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Review of approaches for selection and ensembling of GCMs
Global climate models (GCMs) are developed to simulate past climate and produce
projections of climate in future. Their roles in ascertaining regional issues and possible …
projections of climate in future. Their roles in ascertaining regional issues and possible …
[HTML][HTML] Copula-based projections of wind power: Ireland as a case study
Wind energy is a key element in the ongoing push to decarbonize the energy supply. The
first step in the development of a wind farm at a specific site is to conduct feasibility studies …
first step in the development of a wind farm at a specific site is to conduct feasibility studies …
Analyzing trend and forecasting of rainfall changes in India using non-parametrical and machine learning approaches
This study analyzes and forecasts the long-term Spatio-temporal changes in rainfall using
the data from 1901 to 2015 across India at meteorological divisional level. The Pettitt test …
the data from 1901 to 2015 across India at meteorological divisional level. The Pettitt test …
Climate change impact on major crop yield and water footprint under CMIP6 climate projections in repeated drought and flood areas in Thailand
N Arunrat, S Sereenonchai, W Chaowiwat… - Science of the Total …, 2022 - Elsevier
Understanding crop yield and water requirements in response to the future climate at the
local scale is essential to develop more precise and appropriate adaptation strategies. From …
local scale is essential to develop more precise and appropriate adaptation strategies. From …
Prediction of droughts over Pakistan using machine learning algorithms
Climate change has increased frequency, severity and areal extent of droughts across the
world in the last few decades magnifying their adverse impacts. Prediction of droughts is …
world in the last few decades magnifying their adverse impacts. Prediction of droughts is …
Evaluation of CMIP6 precipitation simulations across different climatic zones: Uncertainty and model intercomparison
This study analyzes the performance of precipitation estimates from historical runs of the
CMIP6 (Climate Model Intercomparison Project Phase 6) over the climatic regions of Iran. In …
CMIP6 (Climate Model Intercomparison Project Phase 6) over the climatic regions of Iran. In …
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 …
Future changes in climate and hydroclimate extremes in East Africa
Climate change is affecting the agriculture, water, and energy sectors in East Africa and the
impact is projected to increase in the future. To allow adaptation and mitigation of the …
impact is projected to increase in the future. To allow adaptation and mitigation of the …
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 …