Improved Arctic sea-ice motion in summer from the brightness temperature of the AMSR2 36GHz channel

被引:0
|
作者
Shi, Qian [1 ,2 ]
Yang, Qinghua [1 ,2 ]
Su, Jie [3 ]
Liu, Jiping [1 ,2 ]
Sun, Qizhen [4 ]
机构
[1] Sun Yat sen Univ, Sch Atmospher Sci, Zhuhai, Peoples R China
[2] Guangdong Lab Zhuhai, Southern Marine Sci & Engn, Zhuhai, Peoples R China
[3] Ocean Univ China, Frontier Sci Ctr Deep Ocean Multispheres & Earth S, Phys Oceanog Lab, Qingdao, Peoples R China
[4] Natl Marine Environm Forecasting Ctr, Beijing 100081, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
sea-ice motion; summer; Arctic; passive microwave; PRODUCTS;
D O I
10.1080/17538947.2024.2311317
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Information on Arctic sea-ice motion in summer is critical for operational sea-ice monitoring and prediction and commercial navigation. Affected by the melting of the sea-ice surface, the accuracy and spatial coverage of the sea-ice velocity (SIV) retrieved by brightness temperature (TB) during the melting period are always lower than in winter. Our research indicates that the lack of ice-water discrimination in summer for the Advanced Microwave Scanning Radiometer 2 (AMSR2) 36 GHz TB is the main reason for the poor quality of its SIV results. We propose a new SIV retrieval scheme based on the polarization difference (P) of the 36 GHz TB. The 36-P SIV has a higher spatial coverage than that derived from 18-H, 36-H and 36-V SIVs and a higher maximum cross-correlation coefficient than 36 GH TB-derived SIVs. Compared with buoy and Synthetic Aperture Radar SIVs, the 36-P SIV's error is close to that of 18-H SIV and significantly lower than that of 36 TB SIV. Therefore, our results indicate that 36-P is more competitive than the 36 GHz TB in SIV retrieval in summer. Further analysis shows that our proposed scheme is compatible with the two current mainstream SIV tracking algorithms, demonstrating its great potential for future summer SIV retrieval.
引用
收藏
页数:13
相关论文
共 50 条
  • [41] A NEW WEATHER FILTER FOR REDUCING WEATHER EFFECT IN CALCULATING SEA ICE CONCENTRATION FROM AMSR2 DATA
    Cho, K.
    Naoki, K.
    GEOSPATIAL WEEK 2023, VOL. 10-1, 2023, : 793 - 798
  • [42] PMDRnet: A Progressive Multiscale Deformable Residual Network for Multi-Image Super-Resolution of AMSR2 Arctic Sea Ice Images
    Liu, Xiaomin
    Feng, Tiantian
    Shen, Xiaofan
    Li, Rongxing
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [43] Triple Collocation-Based Merging of Winter Snow Depth Retrievals on Arctic Sea Ice Derived From Three Different Algorithms Using AMSR2
    He, Lian
    Xue, Binghua
    Hui, Fengming
    Cheng, Xiao
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 61
  • [44] ATMOSPHERIC INTEGRATED WATER PARAMETERS IN THE ARCTIC: SEASONAL VARIABILITY AND INFLUENCE ON THE AMSR2 MEASURED MICROWAVE RADIATION OF THE SEA ICE-ATMOSPHERE SYSTEM
    Elizaveta, Zabolotskikh
    Chapron, Bertrand
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 3035 - 3038
  • [45] Improved algorithm for determining the freeze onset of Arctic sea ice using AMSR-E/2 data
    Qu, Zhifeng
    Su, Jie
    REMOTE SENSING OF ENVIRONMENT, 2023, 297
  • [46] Changes in Winter Temperature Extremes From Future Arctic Sea-Ice Loss and Ocean Warming
    Lo, Y. T. Eunice
    Mitchell, Dann M.
    Watson, Peter A. G.
    Screen, James A.
    GEOPHYSICAL RESEARCH LETTERS, 2023, 50 (03)
  • [47] In situ validation of sea surface temperatures from the GCOM-W1 AMSR2 RSS calibrated brightness temperatures
    Gentemann, Chelle L.
    Hilburn, Kyle A.
    JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2015, 120 (05) : 3567 - 3585
  • [48] Recent Trends of Arctic and Antarctic Summer Sea-Ice Cover Observed from Space-Borne Scatterometer
    Sandip R. Oza
    R. K. K. Singh
    N. K. Vyas
    Abhijit Sarkar
    Journal of the Indian Society of Remote Sensing, 2010, 38 : 611 - 616
  • [49] Observations of preferential summer melt of Arctic sea-ice ridge keels from repeated multibeam sonar surveys
    Salganik, Evgenii
    Lange, Benjamin A.
    Katlein, Christian
    Matero, Ilkka
    Anhaus, Philipp
    Muilwijk, Morven
    Hoyland, Knut V.
    Granskog, Mats A.
    CRYOSPHERE, 2023, 17 (11): : 4873 - 4887
  • [50] Estimation of large-scale sea-ice motion from SSM/I 85.5 GHz imagery
    Agnew, TA
    Le, H
    Hirose, T
    ANNALS OF GLACIOLOGY, VOL 25, 1997: PAPERS FROM THE INTERNATIONAL SYMPOSIUM ON REPRESENTATION OF THE CRYOSPHERE IN CLIMATE AND HYDROLOGICAL MODELS HELD AT VICTORIA, BRITISH COLUMBIA, CANADA, 12-15 AUGUST 1996, 1997, 25 : 305 - 311