… climate variability is key for our understanding of climate as it underpins efforts … CMIP3,
CMIP5, and CMIP6 archives, in order to document model capabilities, progress across ensembles…

… However, all of these studies are based on CMIP3 and CMIP5, and none of them has used
the … To better understand the climatic diversity of Iran and investigate the IEP in its various …

Appraisal of the long-term precipitation trends and variability is crucial for sustainable water
resources management. This research intended to evaluate Bangladesh's monthly, seasonal…

… Error correction methods and multimodel ensembles do not improve the simulation and …
factors should be further evaluated to help us understand the uncertainty of the projection. …

… The results show that the multi-model ensemble (MME) mean projects a slight increase (1–2%/℃)
of summer rainfall over the Sahel in the future which seems to be due to the …

… Here, using a multi-model ensemble from the Inter-Sectoral Impact Model Intercomparison
Project phase 2b, we estimate the changes in the spatiotemporal characteristics of soil …

… Using a multimodel ensemble (MME) drawn from CMIP6, we investigate changes in …
reasonable source for future climate projections over SEA compared to CMIP5 and CMIP3. …

… Our study lays the foundation for future research based on CMIP6 data and enhance our
understanding of climate change impact assessments that explore the probability of climate-…

… The main objective of CMIP is to better understand past, … of the CMIP3, CMIP5, and CMIP6
ensemble by evaluating the … In this study, we evaluated multimodel ensembles from three …

… of the two types of ENSO by combining multi-model ensemble (MME) with a statistical error
… model datasets from the North American Multi-model Ensemble (NMME) project for the …