Projections of the sea level contribution from Greenland and Antarctic ice sheets (GrIS AIS) rely on atmospheric oceanic drivers obtained climate models. The Earth System Models participating in Coupled Model Intercomparison Project phase 6 (CMIP6) generally project greater future warming compared with previous 5 (CMIP5) effort. Here we use four CMIP6 models a selection CMIP5 to force multiple ...

Abstract. The enhanced warming trend and precipitation decline in the Mediterranean region make it a climate change hotspot. We compare projections of multiple Coupled Model Intercomparison Project Phase 5 (CMIP5) 6 (CMIP6) historical future scenario simulations to quantify impacts already changing region. In particular, we investigate changes temperature during 21st century following scenarios...

We compare future changes in global mean temperature in response to different future scenarios which, for the first time, arise from emission-driven rather than concentration-driven perturbed parameter ensemble of a global climate model (GCM). These new GCM simulations sample uncertainties in atmospheric feedbacks, land carbon cycle, ocean physics and aerosol sulphur cycle processes. We find br...

The effect of the projected 21st century climate change on water quality in Old Woman Creek (OWC) watershed was evaluated using Soil and Water Assessment Tool (SWAT) precipitation temperature projections from three best Global Climate Circulation Model (GCM)l ensemble downloaded Coupled Intercomparison Project Phase 5 (CMIP5). These GCMs (GFDL-ESM2M, MPI-ESM-MR, EC-EARTH) were identified as tho...

The data management plan of the Community Earth System Model (CESM)[1] from the National Center for Atmospheric Research (NCAR) is given historical context and its policies, definitions, and features are detailed. The drivers of CESM data management are discussed, including the upcoming Coupled Model Intercomparison Project 5 (CMIP5), the ongoing Earth System Grid (ESG) project, and the strateg...

This paper presents a comparison of global temperature variations in the stratosphere and troposphere between satellite measurements (SSU + MSU), reanalysis data sets, and CMIP5 models. The focus is on comparing interannual variability and trends among the data sets, and direct comparisons are made by constructing weighted averages of the reanalysis and model temperatures to approximately match...

The effective climate sensitivity (EffCS) of models in the Coupled Model Intercomparison Project 6 (CMIP6) has increased relative to CMIP5. We explore implications this for global mean sea-level (GMSL) change projections 2100 three emissions scenarios. CMIP6 surface air temperature are substantially higher than CMIP5, but thermal expansion not. Using these as input construct GMSL with IPCC AR5 ...

This paper evaluates sea surface temperature (SST) biases of coupled models participating in Coupled Model Intercomparison Project Phase 5 (CMIP5) and CMIP6. Overall, CMIP6 perform better than CMIP5 ones reproducing SST climatology, with lower multi-model ensemble mean (MME) globally averaged absolute bias (1.17 vs. 1.31 K). MME global annual shifts from cooling (−0.09 ± 0.52 K) to warming (0.2...

Due to its wide-ranging impacts, predicting decadal variations of sea surface temperature (SST) in the subpolar North Atlantic remains a key goal climate science. Here, we compare representation observed SST since 1960 initialized and uninitialized historical simulations from 5th 6th phases Coupled Model Intercomparison Project (CMIP5/6). Initialized hindcasts CMIP6 explain 88% variance post-19...

Abstract Efforts to understand and quantify how a changing climate can impact agriculture often rely on bias-corrected downscaled information, making it important potential biases of this approach. Here, we use multi-model ensemble statistically models, as well the corresponding parent models from Coupled Model Intercomparison Project Phase 5 (CMIP5), drive statistical panel model U.S. maize yi...