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Reconciled estimation of Antarctic ice sheet mass balance and contribution to global sea level change from 1996 to 2021

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Science China Earth Sciences 2024年第11期67卷 3562-3578页

作者： Rongxing LI Guojun LI Gang HAI Huan XIE Yuan CHENG Wei CHEN Xiangbin CUI Minghu DING Chunchun GAO Tong HAO changqing ke Chuanjin LI Jin LI Yan LIU Jiangjun RAN Jiawen REN Qiang SHEN Yunzhong SHEN Hongling SHI Songyun WANG Zemin WANG Jingang ZHAN Baojun ZHANG Min ZHONG Chunxia ZHOU Center for Spatial Information Science and Sustainable Development Applications Tongji University College of Surveying and Geo-informatics Tongji University Institute for the Conservation of Cultural Heritage School of Cultural Heritage and Information Management Shanghai University College of Resource Environment and Tourism Hubei University of Arts and Science Polar Research Institute of China State key Laboratory of Severe Weather Chinese Academy of Meteorological Sciences College of Geodesy and Geomatics Shandong University of Science and Technology School of Geography and Ocean Science Nanjing University Shanghai Astronomical Observatory Chinese Academy of Sciences State key Laboratory of Remote Sensing Science Faculty of Geographical Science Beijing Normal University Department of Earth and Space Sciences Southern University of Science and Technology State key Laboratory of Cryospheric Science Northwest Institute of Eco-Environment and Resources Chinese Academy of Sciences State key Laboratory of Geodesy and Earth's Dynamics Innovation Academy for Precision Measurement Science and TechnologyChinese Academy of Sciences Center for Space Research University of Texas at Austin Chinese Antarctic Center of Surveying and Mapping Wuhan University School of Geospatial Engineering and Science Sun Yat-sen University

The Antarctic Ice Sheet（AIS） has been losing ice mass and contributing to global sea level rise（GSLR）. Given its mass that is enough to cause ～58 m of GSLR, accurate estimation of mass balance trend is critical for AIS mass loss monitoring and sea level rise forecasting. Here, we present an improved approach to reconciled solutions of mass balance in AIS and its regions from multiple contributing solutions using the input-out, altimetric, and gravimetric methods. In comparison to previous methods, such as IMBIE 2018, this approach utilizes an adaptive data aggregation window to handle the heterogeneity of the contributing solutions, including the number of solutions, temporal distributions, uncertainties, and estimation techniques. We improved the regression-based method by using a two-step procedure that establishes ensembled solutions within each method（input-output, altimetry, or gravimetry） and then estimates the method-independent reconciled solutions. For the first time, 16contributing solutions from 8 Chinese institutions are used to estimate the reconciled mass balance of AIS and its regions from1996 to 2021. Our results show that AIS has lost a total ice mass of ～3213±253 Gt during the period, an equivalent of～8.9±0.7 mm of GSLR. There is a sustained mass loss acceleration since 2006, from 88.1±3.6 Gt yr-1during 1996–2005 to 130.7 ±8.4 Gt yr-1during 2006–2013 and further to 157.0±9.0 Gt yr-1during 2014–2021. The mass loss signal in the West Antarctica and Antarctic Peninsula is dominant and clearly presented in the reconciled estimation and contributing solutions, regardless of estimation methods used and fluctuation of surface mass balance. Uncertainty and challenges remain in mass balance estimation in East Antarctica. This reconciled estimation approach can be extended and applied for improved mass balance estimation in the Greenland Ice Sheet and mountain glacier regions.

关键词： Antarctic Ice Sheet Ice mass loss acceleration Sea level rise Reconciled estimation

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基于多源卫星雷达高度计的南极海冰厚度估算

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海洋学报 2024年第8期46卷 108-120页

作者：沈校熠柯长青李海丽河海大学地球科学与工程学院江苏南京211100 南京大学地理与海洋科学学院江苏南京210023

南极海冰是极地气候系统的重要组成部分,对全球气候有着深远影响。海冰厚度作为海冰的关键属性之一,了解其时空分布特征和变化趋势对理解和预估气候变化进程具有重要意义。然而,目前对于南极海冰厚度的监测局限在时空分布有限的实地观... 详细信息

南极海冰是极地气候系统的重要组成部分,对全球气候有着深远影响。海冰厚度作为海冰的关键属性之一,了解其时空分布特征和变化趋势对理解和预估气候变化进程具有重要意义。然而,目前对于南极海冰厚度的监测局限在时空分布有限的实地观测和短时间序列的卫星观测阶段,长时间序列的冰厚数据仍然缺失。针对这一问题,基于时空连续的卫星雷达高度计Envisat和CryoSat-2,构建了一致性较高的雷达干舷高度数据,定量估算了高度计雷达信号在积雪中的穿透深度,发展了一种适用于南极海冰的厚度遥感估算方法。估算的冰厚与Australian Antarctic Data Centre实测数据的平均绝对偏差约为0.28 m;与ICESat激光雷达高度计冰厚的平均绝对偏差约为0.65 m,相关系数为0.71,一致性较高。2002–2023年南极海冰厚度时空变化分析结果表明,厚冰主要分布于西威德尔海和别林斯高晋海/阿蒙森海,其他海域海冰相对较薄。南极海冰厚度在2011年之前呈现轻微降低趋势,在2011年后加速降低(-0.03 m/a)。南极海冰厚度的分布和变化趋势存在明显的季节和区域特征。

关键词：海冰厚度海冰干舷高度穿透深度雷达高度计南极

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Winter sea ice albedo variations in the Bohai Sea of China

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Acta Oceanologica Sinica 2017年第1期36卷 56-63页

作者： ZHENG Jiajia ke changqing SHAO Zhude Jiangsu Provincial key Laboratory of Geographic Information Science and Technology Nanjing UniversityNanjing 210023China key Laboratory for Satellite Mapping Technology and Applications of State Administration of Surveying Mapping and Geoinformation of ChinaNanjing UniversityNanjing 210023China Collaborative Innovation Center of Novel Software Technology and Industrialization Nanjing 210023China Collaborative Innovation Center of South China Sea Studies Nanjing 210023China Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing 210023China

Sea ice conditions in the Bohai Sea of China are sensitive to large-scale climatic variations. On the basis of CLARA-A1-SAL data, the albedo variations are examined in space and time in the winter（December, January and February） from 1992 to 2008 in the Bohai Sea sea ice region. Time series data of the sea ice concentration（SIC）, the sea ice extent（SIE） and the sea surface temperature（SST） are used to analyze their relationship with the albedo. The sea ice albedo changed in volatility appears along with time, the trend is not obvious and increases very slightly during the study period at a rate of 0.388% per decade over the Bohai Sea sea ice *** interannual variation is between 9.93% and 14.50%, and the average albedo is 11.79%. The sea ice albedo in years with heavy sea ice coverage, 1999, 2000 and 2005, is significantly higher than that in other years; in years with light sea ice coverage, 1994, 1998, 2001 and 2006, has low values. For the monthly albedo, the increasing trend（at a rate of 0.988% per decade） in December is distinctly higher than that in January and February. The mean albedo in January（12.90%） is also distinctly higher than that in the other two months. The albedo is significantly positively correlated with the SIC and is significantly negatively correlated with the SST（significance level 90%）.

关键词： Bohai Sea sea ice region albedo variations in space and time trend sea ice concentration sea ice extent sea surface temperature

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Arctic sea ice volume export through the Fram Strait: variation and its effect factors

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Acta Oceanologica Sinica 2023年第5期42卷 166-178页

作者： Haili Li changqing ke Qinghui Zhu Xiaoyi Shen Jiangsu Provincial key Laboratory of Geographic Information Science and Technology/key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources School of Geography and Ocean ScienceNanjing UniversityNanjing 210023China Collaborative Innovation Center of Novel Software Technology and Industrialization Nanjing 210023China Collaborative Innovation Center of South China Sea Studies Nanjing 210023China

Arctic sea ice export is important for the redistribution of freshwater and sea ice ***,we use the sea ice thickness,sea ice velocity,and sea ice concentration(SIC)to estimate the exported sea ice volume through the Fram Strait from 2011 to *** further analyse the contributions of the sea ice thickness,velocity and concentration to sea ice volume ***,the relationships between atmospheric circulation indices(Arctic Oscillation(AO),North Atlantic Oscillation(NAO),and Arctic Dipole(AD))and the sea ice volume export are ***,we analyse the impact of wind-driven oceanic circulation indices(Ekman transport(ET))on the sea ice volume *** sea ice volume export rapidly increases in winter and decreases in *** exported sea ice volume in winter is likely to exceed that in spring in the *** sea ice thickness,velocity and SIC,the greatest contribution to sea ice export comes from the ice *** exported sea ice volume through the zonal gate of the Fram Strait(which contributes 97%to the total sea ice volume export of the Fram Strait)is much higher than that through the meridional gate(3%)because the sea ice flowing out of the zonal gate has the characteristics of a high thickness(mainly thicker than 1 m),a high velocity(mainly faster than 0.06 m/s)and a high concentration(mainly higher than 80%).The AD and ET explain 53.86%and 38.37%of the variation in sea ice volume export,respectively.

关键词： sea ice thickness sea ice velocity sea ice concentration sea ice volume export Arctic Dipole Ekman transport Fram Strait

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Assessment and adjustment of sea surface salinity products from Aquarius in the southeast Indian Ocean based on in situ measurement and My Ocean modeled data

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Acta Oceanologica Sinica 2016年第3期35卷 54-62页

作者： XIA Shenzhen ke changqing ZHOU Xiaobing ZHANG Jie Jiangsu Provincial key Laboratory of Geographic Information Science and Technology Nanjing UniversityNanjing 210023China Collaborative Innovation Center of South China Sea Studies Nanjing 210023China Collaborative Innovation Center of Novel Software Technology and Industrialization Nanjing 210023China Department of Geophysical Engineering Montana Tech of the University of MontanaButteMT 59701USA The First Institute of Oceanography State Oceanic AdministrationQingdao 266061China

The in situ sea surface salinity（SSS） measurements from a scientific cruise to the western zone of the southeast Indian Ocean covering 30°-60°S, 80°-120°E are used to assess the SSS retrieved from Aquarius（Aquarius SSS）.Wind speed and sea surface temperature（SST） affect the SSS estimates based on passive microwave radiation within the mid- to low-latitude southeast Indian Ocean. The relationships among the in situ, Aquarius SSS and wind-SST corrections are used to adjust the Aquarius SSS. The adjusted Aquarius SSS are compared with the SSS data from My Ocean model. Results show that：（1） Before adjustment： compared with My Ocean SSS, the Aquarius SSS in most of the sea areas is higher; but lower in the low-temperature sea areas located at the south of 55°S and west of 98°E. The Aquarius SSS is generally higher by 0.42 on average for the southeast Indian Ocean.（2） After adjustment： the adjustment greatly counteracts the impact of high wind speeds and improves the overall accuracy of the retrieved salinity（the mean absolute error of the Zonal mean is improved by 0.06, and the mean error is-0.05 compared with My Ocean SSS）. Near the latitude 42°S, the adjusted SSS is well consistent with the My Ocean and the difference is approximately 0.004.

关键词： Aquarius sea surface salinity(SSS) in situ SSS My Ocean comparison analysis southeast Indian Ocean

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An improved optical flow method to estimate Arctic sea ice velocity(winter 2014-2016)

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Acta Oceanologica Sinica 2021年第12期40卷 148-160页

作者： Haili Li changqing ke Qinghui Zhu Xiaoyi Shen Mengmeng Li Jiangsu Provincial key Laboratory of Geographic Information Science and Technology/key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources School of Geography and Ocean ScienceNanjing UniversityNanjing 210023China Collaborative Innovation Center of Novel Software Technology and Industrialization Nanjing 210023China Collaborative Innovation Center of South China Sea Studies Nanjing 210023China

Sea ice velocity impacts the distribution of sea ice,and the flux of exported sea ice through the Fram Strait increases with increasing ice ***,improving the accuracy of estimates of the sea ice velocity is *** introduce a pyramid algorithm into the Horn-Schunck optical flow(HS-OF)method(to develop the PHS-OF method).Before calculating the sea ice velocity,we generate multilayer pyramid images from an original brightness temperature ***,the sea ice velocity of the pyramid layer is calculated,and the ice velocity in the original image is calculated by layer *** Arctic sea ice velocities from 2014 to 2016 are obtained and used to discuss the accuracy of the HS-OF method and PHS-OF(specifically the 2-layer PHS-OF(2 LPHS-OF)and 4-layer PHS-OF(4 LPHS-OF))*** results prove that the PHS-OF method indeed improves the accuracy of sea ice velocity estimates,and the 2 LPHS-OF scheme is more appropriate for estimating ice *** error is smaller for the 2 LPHS-OF velocity estimates than values from the Ocean and Sea Ice Satellite Application Facility and the Copernicus Marine Environment Monitoring Service,and estimates of changes in velocity by the 2 LPHS-OF method are consistent with those from the National Snow and Ice Data *** ice undergoes two main motion patterns,i.e.,transpolar drift and the Beaufort *** addition,cyclonic and anticyclonic ice drift occurred during winter *** in sea ice velocity are related to the open water area,sea ice retreat time and length of the open water season.

关键词： winter sea ice velocity pyramid Horn-Schunck optical flow(PHS-OF)method transpolar drift Beaufort Gyre open water Arctic

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Aerial observations of sea ice and melt ponds near the North Pole during CHINARE2010

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Acta Oceanologica Sinica 2017年第1期36卷 64-72页

作者： LI Lanyu ke changqing XIE Hongjie LEI Ruibo TAO Anqi Jiangsu Provincial key Laboratory of Geographic Information Science and Technology Nanjing University Department of Geological Sciences University of Texas at San Antonio Polar Research Institute of China State Oceanic Administration

An aerial photography has been used to provide validation data on sea ice near the North Pole where most polar orbiting satellites cannot cover. This kind of data can also be used as a supplement for missing data and for reducing the uncertainty of data interpolation. The aerial photos are analyzed near the North Pole collected during the Chinese national arctic research expedition in the summer of 2010（CHINARE2010）. The result shows that the average fraction of open water increases from the ice camp at approximately 87°N to the North Pole, resulting in the decrease in the sea ice. The average sea ice concentration is only 62.0% for the two flights（16 and 19 August 2010）. The average albedo（0.42） estimated from the area ratios among snow-covered ice,melt pond and water is slightly lower than the 0.49 of HOTRAX 2005. The data on 19 August 2010 shows that the albedo decreases from the ice camp at approximately 87°N to the North Pole, primarily due to the decrease in the fraction of snow-covered ice and the increase in fractions of melt-pond and open-water. The ice concentration from the aerial photos and AMSR-E（The Advanced Microwave Scanning Radiometer-Earth Observing System） images at 87.0°–87.5°N exhibits similar spatial patterns, although the AMSR-E concentration is approximately 18.0%（on average） higher than aerial photos. This can be attributed to the 6.25 km resolution of AMSR-E, which cannot separate melt ponds/submerged ice from ice and cannot detect the small leads between floes. Thus, the aerial photos would play an important role in providing high-resolution independent estimates of the ice concentration and the fraction of melt pond cover to validate and/or supplement space-borne remote sensing products near the North Pole.

关键词： sea ice melt pond albedo concentration aerial observation North Pole

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Spatial-temporal variations in net primary productivity in the Arctic from 2003 to 2016

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Acta Oceanologica Sinica 2019年第8期38卷 111-121页

作者： Haili Li changqing ke Qinghui Zhu Su Shu Jiangsu Provincial key Laboratory of Geographic Information Science and Technology Nanjing University Nanjing 210023 China School of Geographic and Oceanographic Sciences Nanjing University Nanjing 210023 China Collaborative Innovation Center of Novel Software Technology and Industrialization Nanjing 210023 China Navigation College Dalian Maritime University Dalian 116026 China

The area of Arctic sea ice has dramatically decreased, and the length of the open water season has increased;these patterns have been observed by satellite remote sensing since the 1970 s. In this paper, we calculate the net primary productivity(NPP, calculated by carbon) from 2003 to 2016 based on sea ice concentration products,chlorophyll a(Chl a) concentration, photosynthetically active radiation(PAR), sea surface temperature(SST), and sunshine duration data. We then analyse the spatiotemporal changes in the Chl a concentration and NPP and further investigate the relations among NPP, the open water area, and the length of the open water season. The results indicate that(1) the Chl a concentration increased by 0.025 mg/m^3 per year;(2) the NPP increased by 4.29 mg/(m^2·d) per year, reaching a maximum of 525.74 mg/(m^2·d) in 2016;and(3) the Arctic open water area increased by 57.23×10^3 km^2/a, with a growth rate of 1.53 d/a for the length of the open water season. The annual NPP was significantly positively related to the open water area, the length of the open water season and the *** daily NPP was also found to have a lag correlation with the open water area, with a lag time of two *** global warming, NPP has maintained an increasing trend, with the most significant increase occurring in the Kara Sea. In summary, this study provides a macroscopic understanding of the distribution of phytoplankton in the Arctic, which is valuable information for the evaluation and management of marine ecological environments.

关键词： sea ice open water area chlorophyll a net primary productivity Arctic

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Spatio-temporal variability of Arctic sea ice from 2002 to 2011

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遥感学报 2013年第A2期17卷 452-466页

作者： ke changqing 南京大学江苏省地理信息技术重点实验室南京 210093 中国极地研究中心上海 200136 Department of Geological Sciences University of Texas at San Antonio USA Texas 78249

基于2002年-2011年AMSR-E海冰密集度数据,分析了北极海冰的时空变化特征及其原因。结果表明海冰外缘线面积每年减小8.28×10~4 km~2,下降趋势最快的季节为夏季,下降速度是1979年-2006年的两倍多,而且海冰密集度也在降低。2003年、2004... 详细信息

基于2002年-2011年AMSR-E海冰密集度数据,分析了北极海冰的时空变化特征及其原因。结果表明海冰外缘线面积每年减小8.28×10~4 km~2,下降趋势最快的季节为夏季,下降速度是1979年-2006年的两倍多,而且海冰密集度也在降低。2003年、2004年的冰情相对较重,2007年海冰面积最小。长期冰在2002年-2010年间减少了近30%,减少的区域主要在波弗特海、楚科奇海、东西伯利亚海、拉普贴夫海、喀拉海以及由这些边缘海向北极方向延伸的北冰洋的广大区域,长期冰减少的地方大部分为季节性海冰增加的地方。海冰面积与年平均气温之间有显著的负相关关系,随着全球气候变暖的加剧,这种减小趋势将会持续。

关键词：遥感技术遥感方式遥感图像图像处理

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基于TM影像的南京市土地利用遥感动态监测

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武汉大学学报（信息科学版） 2006年第11期31卷 958-961页

作者：曹雪柯长青南京大学城市与资源学系南京市汉口路22号210093

基于南京市1988年和1998年两期TM影像,首先用辐射水准归一化法将1998年影像校正到1988年影像的辐射水平上,再经过几何校正、训练区纯化等预处理,对两期影像分别用最大似然法进行分类,然后在Arc/Info的GRID模块中编写AML语言,对得到的两... 详细信息

基于南京市1988年和1998年两期TM影像,首先用辐射水准归一化法将1998年影像校正到1988年影像的辐射水平上,再经过几何校正、训练区纯化等预处理,对两期影像分别用最大似然法进行分类,然后在Arc/Info的GRID模块中编写AML语言,对得到的两期土地利用分类图进行叠置运算,提取出土地利用动态变化信息。分析结果表明,10 a间南京市耕地面积大量减少,林地面积有所增加。

关键词： TM影像最大似然法土地利用动态监测

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