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. mo...

The goal of the Clouds and the Earth's Radiant Energy System (CERES) project is to provide a long-term record of radiation budget at the top-of-atmosphere (TOA), within the atmosphere, and at the surface with consistent cloud and aerosol properties at climate accuracy [1]. CERES consists of an integrated instrument-algorithm-validation science team that provides development of higher-level prod...

The CERES-Rice model in the Decision Support System for Agro-technology Transfer (DSSAT) was used assessing impact of climate change on rice and developing adaptation strategies to sustain production western zone Tamil Nadu. Model results showed that yield reduction ranged from 4 -56 % with increase temperature 1 5°C respectively current under different dates planting 1st June 15th July. sowing...

Estimating genetic coefficients of a new rice cultivar is important when crop model used to test its performance. Here, we estimated two genotypes in the Philippines, namely, inbred PSB Rc82 and hybrid Mestizo 20, for CERES-Rice using parameter estimation methods including, GENCALC (Genotype Coefficient Calculator), GLUE (Generalized Likelihood Uncertainty Estimation) NMCGA (Noisy Monte Carlo G...