Projecting Global Mean Sea?Level Change Using CMIP6 Models

نویسندگان

چکیده

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 methods, 95th percentile at only increases by 3–7 cm. Projected rates rise around increase more strongly, though, implying pronounced differences beyond and greater committed rise. Intermodel indicate that EffCS-based model selection may alter ensemble projections. is accurately predicted time-integrated change, thus requires reducing early be mitigated.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Recent progress in understanding and projecting regional and global mean sea level change

17 Considerable progress has been made in understanding present and future regional and 18 global sea level in the two years since publication of the Fifth Assessment Report (AR5) of the 19 Intergovernmental Panel on Climate Change. Here we evaluate how the new results affect the 20 AR5’s assessment of (i) historical sea-level rise, including attribution of that rise and 21 implications for the...

متن کامل

Recent Progress in Understanding and Projecting Regional and Global Mean 1 Sea - Level Change

17 Considerable progress has been made in understanding present and future regional and 18 global sea level in the two years since publication of the Fifth Assessment Report (AR5) of the 19 Intergovernmental Panel on Climate Change. Here we evaluate how the new results affect the 20 AR5’s assessment of (i) historical sea-level rise, including attribution of that rise and 21 implications for the...

متن کامل

Projecting global marine biodiversity impacts under climate change scenarios

Introduction 236 Methodology 239 Sample of marine fish and invertebrates 239 Dynamic bioclimate envelope model 239 Climate change scenarios 241 Climate change impact on biodiversity 241 Results 242 Climate change-induced range shift 243 Discussion 245 Key uncertainties 246 Potential implications and future directions 247 Acknowledgements 247 References 248 Abstract Climate change can impact the...

متن کامل

Scenario and modelling uncertainty in global mean temperature change derived from emission-driven global climate models

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...

متن کامل

Estimation of Monthly Mean Daily Global Solar Radiation in Tabriz Using Empirical Models and Artificial Neural Networks

Precise knowledge ofthe amount of global solar radiation plays an important role in designing solar energy systems. In this study, by using 22-year meteorologicaldata, 19 empirical models were tested for prediction of the monthly mean daily global solar radiation in Tabriz. In addition, various Artificial Neural Network (ANN) models were designed for comparison with empirical models. For this p...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Geophysical Research Letters

سال: 2021

ISSN: ['1944-8007', '0094-8276']

DOI: https://doi.org/10.1029/2020gl092064