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| 1 | An Arctic sea ice thickness variability revealed from satellite altimetric measurements显示文摘A modified algorithm taking into account the first year(FY) and multiyear(MY) ice densities is used to derive a sea ice thickness from freeboard measurements acquired by satellite altimetry ICESat(2003–2008). Estimates agree with various independent in situ measurements within 0.21 m. Both the fall and winter campaigns see a dramatic extent retreat of thicker MY ice that survives at least one summer melting season. There were strong seasonal and interannual variabilities with regard to the mean thickness. Seasonal increases of 0.53 m for FY the ice and 0.29 m for the MY ice between the autumn and the winter ICESat campaigns, roughly 4–5 month separation, were found. Interannually, the significant MY ice thickness declines over the consecutive four ICESat winter campaigns(2005–2008) leads to a pronounced thickness drop of 0.8 m in MY sea ice zones. No clear trend was identified from the averaged thickness of thinner, FY ice that emerges in autumn and winter and melts in summer. Uncertainty estimates for our calculated thickness, caused by the standard deviations of multiple input parameters including freeboard, ice density, snow density, snow depth, show large errors more than 0.5 m in thicker MY ice zones and relatively small standard deviations under 0.5 m elsewhere. Moreover, a sensitivity analysis is implemented to determine the separate impact on the thickness estimate in the dependence of an individual input variable as mentioned above. The results show systematic bias of the estimated ice thickness appears to be mainly caused by the variations of freeboard as well as the ice density whereas the snow density and depth brings about relatively insignificant errors. | BI Haibo HUANG Haijun SU Qiao YAN Liwen LIU Yanxia XU Xiuli | 2014 | Acta Oceanologica Sinica2014，33，11： | 8 |
| 2 | Satellite-observed trends in the Arctic sea ice concentration for the period 1979–2016显示文摘Arctic sea ice cover has decreased dramatically over the last three decades. This study quanti?es the sea ice concentration(SIC) trends in the Arctic Ocean over the period of 1979–2016 and analyzes their spatial and temporal variations. During each month the SIC trends are negative over the Arctic Ocean, wherein the largest(smallest) rate of decline found in September(March) is-0.48%/a(-0.10%/a).The summer(-0.42%/a) and autumn(-0.31%/a) seasons show faster decrease rates than those of winter(-0.12%/a) and spring(-0.20%/a) seasons. Regional variability is large in the annual SIC trend. The largest SIC trends are observed for the Kara(-0.60%/a) and Barents Seas(-0.54%/a), followed by the Chukchi Sea(-0.48%/a), East Siberian Sea(-0.43%/a), Laptev Sea(-0.38%/a), and Beaufort Sea(-0.36%/a). The annual SIC trend for the whole Arctic Ocean is-0.26%/a over the same period. Furthermore, the in?uences and feedbacks between the SIC and three climate indexes and three climatic parameters, including the Arctic Oscillation(AO), North Atlantic Oscillation(NAO), Dipole anomaly(DA), sea surface temperature(SST), surface air temperature(SAT), and surface wind(SW), are investigated. Statistically, sea ice provides memory for the Arctic climate system so that changes in SIC driven by the climate indices(AO, NAO and DA) can be felt during the ensuing seasons. Positive SST trends can cause greater SIC reductions, which is observed in the Greenland and Barents Seas during the autumn and winter. In contrast, the removal of sea ice(i.e., loss of the insulating layer) likely contributes to a colder sea surface(i.e., decreased SST), as is observed in northern Barents Sea. Decreasing SIC trends can lead to an in-phase enhancement of SAT, while SAT variations seem to have a lagged in?uence on SIC trends. SW plays an important role in the modulating SIC trends in two ways: by transporting moist and warm air that melts sea ice in peripheral seas(typically evident inthe Barents Sea) and by exporting sea ice out of the Arctic Ocean via passages into the Greenland and Barents Seas, including the Fram Strait, the passage between Svalbard and Franz Josef Land(S-FJL),and the passage between Franz Josef Land and Severnaya Zemlya(FJL-SZ). | WANG Yunhe BI Haibo HUANG Haijun LIU Yanxia LIU Yilin LIANG Xi FU Min ZHANG Zehua | 2019 | Journal of Oceanology and Limnology2019，37，1： | 7 |
| 3 | Boron modulating electronic structure of FeN4C to initiate high-efficiency oxygen reduction reaction and high-performance zinc-air battery显示文摘The biggest challenge is to develop a low cost and readily available catalyst to replace expensive commercial Pt/C for efficient electrochemical oxygen reduction reaction(ORR).In this research,closo-[B_(12)H_(12)]^(2−)and 1,10-phenanthroline-iron complexes were introduced into the porous metal-organic framework by impregnation method,and further annealing treatment achieved the successful anchoring of single-atom-Fe in B-doped CN Matrix(FeN4CB).The ORR activity of FeN4CB is comparable to the widely used commercial 20 wt%Pt/C.Where the half-wave potential(E_(1/2))in alkaline medium up to 0.84 V,and even in the face of challenging ORR in acidic medium,the E_(1/2)of ORR driven by FeN4CB is still as high as 0.81 V.When FeN4CB was used as air cathode,the open circuit voltage of Zn-air battery reaches 1.435 V,and the power density and specific capacity are as high as 177 mW cm^(−2)and 800 mAh g_(Zn)^(−1)(theoretical value:820 mAh g_(Zn)^(−1)),respectively.The dazzling point of FeN4CB also appears in the high ORR stability,whether in alkaline or acidic media,E_(1/2)and limiting current density are still close to the initial value after 5000 times cycles.After continuously running the charge-discharge test for 220 h,the charge voltage and discharge voltage of the rechargeable zinc-air battery with FeN4CB as the air cathode maintained the initial state.Density functional theory calculations reveals that introducing B atom to Fe–N4–C can adjust the electronic structure to easily break O=O bond and significantly reduce the energy barrier of the rate-determining step resulting in an improved ORR activity. | Xue Zhao Xue Li Zenghui Bi Yuwen Wang Haibo Zhang Xiaohai Zhou Quan Wang Yingtang Zhou Huaisheng Wang Guangzhi Hu | 2022 | Journal of Energy Chemistry2022，31，3： | 6 |
| 4 | Retrieving the antarctic sea-ice concentration based on AMSR-E 89 GHz data显示文摘Sea-ice concentration is a key item in global climate change research.Recent progress in remotely sensed sea-ice concentration product has been stimulated by the use of a new sensor,advanced microwave scanning radiometer for EOS(AMSR-E),which offers a spatial resolution of 6 km×4 km at 89GHz.A new inversion algorithm named LASI(linear ASI) using AMSR-E 89GHz data was proposed and applied in the antarctic sea areas.And then comparisons between the LASI ice concentration products and those retrieved by the other two standard algorithms,ASI(arctic radiation and turbulence interaction study sea-ice algorithm) and bootstrap,were made.Both the spatial and temporal variability patterns of ice concentration differences,LASI minus ASI and LASI minus bootstrap,were investigated.Comparative data suggest a high result consistency,especially between LASI and ASI.On the other hand,in order to estimate the LASI ice concentration errors introduced by the tie-points uncertainties,a sensitivity analysis was carried out.Additionally an LASI algorithm error estimation based on the field measurements was also completed.The errors suggest that the moderate to high ice concentration areas(>70%) are less affected(never exceeding 10%) than those in the low ice concentration.LASI and ASI consume 75 and 112 s respectively when processing the same AMSR-E time series thourghout the year 2010.To conclude,by using the LASI algorithm,not only the seaice concentration can be retrieved with at least an equal quality as that of the two extensively demonstrated operational algorithms,ASI and bootstrap,but also in a more efficient way than ASI. | YU Qinglong WANG Hui WAN Liying BI Haibo | 2013 | Acta Oceanologica Sinica2013，32，9： | 5 |
| 5 | Arctic sea ice volume export through the Fram Strait from combined satellite and model data:1979–2012显示文摘By combing satellite-derived ice motion and concentration with ice thickness fields from a popular model PIOMAS we obtain the estimates of ice volume flux passing the Fram Strait over the 1979–2012 period. Since current satellite and field observations for sea ice thickness are limited in time and space, the use of PIOMAS is expected to fill the gap by providing temporally continued ice thickness fields. Calculated monthly volume flux exhibits a prominent annual cycle with the peak record in March(roughly 145 km3/month) and the trough in August(10 km^3/month). Annual ice volume flux(1 132 km^3) is primarily attributable to winter(October through May) outflow(approximately 92%). Uncertainty in annual ice volume export is estimated to be 55 km^3(or 5.7%). Our results also verified the extremely large volume flux appearing between late 1980 s and mid-1990 s. Nevertheless, no clear trend was found in our volume flux results. Ice motion is the primary factor in the determination of behavior of volume flux. Ice thickness presented a general decline trend may partly enhance or weaken the volume flux trend. Ice concentration exerted the least influences on modulating trends and variability in volume flux. Moreover, the linkage between winter ice volume flux and three established Arctic atmospheric schemes were examined. Compared to NAO, the DA and EOF3 mechanism explains a larger part of variations of ice volume flux across the strait. | ZHANG Zehua BI Haibo SUN Ke HUANG Haijun LIU Yanxia YAN Liwen | 2017 | Acta Oceanologica Sinica2017，36，1： | 4 |
| 6 | Biodegradation behavior of magnesium and ZK60 alloy in artificial urine and rat models显示文摘In this work, the biodegradable and histocompatibility properties of pure Mg and ZK60 alloy wereinvestigated as new temporary implants for urinary applications. The corrosion mechanism in artificialurine was proposed using electrochemical impedance spectroscopy and potentiodynamic polarizationtests. The corrosion potential of pure magnesium and ZK60 alloy were -1820 and -1561 mV, respectively,and the corrosion current densities were 59.66 ± 6.41 and 41.94 ± 0.53 μA cm^-2, respectively. Thein vitro degradation rates for pure Mg and ZK60 alloy in artificial urine were 0.382 and 1.023 mm/y,respectively, determined from immersion tests. The ZK60 alloy degraded faster than the pure Mg in bothartificial urine and in rat bladders (the implants of both samples are ø 3 mm × 5 mm). Histocompatibilityevaluations showed good histocompatibility for the pure Mg and ZK60 alloy during the 3 weeks postimplantationin rat bladders, and no harm was observed in the bladder, liver and kidney tissues. Theresults provide key information on the degradation properties and corrosion mechanism of pure Mg andZK60 alloy in the urinary system. | Shiying Zhang Yanze Bi Jianye Li Zhenguo Wang Jingmin Yan Jiawang Song Haibo Sheng Heqing Guo Yan Li | 2017 | Bioactive Materials2017，2，2： | 4 |
| 7 | Estimation of tropical cyclone parameters and wind fields from SAR images显示文摘The traditional method of Synthetic Aperture Radar(SAR)wind field retrieval is based on an empirical relation between the near surface winds and the normalized radar backscatter cross section to estimate wind speeds,where this relation is called the geophysical model function(GMF).However,the accuracy rapidly decreases due to the impact of rainfall on the measurement of SAR and the saturation of backscattered intensity under the condition of tropical cyclone.Because of no available instrument synchronously monitoring rain rate on the satellite platform of SAR,we have to derive the precipitation of the SAR observation time from non-simultaneous passive microwave observations of rain in combination with geostationary IR images,and then use the model of rain correction to remove the impact of rain on SAR wind field measurements.For the saturation of radar backscatter cross section in high wind speed conditions,we develop an approach to estimate tropical cyclone parameters and wind fields based on the improved Holland model and the SAR image features of tropical cyclone.To retrieve the low-to-moderate wind speed,the wind direction of tropical cyclone is estimated from the SAR image using wavelet analysis.And then the maximum wind speed and the central pressure of tropical cyclone are calculated by a least square minimization of the difference between the improved Holland model and the low-to-moderate wind speed retrieved from SAR.In addition,wind fields are estimated from the improved Holland model using the above-mentioned parameters of tropical cyclone as input.To evaluate the accuracy of our approach,the SAR images of typhoon Aere,typhoon Khanun,and hurricane Ophelia are used to estimate tropical cyclone parameters and wind fields,which are compared with the best track data and reanalyzed wind fields of the Joint Typhoon Warning Center(JTWC)and the Hurricane Research Division(HRD).The results indicate that the tropical cyclone center,maximum wind speed,and central pressure are generally consistent with the best track data,and wind fields agree well with reanalyzed data from HRD. | ZHOU Xuan YANG XiaoFeng LI ZiWei YU Yang BI HaiBo MA Sheng LI XiaoFeng | 2013 | Science China Earth Sciences2013，56，11： | 4 |
| 8 | Arctic multiyear sea ice variability observed from satellites:a review显示文摘In comparison with seasonal sea ice(first-year ice,FY ice),multiyear(MY)sea ice is thicker and has more opportunity to survive through the summer melting seasons.Therefore,the variability of wintertime MY ice plays a vital role in modulating the variations in the Arctic sea ice minimum extent during the following summer.As a response,the ice-ocean-atmosphere interactions may be significantly affected by the variations in the MY ice cover.Satellite observations are characterized by their capability to capture the spatiotemporal changes of Arctic sea ice.During the recent decades,many active and passive sensors onboard a variety of satellites(QuikSCAT,ASCAT,SSMIS,ICESat,CryoSat-2,etc.)have been used to monitor the dramatic loss of Arctic MY ice.The main objective of this study is to outline the advances and remaining challenges in monitoring the MY ice changes through the utilization of multiple satellite observations.We summarize the primary satellite data sources that are used to identify MY ice.The methodology to classify MY ice and derive MY ice concentration is reviewed.The interannual variability and trends in the MY ice time series in terms of coverage,thickness,volume,and age composition are evaluated.The potential causes associated with the observed Arctic MY ice loss are outlined,which are primarily related to the export and melting mechanisms.In addition,the causes to the MY ice depletion from the perspective of the oceanic water inflow from Pacific and Atlantic Oceans and the water vapor intrusion,as well as the roles of synoptic weather,are analyzed.The remaining challenges and possible upcoming research subjects in detecting the rapidly changing Arctic MY ice using the combined application of multisource remote sensing techniques are discussed.Moreover,some suggestions for the future application of satellite observations on the investigations of MY ice cover changes are proposed. | BI Haibo LIANG Yu WANG Yunhe LIANG Xi ZHANG Zehua DU Tingqin YU Qinglong HUANG Jue KONG Mei HUANG Haijun | 2020 | Journal of Oceanology and Limnology2020，38，4： | 2 |
| 9 | Recent satellite-derived sea ice volume flux through the Fram Strait: 2011–2015显示文摘The Fram Strait(FS) is the primary region of sea ice export from the Arctic Ocean and thus plays an important role in regulating the amount of sea ice and fresh water entering the North Atlantic seas. A 5 a(2011–2015) sea ice thickness record retrieved from Cryo Sat-2 observations is used to derive a sea ice volume flux via the FS. Over this period, a mean winter accumulative volume flux(WAVF) based on sea ice drift data derived from passivemicrowave measurements, which are provided by the National Snow and Ice Data Center(NSIDC) and the Institut Francais de Recherche pour d'Exploitation de la Mer(IFREMER), amounts to 1 029 km^3(NSIDC) and1 463 km^3(IFREMER), respectively. For this period, a mean monthly volume flux(area flux) difference between the estimates derived from the NSIDC and IFREMER drift data is –62 km^3 per month(–18×10~6 km^2 per month).Analysis reveals that this negative bias is mainly attributable to faster IFREMER drift speeds in comparison with slower NSIDC drift data. NSIDC-based sea ice volume flux estimates are compared with the results from the University of Bremen(UB), and the two products agree relatively well with a mean monthly bias of(5.7±45.9) km^3 per month for the period from January 2011 to August 2013. IFREMER-based volume flux is also in good agreement with previous results of the 1990 s. Compared with P1(1990/1991–1993/1994) and P2(2003/2004–2007/2008), the WAVF estimates indicate a decline of more than 600 km^3 in P3(2011/2012–2014/2015). Over the three periods, the variability and the decline in the sea ice volume flux are mainly attributable to sea ice motion changes, and second to sea ice thickness changes, and the least to sea ice concentration variations. | BI Haibo WANG Yunhe ZHANG Wenfeng ZHANG Zehua LIANG Yu ZHANG Yi HU Wenmin FU Min HUANG Haijun | 2018 | Acta Oceanologica Sinica2018，37，9： | 2 |
| 10 | Role of atmospheric factors in forcing Arctic sea ice variability显示文摘The spatial structure of the Arctic sea ice concentration(SIC)variability and the connection to atmospheric as well as radiative forcing during winter and summer for the 1979–2017 period are investigated.The interannual variability with different spatial characteristics of SIC in summer and winter is extracted using the empirical orthogonal function(EOF)analysis.The present study confirms that the atmospheric circulation has a strong influence on the SIC through both dynamic and thermodynamic processes,as the heat flux anomalies in summer are radiatively forced while those in winter contain both radiative and“circulation-induced”components.Thus,atmospheric fluctuations have an explicit and extensive influence to the SIC through complex mechanisms during both seasons.Moreover,analysis of a variety of atmospheric variables indicates that the primary mechanism about specific regional SIC patterns in Arctic marginal seas are different with special characteristics. | Yu Liang Haibo Bi Yunhe Wang Zehua Zhang Haijun Huang | 2020 | Acta Oceanologica Sinica2020，39，9： | 2 |
| 11 | Separation and accumulation of Cu(Ⅱ),Zn(Ⅱ) and Cr(Ⅵ) from aqueous solution by magnetic chitosan modified with diethylenetria-mine显示文摘 | Li Haibo Bi Shaodan Liu Long | 2011 | Desalination2011，278，3： | 1 |
| 12 | High performance Au/Ag core/shell bipyramids for determination of thiram based on surface‐enhanced Raman scattering显示文摘 | Xia Zheng Yanhua Chen Yang Chen Ning Bi Haibo Qi Meihong Qin Dan Song Hanqi Zhang Yuan Tian | 2012 | J Raman Spectrosc2012，，10： | 1 |
| 13 | Effects of Suspended Culture of the Seaweed Laminaria japonica Aresch on the Flow Structure and Sedimentation Processes显示文摘The culture of suspended kelp, such as Laminaria japonica Aresch, has arisen in nearshore areas for approximately 30 years since the 1980 s. This long-term activity has significant impact on the regional hydrodynamic and sedimentary environments. In this study the impact was investigated, based on synchronized multi-station data from continuous observations made within and around the culture area. In total, three current velocity profiles were identified inside and on the landward side of the culture area. Based on the current velocity profiles we calculated the boundary layer parameters, the fluxes of erosion/deposition, and the rate of sediment transport in different times at each observation site. Comparison between culture and non-culture periods showed that the presence of suspended kelp caused the reduction in the average flow velocity by approximately 49.5%, the bottom friction velocity by 24.8%, the seabed roughness length by 62.7%, and the shear stress and the flux of resuspended sediment by approximately 50%. From analyses in combination with the corresponding vertical variation of the suspended sediment distribution, it is revealed that the lifted sediments by resuspension is mixed with the upper suspended material, which will modify the regional distribution of suspended sediment. These changes in flow structure and sediment movement will accelerate seabed siltation, which corresponds to the changes in seabed erosion/deposition. However, under the influences of the seasonal changes in kelp growth the magnitude of change with the seabed siltation was not obvious inside the culture area, but a fundamental change was apparent around the culture area. | ZHANG Zehua HUANG Haijun LIU Yanxia YAN Liwen BI Haibo | 2016 | Journal of Ocean University of China2016，15，4： | 1 |
| 14 | Instability of parasitic capacitance in T-shape-gate enhancementmode AlGaN/GaN MIS-HEMTs显示文摘Parasitic capacitances associated with overhangs of the T-shape-gate enhancement-mode(E-mode)GaN-based power device,were investigated by frequency/voltage-dependent capacitance-voltage and inductive-load switching measurements.The overhang capacitances induce a pinch-off voltage distinguished from that of the E-mode channel capacitance in the gate capacitance and the gatedrain capacitance characteristic curves.Frequency-and voltage-dependent tests confirm the instability caused by the trapping of interface/bulk states in the LPCVD-SiNx passivation dielectric.Circuit-level double pulse measurement also reveals its impact on switching transition for power switching applications. | Lan Bi Yixu Yao Qimeng Jiang Sen Huang Xinhua Wang Hao Jin Xinyue Dai Zhengyuan Xu Jie Fan Haibo Yin Ke Wei Xinyu Liu | 2022 | Journal of Semiconductors2022，43，3： | 1 |
| 15 | A review of synoptic weather effects on sea ice outflow through Fram Strait: cyclone vs. anticyclone显示文摘Sea ice outflow through Fram Strait is a vital component of the sea ice mass balance of the Arctic Ocean.Previous studies have examined the role of large-scale modes of atmospheric circulation variability such as the Arctic Oscillation,North Atlantic Oscillation,and Dipole Anomaly in the movement of sea ice.This review emphasizes the distinct impacts of synoptic weather on sea ice export as well as on other relevant fields(i.e.,sea ice concentration and sea ice drift).We identify deficiencies in previous studies that should be addressed,and we summarize potential research subjects that should be investigated to further our understanding of the relationship between synoptic weather and sea ice export via Fram Strait.For example,the connection between summertime anticyclones and weakened potential vorticity related to the observed extensive spring Eurasian snow and Siberian Ocean sea ice loss is of considerable interest.In-depth exploration of this type of geophysical mechanism will be particularly useful in assessment of the robustness of such linkages inferred through statistical analyses. | LIANG Yu BI Haibo WANG Yunhe ZHANG Zehua ZHANG Yi LIU Yanxia HUANG Haijun | 2020 | Advances in Polar Science2020，31，1： | 1 |
| 16 | Determination of mercury(II) by surface-enhanced Raman scattering spectroscopy based on thiol-functionalized silver nanoparticles显示文摘 | Yang Chen Lihang Wu Yanhua Chen Ning Bi Xia Zheng Haibo Qi Meihong Qin Xue Liao Hanqi Zhang Yuan Tian | 2012 | Microchimica Acta2012，，3： | 1 |
| 17 | Mercury and other metal and metalloid soil contamination near a Pb/Zn smelter in east Hunan province, China显示文摘 | Zhonggen Li Xinbin Feng Guanghui Li Xiangyang Bi Guangyi Sun Jianming Zhu Haibo Qin Jianxu Wang | 2010 | Applied Geochemistry2010，，2： | 1 |
| 18 | Increasing Winter Conductive Heat Transfer in the Arctic Sea-ice-covered Areas: 1979–2014显示文摘Sea ice is a quite sensitive indicator in response to regional and global climate changes. Based on monthly mean PanArctic Ice Ocean Modeling and Assimilation System(PIOMAS) sea ice thickness fields, we computed the conductive heat flux(CHF) in the Arctic Ocean in the four winter months(November–February) for a long period of 36 years(1979–2014). The calculated results for each month manifest the increasing extension of the domain with high CHF values since 1979 till 2014. In 2014, regions of roughly 90% of the central Arctic Ocean have been dominated by the CHF values larger than 18 Wm^(-2)(November–December) and 12 Wm^(-2)(January–February), especially significant in the shelf seas around the Arctic Ocean. Moreover, the population distribution frequency(PDF) patterns of the CHF with time show gradually peak shifting toward increased CHF values. The spatiotemporal patterns in terms of the trends in sea ice thickness and other three geophysical parameters, surface air temperature(SAT), sea ice thickness(SIT), and CHF, are well coupled. This suggests that the thinner sea ice cover preconditions for the more oceanic heat loss into atmosphere(as suggested by increased CHF values), which probably contributes to warmer atmosphere which in turn in the long run will cause thinner ice cover. This represents a positive feedback mechanism of which the overall effects would amplify the Arctic climate changes. | FAN Xieyu BI Haibo WANG Yunhe FU Min ZHOU Xuan XU Xiuli HUANG Haijun | 2017 | Journal of Ocean University of China2017，16，6： | 1 |
| 19 | Separation and ac- cumulation of Cu( I ), Zn( lI ) and Cr( V显示文摘 | Li Haibo Bi Shaodan Liu Long | 2011 | Desalination2011，278，3： | 1 |
| 20 | Arctic sea ice thickness changes in terms of sea ice age显示文摘In this study, changes in Arctic sea ice thickness for each ice age category were examined based on satellite observations and modelled results. Interannual changes obtained from Ice, Cloud, and Land Elevation Satellite(ICESat)-based results show a thickness reduction over perennial sea ice(ice that survives at least one melt season with an age of no less than 2 year) up to approximately 0.5–1.0 m and 0.6–0.8 m(depending on ice age) during the investigated winter and autumn ICESat periods, respectively. Pan-Arctic Ice Ocean Modeling and Assimilation System(PIOMAS)-based results provide a view of a continued thickness reduction over the past four decades. Compared to 1980 s, there is a clear thickness drop of roughly 0.50 m in 2010 s for perennial ice. This overall decrease in sea ice thickness can be in part attributed to the amplified warming climate in north latitudes. Besides, we figure out that strongly anomalous southerly summer surface winds may play an important role in prompting the thickness decline in perennial ice zone through transporting heat deposited in open water(primarily via albedo feedback) in Eurasian sector deep into a broader sea ice regime in central Arctic Ocean. This heat source is responsible for enhanced ice bottom melting, leading to further reduction in ice thickness. | BI Haibo FU Min SUN Ke LIU Yilin XU Xiuli HUANG Haijun | 2016 | Acta Oceanologica Sinica2016，35，10： | 1 |
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