Analysis on monthly-averaged distribution of sea surface wind and wave over the seas southeast of Asia using ERS-2 scatterometer data

Zhao Xixi; Hou Yijun; Li Mingkui; Qi Peng

doi:10.1007/BF02842782

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Analysis on monthly-averaged distribution of sea surface wind and wave over the seas southeast of Asia using ERS-2 scatterometer data

OriginalPaper | Updated：2023-05-16

- Analysis on monthly-averaged distribution of sea surface wind and wave over the seas southeast of Asia using ERS-2 scatterometer data
- Analysis on monthly-averaged distribution of sea surface wind and wave over the seas southeast of Asia using ERS-2 scatterometer data
- 海洋湖沼学报（英文） 2006年24卷第1期页码：97-102
- Affiliations：
  
  1. Institute of Oceanology Chinese Academy of Sciences
  2. Graduate School of the Chinese Academy of Sciences
- Author bio：
- Funds：
  
  Supported by the High-Tech Research and Development Program of China (863 Program, No. 2001AA633070;2003AA604040), and the National Natural Science Foundation of China (No. 40476015).
- DOI：10.1007/BF02842782
  中图分类号：
- 纸质出版：2006
- Accepted：
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Analysis on monthly-averaged distribution of sea surface wind and wave over the seas southeast of Asia using ERS-2 scatterometer data[J]. 海洋湖沼学报（英文）, 2006,24(1):97-102.

Xixi, Z., Yijun, H., Mingkui, L. et al. Analysis on monthly-averaged distribution of sea surface wind and wave over the seas southeast of Asia using ERS-2 scatterometer data., Chin. J. Ocean. Limnol. 24, 97–102 (2006). https://doi.org/10.1007/BF02842782
Analysis on monthly-averaged distribution of sea surface wind and wave over the seas southeast of Asia using ERS-2 scatterometer data[J]. 海洋湖沼学报（英文）, 2006,24(1):97-102. DOI： 10.1007/BF02842782.

Xixi, Z., Yijun, H., Mingkui, L. et al. Analysis on monthly-averaged distribution of sea surface wind and wave over the seas southeast of Asia using ERS-2 scatterometer data., Chin. J. Ocean. Limnol. 24, 97–102 (2006). https://doi.org/10.1007/BF02842782 DOI：

摘要

Abstract

The wind system over the seas southeast of Asia (SSEA) plays an important role in China's climate variation. In this paper

ERS scatterometer winds covering the period from January 2000 to December 2000 and the area of 2–411N

105–1301E were analyzed with a distance-weighting interpolation method and the monthly mean distribution of the sea surface wind speed were given. The seasonal characteristics of winds in the SSEA were analyzed. Based on WAVEWATCH III model

distribution of significant wave height was calculated.

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references

Chen, G., M. X. He, A. Masatoshi, S. Yasuhiro and S. W. Jun, 1994. Mean sea level and sea surface variability of northwest Pacific Ocean and eastern China Sea from GEOSAT altimetry.Chin. J. Oceanol. Limnol. 12(2): 154–164.

Chen, G., B. Chapron, R. Ezraty and D. Vandemark, 2002. A global view of swell and wind sea climate in the ocean by satellite altimeter and scatterometer.J. Atmos. Oceanic Technol. 19: 1 849–1 859.

Domros, M. and G. Peng, 1988. The Climate of China. Springer-Verly, NewYork.

Pan, J. Y., X. H. Yan, Q. A. Zheng, W. T. Liu and V. V. Klemas, 2002. Interpretation of scatterometer ocean surface wind vector EOFs over the northwestern Pacific.Remote Sensing of Environment 84: 53–68.

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Qi, Y. Q. and P. Shi, 1999. Analysis on monthly average distribution characteristics of sea surface wind and wave in South China Sea using altimeteric data.J. Tropical Oceanography 18(2): 90–96. (in Chinese)

Wang, C., 1999. ERS wind scatterometer data processing and observation of ocean wind field abnormal of El Niño.Journal of Remote Sensing 3(4): 300–304. (in Chinese)

Yin, B. S., Y. J. He, Y. J. Hou, M. H. Cheng, J. Z. Su and X. Lin, 2002. A new method of return period wave height calculation.Oceanol. Limnol. Sinica 33(1): 30–35. (in Chinese)

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