Journal Article
Evaluating SINGV ‐ RCM for Long‐Term High‐Resolution Climate Simulations Over Southeast Asia
Venkatraman Prasanna; Anurag Dipankar; Jianyu Liu; Gerald Lim; Aurel Moise; Xin Rong Chua; Chen Chen; Jian Jun Yu; Pavan Harika Raavi; Fei Luo; Muhammad Eeqmal Hassim; Sandeep Sahany; Claudio Sanchez; Stuart Webster
International Journal of Climatology · Vol. 45, Issue 11 · 2025
Abstract
Long‐term convection‐permitting dynamical downscaling has been carried out over Southeast Asia and the Western Maritime Continent, using the Singapore Regional Climate Model (SINGV‐RCM) at 8 and 2 km spatial resolutions, respectively. SINGV‐RCM is forced with ERA5 reanalysis data for 36 years (1979–2014) at 8 km resolution over Southeast Asia (79E‐160E; 16S‐24N) with a regular update of the sea surface temperature at 6‐h intervals. Subsequently, the 8 km domain simulation is used for forcing a smaller domain over the Western Maritime Continent at a resolution of 2 km (93E‐110E; 7.2S‐9.9N) for 20 years (1995–2014). Rainfall characteristics including the diurnal cycle, monthly annual cycle, and daily extremes over land and ocean from the two simulations are evaluated against the high‐resolution IMERG precipitation data available from 2001 to 2014. SINGV‐RCM captures mean and extreme rainfall well; however, there are noticeable biases in the rainfall magnitude over the Ocean. These biases agree with the earlier publications on convection‐permitting simulation over the maritime Continent. Models' skill is further evaluated in terms of mean, bias, pattern correlation and RMSE for 8 and 2 km simulations against the IMERG precipitation data.