Multi-model ensemble predictions of precipitation and temperature using machine learning algorithms
Abstract Multi-Model Ensembles (MMEs) are often employed to reduce the uncertainties
related to GCM simulations/projections. The objective of this study was to evaluate the …
related to GCM simulations/projections. The objective of this study was to evaluate the …
Selection of multi-model ensemble of general circulation models for the simulation of precipitation and maximum and minimum temperature based on spatial …
The climate modelling community has trialled a large number of metrics for evaluating the
temporal performance of general circulation models (GCMs), while very little attention has …
temporal performance of general circulation models (GCMs), while very little attention has …
Selection of climate models for projection of spatiotemporal changes in temperature of Iraq with uncertainties
A hybrid approach by combining the past performance and the envelope methods has been
proposed for the selection of an ensemble of general circulation models (GCMs) of Couple …
proposed for the selection of an ensemble of general circulation models (GCMs) of Couple …
Comparison of CMIP6 and CMIP5 model performance in simulating historical precipitation and temperature in Bangladesh: a preliminary study
The relative performance of global climate models (GCMs) of phases 5 and 6 of the coupled
model intercomparison project (CMIP5 and CMIP6, respectively) was assessed in this study …
model intercomparison project (CMIP5 and CMIP6, respectively) was assessed in this study …
[HTML][HTML] Comparative analysis of CMIP5 and CMIP6 in conjunction with the hydrological processes of reservoir catchment, Chhattisgarh, India
Study region Mahanadi reservoir project complex (MRP), Chhattisgarh, India Study focus
This study assesses and compares the performance of the Coupled Model Intercomparison …
This study assesses and compares the performance of the Coupled Model Intercomparison …
[PDF][PDF] Evaluation and projection of precipitation in Pakistan using the Coupled Model Intercomparison Project Phase 6 model simulations
This study aimed to evaluate the performance of global climate models (GCMs) from the
family of the Coupled Model Intercomparison Project Phase 6 (CMIP6) in the historical …
family of the Coupled Model Intercomparison Project Phase 6 (CMIP6) in the historical …
Model output statistics downscaling using support vector machine for the projection of spatial and temporal changes in rainfall of Bangladesh
A model output statistics (MOS) downscaling approach based on support vector machine
(SVM) is proposed in this study for the projection of spatial and temporal changes in rainfall …
(SVM) is proposed in this study for the projection of spatial and temporal changes in rainfall …
Projection of meteorological droughts in Nigeria during growing seasons under climate change scenarios
Like many other African countries, incidence of drought is increasing in Nigeria. In this work,
spatiotemporal changes in droughts under different representative concentration pathway …
spatiotemporal changes in droughts under different representative concentration pathway …
Spatial distribution of unidirectional trends in temperature and temperature extremes in Pakistan
Pakistan is one of the most vulnerable countries of the world to temperature extremes due to
its predominant arid climate and geographic location in the fast temperature rising zone …
its predominant arid climate and geographic location in the fast temperature rising zone …
Evaluating severity–area–frequency (SAF) of seasonal droughts in Bangladesh under climate change scenarios
Drought is considered to be one of the most devastating natural hazards, causing
widespread environmental and social damage in many parts of the world. Using …
widespread environmental and social damage in many parts of the world. Using …