Global climate models (GCMs) of Coupled Model Intercomparison Project 6 (CMIP6) has
designed with new socioeconomic pathway scenarios to incorporate the socioeconomic …

The selection of Global climate models (GCMs) is a major challenge for reliable projection of
climate. A novel method is introduced in this study to select couple model intercomparison …

Effective selection of climate predictors is a fundamental aspect of climate modeling
research. Predictor Screening (PS) plays a crucial role in identifying regional climate drivers …

The most recent set of General Circulation Models (GCMs) derived from the Coupled Model
Intercomparison Project Phase 6 (CMIP6) was used in this work to analyse the …

The selection of global climate models (GCMs) for a region remained a difficult step in
climate change studies. A state-of-the-art Support Vector Machine Recursive Feature …

Satellite-based precipitation (SBP) is emerging as a reliable source for high-resolution
rainfall estimates over the globe. However, uncertainty in SBP is still significant, limiting their …

Abstract Changes in the monsoon season rainfall over Peninsular Malaysia by the mid-21st
century are examined using multi-model ensemble data from the CMIP6 HighResMIP …

The impacts of climate change on current and future water resources are important to study
local scale. This study aims to investigate the prediction performances of daily precipitation …

A multiple variable bias correction approach has been proposed for the projection of the
changes in spatial and temporal pattern of rainfall in Borneo Island due to climate change …

An assessment of uncertainty in flood hydrograph features, eg, peak discharge and flood
volume due to variability in the rainfall‐runoff model (HEC‐HMS) parameters and rainfall …