SIMULATION OF APSIM AGRICULTURAL MODEL WITH ERA5 REANALYSIS CLIMATE DATA INPUT IN INDRAMAYU DISTRICT IN 2014 - 2020

• Main Author: Tamiza, Yuni
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/79172
• Institution: Institut Teknologi Bandung

Crop simulation model is a quantitative analysis tool in the relationship between plant growth and its environment (climate and soil). One of the frequently used crop simulation models is the APSIM Model. Observational data is needed in agricultural simulations, but the availability of observational data is often incomplete. An alternative to observational climate data is reanalysis data. However, it is not yet known whether using reanalysis data for agricultural simulation can produce good enough simulation results. Therefore, this study will test agricultural simulation with climate data input from reanalysis data. This research uses reanalysis climate data derived from ERA5, soil data and plant phenology data as well as observational data, namely rice productivity data in Indramayu Regency from the Indramayu Regency Agriculture Office in 2014 - 2020. These data are used as inputs to the APSIM model. In this study also analyzed the comparison of rice productivity of APSIM simulation results with observations in all sub-districts in Indramayu Regency and after that the calculation of RMSE, Mean Bias, and standard deviation was carried out and corrections were made using the mean bias and standard deviation obtained. Overall, the simulation results of rice productivity using ERA5 reanalysis climate data in Indramayu Regency in 2014 - 2020 tend to overestimate. All sub-districts have a mean bias of 1.156 and a standard deviation bias of ± 0,136. However, after being corrected using the mean bias and standard deviation of bias, the simulation correction results managed to approach productivity observations quite well. Therefore, it can be concluded that the ERA5 reanalysis data can be used to simulate rice productivity under the condition of correction.