Abstract : The daily weather series simulated with observed weather data and weather data generated with conventional WGEN model taking dry and wet day as stochastic parameter and DWS model were statistically compared and analyzed. These three weather data were respectively used to drive maize growth simulation model. The corresponding yield results were compared. The results showed there was no significant difference between observed weather data and weather data generated with DWS model. The difference between yield simulated with DWS model and yield simulated with WGEN model was not significant.
Daoliang Li; Yingyi Chen. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-370, pp.129-135, 2012, Computer and Computing Technologies in Agriculture V. 〈10.1007/978-3-642-27275-2_14〉
https://hal.inria.fr/hal-01361127
Contributeur : Hal Ifip
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Dernière modification le : mardi 6 septembre 2016 - 17:40:18
Document(s) archivé(s) le : mercredi 7 décembre 2016 - 13:32:36
Shijuan Li, Yeping Zhu. Evaluating Simulation Model Based on Generated Weather Data. Daoliang Li; Yingyi Chen. 5th Computer and Computing Technologies in Agriculture (CCTA), Oct 2011, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-370, pp.129-135, 2012, Computer and Computing Technologies in Agriculture V. 〈10.1007/978-3-642-27275-2_14〉. 〈hal-01361127〉
