scholarly journals Faster Arctic Sea Ice Retreat in CMIP5 than in CMIP3 due to Volcanoes

2016 ◽  
Vol 29 (24) ◽  
pp. 9179-9188 ◽  
Author(s):  
Erica Rosenblum ◽  
Ian Eisenman
Keyword(s):  
Sea Ice ◽  
Climate Models ◽  
Arctic Sea Ice ◽  
Sea Ice Extent ◽  
Arctic Sea ◽  
Volcanic Forcing ◽  
Global Mean Surface Temperature ◽  
Ice Retreat ◽  
Sea Ice Retreat ◽  
Global Mean

Abstract The downward trend in Arctic sea ice extent is one of the most dramatic signals of climate change during recent decades. Comprehensive climate models have struggled to reproduce this trend, typically simulating a slower rate of sea ice retreat than has been observed. However, this bias has been widely noted to have decreased in models participating in phase 5 of the Coupled Model Intercomparison Project (CMIP5) compared with the previous generation of models (CMIP3). Here simulations are examined from both CMIP3 and CMIP5. It is found that simulated historical sea ice trends are influenced by volcanic forcing, which was included in all of the CMIP5 models but in only about half of the CMIP3 models. The volcanic forcing causes temporary simulated cooling in the 1980s and 1990s, which contributes to raising the simulated 1979–2013 global-mean surface temperature trends to values substantially larger than observed. It is shown that this warming bias is accompanied by an enhanced rate of Arctic sea ice retreat and hence a simulated sea ice trend that is closer to the observed value, which is consistent with previous findings of an approximately linear relationship between sea ice extent and global-mean surface temperature. Both generations of climate models are found to simulate Arctic sea ice that is substantially less sensitive to global warming than has been observed. The results imply that much of the difference in Arctic sea ice trends between CMIP3 and CMIP5 occurred because of the inclusion of volcanic forcing, rather than improved sea ice physics or model resolution.

scholarly journals Sea Ice Trends in Climate Models Only Accurate in Runs with Biased Global Warming

2017 ◽  
Vol 30 (16) ◽  
pp. 6265-6278 ◽  
Author(s):  
Erica Rosenblum ◽  
Ian Eisenman
Keyword(s):  
Global Warming ◽  
Sea Ice ◽  
Climate Models ◽  
Arctic Sea Ice ◽  
The Arctic ◽  
Antarctic Sea Ice ◽  
Arctic Sea ◽  
Ice Retreat ◽  
Sea Ice Retreat ◽  
The Antarctic

Observations indicate that the Arctic sea ice cover is rapidly retreating while the Antarctic sea ice cover is steadily expanding. State-of-the-art climate models, by contrast, typically simulate a moderate decrease in both the Arctic and Antarctic sea ice covers. However, in each hemisphere there is a small subset of model simulations that have sea ice trends similar to the observations. Based on this, a number of recent studies have suggested that the models are consistent with the observations in each hemisphere when simulated internal climate variability is taken into account. Here sea ice changes during 1979–2013 are examined in simulations from the most recent Coupled Model Intercomparison Project (CMIP5) as well as the Community Earth System Model Large Ensemble (CESM-LE), drawing on previous work that found a close relationship in climate models between global-mean surface temperature and sea ice extent. All of the simulations with 1979–2013 Arctic sea ice retreat as fast as observations are found to have considerably more global warming than observations during this time period. Using two separate methods to estimate the sea ice retreat that would occur under the observed level of global warming in each simulation in both ensembles, it is found that simulated Arctic sea ice retreat as fast as observations would occur less than 1% of the time. This implies that the models are not consistent with the observations. In the Antarctic, simulated sea ice expansion as fast as observations is found to typically correspond with too little global warming, although these results are more equivocal. As a result, the simulations do not capture the observed asymmetry between Arctic and Antarctic sea ice trends. This suggests that the models may be getting the right sea ice trends for the wrong reasons in both polar regions.

scholarly journals Modeled Arctic sea ice evolution through 2300 in CMIP5 extended RCPs

2014 ◽  
Vol 8 (1) ◽  
pp. 1383-1406 ◽  
Author(s):  
P. J. Hezel ◽  
T. Fichefet ◽  
F. Massonnet
Keyword(s):  
Sea Ice ◽  
Radiative Forcing ◽  
Climate Models ◽  
Global Climate ◽  
Arctic Sea Ice ◽  
Global Climate Models ◽  
The Arctic ◽  
Sea Ice Extent ◽  
Arctic Sea ◽  
Arctic Sea Ice Extent

Abstract. Almost all global climate models and Earth system models that participated in the Coupled Model Intercomparison Project 5 (CMIP5) show strong declines in Arctic sea ice extent and volume under the highest forcing scenario of the Radiative Concentration Pathways (RCPs) through 2100, including a transition from perennial to seasonal ice cover. Extended RCP simulations through 2300 were completed for a~subset of models, and here we examine the time evolution of Arctic sea ice in these simulations. In RCP2.6, the summer Arctic sea ice extent increases compared to its minimum following the peak radiative forcing in 2044 in all 9 models. RCP4.5 demonstrates continued summer Arctic sea ice decline due to continued warming on longer time scales. These two scenarios imply that summer sea ice extent could begin to recover if and when radiative forcing from greenhouse gas concentrations were to decrease. In RCP8.5 the Arctic Ocean reaches annually ice-free conditions in 7 of 9 models. The ensemble of simulations completed under the extended RCPs provide insight into the global temperature increase at which sea ice disappears in the Arctic and reversibility of declines in seasonal sea ice extent.

scholarly journals Arctic sea ice-free season projected to extend into fall

2018 ◽  
Author(s):  
Marion Lebrun ◽  
Martin Vancoppenolle ◽  
Gurvan Madec ◽  
François Massonnet
Keyword(s):  
Climate Change ◽  
Solar Energy ◽  
Sea Ice ◽  
Climate Models ◽  
Arctic Sea Ice ◽  
Arctic Ecosystems ◽  
Simple Mechanism ◽  
Arctic Sea ◽  
Ice Retreat ◽  
Sea Ice Reduction

Abstract. The recent Arctic sea-ice reduction is associated with an increase in the ice-free season duration, with comparable contributions of earlier retreat and later freeze-up. Here we show that within the next decades, the trends towards later freeze-up should progressively exceed and ultimately double the trend towards an earlier ice retreat date. This feature is robustly found in a hierarchy of climate models and is consistent with a simple mechanism: solar energy is absorbed more efficiently than it can be released in non-solar form until freeze-up. Based on climate change simulations, we envision an increase and a shift of the ice-free season towards fall, which will affect Arctic ecosystems and navigation.

scholarly journals Limitations of a coupled regional climate model in the reproduction of the observed Arctic sea-ice retreat

2012 ◽  
Vol 6 (2) ◽  
pp. 1269-1306 ◽  
Author(s):  
W. Dorn ◽  
K. Dethloff ◽  
A. Rinke
Keyword(s):  
Sea Ice ◽  
Climate Model ◽  
Regional Climate ◽  
Arctic Sea Ice ◽  
Ice Volume ◽  
Arctic Sea ◽  
Melting Period ◽  
Ice Retreat ◽  
Sea Ice Retreat ◽  
Model Variability

Abstract. The effects of internal model variability on the simulation of Arctic sea-ice extent and volume have been examined with the aid of a seven-member ensemble with a coupled regional climate model for the period 1948–2008. Beyond general weaknesses related to insufficient representation of feedback processes, it is found that the model's ability to reproduce observed summer sea-ice retreat depends mainly on two factors: the correct simulation of the atmospheric circulation during the summer months and the sea-ice volume at the beginning of the melting period. Since internal model variability shows its maximum during the summer months, the ability to reproduce the observed atmospheric summer circulation is limited. In addition, the atmospheric circulation during summer also significantly affects the sea-ice volume over the years, leading to a limited ability to start with reasonable sea-ice volume into the melting period. Furthermore, the sea-ice volume pathway shows notable decadal variability which amplitude varies among the ensemble members. The scatter is particularly large in periods when the ice volume increases, indicating limited skill in reproducing high-ice years.

scholarly journals Correction to: Reexamination of Fram Strait sea ice export and its role in recently accelerated Arctic sea ice retreat

2019 ◽  
Vol 53 (3-4) ◽  
pp. 1843-1843
Author(s):  
Jianfen Wei ◽  
Xiangdong Zhang ◽  
Zhaomin Wang
Keyword(s):  
Sea Ice ◽  
Arctic Sea Ice ◽  
Fram Strait ◽  
Arctic Sea ◽  
Ice Retreat ◽  
Sea Ice Retreat

scholarly journals Skillful seasonal forecasts of Arctic sea ice retreat and advance dates in a dynamical forecast system

2016 ◽  
Vol 43 (24) ◽  
pp. 12,457-12,465 ◽  
Author(s):  
M. Sigmond ◽  
M. C. Reader ◽  
G. M. Flato ◽  
W. J. Merryfield ◽  
A. Tivy
Keyword(s):  
Sea Ice ◽  
Arctic Sea Ice ◽  
Seasonal Forecasts ◽  
Forecast System ◽  
Arctic Sea ◽  
Ice Retreat ◽  
Sea Ice Retreat

scholarly journals Pan-Arctic and Regional Sea Ice Predictability: Initialization Month Dependence

2014 ◽  
Vol 27 (12) ◽  
pp. 4371-4390 ◽  
Author(s):  
J. J. Day ◽  
S. Tietsche ◽  
E. Hawkins
Keyword(s):  
Sea Ice ◽  
Climate Models ◽  
Global Climate ◽  
Regional Analysis ◽  
Early Summer ◽  
Arctic Sea Ice ◽  
Global Climate Models ◽  
Sea Ice Extent ◽  
The North ◽  
Arctic Sea

Abstract Seasonal-to-interannual predictions of Arctic sea ice may be important for Arctic communities and industries alike. Previous studies have suggested that Arctic sea ice is potentially predictable but that the skill of predictions of the September extent minimum, initialized in early summer, may be low. The authors demonstrate that a melt season “predictability barrier” and two predictability reemergence mechanisms, suggested by a previous study, are robust features of five global climate models. Analysis of idealized predictions with one of these models [Hadley Centre Global Environment Model, version 1.2 (HadGEM1.2)], initialized in January, May and July, demonstrates that this predictability barrier exists in initialized forecasts as well. As a result, the skill of sea ice extent and volume forecasts are strongly start date dependent and those that are initialized in May lose skill much faster than those initialized in January or July. Thus, in an operational setting, initializing predictions of extent and volume in July has strong advantages for the prediction of the September minimum when compared to predictions initialized in May. Furthermore, a regional analysis of sea ice predictability indicates that extent is predictable for longer in the seasonal ice zones of the North Atlantic and North Pacific than in the regions dominated by perennial ice in the central Arctic and marginal seas. In a number of the Eurasian shelf seas, which are important for Arctic shipping, only the forecasts initialized in July have continuous skill during the first summer. In contrast, predictability of ice volume persists for over 2 yr in the central Arctic but less in other regions.

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