37. Xu, C. Y. and Singh, V. P. 2002. Cross Comparison of Empirical Equations for Calculating Potential Evapotranspiration with Data from Switzerland. Water Resour. Manage., 16:197-219.
38. Xu, J. Z., Peng, S. Z., Zhang, R. M. and Li, D. X. 2006. Neural Network Model for Reference Crop Evapotranspiration Prediction Based on Weather Forecast. J. Hydrau. Eng., 37(3):376-379. (in Chinese).