Evaluation of CMIP6 GCM rainfall in mainland Southeast Asia
Global climate models (GCMs) of Coupled Model Intercomparison Project 6 (CMIP6) has
designed with new socioeconomic pathway scenarios to incorporate the socioeconomic …
designed with new socioeconomic pathway scenarios to incorporate the socioeconomic …
[PDF][PDF] A novel selection method of CMIP6 GCMs for robust climate projection
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 …
climate. A novel method is introduced in this study to select couple model intercomparison …
A systematic review of predictor screening methods for downscaling of numerical climate models
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 …
research. Predictor Screening (PS) plays a crucial role in identifying regional climate drivers …
Evaluation of global climate models for precipitation projection in sub-Himalaya region of Pakistan
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 …
climate change studies. A state-of-the-art Support Vector Machine Recursive Feature …
Application of relative importance metrics for CMIP6 models selection in projecting basin-scale rainfall over Johor River basin, Malaysia
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 …
Intercomparison Project Phase 6 (CMIP6) was used in this work to analyse the …
Bias correction method of high-resolution satellite-based precipitation product for Peninsular Malaysia
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 …
rainfall estimates over the globe. However, uncertainty in SBP is still significant, limiting their …
Daily precipitation performances of regression-based statistical downscaling models in a basin with mountain and semi-arid climates
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 …
local scale. This study aims to investigate the prediction performances of daily precipitation …
Projected near-term changes in monsoon precipitation over Peninsular Malaysia in the HighResMIP multi-model ensembles
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 …
century are examined using multi-model ensemble data from the CMIP6 HighResMIP …
Multi-variable model output statistics downscaling for the projection of spatio-temporal changes in rainfall of Borneo Island
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 …
changes in spatial and temporal pattern of rainfall in Borneo Island due to climate change …
Assessing the uncertainty associated with flood features due to variability of rainfall and hydrological parameters
A Sharafati, MR Khazaei, MS Nashwan… - Advances in Civil …, 2020 - Wiley Online Library
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 …
volume due to variability in the rainfall‐runoff model (HEC‐HMS) parameters and rainfall …