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 inter...

The climate of the Maritime Continent, including Singapore, is influenced by a wide range of tropical drivers including the El-Niño Southern Oscillation (ENSO), the Indian Ocean Dipole (IOD), the Madden–Julian Oscillation (MJO), and equatorial wave activity. In Singapore, the rainfall pattern is often marked by episodes of short intense rainfall bursts, primarily driven by mesoscale convective systems, such as Sumatra squall l...

The development of the Singapore regional climate model (SINGV-RCM) is documented in this study. The model’s skill in predicting mean and extreme rainfall over the Maritime Continent at 8 km and 2 km grid resolution is assessed using observed rainfall. The model’s sensitivity to vertical grid and convection parametrization is also evaluated. Results demonstrate the added value of downscaling to 8 and 2 km. The spatial and temp...

Rainfall variability change under global warming is a crucial issue that may have a substantial impact on society and the environment, as it can directly impact biodiversity, agriculture, and water resources. Observed precipitation trends and climate change projections over Brazil indicate that many sectors of society are potentially highly vulnerable to the impacts of climate change. The purpose of this study is to assess mod...

Indices derived from daily rainfall time series are used to measure “burst” features of the northern Australia monsoon, corresponding to one or more days of heavy rainfall. These indices include number of burst days, numbers and durations of burst events, and average intensity. The results using observational data show how these features can vary from one year to the next, and how they can vary from the station scale (Darwin)...

Dynamically downscaled simulations are an attractive source of information for those requiring greater regional detail than what Global Climate Models ( GCMs ) can provide. However, an important question is whether the information derived from downscaled simulations is plausible. Some recent studies have attempted to answer this question using an ‘added value’ framework. This study takes an alternate approach by comparing proj...

A set of 27 global climate models from the Coupled Model Inter‐comparison Project Phase 5 ( CMIP5 ) ensemble are assessed for their performance for the purpose of making future climate projection studies in the western tropical Pacific and differences to Coupled Model Inter‐comparison Project Phase 3 ( CMIP3 ) are assessed. The CMIP5 models show some improvements upon CMIP3 in the simulation of the climate in the western tropi...