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Analysis for random error and correlation of HY-2B satellite andmodel wind speed data
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Youguo Lan1, 2, Mingsen Lin2, *, Youguang Zhang2, Dian Yang2
Haiyang Xuebao | 2023, 45(10) : 183 - 194
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Haiyang Xuebao | 2023, 45(10): 183-194
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Analysis for random error and correlation of HY-2B satellite andmodel wind speed data
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Youguo Lan1, 2, Mingsen Lin2, *, Youguang Zhang2, Dian Yang2
Affiliations
  • 1College of Information Science Engineering, Ocean University of China, Qingdao 266100, China
  • 2National Satellite Ocean Application Service, Beijing 100081, China
Published: 2023-10-01 doi: 10.12284/hyxb2023131
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Random errors between systems are not correlated is a necessary assumption for Triple Collocation (TC) analysis, but this assumption does not always hold in practice. The least squares-based Extended Collocation (EC) method can estimate random error in the presence of error correlation, but it cannot accurately estimate standard deviation (SD) of the random error as error correlation is weak. This paper proposes an error estimation method for the fourth system using three error-independent systems, which can estimate the SD of the system error more accurately in case of weak correlation by considering both error correlation and representative error. The SD of the errors of the scatterometer, radiometer and altimeter are 0.600 m/s, 0.742 m/s and 0.533 m/s respectively, as assumed that random errors of three HY-2B wind speed products are independent. The SD of error of ERA5 reanalysis wind speed is also estimated to be 0.810 m/s, the correlation coefficient of the errors of wind speed between HY-2B scatterometer and the ERA5 is 0.231, the correlation coefficient of the errors of wind speed between HY-2B radiometer and the ERA5 is 0.105. This paper proposes a method to estimate random errors and their correlation with the fourth dataset using three known error independent datasets, which achieves a more precise estimation for the SD of the random error in the case of weak correlation, and it helps to use these data better in assimilation and fusion.

HY-2B satellite  /  ocean surface wind speed  /  extended triple collocation  /  random error  /  error correlation
Youguo Lan, Mingsen Lin, Youguang Zhang, Dian Yang. Analysis for random error and correlation of HY-2B satellite andmodel wind speed data[J]. Haiyang Xuebao, 2023 , 45 (10) : 183 -194 . DOI: 10.12284/hyxb2023131
Year 2023 volume 45 Issue 10
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doi: 10.12284/hyxb2023131
  • Receive Date:2023-05-06
  • Online Date:2025-12-28
  • Published:2023-10-01
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  • Received:2023-05-06
  • Revised:2023-06-19
Affiliations
    1College of Information Science Engineering, Ocean University of China, Qingdao 266100, China
    2National Satellite Ocean Application Service, Beijing 100081, China
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表12种不同金属材料的力学参数

Family
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Number of
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种数
Number of
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占总种数比例
Percentage of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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