Sea Ice Motion Vector Retrievals from AMSR2 89-GHz Data: Validation Algorithm with Simultaneous Multichannel Observations

被引:1
|
作者
Yoshizawa, Eri [1 ]
Kamoshida, Takashi [2 ]
Shimada, Koji [3 ]
机构
[1] Japan Aerosp Explorat Agcy, Earth Observat Res Ctr, Tsukuba, Ibaraki, Japan
[2] AquaSound Inc, Kobe, Hyogo, Japan
[3] Tokyo Univ Marine Sci & Technol, Fac Marine Sci, Dept Ocean Sci c, Tokyo, Japan
关键词
Ocean; Arctic; Sea ice; Algorithms; Microwave observations; Satellite observations; DRIFT; RADIOMETER; PRODUCTS;
D O I
10.1175/JTECH-D-22-0049.1
中图分类号
P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
In retrievals of sea ice motion vectors (SIMVs) based on passive microwave observations, the use of the high-resolution 89-GHz channel of the Advanced Microwave Scanning Radiometer 2 (AMSR2) has the advantage of enhancing the theoretical precision of correlation-based motion tracking. However, its higher sensitivity to atmospheric moisture than lower-frequency channels links maximum cross-correlation peaks to outlier vectors and obscures signals of valid vectors. This study develops an algorithm to select valid vectors from candidates detected by multiple cross-correlation peaks based on validations with large-scale sea ice displacements extracted from 19- and 37-GHz data after questionable vectors are prefiltered by comparing them with reanalysis surface wind and neighboring vectors. The algorithm selects a vector corresponding to large-scale motion as the optimal vector. The retrieved results from 2013 to 2020 show that by replacing outlier vectors with valid ones detected by second or third cross-correlation peaks, validation with simultaneous observations enables retrieval of more than 60% of the Arctic motion field from 89-GHz data in winter but only 10% in summer; therefore, lower-frequency data are employed for retrievals. The uncertainty assessment using in situ data from acoustic measurements from ocean moorings shows that the algorithm provides daily SIMVs with root-mean-square errors of only 1-2 cm s(-1) in idealized winter conditions with the absence of diurnal brightness temperature (Tb) changes that make tracking of the similarity of Tb fields difficult. The analysis also illustrates the applicability limit of the algorithm for summer retrievals.Significance StatementAn algorithm was developed to validate sea ice motion vectors retrieved from AMSR2 89-GHz data by those from lower-frequency data. The validation via simultaneous observations enabled that valid vectors are sorted from invalid ones resulting from weather effects.
引用
收藏
页码:3 / 13
页数:11
相关论文
共 19 条
  • [1] A New Sea Ice Concentration Retrieval Algorithm Based on Relationship Between AMSR2 89-GHz Polarization and Landsat 8 Observations
    Tanaka, Yasuhiro
    Lu, Junshen
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 61
  • [2] Analysis of AMSR2 89 GHz Measurements over the Arctic Sea Ice in January 2015
    Zabolotskikh, E. V.
    Zhivotovskaya, M. A.
    Zakhvatkina, N. Yu.
    Chapron, B.
    2017 PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM - FALL (PIERS - FALL), 2017, : 2376 - 2379
  • [3] RETRIEVAL AND VALIDATION OF SEA ICE CONCENTRATION FROM AMSR-E/AMSR2 IN POLAR REGIONS
    Shi, Qian
    Su, Jie
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 7093 - 7096
  • [4] Intercalibration of AMSR2 NASA Team 2 Algorithm Sea Ice Concentrations With AMSR-E Slow Rotation Data
    Meier, Walter N.
    Ivanoff, Alvro
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2017, 10 (09) : 3923 - 3933
  • [5] Improved Arctic sea-ice motion in summer from the brightness temperature of the AMSR2 36GHz channel
    Shi, Qian
    Yang, Qinghua
    Su, Jie
    Liu, Jiping
    Sun, Qizhen
    INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2024, 17 (01)
  • [6] Resolution enhanced sea ice concentration: a new algorithm applied to AMSR2 microwave radiometry data
    Rusin, Jozef
    Lavergne, Thomas
    Doulgeris, Anthony P.
    Scott, K. Andrea
    ANNALS OF GLACIOLOGY, 2024,
  • [7] Estimation of Sea Ice Production in the Bering Sea From AMSR-E and AMSR2 Data, With Special Emphasis on the Anadyr Polynya
    Ohshima, Kay, I
    Tamaru, Naoya
    Kashiwase, Haruhiko
    Nihashi, Sohey
    Nakata, Kazuki
    Iwamoto, Katsushi
    JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2020, 125 (07)
  • [8] VERIFICATION OF THE SEA ICE CONCENTRATION RETRIEVALS FROM THE MTVZA-GYA MEASUREMENTS USING AMSR2 SATELLITE PRODUCT.
    Zabolotskikh, Elizaveta
    Balashova, E. A.
    Azarov, S. M.
    2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 3826 - 3829
  • [9] Estimation of Atmospheric Microwave Radiation Parameters Over the Arctic Sea Ice From the AMSR2 Data
    Zabolotskikh, Elizaveta V.
    Chapron, Bertrand
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 62 : 1 - 11
  • [10] Deep learning based retrieval algorithm for Arctic sea ice concentration from AMSR2 passive microwave and MODIS optical data
    Chi, Junhwa
    Kim, Hyun-cheol
    Lee, Sungjae
    Crawford, Melba M.
    REMOTE SENSING OF ENVIRONMENT, 2019, 231