Review
Geosciences, Multidisciplinary
Patrick C. Taylor, Robyn C. Boeke, Linette N. Boisvert, Nicole Feldl, Matthew Henry, Yiyi Huang, Peter L. Langen, Wei Liu, Felix Pithan, Sergio A. Sejas, Ivy Tan
Summary: Arctic amplification (AA) is a coupled atmosphere-sea ice-ocean process, and its mechanisms have been clarified through over a century of research. However, the uncertainty in Arctic climate projections is larger than in any other region, requiring a quantitative process understanding to reduce uncertainty. This paper reviews the history of AA science, summarizes observed Arctic changes, discusses modeling approaches and feedback diagnostics, and provides recommendations to accelerate progress towards reduced uncertainty.
FRONTIERS IN EARTH SCIENCE
(2022)
Article
Geosciences, Multidisciplinary
Matthew T. Jenkins, Aiguo Dai
Summary: In this study, seasonal variations in Arctic climate feedbacks and their relationship to sea-ice loss were investigated using ERA5 reanalysis data. The results showed that spring and summer experienced significant sea-ice loss, strong surface albedo feedback, and large oceanic heat uptake. Arctic clouds had a small net cooling effect in May-June-July but a moderate warming effect during the cold season, particularly in areas with substantial sea-ice loss. Arctic water vapor feedback reached its peak in summer but was weak and unrelated to sea-ice loss. Arctic positive lapse rate feedback (LRF) was strongest in winter over regions with significant sea-ice loss and weak inversion but was uncorrelated with atmospheric stability, indicating that oceanic heating from sea-ice loss led to enhanced surface warming and positive LRF.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Geosciences, Multidisciplinary
Sang-Moo Lee, Hoyeon Shi, Byung-Ju Sohn, Albin J. Gasiewski, Walter N. Meier, Gorm Dybkjaer
Summary: This study estimated snow depth on sea ice from 2003 to 2020 using satellite measurements, showing that reliable snow depth can be obtained through this method. It also found a decreasing trend in snow depth across the entire Arctic Ocean, as well as geographical differences in snow depth trends between multiyear ice areas and other regions.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Meteorology & Atmospheric Sciences
Yihan Zhang, Yunqi Kong, Song Yang, Xiaoming Hu
Summary: Under the background of global warming, the Arctic region has experienced faster warming than the Antarctic, known as asymmetric Arctic and Antarctic warming. This study finds that a seasonal energy transfer mechanism (SETM) dominates in both polar warmings. The increase in effective heat capacity of the ocean surface layer due to declining sea ice leads to stronger winter warming in the Arctic. However, the background oceanic circulation in the Southern Ocean suppresses SETM, resulting in surface cooling in the Antarctic.
JOURNAL OF CLIMATE
(2023)
Article
Geosciences, Multidisciplinary
Jie Chen, Qiong Zhang, Erik Kjellstrom, Zhengyao Lu, Fahu Chen
Summary: Understanding the influence of vegetation on temperature changes in the Arctic region is important for understanding the climate system, paleoclimate reconstructions, and future climate change. The study shows that increased vegetation in the Arctic amplifies warming and contributes to sea ice loss, highlighting the significant role of vegetation-climate feedback.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Meteorology & Atmospheric Sciences
Yu-Chiao Liang, Claude Frankignoul, Young-Oh Kwon, Guillaume Gastineau, Elisa Manzini, Gokhan Danabasoglu, Lingling Suo, Stephen Yeager, Yongqi Gao, Jisk J. Attema, Annalisa Cherchi, Rohit Ghosh, Daniela Matei, Jennifer Mecking, Tian Tian, Ying Zhang
Summary: This study investigates the atmospheric responses to Arctic sea ice variability using large-ensemble experiments of atmospheric circulation models. The results suggest that Arctic sea ice loss plays a significant role in explaining the Arctic warming trends and weakening of the wintertime Arctic Oscillation. The interannual covariability between sea ice extent and atmospheric circulation observed in the Barents-Kara Seas is consistent with model simulations, but caution is needed in interpreting these results due to potential effects of internal atmospheric variability.
JOURNAL OF CLIMATE
(2021)
Article
Geosciences, Multidisciplinary
L. A. Roach, E. Blanchard-Wrigglesworth
Summary: Arctic sea ice has declined due to climate change, and atmospheric circulation plays a crucial role in the loss of sea ice in September and its interannual variability. However, there may be important model biases in capturing sea ice loss in other seasons.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Environmental Sciences
Bin Wang, Xiao Zhou, Qinghua Ding, Jiping Liu
Summary: The study investigates the uncertainties in predicting the first ice-free Arctic summer by identifying two key constraints: Arctic sea ice sensitivity and Arctic amplification sensitivity. The research finds that ten models with realistic sensitivity predict the occurrence of an ice-free Arctic under a medium emission scenario with 80% likelihood. The physics-based emergent constraints through numerical experiments may be crucial in enhancing robust projection and understanding sources of uncertainty in various fields.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Meteorology & Atmospheric Sciences
Yunhe Wang, Xiaojun Yuan, Haibo Bi, Yibin Ren, Yu Liang, Cuihua Li, Xiaofeng Li
Summary: The study developed a linear Markov model for the seasonal prediction of sea ice thickness (SIT). The model performed better in the cold season and up to 12 months in advance in the Arctic basin. The model skill remained high even after removing trends and the upper-ocean heat content (OHC) was found to contribute more to SIT prediction skill than other variables.
JOURNAL OF CLIMATE
(2023)
Article
Meteorology & Atmospheric Sciences
Marlen Kolbe, Richard Bintanja, Eveline C. van der Linden
Summary: In this study, CMIP6 models were used to simulate the interannual variability (IAV) trends of Arctic climate indicators under continued global warming. The study found significant differences in IAV between summer and winter, and also observed regional variations in the Arctic. The results emphasize the importance of considering these seasonal and regional differences when predicting future trends of Arctic climate variability.
Article
Environmental Sciences
David B. Bonan, Flavio Lehner, Marika M. Holland
Summary: Improved understanding of the sources of uncertainty in Arctic sea ice projections is crucial for assessing the impacts of changing Arctic environment. This study finds that internal variability, model structure, and emissions scenario all play significant roles in predicting Arctic sea-ice area. Internal variability has a larger impact on uncertainty in the short term, while emissions scenario becomes dominant over longer time scales. Additionally, there is a considerable dependency of model uncertainty on the season, with larger uncertainties in winter months.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Claire L. Parkinson, Nicolo E. DiGirolamo
Summary: The satellite dataset spanning 42 years from 1979 to 2020 reveals recent losses in sea ice coverage in both the Arctic and Antarctic, with the Arctic experiencing record low sea ice extents while the Antarctic has seen record lows since 2015. The data also shows that globally, every calendar month has recorded a new monthly record low within the past 5 years, indicating a rapid decline in global sea ice coverage.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Meteorology & Atmospheric Sciences
Seon-Hwa Kim, Hyun-Joon Sung, Seong-Joong Kim, Eun-Hyuk Baek, Ja-Yeon Moon, Baek-Min Kim
Summary: This study finds that sea ice loss over the Barents-Kara Seas and Eurasian cooling are concurrent with increased occurrences of Ural and Kamchatka blockings, contributing to the amplified dipole pattern of Eurasian surface air temperature. The role of sea ice loss in reinforcing the internal variability of Eurasian surface air temperature via multiple blocking activities is emphasized. Climate simulations can reproduce the observed linkage among sea ice, blocking, and the WACE pattern.
JOURNAL OF CLIMATE
(2022)
Article
Geosciences, Multidisciplinary
Lars Aue, Annette Rinke
Summary: We explore changes in sea ice concentration associated with synoptic cyclones in the Greenland, Barents and Kara Seas for each month of the year from 1979 to 2018. The findings reveal that these changes are significant throughout the year, but their strength and sign differ depending on the region, month, and time scale. The research also demonstrates significant alterations in cyclone impacts on sea ice over the past four decades, with the most pronounced changes occurring in October and November.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Economics
Francis X. Diebold, Glenn D. Rudebusch
Summary: The study found that Arctic sea ice has been steadily decreasing as atmospheric greenhouse gas concentrations increase. Using observed data from 1979 to 2019, the researchers discovered a close linear relationship between Arctic sea ice area and cumulative carbon dioxide emissions. The sensitivity of Arctic sea ice area to carbon emissions is much stronger in observed data compared to climate models. This suggests that an ice-free Arctic may occur earlier than projected by current climate models for a given future emissions path. Additionally, there has been limited progress in accurately matching the observed carbon-climate response of Arctic sea ice in recent global climate modeling.
Editorial Material
Environmental Sciences
Jana Sillmann, Theodore G. Shepherd, Bart van den Hurk, Wilco Hazeleger, Olivia Martius, Julia Slingo, Jakob Zscheischler
Summary: The climate science community is challenged to adopt an actionable risk perspective, rather than traditional model-based probabilistic climate change projections. Event-based storylines provide a way out of this conundrum by emphasizing plausibility over probability, which is crucial when dealing with complex and highly uncertain causal factors. This approach directly links to disaster risk management practices and can lead to more informed decision-making regarding climate-related risks.
Article
Meteorology & Atmospheric Sciences
Imme Benedict, Chiel C. van Heerwaarden, Eveline C. van der Linden, Albrecht H. Weerts, Wilco Hazeleger
Summary: Droughts can be studied from the atmospheric and hydrological perspectives, analyzing the moisture sources of precipitation in the Rhine basin during exceptionally dry summers of 2003 and 2018. The study found that in both years, there was a decline in absolute moisture source contribution over the ocean and anomalous moisture fluxes were mainly influenced by abnormal wind patterns.
WEATHER AND CLIMATE EXTREMES
(2021)
Article
Meteorology & Atmospheric Sciences
Antonello A. Squintu, Gerard van der Schrier, Else van den Besselaar, Eveline van der Linden, Dian Putrasahan, Christopher Roberts, Malcolm Roberts, Enrico Scoccimarro, Retish Senan, Albert Klein Tank
Summary: This study evaluates the ability of climate models to simulate extreme climate trends in Europe. The results show that the models tend to underestimate winter temperatures in certain regions, while overestimating summer temperatures in others. These discrepancies have significant impacts on society and the economy.
Article
Meteorology & Atmospheric Sciences
Yang Liu, Laurens Bogaardt, Jisk Attema, Wilco Hazeleger
Summary: This study introduces a deep learning approach (ConvLSTM) to forecast sea ice in the Barents Sea at weather to subseasonal time scales, demonstrating skillful predictions at weekly to monthly time frames. The method utilizes historical records and covariances between variables, maintaining physical consistency and outperforming traditional forecasting methods. Sensitivity tests show that surface energy budget components significantly impact sea ice predictability at weather time scales. This promising approach could enhance operational Arctic sea ice forecasting in the future.
MONTHLY WEATHER REVIEW
(2021)
Article
Environmental Sciences
Peter Bauer, Bjorn Stevens, Wilco Hazeleger
Summary: The EU plans to fund the development of digital twins of Earth to support its green transition. By using a methodological framework, they aim to create a new Earth system simulation and observation capability.
NATURE CLIMATE CHANGE
(2021)
Article
Meteorology & Atmospheric Sciences
J. van den Berk, S. S. Drijfhout, W. Hazeleger
Summary: The study indicates that the freshwater forcing from melting Greenland and Antarctic ice caps can lead to complex responses in the Atlantic circulation systems with opposing effects in different subbasins. The relative strength of the response depends on time and is largely governed by internal feedbacks, with the forcing acting mainly as a trigger and being decoupled from the response.
Article
Environmental Sciences
T. F. Dou, S. F. Pan, R. Bintanja, C. D. Xiao
Summary: This study uses advanced models to predict Arctic precipitation and finds that rainfall will occur more frequently in the future, with different changes in different seasons and regions. The increase in rainy days is mainly due to local warming and an increase in total precipitation. Furthermore, the onset of rainfall will be earlier and the rainfall will expand to a wider area.
Article
Green & Sustainable Science & Technology
L. van der Most, K. van der Wiel, R. M. J. Benders, P. W. Gerbens-Leenes, P. Kerkmans, R. Bintanja
Summary: With the need to reduce greenhouse gas emissions, a modeling framework was constructed and validated to examine extreme impact events on the European power system. The model captures the variability and extremes of wind, photovoltaic and run-of-river production well, with relatively high correlations between modelled and observed data for most European countries. However, the model struggles to capture reservoir inflows and operating procedures of some countries.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2022)
Article
Meteorology & Atmospheric Sciences
Marlen Kolbe, Richard Bintanja, Eveline C. van der Linden
Summary: In this study, CMIP6 models were used to simulate the interannual variability (IAV) trends of Arctic climate indicators under continued global warming. The study found significant differences in IAV between summer and winter, and also observed regional variations in the Arctic. The results emphasize the importance of considering these seasonal and regional differences when predicting future trends of Arctic climate variability.
Article
Meteorology & Atmospheric Sciences
M. Kolbe, J. P. J. Sonnemans, R. Bintanja, E. C. van der Linden, K. van der Wiel, K. Whan, I. Benedict
Summary: Alongside increases in poleward moisture transport to the Arctic, climate models also project an increase in interannual variability with future warming. This study analyzes climate simulations to explore the link between atmospheric rivers (ARs) and moisture transport, finding that higher atmospheric moisture levels cause increases in AR frequency and intensity. Additionally, dynamic variability regulates regional ARs on an interannual basis. Future changes in dynamics may significantly amplify or dampen moisture-induced increases in ARs in a warmer climate. Positive AR anomalies are linked to increased surface air temperature and precipitation, with a negative effect on sea ice.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Geography, Physical
Eveline C. van der Linden, Dewi Le Bars, Erwin Lambert, Sybren Drijfhout
Summary: This study aims to constrain future projections of Antarctic dynamics by using ice discharge observations. The calibration of basal melt sensitivities on observed ice discharge changes improves historical performance but does not reduce uncertainty in the projections. Methodological choices, such as region-specific calibration and quadratic basal melt parameterization, result in higher sea level contributions.
Article
Green & Sustainable Science & Technology
Tianyi Zhang, Karin van der Wiel, Taoyuan Wei, James Screen, Xu Yue, Bangyou Zheng, Frank Selten, Richard Bintanja, Weston Anderson, Russell Blackport, Solveig Glomsrod, Yu Liu, Xuefeng Cui, Xiaoguang Yang
Summary: Climate change has complex impacts on the global wheat supply and demand chain, particularly in terms of price and trade challenges. While increasing wheat production, price volatility intensifies, and trade liberalization may lead to economic losses and inequalities for developing countries. Therefore, a combination of trade liberalization and protection policies is needed to address the threat of climate change.
Article
Environmental Sciences
Karin van der Wiel, Richard Bintanja
Summary: Changes in the frequency of climate extremes are influenced by shifts in both mean climate and climate variability, with temperature extremes being more governed by mean climate warming and precipitation extremes responding more to changes in variability. Spatial variations play a significant role in the impact of extreme events, highlighting the importance of regional processes. The contributions of mean climate and variability to the probability ratio are independent of event threshold, magnitude of warming, and climate model.
COMMUNICATIONS EARTH & ENVIRONMENT
(2021)
Article
Geosciences, Multidisciplinary
Jelle van den Berk, Sybren Drijfhout, Wilco Hazeleger
Summary: This study fits hysteresis diagrams of the Atlantic meridional overturning circulation (AMOC) from climate models of intermediate complexity to a simple model based on the Langevin equation. The results show that a total of six parameters are needed to quantitatively describe the collapses seen in these simulations. Reversing the freshwater forcing leads to asymmetric behavior that requires a more complex model to capture, indicating differences mainly due to the strength of the stable AMOC and the response to freshwater forcing in the climate models studied.
EARTH SYSTEM DYNAMICS
(2021)