ASSESSING TEMPORAL PERFORMANCE OF CORDEX-SEA RAINFALL SIMULATIONS AGAINST ERA5 DATA
Modeling precipitation poses a significant challenge for climate models. The CORDEX-SEA simulations offer the most comprehensive set of high-resolution regional climate models for Southeast Asia. However, there is a notable gap in the research literature regarding the evaluation of rainfall model performance in these simulations. Most evaluations focus on the spatial aspect, with limited attention given to temporal aspect evaluations. This research endeavors to evaluate the performance of nine CORDEX-SEA rainfall simulations in comparison to ERA5 data. The assessment considered temporal aspects and employed Taylor's skill score to measure model performance. The results showed that no model consistently performs well across all aspects and regions of investigation. However, the NorESM1_d model frequently outperforms others, followed by HadGEM2_a and HadGEM2_c. Most models in the South China Sea region and half of the models in the Indonesian region have low performance. Based on the annual cycle correlation and Fast Fourier Transform (FFT) analysis, the ensemble mean of CORDEX-SEA outperforms all models, but not in the trend and wavelet analysis. These findings provide valuable insights into the selection of appropriate rainfall models for climate projection analyses across Southeast Asia based on temporal analysis.
CORDEX-SEA Simulations, Performance Evaluation, Rainfall Models.