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The impact of assimilation of Himawari-8 clear-sky data from the new generation geostationary meteorological satellite on the forecast of super Typhoon Hato
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Dongmei Xu1, 3, 4, Feifei Shen1, 2, *, Hong Li2, Ruixia Liu5, Yi Wang6, Aiqing Shu1
Haiyang Xuebao | 2022, 44(3) : 40 - 52
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Haiyang Xuebao | 2022, 44(3): 40-52
• Article •
The impact of assimilation of Himawari-8 clear-sky data from the new generation geostationary meteorological satellite on the forecast of super Typhoon Hato
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Dongmei Xu1, 3, 4, Feifei Shen1, 2, *, Hong Li2, Ruixia Liu5, Yi Wang6, Aiqing Shu1
Affiliations
  • 1. Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044, China
  • 2. Shanghai Typhoon Institute, China Meteorological Administration, Shanghai 200030, China
  • 3. The Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110166, China
  • 4. Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province, Chengdu 610225, China
  • 5. Key Laboratory of Radiometric Calibration and Validation for Environmental Satellite, China Meteorological Administration, National Satellite Meteorological Center, Beijing 100081, China
  • 6. Jiangsu Meteorological Observatory, Nanjing 210008, China
Published: 2022-03-01 doi: 10.12284/hyxb2022087
Outline
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Based on the Typhoon Hato in 2017, the Himawari-8 AHI infrared radiance data are assimilated under the clear-sky condition in WRFDA system to investigate its impact on the typhoon forecast. The structure, strength, as well as the track forecasts are also studied for the Typhoon Hato. The results show that the clear-sky assimilation of Himawari-8 infrared radiance data provides obvious increment of cyclonic winds in the typhoon core and an obvious increase of typhoon in background field. Compared with the control experiment without assimilating Himawari-8 AHI infrared radiance data, the experiment that assimilates Himawari-8 AHI data strengthens the wind field of Typhoon Hato, 500 hPa pressure field analysis, and typhoon cyclonic circulation. In addition, the AHI radiance assimilation further improves the forecast of track, minimum sea level pressure, and the maximum wind speed of the Typhoon Hato. The average track error, the precipitation distribution, the root mean square error against the conventional data are also improved.

Himawari-8  /  WRF model  /  3D Var  /  Typhoon Hato
Dongmei Xu, Feifei Shen, Hong Li, Ruixia Liu, Yi Wang, Aiqing Shu. The impact of assimilation of Himawari-8 clear-sky data from the new generation geostationary meteorological satellite on the forecast of super Typhoon Hato[J]. Haiyang Xuebao, 2022 , 44 (3) : 40 -52 . DOI: 10.12284/hyxb2022087
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Year 2022 volume 44 Issue 3
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Article Info
doi: 10.12284/hyxb2022087
  • Receive Date：2020-05-13
  • Online Date：2026-02-01
  • Published：2022-03-01
Article Data
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History
  • Received：2020-05-13
  • Revised：2020-07-28
Funding
Affiliations
    1. Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044, China
    2. Shanghai Typhoon Institute, China Meteorological Administration, Shanghai 200030, China
    3. The Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110166, China
    4. Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province, Chengdu 610225, China
    5. Key Laboratory of Radiometric Calibration and Validation for Environmental Satellite, China Meteorological Administration, National Satellite Meteorological Center, Beijing 100081, China
    6. Jiangsu Meteorological Observatory, Nanjing 210008, China
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表12种不同金属材料的力学参数
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Family		 属数
Number of
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Number of
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Percentage 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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