Application of the WRF-DSSAT Modeling System for Assessment of the Nitrogen Fertilizer Used for Improving Rice Production in Northern Thailand

The cultivation of rice under irrigation provides fundamental sustenance for nearly half the world’s population. Rice yields need to increase in order maintain rapidly growing population and meet food requirements. In this research, we applied coupled atmospheric–crop model, which is based on WRF CERES-Rice models, find appropriate nitrogen fertilizer level improving yield northern Thailand. model was conducted from June December 2011 2015. To evaluate model’s capability, output including meteorological data (i.e., precipitation temperature) production, compared actual observation data. modeling system showed an acceptable statistical examination; example, R2 values were 0.93, 0.76, 0.97 precipitation, temperature, respectively. assess optimization level, designed nine experiments: control cases other that multiplied by a factor 2–10 times levels. suggested can produce substantial increasing levels 12 kg/ha.