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Retrieval of Antarctic sea ice freeboard and thickness from HY-2B satellite altimeter data

Acta Oceanologica Sinica 2024年第3期43卷 87-101页

作者： Yizhuo Chen xiaoping pang Qing Ji Zhongnan Yan Zeyu Liang Chenlei Zhang Chinese Antarctic Center of Surveying and Mapping Wuhan UniversityWuhan 430079China Key Laboratory of Polar Surveying and Mapping Science Ministry of Natural ResourcesWuhan 430079China Key Laboratory of Polar Environment Monitoring and Public Governance Ministry of EducationWuhan 430079China 4 School of Geography and Tourism Anhui Normal UniversityWuhu 241002China

Antarctic sea ice is an important part of the Earth’s atmospheric system,and satellite remote sensing is an important technology for observing Antarctic sea *** Chinese Haiyang-2B(HY-2B)satellite altimeter data could be used to estimate sea ice freeboard and provide alternative Antarctic sea ice thickness information with a high precision and long time series,as other radar altimetry satellites can,needs further *** paper proposed an algorithm to discriminate leads and then retrieve sea ice freeboard and thickness from HY-2B radar altimeter *** first collected the Moderate-resolution Imaging Spectroradiometer ice surface temperature(IST)product from the National Aeronautics and Space Administration to extract leads from the Antarctic waters and verified their accuracy through Sentinel-1 Synthetic Aperture Radar ***,a surface classification decision tree was generated for HY-2B satellite altimeter measurements of the Antarctic waters to extract leads and calculate local sea surface *** then estimated the Antarctic sea ice freeboard and thickness based on local sea surface heights and the static equilibrium ***,the retrieved HY-2B Antarctic sea ice thickness was compared with the CryoSat-2 sea ice thickness and the Antarctic Sea Ice Processes and Climate(ASPeCt)ship-based observed sea ice *** results indicate that our classification decision tree constructed for HY-2B satellite altimeter measurements was reasonable,and the root mean square error of the obtained sea ice thickness compared to the ship measurements was 0.62 *** proposed sea ice thickness algorithm for the HY-2B radar satellite fills a gap in this application domain for the HY-series satellites and can be a complement to existing Antarctic sea ice thickness products;this algorithm could provide long-time-series and large-scale sea ice thickness data that contribute to research on global climate change.

关键词： HY-2B satellite altimeter classification decision tree sea ice freeboard and thickness Antarctic waters

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ICESat-2高程信息辅助下的北极冰区航线规划

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武汉大学学报（信息科学版） 2024年第9期49卷 1610-1620页

作者：赵羲霍瑞陈亦卓马跃季青庞小平武汉大学中国南极测绘研究中心湖北武汉430079 武汉大学极地测绘科学国家测绘地理信息局重点实验室湖北武汉430079 武汉大学电子信息学院湖北武汉430072

为了实现北极航道重点区域海冰冰情的精准监测,高分辨率的海冰厚度信息必不可少,而目前普遍存在的千米级分辨率的海冰厚度数据无法满足该需求。针对以上问题,借助冰、云和陆地高程卫星(ice,cloud,and land elevation satellite-2,ICESat... 详细信息

为了实现北极航道重点区域海冰冰情的精准监测,高分辨率的海冰厚度信息必不可少,而目前普遍存在的千米级分辨率的海冰厚度数据无法满足该需求。针对以上问题,借助冰、云和陆地高程卫星(ice,cloud,and land elevation satellite-2,ICESat-2)测高数据沿轨间隔密集的优势,尝试建立ICESat-2 ATL10海冰干舷产品和哨兵2号(Sentinel-2)高分辨率影像反照率之间的回归模型。利用此模型获取密集分布的海冰干舷信息,通过静力平衡方程模型得到高分辨率的海冰厚度,结合基于Sentinel-2影像获取的高分辨率海冰密集度,对船舶进行北极航道小尺度区域下的适航性分析并规划最优航线。研究表明,ATL10海冰干舷值和Sentinel-2反照率拟合得到的回归模型具有较好的拟合精度,R^(2)均高于0.5,平均偏差均小于0.05 m,均方根误差均小于0.2 m。此外,高分辨率海冰参数信息对真实冰情细节之处的描述更加准确,尤其是在低分辨率海冰参数结果中较难体现浮冰间细小冰间水道的分布情况,因此所提高分辨率海冰参数反演方法可以为冰区船舶规划出更加精确的航行路线。

关键词： ICESat-2 海冰密集度海冰厚度航线规划

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Snow features on sea ice in the western Arctic Ocean during summer 2016

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International Journal of Digital Earth 2021年第10期14卷 1397-1410页

作者： Qing Ji xiaoping pang Xi Zhao Ruibo Lei Chinese Antarctic Center of Surveying and Mapping Wuhan UniversityWuhanPeople’s Republic of China Polar Research of China ShanghaiPeople’s Republic of China

Arctic sea ice and its snow cover are important components of the cryosphere and the climate system.A series of in situ snow measurements were conducted during the seventh Chinese Arctic expedition in summer 2016 in the western Arctic *** this study,we made an analysis of snow features on Arctic sea ice based on in situ observations and the satellite-derived parameter of snow grain size from MODIS spectral reflectance *** indicate that snow depth on Arctic sea ice varied between 19 and 241 mm,with a mean value of 100 *** mean density of the snow was 340.4 kg/m^(3)during the expedition,which was higher than that reported in previous *** measurements revealed that a depth hoar layer was widely developed in the snow,accounting for 30%∼50%of the total snow *** equivalent snow grain size was small on the surface and large at the bottom in snow *** average relative error between MODIS-derived snow grain size and in situ measured surface snow grain size is 14.6%,indicating that remote sensing is a promising method to obtain large-scale information of snow grain size on Arctic sea ice.

关键词： Snow cover snow grain size snow stratigraphy remote sensing

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Characterization of sea ice and its snow cover in the Arctic Pacific sector during the summer of 2016

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Acta Oceanologica Sinica 2021年第1期40卷 33-42页

作者： Qing Ji Ying Liu xiaoping pang Yue Pan Xi Zhao Chinese Antarctic Center of Surveying and Mapping Wuhan UniversityWuhan 430079China Key Laboratory of Polar Surveying and Mapping Ministry of Natural ResourcesWuhan 430079China School of Resource and Environmental Sciences Wuhan UniversityWuhan 430079China

A comprehensive analysis of sea ice and its snow cover during the summer in the Arctic Pacific sector was conducted using the observations recorded during the 7th Chinese National Arctic Research Expedition(CHIANRE-2016)and the satellite-derived parameters of the melt pond fraction(MPF)and snow grain size(SGS)from MODIS *** results show that there were many low-concentration ice areas in the south of 78°N,while the ice concentration and thickness increased significantly with the latitude above the north of 78°N during *** average MPF presented a trend of increasing in June and then decreasing in early September for *** average snow depth on sea ice increased with latitude in the Arctic Pacific *** found a widely developed depth hoar layer in the snow stratigraphic *** average SGS generally increased from June to early August and then decreased from August to September in 2016,and two valley values appeared during this period due to snowfall incidents.

关键词： sea ice snow cover melt pond fraction snow grain size Arctic Pacific sector

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Daily sea ice concentration product based on brightness temperature data of FY-3D MWRI in the Arctic

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Big Earth Data 2022年第2期6卷 164-178页

作者： Ying Chen Xi Zhao xiaoping pang Qing Ji Chinese Antarctic Center of Surveying and Mapping Wuhan UniversityWuhanChina

A daily sea ice concentration(SIC)product in the Arctic,derived from the brightness temperature(TB)data of the Microwave Radiation Imager(MWRI)sensor aboard on the FY-3D satellite,is described in this *** MWRI TB raw swath data were first processed into daily gridded data and then corrected using the Advanced Microwave Scanning Radiometer 2(AMSR2)*** ASI algorithm,which uses daily dynamic tie points,was adopted to calculate daily SIC at 12.5 km polar stereographic projection from January 2018 to June *** generated MWRI SIC product was compared with the AMSR2 SIC based on the ASI algorithm that uses fixed tie *** more detailed comparison,we then compared our MWRI SIC with the SIC from the Moderate Resolution Imaging Spectroradiometer(MODIS)*** mean bias between our MWRI SIC and AMSR2 SIC is 4.24%.The absolute values of biases between the daily MWRI SIC and MODIS SIC range from 0.14%to 10.76%,better than the MWRI SIC product based on the NT2 algorithm published by the Chinese National Satellite Meteorological *** results show that our MWRI SIC product has a good quality and can be used as a basic dataset for sea ice extent *** dataset is available at http://***/10.11922/sciencedb.00137.

关键词： Sea ice concentration FY-3D MWRI brightness temperature Arctic

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Changes in sea ice kinematics in the Arctic outflow region and their associations with Arctic Northeast Passage accessibility

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Acta Oceanologica Sinica 2019年第8期38卷 101-110页

作者： Dawei Gui xiaoping pang Ruibo Lei Xi Zhao Jia Wang Chinese Antarctic Center of Surveying and Mapping Wuhan University Wuhan 430079 China MNR Key Laboratory for Polar Science Polar Research Institute of China Shanghai 200136 China National Oceanic and Atmospheric Administration Great Lakes Environmental Research Laboratory Ann Arbor 48108-9719 USA

Amplification of climate warming in the Arctic is causing a dramatic retreat of sea ice, which means the Arctic sea routes are becoming increasingly accessible. This study used a satellite-derived sea ice motion product to quantify the kinematic features of sea ice in the Arctic outflow region which specially referred to the Fram Strait and to the north of the Northeast Passage(NEP). An observed trend of increased southward sea ice displacement from the central Arctic to the Fram Strait indicated enhancement of the Transpolar Drift Stream(TDS). In the regions to the north of the NEP, the long-term trend of northward sea ice speed in the Kara sector was +0.04 cm/s per year in spring. A significant statistical relationship was found between the NEP open period and the northward speed of the sea ice to the north of the NEP. The offshore advection of sea ice could account for the opening of sea routes by 33% and 15% in the Kara and Laptev sectors, respectively. The difference in sea level pressure across the TDS,i.e., the Central Arctic Index(CAI), presented more significant correlation than for the Arctic atmospheric Dipole Anomaly index with the open period of the NEP, and the CAI could explain the southward displacement of sea ice toward the Fram Strait by more than 45%. The impact from the summer positive CAI reinforces the thinning and mechanical weakening of the sea ice in the NEP region, which improves the navigability of the NEP.

关键词： sea ice Arctic Northeast Passage Transpolar Drift Stream atmospheric circulation indices

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Analysis of sea ice conditions and navigability in the Arctic Northeast Passage during the summer from 2002-2021

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Geo-Spatial Information Science 2023年第3期26卷 465-479页

作者： xiaoping pang Chenlei Zhang Qing Ji Yizhuo Chen Zeng Zhen Yamin Zhu Zhongnan Yan Chinese Antarctic Center of Surveying and Mapping Wuhan UniversityWuhanChina School of Resource and Environmental Sciences Wuhan UniversityWuhanChina

The decreasing of Arctic sea ice is projected to continue with global warming,which makes the summer navigation conditions of the Arctic *** on the multi-source remote-sensing data with inter-sensor calibration processing and the ship-based observational data from R/V Xuelong and M/V Yongsheng,the sea ice conditions of the Arctic Northeast Passage(NEP)during the 2002-2021 summer seasons were analyzed,and the navigability of the NEP between July and October from 2002 to 2021 was ***-sensor calibration could effectively reduce the deviation from different passive microwave *** ice extent and thickness in the NEP decreased annually,which resulted in the navigability of the NEP showing a potential tendency toward improvement in *** navigation period was mainly concentrated in early August to early *** middle part of the NEP was primarily affected by sea *** influence decreased over time,while the navigation period increased,especially in the Vilkitsky Strait,which is a key shipping *** analysis of sea ice conditions and navigability in the past 20 years could provide a reference for future scientific investigations and aid in merchant ship navigation in the Arctic summer.

关键词： Arctic Northeast Passage(NEP) inter-calibration sea ice thickness sea ice extent navigability

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Characterization of the unprecedented polynya events north of Greenland in 2017/2018 using remote sensing and reanalysis data

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Acta Oceanologica Sinica 2020年第9期39卷 5-17页

作者： Ruibo Lei Dawei Gui Zhouli Yuan xiaoping pang Ding Tao Mengxi Zhai MNR Key Laboratory for Polar Science Polar Research Institute of ChinaShanghai 200136China Chinese Antarctic Center of Surveying and Mapping Wuhan UniversityWuhan 430072China

Based on an ice concentration threshold of 90%,it has been identified that two polynya events occurred in the region north of Greenland during the 2017/2018 ice *** winter event lasted from February 20 to March 3,2018 and the summer event persisted from August 2 to September 5,*** minimum ice concentration derived from Advanced Microwave Scanning Radiometer 2(AMSR2)observations was 72%and 65%during the winter and summer events,*** occurrence of both events can be related to strengthened southerly winds associated with an increased east-west zonal surface level air pressure gradient across the north Greenland due to perturbation of mid-troposphere polar *** relatively warm air temperature during the 2017/2018 freezing season in comparison with previous years,together with the occurrence of the winter polynya,formed favourable pre-conditions for ice field fracturing in summer,which promoted the formation of the summer *** southerly winds and increased cover of new ice over the open water were the dominant factors for the disappearance of the winter polynya,whereas increased ice inflow from the north was the primary factor behind the closure of the summer ***-1 Synthetic Aperture Radar(SAR)images were found better suited than AMSR2 observations for quantification of a new ice product during the polynya event because the SAR images have high potential for mapping of different sea ice regimes with finely spatial *** unprecedented polynya events north of Greenland in 2017/2018 are important from the perspective of Arctic sea ice loss because they occurred in a region that could potentially be the last“Arctic sea ice refuge”in future summers.

关键词： sea ice ice concentration ice motion polynya Greenland Arctic Ocean

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Retrieval of snow depth on Antarctic sea ice from the FY-3D MWRI data

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Acta Oceanologica Sinica 2023年第12期42卷 105-117页

作者： Zhongnan Yan xiaoping pang Qing Ji Yizhuo Chen Chongxin Luo Pei Fan Zeyu Liang Chinese Antarctic Center of Surveying and Mapping Wuhan UniversityWuhan 430079China Key Laboratory of Polar Surveying and Mapping Science Ministry of Natural ResourcesWuhan 430079China

The snow depth on sea ice is an extremely critical part of the *** and understanding changes of snow depth on Antarctic sea ice is beneficial for research on sea ice and global climate *** Microwave Radiation Imager(MWRI)sensor aboard the Chinese FengYun-3D(FY-3D)satellite has great potential for obtaining information of the spatial and temporal distribution of snow depth on the sea *** comparing in-situ snow depth measurements during the 35th Chinese Antarctic Research Expedition(CHINARE-35),we took advantage of the combination of multiple gradient ratio(GR(36V,10V)and GR(36V,18V))derived from the measured brightness temperature of FY-3D MWRI to estimate the snow *** method could simultaneously introduce the advantages of high and low GR in the snow depth retrieval model and perform well in both deep and shallow snow *** on this,we constructed a novel model to retrieve the FY-3D MWRI snow depth on Antarctic sea *** new model validated by the ship-based observational snow depth data from CHINARE-35 and the snow depth measured by snow buoys from the Alfred Wegener Institute(AWI)suggest that the model proposed in this study performs better than traditional models,with root mean square deviations(RMSDs)of 8.59 cm and 7.71 cm,respectively.A comparison with the snow depth measured from Operation IceBridge(OIB)project indicates that FY-3D MWRI snow depth was more accurate than the released snow depth product from the *** Snow and Ice Data Center(NSIDC)and the National Tibetan Plateau Data Center(NTPDC).The spatial distribution of the snow depth from FY-3D MWRI agrees basically with that from ICESat-2;this demonstrates its reliability for estimating Antarctic snow depth,and thus has great potential for understanding snow depth variations on Antarctic sea ice in the context of global climate change.

关键词： snow depth Antarctic sea ice passive microwave FY-3D

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Evaluation of the relationships and uncertainties of airborne and ground-based sea ice surface temperature measurements against remotely sensed temperature records

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International Journal of Digital Earth 2022年第1期15卷 1989-2005页

作者： Pei Fan Xi Zhao Meng Qu Zhongnan Yan Ying Chen Zeyu Liang xiaoping pang Chinese Antarctic Center of Surveying and Mapping Wuhan UniversityWuhanPeople’s Republic of China School of Geospatial Engineering and Science Sun Yat-Sen University & Southern Marine Science and Engineering Guangdong LaboratoryZhuhaiPeople’s Republic of China Key Laboratory of Polar Science MNRPolar Research Institute of ChinaShanghaiPeople’s Republic of China State Key Laboratory of Information Engineering in Surveying Mappingand Remote SensingWuhan UniversityWuhanPeople’s Republic of China Hubei Luojia Laboratory WuhanPeople’s Republic of China

Sea ice surface temperature(IST)is an important indicator of environmental changes in the Arctic *** this study,the relative performance of four mainstream IST records,*** IST,infrared radiometer measured IST(IR IST),longwave radiation derived IST(LWR IST),and snow and ice mass balance array buoy derived IST(Buoy IST),were evaluated against the MODIS IST ***,standard deviation(STD),and root mean square error(RMSE)were used to evaluate the data *** revealed that airborne IST had the best accuracy,which was 0.21 K colder than MODIS IST,with STD of 1.46 K and RMSE of 1.47 ***-based ISTs were biased with each other but all warmer than the MODIS *** IR IST had the best overall accuracy(bias=0.55 K;STD=1.52 K;RMSE=1.61 K),while the LWR IST was the noisiest measurement with the largest outlier data ***,co-located IR and LWR ISTs were more consistent than any type of evaluated IST against MODIS IST(correlation coefficient=0.99).Airborne and IR ISTs are thus the premier choice for monitoring the rapidly changing Arctic sea ice,together with satellite observations.

关键词： Sea ice surface temperature airborne measurement in situ observation quality assessment the Arctic Ocean

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