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Interannual variability of SST,SLA and wind waves in the Hawaii area and their responses to ENSO |
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| Authors: | Yongcun Cheng Qing Xu Yuguang Liu Chongyin Li Zengzui Rong Haibo Zong Xiu Peng Xiaobin Yin |
| Institution: | 1. Institute of Meteorology, PLA University of Science and Technology, Nanjing 211101, P. R. China 2. Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Hong Kong, P R. China 3. Physical Oceanography Laboratory, Ocean University of China, Qingdao 266100, P R. China 4. Institute of Meteorology, PLA University of Science and Technology, Nanjing 211101, P. R. China;LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, P R. China 5. School of Marine Science, University of Maine, Maine 04469, USA 6. National Microwave Remote Sensing Laboratory, Center for Space Science and Applied Research,Chinese Academy of Sciences, Beijing 100080, P R. China |
| Abstract: | Time series of sea surface temperature (SST),wind speed and significant wave height (SWH) from meteorologicalbuoys of the National Data Buoy Center (NDBC) are useful for studying the interannual variability and trend of these quantities at the buoy areas.The measurements from 4 buoys (B51001,B51002,B51003 and B51004) in the Hawaii area are used to study theresponses of the quantities to EI Nino and Southern Oscillation (ENSO).Long-term averages of these data reflect precise seasonaland climatological characteristics of SST,wind speed and SWH around the Hawaii area.Buoy observations from B51001 suggest asignificant warming trend which is,however,not very clear from the other three buoys.Compared with the variability of SST andSWH,the wind speeds from the buoy observations show an increasing trend.The impacts of El Nifio on SST and wind waves arealso shown.Sea level data observed by altimeter during October 1992 to September 2006 are analyzed to investigate the variabilityof sea level in the Hawaii area.The results also show an increasing trend in sea level anomaly (SLA).The low-passed SLA in theHawaii area is consistent with the inverse phase of the low-passed Sol (Southern Oscillation Index).Compared with the low-passedSOl and PDO (Pacific Decadal Oscillation),the low-passed PNA (Pacific-North America Index) has a better correlation with thelow-passed SLA in the Hawaii area. |
| Keywords: | sea surface temperature wind waves ENSO sea level anomaly |
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