The seasonal variations in the significant wave height and sea surface wind speed of the China's seas

ZHENG Chongwei; PAN Jing; TAN Yanke; GAO Zhansheng; RUI Zhenfeng; CHEN Chaohui

doi:10.1007/s13131-015-0738-0

Volume 34 Issue 9

Turn off MathJax

Article Contents

Abstract

References

Article Navigation > Acta Oceanologica Sinica > 2015 > 34(9): 58-64

ZHENG Chongwei, PAN Jing, TAN Yanke, GAO Zhansheng, RUI Zhenfeng, CHEN Chaohui. The seasonal variations in the significant wave height and sea surface wind speed of the China's seas[J]. Acta Oceanologica Sinica, 2015, 34(9): 58-64. doi: 10.1007/s13131-015-0738-0

Citation:

ZHENG Chongwei, PAN Jing, TAN Yanke, GAO Zhansheng, RUI Zhenfeng, CHEN Chaohui. The seasonal variations in the significant wave height and sea surface wind speed of the China's seas[J]. Acta Oceanologica Sinica, 2015, 34(9): 58-64. doi: 10.1007/s13131-015-0738-0

Citation:

ZHENG Chongwei, PAN Jing, TAN Yanke, GAO Zhansheng, RUI Zhenfeng, CHEN Chaohui. The seasonal variations in the significant wave height and sea surface wind speed of the China's seas[J]. Acta Oceanologica Sinica, 2015, 34(9): 58-64. doi: 10.1007/s13131-015-0738-0

PDF( 11887 KB)

The seasonal variations in the significant wave height and sea surface wind speed of the China's seas

doi: 10.1007/s13131-015-0738-0

1.
College of Meteorology and Oceanography, People's Liberation Army University of Science and Technology, Nanjing 211101, China;National Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;Dalian Naval Academy, Dalian 116018, China
2.
National Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
3.
College of Meteorology and Oceanography, People's Liberation Army University of Science and Technology, Nanjing 211101, China
4.
Dalian Naval Academy, Dalian 116018, China

Received Date: 2014-10-01
Rev Recd Date: 2015-03-04

Abstract

Abstract

Long-term variations in a sea surface wind speed (WS) and a significant wave height (SWH) are associated with the global climate change, the prevention and mitigation of natural disasters, and an ocean resource exploitation, and other activities. The seasonal characteristics of the long-term trends in China's seas WS and SWH are determined based on 24 a (1988-2011) cross-calibrated, multi-platform (CCMP) wind data and 24 a hindcast wave data obtained with the WAVEWATCH-Ⅲ (WW3) wave model forced by CCMP wind data. The results show the following. (1) For the past 24 a, the China's WS and SWH exhibit a significant increasing trend as a whole, of 3.38 cm/(s·a) in the WS, 1.3 cm/a in the SWH. (2) As a whole, the increasing trend of the China's seas WS and SWH is strongest in March-April-May (MAM) and December-January-February (DJF), followed by June-July-August (JJA), and smallest in September-October-November (SON). (3) The areal extent of significant increases in the WS was largest in MAM, while the area decreased in JJA and DJF; the smallest area was apparent in SON. In contrast to the WS, almost all of China's seas exhibited a significant increase in SWH in MAM and DJF; the range was slightly smaller in JJA and SON. The WS and SWH in the Bohai Sea, the Yellow Sea, East China Sea, the Tsushima Strait, the Taiwan Strait, the northern South China Sea, the Beibu Gulf, and the Gulf of Thailand exhibited a significant increase in all seasons. (4) The variations in China's seas SWH and WS depended on the season. The areas with a strong increase usually appeared in DJF.
- sea surface wind speed,
- significant wave height,
- long-term variation,
- seasonal difference

FullText(HTML)

References(22)

References

Atlas R, Hoffman R N, Ardizzone J, et al. 2011. A cross-calibrated, multiplatform ocean surface wind velocity product for meteorological and oceanographic applications. American Meteorological Society, 92: 157-174, doi: 10.1175/2010BAMS2946.1

Chen W, Hans F G, Huang R H. 2000. The interannual variability of East Asian winter monsoon and its relation to the summer monsoon. Advances in Atmospheric Sciences, 17: 46-60

Chu P C, Qi Y Q, Chen Y C, et al. 2004. South China Sea wind-wave characteristics: Part I. Validation of WAVEWATCH-Ⅲ using TOPEX/Poseidon data. Journal of Atmospheric and Oceanic Technology, 21: 1718-1733

Earl N, Dorling S, Hewston R, et al. 2013. 1980-2010 variability in U.K. surface wind climate. Journal of Climate, 26: 1172-1191

Gower J F R. 2002. Temperature, wind and wave climatologies, and trends from marine meteorological buoys in the northeast Pacific. Journal of Climate, 15: 3709-3718

Guillaume D, Bertin X, Taborda R. 2010. Wave climate variability in the North-East Atlantic Ocean over the last six decades. Ocean Modelling, 31(3-4): 120-131

Gulev S K, Grigotieva V. 2006. Variability of the winter wind waves and swell in the North Atlantic and North Pacific as revealed by the voluntary observing ship data. Journal of Climate, 19: 5667-5685

Han S Z, Zhang H R, Zhang Y X. 2014. A global study of temporal and spatial variation of SWH and wind speed and their correlation. Acta Oceanologica Sinica, 33(11): 48-54

Huang G, Qu X, Hu K M. 2011. The impact of the tropical Indian Ocean on South Asian High in boreal summer. Advances in Atmospheric Sciences, 28(2): 421-432

Li C Y. 1990. Interaction between anomalous winter monsoon in East Asia and El Nino events. Advances in Atmospheric Sciences, 7(1): 36-46

Mirzaei A, Tangang F, Juneng L, et al. 2013. Wave climate simulation for southern region of the South China Sea. Ocean Dynamics, 63(8): 961-977

Ren L, Yang J S, Zheng G, et al. 2015. Wave effects on the retrieved wind field from the advanced scatterometer (ASCAT). Acta Oceanologica Sinica, 34(1): 79-84

Soomere T, Raamet A. 2011. Long-term spatial variations in the Baltic Sea wave fields. Ocean Science, 7: 141-150

Suarez J M, Cicin-Sain B, Wowk K, et al. 2013. Ensuring survival: oceans, climate and security. Ocean and Coastal Management, 90: 27-37

Young I R, Zieger S, Babanin A V. 2011. Global trends in wind speed and wave height. Science, 332 (6028): 451-455

Zheng Y, Jiang X W, Song Q T, et al. 2014. Coastal wind field retrieval from polarimetric synthetic aperture radar. Acta Oceanologica Sinica, 33(5): 54-61

Zheng C W, Li C Y. 2015. Variation of the wave energy and significant wave height in the China Sea and adjacent waters. Renewable and Sustainable Energy Reviews, 43: 381-387

Zheng C W, Pan J. 2014. Assessment of the global ocean wind energy resource. Renewable and Sustainable Energy Reviews, 33: 382-391

Zheng C W, Pan J, Huang G. 2014. Forecasting of the China Sea ditching probability using WW3 wave model. Journal of Beijing University of Aeronautics and Astronautics, 40(3): 341-320

Zheng C W, Pan J, Li J X. 2013. Assessing the China Sea wind energy and wave energy resources from 1988 to 2009. Ocean Engineering, 65: 39-48

Zheng C W, Shao L T, Shi W L, et al. 2014. An assessment of global ocean wave energy resources over the last 45 a. Acta Oceanologica Sinica, 33(1): 92-101

Zheng C W, Zhou L, Huang C F. 2013. The long-term trend of a sea surface wind speed and a (wind wave, swell, mixed wave) wave height in global ocean during the last 44 a. Acta Oceanologica Sinica, 32(10): 1-4

Relative Articles

Supplements(0)

Cited By

Proportional views