KONG Yawen, ZHANG Xiuzhi, SHENG Lifang, CHEN Baozhang. Validation and application of multi-source altimeter wave data in China's offshore areas[J]. Acta Oceanologica Sinica, 2016, 35(11): 86-96. doi: 10.1007/s13131-016-0951-5
Citation: KONG Yawen, ZHANG Xiuzhi, SHENG Lifang, CHEN Baozhang. Validation and application of multi-source altimeter wave data in China's offshore areas[J]. Acta Oceanologica Sinica, 2016, 35(11): 86-96. doi: 10.1007/s13131-016-0951-5

Validation and application of multi-source altimeter wave data in China's offshore areas

doi: 10.1007/s13131-016-0951-5
  • Received Date: 2015-10-10
  • Rev Recd Date: 2016-07-05
  • Studies of offshore wave climate based on satellite altimeter significant wave height (SWH) have widespread application value. This study used a calibrated multi-altimeter SWH dataset to investigate the wave climate characteristics in the offshore areas of China. First, the SWH measurements from 28 buoys located in China's coastal seas were compared with an Ifremer calibrated altimeter SWH dataset. Although the altimeter dataset tended to slightly overestimate SWH, it was in good agreement with the in situ data in general. The correlation coefficient was 0.97 and the root-mean-square (RMS) of differences was 0.30 m. The validation results showed a slight difference in different areas. The correlation coefficient was the maximum (0.97) and the RMS difference was the minimum (0.28 m) in the area from the East China Sea to the north of the South China Sea. The correlation coefficient of approximately 0.95 was relatively low in the seas off the Changjiang (Yangtze River) Estuary. The RMS difference was the maximum (0.32 m) in the seas off the Changjiang Estuary and was 0.30 m in the Bohai Sea and the Yellow Sea. Based on the above evidence, it is confirmed that the multialtimeter wave data are reliable in China's offshore areas. Then, the characteristics of the wave field, including the frequency of huge waves and the multi-year return SWH in China's offshore seas were analyzed using the 23-year altimeter wave dataset. The 23-year mean SWH generally ranged from 0.6-2.2 m. The greatest SWH appeared in the southeast of the China East Sea, the Taiwan Strait and the northeast of the South China Sea. Obvious seasonal variation of SWH was found in most areas; SWH was greater in winter and autumn than in summer and spring. Extreme waves greater than 4 m in height mainly occurred in the following areas:the southeast of the East China Sea, the south of the Ryukyu Islands, the east of Taiwan-Luzon Island, and the Dongsha Islands extending to the Zhongsha Islands, and the frequency of extreme waves was 3%-6%. Extreme waves occurred most frequently in autumn and rarely in spring. The 100-year return wave height was greatest from the northwest Pacific seas extending to southeast of the Ryukyu Islands (9-12 m), and the northeast of the South China Sea and the East China Sea had the second largest wave heights (7-11 m). For inshore areas, the 100-year return wave height was the greatest in the waters off the east coast of Guangdong Province and the south coast of Zhejiang Province (7-8 m), whereas it was at a minimum in the area from the Changjiang Estuary to the Bohai Sea (4-6 m). An investigation of sampling effects indicates that when using the 1°×1°grid dataset, although the combination of nine altimeters obviously enhanced the time and space coverage of sampling, the accuracy of statistical results, particularly extreme values obtained from the dataset, still suffered from undersampling problems because the time sampling percent in each 1°×1°grid cell was always less than 33%.
  • loading
  • Aarnes O J, Abdalla S, Bidlot J R, et al. 2015. Marine wind and wave height trends at different ERA-Interim forecast ranges. Journal of Climate, 28(2):819-837
    Abdalla S, Janssen P A E M, Bidlot J R. 2011. Altimeter near real time wind and wave products:Random error estimation. Marine Geodesy, 34(3-4):393-406
    Caires S, Sterl A. 2003. Validation of ocean wind and wave data using triple collocation. Journal of Geophysical Research, 108(C3):3098
    Caires S, Sterl A. 2005. 100-year return value estimates for ocean wind speed and significant wave height from the ERA-40 data. Journal of Climate, 18(7):1032-1048
    Chen G, Bi S W, Ezraty R. 2004. Global structure of extreme wind and wave climate derived from TOPEX altimeter data. International Journal of Remote Sensing, 25(5):1005-1018
    China Meteorological Administration. 1995. Marine Climatological Atlas for Continental and Adjacent Sea Areas of China (in Chinese). Beijing:China Meteorological Press
    Dobson E, Monaldo F, Goldhirsh J, et al. 1987. Validation of Geosat altimeter-derived wind speeds and significant wave heights using buoy data. Journal of Geophysical Research:Oceans(1978-2012), 92(C10):10719-10731
    Durrant T H, Greenslade D J M, Simmonds I. 2009. Validation of Jason-1 and Envisat remotely sensed wave heights. Journal of Atmospheric and Oceanic Technology, 26(1):123-134
    ESA. 2012. Wave Data Handbook. Pairs:IFREMER, http://globwave.ifremer.fr/download/[2013-05-25/2014-12-01]
    ESA. 2013. Product User Guide Phase 3. Pairs:IFREMER, http://globwave.ifremer.fr/download/[2013-02-11/2014-12-01]
    Han Shuzong, Zhu Dayong, Guo Peifang. 2003. A study of distribution and variation rules of SWH in the Pacific Ocean by using the satellite altimetry data. Journal of Ocean University of Qingdao(in Chinese), 33(6):825-832.
    Izaguirre C, Méndez F J, Menéndez M, et al. 2011. Global extreme wave height variability based on satellite data. Geophysical Research Letters, 38(10):L10607
    Korobkin M, D'Sa E. 2008. Significant wave height in the Gulf of Mexico:validation of jason-1 measurement against buoy data. In:12th Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface(IOASAOLS). New Orleans, USA:American Meteorological Society
    Lefevre J M, Cotton P D. 2001. Ocean surface waves. In:Fu L L, Cazenave A, eds. Satellite Altimetry and Earth Sciences. San Diego:Academic Press, 305-328
    Li Xunqiang, Zheng Chongwei, Su Qin, et al. 2012. Wave climate and wind climate analysis in the China Sea from 1988 to 2009. Periodical of Ocean University of China (in Chinese), 42(S1):1-9
    Li Jing, Zhou Lin, Ma Weimin, et al. 2013. Relationship between atmospheric oscillation and wave climate in the western Pacific. Haiyang Xuebao (in Chinese), 35(5):59-66
    Madansky, A. 1959. The fitting of straight lines when both variables are subject to error. Journal of the American Statistical Association, 54(285):173-205
    Queffeulou P. 2004. Long-term validation of wave height measurements from altimeters. Marine Geodesy, 27(3-4):495-510
    Queffeulou P, Croizé-Fillon D. 2007. Investigation of large scale and regional features of wave height from altimeter measurements. In:Proceedings of the Envisat Symposium. Montreux, Switzerland:ESA
    Queffeulou P, Croizé-Fillon D. 2012. Altimeter SWH calibration. Paris:Laboratoire d'Ocèanographie Spatiale, IFREMER, ftp://ftp.ifremer.fr/ifremer/cersat/products/swath/altimeters/waves/documentation/previous_versions/altimeter_wave_merge__9.0__annexe_I.pdf[2013-05-28/2015-05-12]
    Queffeulou P, Croizé-Fillon D. 2014. Global altimeter SWH data set.Paris:Laboratoire d'Ocèanographie Spatiale, IFREMER, ftp://ftp.ifremer.fr/ifremer/cersat/products/swath/altimeters/waves/documentation/previous_versions[2014-07-03/2015-01-02]
    Ray R D, Beckley B D. 2012. Calibration of ocean wave measurements by the TOPEX, Jason-1, and Jason-2 satellites. Marine Geodesy, 35(S1):238-257
    Shi Yongfang, Yang Yongzeng, Yin Xunqiang. 2012. Study of global wave climate based on observed data. Coastal Engineering (in Chinese), 31(4):1-8
    Wu Shuangquan. 2010. The distribution character of the wave height in the East China Sea (in Chinese)[dissertation]. Qingdao:Ocean University of China
    Ye Xiaomin, Lin Mingsen, Xu Ying. 2015. Validation of Chinese HY-2 satellite radar altimeter significant wave height. Acta Oceanologica Sinica, 34(5):60-67
    Young I R, Zieger S, Babanin A V. 2011. Global trends in wind speed and wave height. Science, 332(6028):451-455
    Zhang Rongyan, Zhang Xiuzhi, Cai Lianwa. 2010. Application of Poisson-Gumbel Distribution to wind speed calculation for the southeast coastland of China. Journal of Applied Meteorological Science (in Chinese), 21(2):237-242
    Zhang Hexia, Liu Yongxue, Li Manchun, et al. 2013. Characteristic analysis on sea surface wind and wave fields in South China Sea based on Jason-1 data. Geography and Geo-Information Science(in Chinese), 29(5):53-57, 63
    Zheng Congwei. 2013. Global oceanic wave energy resources reassessment over the past 45 years based on ERA-40 wave reanalysis. Journal of Subtropical Resources and Environment (in Chinese), 8(1):18-24
    Zhou Liangming, Li Zhanbin, Mou Lin, et al. 2014. Numerical simulation of wave field in the South China Sea using WAVEWATCH. Chinese Journal of Oceanology and Limnology, 32(3):656-664
    Zhu Geli. 2014. Study of spatial and temporal characteristics variation of South China Sea Wave (in Chinese)[dissertation]. Beijing:North China Electric Power University
    Zieger S, Vinoth J, Young I R. 2009. Joint calibration of multiplatform altimeter measurements of wind speed and wave height over the past 20 years. Journal of Atmospheric and Oceanic Technology, 26(12):2549-2564
  • 加载中


    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (1120) PDF downloads(550) Cited by()
    Proportional views


    DownLoad:  Full-Size Img  PowerPoint