East Asian Meiyu simulated by 35 global atmospheric models from the 6th Coupled Model Intercomparison Project (CMIP6)/Atmospheric (AMIP) were systematically evaluated for 1998–2014. The results show that most of CMIP6/AMIP can hardly reproduce observed spatial pattern and interannual variability Meiyu. is relatively better over Southern Korea Japan where 14 out have realistically precipitation,...

Abstract. Mineral dust impacts key processes in the Earth system, including radiation budget, clouds, and nutrient cycles. We evaluate aerosols 16 models participating sixth phase of Coupled Model Intercomparison Project (CMIP6) against multiple reanalyses observations. note that both observations used here have their limitations particularly emission deposition are poorly constrained. Most mod...

The simulation of the Madden–Julian Oscillation (MJO) and convectively coupled equatorial waves (CCEWs) is considered in 13 state-of-the-art models from phase 6 Coupled Model Intercomparison Project (CMIP6). We use frequency–wavenumber power spectra observations for Outgoing Longwave Radiation (OLR) zonal winds at 250 hPa (U250), consider historical simulations end twenty-first century projecti...

Abstract There is a long-standing debate on how the El Niño/Southern Oscillation (ENSO) amplitude may change during twenty-first century in response to global warming. Here we identify sources of uncertainty ENSO projections models participating Coupled Model Intercomparison Phase 5 (CMIP5) and 6 (CMIP6), quantify scenario uncertainty, model due internal variability. The exhibit large spread, r...

Although climate change is an inherently global issue, its impacts will not be felt equally across Earth’s pressure belts and continental-scale regions. This study seeks to examine which areas are becoming warmer experiencing drought, with a particular focus on Africa, in light of low historical emissions but poor economic capacity for mitigation adaptation change, Morocco, whose conditional go...

Abstract Climate change affects the water cycle. Despite improved accuracy of simulations historical temperature, precipitation and runoff in latest Coupled Model Intercomparison Project Phase 6 (CMIP6), uncertainty future sensitivity global to temperature remains large. Here, we identify a statistical relationship at scale between (1979–2014) (2015–2100). We use this relation constrain estimat...

Northern South America is among the regions with highest vulnerability to climate change. General Circulation Models (GCMs) are different tools considered analyze impacts of In particular, GCMs have been proved provide useful information, although they exhibit systematic biases and fail in reproducing regional climate, particularly terrains complex topography. This work evaluates performance in...