Introduction Conclusions References

Abstract Estimating the impacts of climate change on global carbon cycle relies projections from Earth system models (ESMs). While ESMs currently project large warming in high northern latitudes, magnitude and sign future balance Arctic-Boreal ecosystems are highly uncertain. The new generation increased complexity Intergovernmental Panel Climate Change Sixth Assessment Report (IPCC AR6) is int...

This study provides an assessment of changes in mean and extreme climate northeast Thailand, focusing on the near-future period (2021–2050). Spatiotemporal extremes return values are investigated compared to 1981–2010. Climate model-related uncertainties quantified using 14 models from Coupled Model Intercomparison Project phase 5 (CMIP5) 8 6 (CMIP6). CMIP6 have a higher sensitivity external fo...

Reproducing the Madden-Julian Oscillation (MJO) remains a challenge in many climate models. This study compares MJO simulation skills 17 pairs of Coupled Model Intercomparison Project Phase 5 (CMIP5) and 6 (CMIP6) simulations. Generally, characteristics are better reproduced CMIP6, their inter-model spreads obviously reduced CMIP6. However, most CMIP6 models still underestimate frequency initia...

A warmer climate impacts streamflows and these changes need to be quantified assess future risk, vulnerability, implement efficient adaptation measures. The simulations from the fifth phase of Coupled Model Intercomparison Project (CMIP5), which have been basis most such assessments over past decade, are being gradually superseded by more recent Phase 6 (CMIP6). Our study portrays added value C...

Future climate projections and their uncertainties affect many aspects of the world, so reliable assessments are essential for policymakers who need to prepare mitigation measures in context change. In this study, we examined projected future estimated uncertainty South Korea using results from global model (GCM), updated sixth phase coupled intercomparison project (CMIP6); then compared differ...

As a salient feature of the Asian monsoon system, East subtropical westerly jet (EASWJ) exerts significant impacts on weather and climate changes in China even throughout Asia. In this paper, we applied new self-adaptive algorithm to detect EASWJ, identify its boundaries, then represent characteristics by defining three indices: intensity index, meridional displacement width index. Compared rea...

There is low confidence in projections of Antarctic sea ice area (SIA), due to deficiencies climate model processes. Ensemble regression techniques can help reduce this uncertainty. We investigate relationships between SIA climatology and 21st century change the Coupled Model Intercomparison Project, phase 6 (CMIP6) multi-model ensemble. In summer, under a strong forcing scenario, each loses ma...

captures the maximum possible range of changes in surface temperature and precipitation for three continental-scale regions. We find that, of the CMIP5 GCMs with 6-hourly fields available, three simulate the key regional aspects of climate sufficiently poorly that we consider the projections from those models ‘implausible’ (MIROC-ESM, MIROCESM-CHEM, and IPSL-CM5B-LR). From the remaining models,...