Rizhqa Enhakhoirunnisa, Rachmy Fitriani, Muhammad Rais Abdillah, Prawira Yudha Kombara, Alvin Pratama, Dinda Shabrina Medyani, Nidaa Fauziyyah
Air quality predictions for operational purposes are still very limited, especially for the DKI Jakarta region. One of the air quality prediction models that is commonly used is WRF-Chem. Before the model is operationally implemented, it is necessary to evaluate performance to represent air quality, such as PM2.5 in the DKI Jakarta. In this study, GFS, MEGAN, and EDGAR data will be used as initial conditions and lateral boundaries in the WRF-Chem model. In this study, there are also two scenarios to test the effect of cumulus radiation feedback on PM2.5 distribution. Hereafter, the simulation result will be compared to meteorological observations using wind and temperature parameters, and air quality from PM2.5 data. The performance of model simulation is going to be analyzed using statistical methods. The simulation from two scenarios shows a visibly different result. Scenario 2 produces an average RMSE PM2.5 value for DKI Jakarta region, which is slightly lower than Scenario 1, 17 μg/m3 and both produce a negative correlation. However, the WRF-Chem model with Scenario 2 tends to be more representative than Scenario 1. This condition is supported by the simulation results on meteorological variables which are in accordance with the observation data and the model error values that tend to be better. In addition to the influence of feedback, the range of PM2.5 values for the WRF-Chem model is also influenced by EDGAR data that has underestimated values and does not match current conditions. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Department of Meteorology, Faculty of Earth Sciences and Technology, Bandung Institute of Technology, Bandung, Indonesia; Atmospheric Science Research Group, Faculty of Earth Sciences and Technology, Bandung Institute of Technology, Bandung, Indonesia; Centre Research for Climate and Atmospheric, National Research and Innovation Agency, Jakarta, Indonesia; Department of Atmospheric and Planetary Science, Faculty of Earth Science, Institut Teknologi Sumatera, Bandar Lampung, Indonesia; Nafas Indonesia, Jakarta, Indonesia; Nafas Indonesia, Jakarta, Indonesia