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Analysis and correction of GIM error about Jason-2 altimeter
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Xiafeng Huang1, Hongli Miao1, *, Xiangying Miao1, Wenwen Xue1
Haiyang Xuebao | 2019, 41(7) : 143 - 148
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Haiyang Xuebao | 2019, 41(7): 143-148
• Marine Information Science •
Analysis and correction of GIM error about Jason-2 altimeter
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Xiafeng Huang1, Hongli Miao1, *, Xiangying Miao1, Wenwen Xue1
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  • 1 College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China
Published: 2019-07-25 doi: 10.3969/j.issn.0253-4193.2019.07.013
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Based on the ionospheric correction data of Global Ionospheric Map (GIM) and dual-frequency, extracting the Pacific Ocean dataset from the Jason-2 Altimeter’s Geophysical Data Set (GDR) including 38-period in 2015. The dataset is divided into small twelve cell according to the features of ionosphere over seasons and in latitude. The result shows that there is a significant difference between the GIM and the dual-frequency correction value, and the GIM correction value is generally higher than the dual-frequency correction value, indicating that GIM overestimates the ionosphere path delay, also, the difference between the GIM and the dual-frequency is related to the season and latitude. Applying the modified equation to the 2016 Jason-2 annual data, the corrected GIM value is very close to the dual-frequency correction value, and the applicability of the modified equation remains the same over time. In the case where the single-frequency altimeter cannot use the ionospheric dual-frequency correction algorithm, the GIM value of the altimeter of the same height can be corrected by using the correction equations of different quarters and different latitude regions to achieve the accuracy level of the dual-frequency correction value.

radar altimeter  /  ionospheric path delay  /  dual-frequency correction algorithm  /  global ionospheric map
Xiafeng Huang, Hongli Miao, Xiangying Miao, Wenwen Xue. Analysis and correction of GIM error about Jason-2 altimeter[J]. Haiyang Xuebao, 2019 , 41 (7) : 143 -148 . DOI: 10.3969/j.issn.0253-4193.2019.07.013
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doi: 10.3969/j.issn.0253-4193.2019.07.013
  • Receive Date：2018-05-30
  • Online Date：2026-04-02
  • Published：2019-07-25
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  • Received：2018-05-30
  • Revised：2018-11-02
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    1 College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
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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