Articles | Volume 15, issue 12
https://doi.org/10.5194/tc-15-5473-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-15-5473-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Dec 2021
Research article |
| 08 Dec 2021
| 08 Dec 2021
Perspectives on future sea ice and navigability in the Arctic
Jinlei Chen
State Key Laboratory of Cryospheric Science, Northwest Institute of
Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000,
China
Shichang Kang
CORRESPONDING AUTHOR
State Key Laboratory of Cryospheric Science, Northwest Institute of
Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000,
China
University of Chinese Academy of Sciences, Beijing 100039, China
Wentao Du
State Key Laboratory of Cryospheric Science, Northwest Institute of
Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000,
China
Junming Guo
State Key Laboratory of Cryospheric Science, Northwest Institute of
Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000,
China
Min Xu
State Key Laboratory of Cryospheric Science, Northwest Institute of
Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000,
China
Yulan Zhang
State Key Laboratory of Cryospheric Science, Northwest Institute of
Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000,
China
Xinyue Zhong
Key Laboratory of Remote Sensing of Gansu Province, Northwest
Institute of Eco-Environment and Resources, Chinese Academy of Sciences,
Lanzhou 730000, China
Wei Zhang
State Key Laboratory of Cryospheric Science, Northwest Institute of
Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000,
China
Jizu Chen
State Key Laboratory of Cryospheric Science, Northwest Institute of
Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000,
China
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Earth Syst. Sci. Data, 18, 4509–4522, https://doi.org/10.5194/essd-18-4509-2026, https://doi.org/10.5194/essd-18-4509-2026, 2026
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Permafrost regions store large amounts of mercury, a toxic pollutant that can be released as the ground warms. We combined thousands of measurements from soils, plants, water, and lake sediments into one open database to better understand where mercury is stored and how it moves. The results show clear differences among environments and reveal major data gaps, helping improve future research, monitoring, and decision-making.
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This study presents the TPHH dataset, a high-resolution (1/30°) monthly climate dataset for the Tibetan Plateau spanning 1901–2023, featuring 2 m temperature, specific humidity, and surface pressure. By employing a hybrid deep learning framework (FourCastNet), we downscaled coarse historical data through the synergistic mapping of total-field signals and terrain constraints. Validated against independent observations, this physically-consistent dataset bridges the pre-satellite data gap.
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Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-551, https://doi.org/10.5194/essd-2025-551, 2026
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EGUsphere, https://doi.org/10.5194/egusphere-2026-828, https://doi.org/10.5194/egusphere-2026-828, 2026
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This study reveals unexpectedly high levels of particulate nitrite at the Base Camp of Mt. Qomolangma, which overwhelmingly exists in coarse mode, and demonstrates that lofted surface soil and long-range transported pollutants contribute to the high levels of nitrite. The high particulate nitrite is likely to participate in atmospheric reactive nitrogen cycling through gas-particle partitioning or photolysis, leading to production of HONO, OH and NO and thereby influencing oxidation chemistry.
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Long-term variations in upper atmospheric temperature and water vapor in the selected domains of time and space are presented. The temperature during the past two decades showed a cooling trend and water vapor showed an increasing trend and had an inverse relation with temperature in selected domains of space and time. Seasonal temperature variations are distinct, with a summer minimum and a winter maximum. Our results can be an early warning indication for future climate change.
Jianzhong Xu, Xinghua Zhang, Wenhui Zhao, Lixiang Zhai, Miao Zhong, Jinsen Shi, Junying Sun, Yanmei Liu, Conghui Xie, Yulong Tan, Kemei Li, Xinlei Ge, Qi Zhang, and Shichang Kang
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A comprehensive aerosol observation project was carried out in the Tibetan Plateau (TP) and its surroundings in recent years to investigate the properties and sources of atmospheric aerosols as well as their regional differences by performing multiple intensive field observations. The release of this dataset can provide basic and systematic data for related research in the atmospheric, cryospheric, and environmental sciences in this unique region.
Yuling Hu, Haipeng Yu, Shichang Kang, Junhua Yang, Mukesh Rai, Xiufeng Yin, Xintong Chen, and Pengfei Chen
Atmos. Chem. Phys., 24, 85–107, https://doi.org/10.5194/acp-24-85-2024, https://doi.org/10.5194/acp-24-85-2024, 2024
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The Tibetan Plateau (TP) saw a record-breaking aerosol pollution event from April 20 to May 10, 2016. We studied the impact of aerosol–meteorology feedback on the transboundary transport flux of black carbon (BC) during this severe pollution event. It was found that the aerosol–meteorology feedback decreases the transboundary transport flux of BC from the central and western Himalayas towards the TP. This study is of great significance for the protection of the ecological environment of the TP.
Xiufeng Yin, Dipesh Rupakheti, Guoshuai Zhang, Jiali Luo, Shichang Kang, Benjamin de Foy, Junhua Yang, Zhenming Ji, Zhiyuan Cong, Maheswar Rupakheti, Ping Li, Yuling Hu, and Qianggong Zhang
Atmos. Chem. Phys., 23, 10137–10143, https://doi.org/10.5194/acp-23-10137-2023, https://doi.org/10.5194/acp-23-10137-2023, 2023
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The monthly mean surface ozone concentrations peaked earlier in the south in April and May and later in the north in June and July over the Tibetan Plateau. The migration of monthly surface ozone peaks was coupled with the synchronous movement of tropopause folds and the westerly jet that created conditions conducive to stratospheric ozone intrusion. Stratospheric ozone intrusion significantly contributed to surface ozone across the Tibetan Plateau.
Huiming Lin, Yindong Tong, Long Chen, Chenghao Yu, Zhaohan Chu, Qianru Zhang, Xiufeng Yin, Qianggong Zhang, Shichang Kang, Junfeng Liu, James Schauer, Benjamin de Foy, and Xuejun Wang
Atmos. Chem. Phys., 23, 3937–3953, https://doi.org/10.5194/acp-23-3937-2023, https://doi.org/10.5194/acp-23-3937-2023, 2023
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Lhasa is the largest city in the Tibetan Plateau, and its atmospheric mercury concentrations represent the highest level of pollution in this region. Unexpectedly high concentrations of atmospheric mercury species were found. Combined with the trajectory analysis, the high atmospheric mercury concentrations may have originated from external long-range transport. Local sources, especially special mercury-related sources, are important factors influencing the variability of atmospheric mercury.
Shaoyong Wang, Xiaobo He, Shichang Kang, Hui Fu, and Xiaofeng Hong
The Cryosphere, 16, 5023–5040, https://doi.org/10.5194/tc-16-5023-2022, https://doi.org/10.5194/tc-16-5023-2022, 2022
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This study used the sine-wave exponential model and long-term water stable isotopic data to estimate water mean residence time (MRT) and its influencing factors in a high-altitude permafrost catchment (5300 m a.s.l.) in the central Tibetan Plateau (TP). MRT for stream and supra-permafrost water was estimated at 100 and 255 d, respectively. Climate and vegetation factors affected the MRT of stream and supra-permafrost water mainly by changing the thickness of the permafrost active layer.
Jizu Chen, Wentao Du, Shichang Kang, Xiang Qin, Weijun Sun, Yang Li, Yushuo Liu, Lihui Luo, and Youyan Jiang
The Cryosphere Discuss., https://doi.org/10.5194/tc-2022-179, https://doi.org/10.5194/tc-2022-179, 2022
Preprint withdrawn
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This study developed a dynamic deposition model of light absorbing particles (LAPs), which coupled with a surface energy and mass balance model. Based on the coupled model, we assessed atmospheric deposited BC effect on glacier melting, and quantified global warming and increment of emitted black carbon respective contributions to current accelerated glacier melting.
Chaman Gul, Shichang Kang, Siva Praveen Puppala, Xiaokang Wu, Cenlin He, Yangyang Xu, Inka Koch, Sher Muhammad, Rajesh Kumar, and Getachew Dubache
Atmos. Chem. Phys., 22, 8725–8737, https://doi.org/10.5194/acp-22-8725-2022, https://doi.org/10.5194/acp-22-8725-2022, 2022
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This work aims to understand concentrations, spatial variability, and potential source regions of light-absorbing impurities (black carbon aerosols, dust particles, and organic carbon) in the surface snow of central and western Himalayan glaciers and their impact on snow albedo and radiative forcing.
Xinghua Zhang, Wenhui Zhao, Lixiang Zhai, Miao Zhong, Jinsen Shi, Junying Sun, Yanmei Liu, Conghui Xie, Yulong Tan, Kemei Li, Xinlei Ge, Qi Zhang, Shichang Kang, and Jianzhong Xu
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-211, https://doi.org/10.5194/essd-2022-211, 2022
Manuscript not accepted for further review
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A comprehensive aerosol observation project was carried out in the Tibetan Plateau (TP) in recent years to investigate the properties and sources of atmospheric aerosols as well as their regional differences by performing multiple short-term intensive field observations. The real-time online high-time-resolution (hourly) data of aerosol properties in the different TP region are integrated in a new dataset and can provide supporting for related studies in in the TP.
Yongqin Liu, Pengcheng Fang, Bixi Guo, Mukan Ji, Pengfei Liu, Guannan Mao, Baiqing Xu, Shichang Kang, and Junzhi Liu
Earth Syst. Sci. Data, 14, 2303–2314, https://doi.org/10.5194/essd-14-2303-2022, https://doi.org/10.5194/essd-14-2303-2022, 2022
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Glaciers are an important pool of microorganisms, organic carbon, and nitrogen. This study constructed the first dataset of microbial abundance and total nitrogen in Tibetan Plateau (TP) glaciers and the first dataset of dissolved organic carbon in ice cores on the TP. These new data could provide valuable information for research on the glacier carbon and nitrogen cycle and help in assessing the potential impacts of glacier retreat due to global warming on downstream ecosystems.
Mukesh Rai, Shichang Kang, Junhua Yang, Maheswar Rupakheti, Dipesh Rupakheti, Lekhendra Tripathee, Yuling Hu, and Xintong Chen
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2022-199, https://doi.org/10.5194/acp-2022-199, 2022
Revised manuscript not accepted
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Our study revealed distinctive seasonality with the maximum and minimum aerosol concentrations during the winter and summer seasons respectively. However, interestingly summer high (AOD > 0.8) was observed over South Asia. The highest aerosols are laden over South Asia and East China within 1–2 km, however, aerosol overshooting found up to 10 km due to the deep convection process. Whereas, integrated aerosol transport for OC during spring was found to be 5 times higher than the annual mean.
Huiming Lin, Yindong Tong, Chenghao Yu, Long Chen, Xiufeng Yin, Qianggong Zhang, Shichang Kang, Lun Luo, James Schauer, Benjamin de Foy, and Xuejun Wang
Atmos. Chem. Phys., 22, 2651–2668, https://doi.org/10.5194/acp-22-2651-2022, https://doi.org/10.5194/acp-22-2651-2022, 2022
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The Tibetan Plateau is known as
The Third Poleand is generally considered to be a clean area owing to its high altitude. However, it may receive be impacted by air pollutants transported from the Indian subcontinent. Pollutants generally enter the Tibetan Plateau in several ways. Among them is the Yarlung Zangbu–Brahmaputra Grand Canyon. In this study, we identified the influence of the Indian summer monsoon on the origin, transport, and behavior of mercury in this area.
Shichang Kang, Yulan Zhang, Pengfei Chen, Junming Guo, Qianggong Zhang, Zhiyuan Cong, Susan Kaspari, Lekhendra Tripathee, Tanguang Gao, Hewen Niu, Xinyue Zhong, Xintong Chen, Zhaofu Hu, Xiaofei Li, Yang Li, Bigyan Neupane, Fangping Yan, Dipesh Rupakheti, Chaman Gul, Wei Zhang, Guangming Wu, Ling Yang, Zhaoqing Wang, and Chaoliu Li
Earth Syst. Sci. Data, 14, 683–707, https://doi.org/10.5194/essd-14-683-2022, https://doi.org/10.5194/essd-14-683-2022, 2022
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The Tibetan Plateau is important to the Earth’s climate. However, systematically observed data here are scarce. To perform more integrated and in-depth investigations of the origins and distributions of atmospheric pollutants and their impacts on cryospheric change, systematic data of black carbon and organic carbon from the atmosphere, glaciers, snow cover, precipitation, and lake sediment cores over the plateau based on the Atmospheric Pollution and Cryospheric Change program are provided.
Yongkang Xue, Tandong Yao, Aaron A. Boone, Ismaila Diallo, Ye Liu, Xubin Zeng, William K. M. Lau, Shiori Sugimoto, Qi Tang, Xiaoduo Pan, Peter J. van Oevelen, Daniel Klocke, Myung-Seo Koo, Tomonori Sato, Zhaohui Lin, Yuhei Takaya, Constantin Ardilouze, Stefano Materia, Subodh K. Saha, Retish Senan, Tetsu Nakamura, Hailan Wang, Jing Yang, Hongliang Zhang, Mei Zhao, Xin-Zhong Liang, J. David Neelin, Frederic Vitart, Xin Li, Ping Zhao, Chunxiang Shi, Weidong Guo, Jianping Tang, Miao Yu, Yun Qian, Samuel S. P. Shen, Yang Zhang, Kun Yang, Ruby Leung, Yuan Qiu, Daniele Peano, Xin Qi, Yanling Zhan, Michael A. Brunke, Sin Chan Chou, Michael Ek, Tianyi Fan, Hong Guan, Hai Lin, Shunlin Liang, Helin Wei, Shaocheng Xie, Haoran Xu, Weiping Li, Xueli Shi, Paulo Nobre, Yan Pan, Yi Qin, Jeff Dozier, Craig R. Ferguson, Gianpaolo Balsamo, Qing Bao, Jinming Feng, Jinkyu Hong, Songyou Hong, Huilin Huang, Duoying Ji, Zhenming Ji, Shichang Kang, Yanluan Lin, Weiguang Liu, Ryan Muncaster, Patricia de Rosnay, Hiroshi G. Takahashi, Guiling Wang, Shuyu Wang, Weicai Wang, Xu Zhou, and Yuejian Zhu
Geosci. Model Dev., 14, 4465–4494, https://doi.org/10.5194/gmd-14-4465-2021, https://doi.org/10.5194/gmd-14-4465-2021, 2021
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The subseasonal prediction of extreme hydroclimate events such as droughts/floods has remained stubbornly low for years. This paper presents a new international initiative which, for the first time, introduces spring land surface temperature anomalies over high mountains to improve precipitation prediction through remote effects of land–atmosphere interactions. More than 40 institutions worldwide are participating in this effort. The experimental protocol and preliminary results are presented.
Cited articles
Abe, M., Nozawa, T., Ogura, T., and Takata, K.: Effect of retreating sea ice on Arctic cloud cover in simulated recent global warming, Atmos. Chem. Phys., 16, 14343–14356, https://doi.org/10.5194/acp-16-14343-2016, 2016.
AMSA: Arctic marine shipping assessment 2009 report, Arctic Council, available at: https://digital.library.unt.edu/ark:/67531/metadc949512/m2/1/high_res_d/AMSA_2009_Report_2nd_print.pdf (last access: 2 December 2021), 2009.
Barnhart, K. R., Miller, C. R., Overeem, I., and Kay, J. E.: Mapping the
future
expansion of Arctic open water, Nat. Clim. Change, 6,
280–285, https://doi.org/10.1038/nclimate2848, 2015.
Biskaborn, B. K., Smith, S. L., Noetzli, J., Matthes, H., Vieira, G., and
Streletskiy, D. A.: Permafrost is warming at a global scale, Nat. Commun.,
10, 1–11, https://doi.org/10.1038/s41467-018-08240-4, 2019.
Box, J. E., Colgan, W. T., Christensen, T. R., Schmidt, N. M., Lund, M., and
Parmentier, F.-J. W.: Key indicators of Arctic climate change: 1971–2017,
Environ. Res. Lett., 14, 045010, https://doi.org/10.1088/1748-9326/aafc1b,
2019.
Brown, R., Vikhamar Schuler, D., Bulygina, O., Derksen, C., Luojus, K., and
Mudryk, L.: Arctic terrestrial snow cover. Snow, Water, Ice and Permafrost
in the Arctic (SWIPA) 2017, Arctic Monitoring and Assessment Programme
(AMAP), Oslo, Norway, 25–64, 2017.
Buixadé Farré, A., Stephenson, S. R., Chen, L., Czub, M., Dai, Y., and
Demchev, D.: Commercial Arctic shipping through the Northeast Passage:
routes, resources, governance, technology, and infrastructure, Polar
Geography, 37, 298–324, https://doi.org/10.1080/1088937x.2014.965769, 2014.
Chang, K. Y., He, S. S., Chou, C. C., Kao, S. L., and Chiou, A. S.: Route
planning and cost analysis for travelling through the Arctic Northeast
Passage using public 3D GIS, Int. J. Geogr. Inf. Sci., 29, 1375–1393,
https://doi.org/10.1080/13658816.2015.1030672, 2015.
Chen, J. L., Kang, S. C., Chen, C. S., You, Q. L., Du, W. T., and Xu,
M.: Changes in sea ice and future accessibility along the Arctic Northeast
Passage, Global Planet. Change, 195,
103319, https://doi.org/10.1016/j.gloplacha.2020.103319, 2020.
Chen, S. Y., Cao, Y. F., Hui, F. M., and Cheng, X.: Observed
spatial-temporal changes in the autumn navigability of the Arctic Northeast
Route from 2010 to 2017, Chinese Sci. Bull., 64, 1515–1525,
https://doi.org/10.1360/N972018-01083, 2019 (in Chinese).
Cohen, J., Zhang, X., Francis, J. A., Jung, T., Kwok, R., and Overland, J.:
Divergent consensuses on Arctic amplification influence on midlatitude
severe winter weather, Nat. Clim. Change, 10, 20–29,
https://doi.org/10.1038/s41558-019-0662-y, 2020.
Comiso, J. C.: Large decadal decline of the Arctic multiyear ice cover, J.
Climate, 25, 1176–1193, https://doi.org/10.1175/JCLI-D-11-00113.1, 2012.
Comiso, J. C. and Hall, D. K.: Climate trends in the Arctic as observed
from space, Wires. Clim. Change, 5,
389–409, https://doi.org/10.1002/wcc.277, 2014.
Connolly, R., Connolly, M., and Soon, W.: Re-calibration of Arctic sea ice extent datasets using Arctic surface air temperature records, Hydrol. Sci. J., 62, 1317–1340, https://doi.org/10.1080/02626667.2017.1324974, 2017.
Cressey, D.: Arctic melt opens Northwest Passage, Nature, 449,
267–267, https://doi.org/10.1038/449267b, 2007.
Fetterer, F., Knowles, K., Meier, W. N., Savoie, M., and Windnagel, A. K.: 2017, updated daily, Sea Ice Index, Version 3, Boulder, Colorado USA, NSIDC: National Snow and Ice Data Center [data set], https://doi.org/10.7265/N5K072F8, 2017.
Gascard, J.-C., Riemann-Campe, K., Gerdes, R., Schyberg, H.,
Randriamampianina, R., and Karcher, M.: Future sea ice conditions and weather
forecasts in the Arctic: Implications for Arctic shipping, Ambio, 46,
355–367, https://doi.org/10.1007/s13280-017-0951-5, 2017.
Howell, S. E. L. and Yackel, J. J.: A vessel transit assessment of sea ice
variability in the Western Arctic, 1969–2002: implications for ship
navigation, Can. J. Remote Sens., 30,
205–215, https://doi.org/10.5589/m03-062, 2004.
Huang, L. F., Li, M. H., Romu, T., Dolatshah, A., and Thomas, G.: Simulation of
a ship operating in an open-water ice channel, Ships Offshore Struc., 16, 353–362,
https://doi.org/10.1080/17445302.2020.1729595, 2020a.
Huang, L. F., Tuhkuri, J., Igrec, B., Li, M. H., Stagonas, D., Toffoli, A., Cardiff, P., and Thomas, G.: Ship resistance when operating
in floating ice floes: a combined CFD&DEM approach, Mar. Struct., 74,
102817, https://doi.org/10.1016/j.marstruc.2020.102817, 2020b.
IMO: Guidelines for ships operating in Arctic ice-covered waters, London: International Maritime Organization, available at: https://www.gc.noaa.gov/documents/gcil_1056-MEPC-Circ399.pdf (last access: 2 December 2021), 2002.
Jourdain, N. C., Mathiot, P., Merino, N., Durand, G., Le Sommer, J., and Spence,
P.: Ocean circulation and sea-ice thinning induced by melting ice shelves in
the Amundsen Sea, J. Geophys. Res.-Oceans, 122,
2550–2573, https://doi.org/10.1002/2016jc012509, 2017.
Kwok, R.: Arctic sea ice thickness, volume, and multiyear ice coverage:
losses and coupled variability (1958–2018), Environ. Res. Lett., 13,
105005, https://doi.org/10.1088/1748-9326/aae3ec, 2018.
Lenton, T., Rockström, J., Gaffney, O., Rahmstorf, S., Richardson, K., and
Steffen, W.: Climate tipping points-too risky to bet against, Nature, 575,
592–595, https://doi.org/10.1038/d41586-019-03595-0, 2019.
Liu, X., Ma, L., Wang, J., Wang, Y., and Wang, L.: Navigable windows of the
Northwest Passage, Polar Sci., 13,
91–99, https://doi.org/10.1016/j.polar.2017.02.001, 2017.
Melia, N., Haines, K., Hawkins, E., and Day, J. J.: Towards seasonal Arctic
shipping route predictions, Environ. Res. Lett., 12,
084005, https://doi.org/10.1088/1748-9326/aa7a60, 2017.
Meredith, M. P., Sommerkorn, M., Cassotta, S., Derksen, C., Ekaykin, A. A., Hollowed, A., Kofinas, G., Mackintosh, A., Melbourne-Thomas, J., Mulbert, M., Ottersen, G., Pritchard, H., and Schuur Edward, A. G.: Chapter 3: Polar Regions. IPCC special report on the ocean and cryosphere in a changing climate, available at: https://www.ipcc.ch/site/assets/uploads/sites/3/2019/09/SROCC_SPM_HeadlineStatements.pdf (last access: 2 December 2021), 2019.
Notz, D.: Sea-ice extent and its trend provide limited metrics of model performance, The Cryosphere, 8, 229–243, https://doi.org/10.5194/tc-8-229-2014, 2014.
O'Neill, B. C., Kriegler, E., Riahi, K., Ebi, K. R., Hallegatte, S., and Carter,
T. R.: A new scenario framework for climate change research: the concept of
shared socioeconomic pathways, Clim. Change, 122, 387–400,
https://doi.org/10.1007/s10584-013-0905-2, 2014.
Ostreng, W., Eger, K. M., Flistad, B., Jgensen-Dahl, A., Lothe, L.,
Mejlnder-Larsen, M., and Wergeland, T.: Shipping in Arctic waters: a comparison of the northeast, northwest and trans polar passages, Springer heidelberg, New York, https://doi.org/10.1007/978-3-642-16790-4, 2013.
Richter-Menge, J., Druckenmiller, M. L., and Jeffries, M.: Arctic Report Card 2019, available at: https://arctic.noaa.gov/Portals/7/ArcticReportCard/Documents/ArcticReportCard_full_report2019.pdf (last access: 1 December 2021), 2019.
Ryan, C., Thomas, G., and Stagonas, D.: Arctic Shipping Trends 2050, Mechanical engineering, University of London, https://doi.org/10.13140/RG.2.2.34680.67840, 2020.
Screen, J. A. and
Simmonds, I.: Increasing fall-winter energy loss from the Arctic Ocean and
its role in Arctic temperature amplification, Geophys. Res. Lett.,
37, 16, https://doi.org/10.1029/2010gl044136, 2010.
Serova, N. A. and Serova, V. A.: Critical tendencies of the transport
infrastructure development in the Russian Arctic, Arctic and North, 36,
42–56, https://doi.org/10.17238/issn2221-2698.2019.36.42, 2019.
Shu, Q., Wang, Q., Song, Z. Y., Qiao, F. L., Zhao, J. C., and Chun, M.:
Assessment of sea ice extent in CMIP6 with comparison to observations and
CMIP5, Geophys. Res. Lett., 47, e2020GL087965,
https://doi.org/10.1029/2020GL087965, 2020.
SIMIP Community: Arctic sea ice in CMIP6, Geophys. Res. Lett., 4,
e2019GL086749, https://doi.org/10.1029/2019GL086749, 2020.
Smith, L. C. and Stephenson, S. R.: New Trans-Arctic shipping routes
navigable by midcentury, P. Nati. Acad. Sci. USA, 110, E1191–E1195,
https://doi.org/10.1073/pnas.1214212110, 2013.
Stephenson, S. R., Smith, L. C., Brigham, L. W., and Agnew, J. A.: Projected
21st-century changes to Arctic marine access, Clima. Change, 118,
885–899, https://doi.org/10.1007/s10584-012-0685-0, 2013.
Tillman, H., Yang, J., and Nielsson, E. T.: The Polar Silk Road: China's New
Frontier of International Cooperation, China Quarterly of International
Strategic Studies, 04, 345–362,
https://doi.org/10.1142/S2377740018500215, 2019.
Transport Canada: Arctic Ice Regime Shipping System (AIRSS) standard, TP 12259E, Government of Canada, Ottawa, available
at: https://tc.canada.ca/en/marine-transportation/marine-safety/tp-12259e-arctic-ice-regime-shipping-system-airss-standard (last access: 1 December 2021), 1998.
World Climate Research Programme: CMIP6 project data, available at: https://esgf-node.llnl.gov/search/cmip6/, last access: 6 December 2021.
Yu, M., Lu, P., Li, Z. Y., Li, Z. J., Wang, Q. K., Cao, X. W., and Chen, X. D.:
Sea ice conditions and navigability through the Northeast Passage in the past 40 years based on remote-sensing data, Int. J. Digit. Earth, 14, 555–574, https://doi.org/10.1080/17538947.2020.1860144, 2021.
Short summary
Sea ice is retreating with rapid warming in the Arctic. It will continue and approach the worst predicted pathway released by the IPCC. The irreversible tipping point might show around 2060 when the oldest ice will have completely disappeared. It has a huge impact on human production. Ordinary merchant ships will be able to pass the Northeast Passage and Northwest Passage by the midcentury, and the opening time will advance to the next 10 years for icebreakers with moderate ice strengthening.
Sea ice is retreating with rapid warming in the Arctic. It will continue and approach the worst...
