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Ice bottom evolution derived from thermistor string-based ice mass balance buoy observations

International Journal of Digital Earth 2023年第1期16卷 3085-3104页

作者： Zeliang Liao Yubing Cheng Ying Jiang Mengmeng Li Bin Cheng stein sandven School of Computer Science and Engineering Sun Yat-Sen UniversityGuangzhouPeople’s Republic of China Institute of Atmospheric Physics Chinese Academy of SciencesBeijingPeople’s Republic of China Henan Academy of Big Dat1 Zhengzhou UniversityZhengzhouPeople’s Republic of China Meteorological Department Finnish Meteorological InstituteHelsinkiFinland Acoustic and Oceanography Department Nansen Environmental and Remote Sensing CenterBergenNorway

Digital information on sea ice extent,thickness,volume,and distribution is crucial for understanding Earth's climate system.The Snow and Ice Mass Balance Apparatus(SIMBA)is used to determine snow and ice temperatures in Arctic,Antarctic,ice-covered seas,and boreal lakes.Snow depth and ice thickness are derived from SIMBA temperature regimes(SIMBA_ET and SIMBA_HT).In warm conditions,SiMBA_ET temperature-based ice thickness may have errors due to the isothermal vertical profile.SIMBA_HT provides a visible ice-bottom interface for manual quantification.We propose an unmanned approach,combining neural networks,wavelet analysis,and Kalman filtering(NWK),to mathematically establish NwK and retrieve ice bottoms from various SIMBA_HT datasets.In the Arctic,NWK-derived total thickness showed a bias range of-5.64 cm to 4.01 cm and a correlation coefficient of 95%-99%.For Baltic Sea ice,values ranged from 1.31 cm to 2.41 cm(88%-98%correlation),and for boreal lake ice,-0.7 cm to 2.6 cm(75%-83%correlation).During ice growth,thermal equilibrium,and melting,the bias varied from-3.93 cm to 2.37 cm,-1.92 cm to 0.04 cm,and-4.90 cm to 3.96 cm,with correlation coefficients of 76%-99%.These results demonstrate NWK's robustness in retrieving ice bottom evolution in different water environments.

关键词： Sea ice thickness lake ice thickness ice-bottom evolution nonlinear filtering

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Observations and geophysical value-added datasets for cold high mountain and polar regions

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Big Earth Data 2022年第4期6卷 381-384页

作者： Yubao Qiu Hanna K.Lappalainen Tao Che stein sandven Tianjie Zhao International Research Center of Big Data for Sustainable Development Goals China Key Laboratory of Digital Earth Science Aerospace Information Research InstituteChinese Academy of SciencesBeijingChina Institute for Atmospheric and Earth System Research University of HelsinkiFinland Finnish Meteorological InstituteHelsinkiFinland Northwest Institute of Eco-Environment and Resources LanzhouChina Nansen Environmental and Remote Sensing Center BergenNorway State Key Laboratory of Remote Sensing Science Aerospace Information Research InstituteChinese Academy of SciencesBeijingChina

The Earth’s cold regions,in particular,the Arctic,Antarctic,and High-Mountain Asia(HMA),are dominated by the changing cryosphere and have inherently fragile environ-ments(Guo,2018;Kulmala,2018;Guo et al.,2020;Li et al.,2020;Yao et al.,2022;Group on Earth Observations(GEO),2022).Warming has reshaped the regions where the cryo-sphere is located;it has also been affecting water availability in lowland downstream areas,opening up northern sea routes,and affecting the stability of roads and infrastruc-ture in permafrost rich areas(Pulliainen et al.,2019).Changes in the phase of water and its consequences have thus had a major impact on the environment and the lives of billions of people.

关键词： Earth geophysical Arctic

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Arctic Sea Ice and Eurasian Climate:A Review

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Advances in Atmospheric Sciences 2015年第1期32卷 92-114页

作者： GAO Yongqi SUN Jianqi LI Fei HE Shengping stein sandven YAN Qing ZHANG Zhongshi Katja LOHMANN Noel KEENLYSIDE Tore FUREVIK SUO Lingling Nansen-Zhu International Research Centre Institute of Atmospheric Physics Chinese Academy of Sciences Nansen Environmental and Remote Sensing Center/Bjerknes Center for Climate Research Climate Change Research Center Chinese Academy of Sciences Uni Research/Bjerknes Center for Climate Research Max-Planck Institute for Meteorology Geophysical Institute University of Bergen/Bjerknes Center for Climate Research

The Arctic plays a fundamental role in the climate system and has shown significant climate change in recent decades,including the Arctic warming and decline of Arctic sea-ice extent and thickness. In contrast to the Arctic warming and reduction of Arctic sea ice, Europe, East Asia and North America have experienced anomalously cold conditions, with record snowfall during recent years. In this paper, we review current understanding of the sea-ice impacts on the Eurasian climate.Paleo, observational and modelling studies are covered to summarize several major themes, including： the variability of Arctic sea ice and its controls; the likely causes and apparent impacts of the Arctic sea-ice decline during the satellite era,as well as past and projected future impacts and trends; the links and feedback mechanisms between the Arctic sea ice and the Arctic Oscillation/North Atlantic Oscillation, the recent Eurasian cooling, winter atmospheric circulation, summer precipitation in East Asia, spring snowfall over Eurasia, East Asian winter monsoon, and midlatitude extreme weather; and the remote climate response（e.g., atmospheric circulation, air temperature） to changes in Arctic sea ice. We conclude with a brief summary and suggestions for future research.

关键词： Arctic sea ice,Eurasian climate,Arctic Oscillation,review

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