Comparison on the Circulation Background of Tropical Cyclone Affecting the South China Sea Based upon Different Reanalysis Datasets

Xing Caiying; Wu Sheng'an; Zhu Jingjing

doi:10.11898/1001-7313.20230205

Vol.34, NO.2, 2023

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Article Navigation > Journal of Applied Meteorological Science > 2023 > 34(2): 179-192

Xing Caiying, Wu Sheng'an, Zhu Jingjing. Comparison on the circulation background of tropical cyclone affecting the South China Sea based upon different reanalysis datasets. J Appl Meteor Sci, 2023, 34(2): 179-192. DOI: 10.11898/1001-7313.20230205.

Citation:

Xing Caiying, Wu Sheng'an, Zhu Jingjing. Comparison on the circulation background of tropical cyclone affecting the South China Sea based upon different reanalysis datasets. J Appl Meteor Sci, 2023, 34(2): 179-192. DOI: 10.11898/1001-7313.20230205.

Citation:

Xing Caiying, Wu Sheng'an, Zhu Jingjing. Comparison on the circulation background of tropical cyclone affecting the South China Sea based upon different reanalysis datasets. J Appl Meteor Sci, 2023, 34(2): 179-192. DOI: 10.11898/1001-7313.20230205.

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Comparison on the Circulation Background of Tropical Cyclone Affecting the South China Sea Based upon Different Reanalysis Datasets

DOI: 10.11898/1001-7313.20230205

Xing Caiying^{1, 2
,
,},
Wu Sheng'an^{1, 2},
Zhu Jingjing^{1, 2}

1.
Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan Province, Haikou 570203
2.
Hainan Provincial Climate Center, Haikou 570203

Received Date: 2022-08-05
Rev Recd Date: 2022-12-20
Publish Date: 2023-03-31

Abstract

Abstract

China Meteorological Administration launched China's Global atmospheric reanalysis program in November 2013, and the global atmospheric reanalysis product (CMA-RA) has been successfully developed. The performance of CMA-RA on describing the circulation background of tropical cyclone activity affecting the South China Sea is analyzed and compared with ERA5 and NCEP-Ⅰ, exploring the applicability of CMA-RA in tropical cyclone activity analysis, based on the tropical cyclone best track dataset compiled by Shanghai Typhoon Research Institute of China Meteorological Administration, CMA-RA, the fifth generation ECMWF atmospheric reanalysis dataset (ERA5) and the first generation atmospheric monthly reanalysis dataset of National Center for Environmental Prediction(NCEP) and National Center for Atmospheric Research(NCAR) from 1981 to 2020. The results are shown as follows. Three reanalysis datasets can basically depict the anomaly circulation characteristics of the key influence regions closely related to tropical cyclone activity affecting the South China Sea from July to October, including the Southern Oscillation, low-level zonal wind field in the Philippines to the eastern sea of the South China Sea, reverse distribution pattern of low-level zonal wind filed in the tropics, low-level vorticity from the Philippines to the central and eastern part of the South China Sea, environmental vertical wind shear in the tropical western Pacific, and mid-level humidity field from the South China Sea to the eastern sea of the Philippines. All datasets are highly similar in describing the Southern Oscillation, low-level zonal wind field and mid-level humidity field of key regions. CMA-RA and ERA5 have high agreement on the Southern Oscillation, low-level zonal wind characteristics and their relationship with tropical cyclone activity, which are closer than NCEP-Ⅰ. However, their characterization of low-level meridional wind field, relative vorticity and vertical wind shear are relatively different. Some circulations in the tropical Indian Ocean are relatively different with each other too. All datasets have similar ability to depict the key regions circulations in the extreme years of tropical cyclone activity, but they are different in area and intensity. They are highly consistent in the sea level pressure and low-level zonal wind characteristics, with CMA-RA and ERA5 being the most similar. The mid-level humidity of CMA-RA is consistent with ERA5, and they are both lower than NCEP-Ⅰ. But the characteristics of low-level relative vorticity and vertical wind shear are significantly different. CMA-RA has comparable performance with ERA5 and NCEP-Ⅰ in describing the circulation background of tropical cyclone activity affecting the South China Sea, and it's highly consistent with ERA5 on the whole. Therefore, it can provide an alternative atmospheric reanalysis dataset for the research of tropical cyclone activity in the South China Sea.
- reanalysis dataset;
- CMA-RA;
- tropical cyclone activity;
- circulation background;
- comparative analysis

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References(42)

Figures and Tables

Fig. 1 Impact region of tropical cyclone in the South China Sea

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图 2 不同资料7—10月海平面气压与南海热带气旋频数相关场对比

(填色表示达到0.05显著性水平，下同)

Fig. 2 Comparison of different datasets in correlations between sea level pressure and tropical cyclone frequency of the South China Sea from Jul to Oct

(the shaded denotes passing the test of 0.05 level, the same hereinafter)

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Fig. 3 Comparison of different datasets in correlations of 850 hPa zonal wind, 850 hPa meridional wind to tropical cyclone frequency of the South China Sea from Jul to Oct

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Fig. 4 Comparison of different datasets in correlations of 850 hPa relative vorticity, vertical wind shear to tropical cyclone frequency of the South China Sea from Jul to Oct

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Fig. 5 Comparison of different datasets in correlations between 600 hPa relative humidity and tropical cyclone frequency of the South China Sea from Jul to Oct

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Fig. 6 Sea level pressure difference between different datasets in extreme tropical cyclone frequency years of the South China Sea from Jul to Oct

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图 7 同图 6，但为850 hPa风场

(箭头为风矢量，填色为风速差值)

Fig. 7 The same as in Fig 6, but for 850 hPa wind

(the arrow denotes wind vector, the shaded denotes wind speed difference)

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Fig. 8 850 hPa relative vorticity difference and vertical wind shear difference between different datasets from Jul to Oct in 2004

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Fig. 9 The same as in Fig. 6, but for 600 hPa relative humidity

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Table 1 Comparison of different datasets in variance contributions of the first two EOF modes of 850 hPa zonal wind anomaly in tropical region from Jul to Oct (unit:%)

模态	CMA-RA	ERA5	NCEP-Ⅰ
EOF1	60.9	61.8	52.8
EOF2	10.2	10.3	13.3

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