Interannual Variability of SST,SLA and Wind Waves in the Hawaii Area and Their Responses to ENSO
Interannual Variability of SST,SLA and Wind Waves in the Hawaii Area and Their Responses to ENSO作者机构:Institute of Meteorolog.v PLA University of Science and Technology Nanjing 211101 P. R. China Institute of Space and Earth Information Science The Chinese University of Hong Kong Hong Kong P. R. China Physical Oceanography Laboratonry Ocean University of China Qingdao 266100 P R. China LASG Institute of Atmospheric Physics Chinese Academy of Seiences Beijig 100029 P R. China School of Marine Science UniversiO of Maine Maine 04469 USA National Microwave Remote Sensing Laboratory Center for Space Science and Applied Research Chinese Academy of Sciences Beijing 100080 P R. China
出 版 物:《Journal of Ocean University of China》 (中国海洋大学学报(英文版))
年 卷 期:2008年第7卷第4期
页 面:379-384页
学科分类:0710[理学-生物学] 0908[农学-水产] 07[理学] 0707[理学-海洋科学] 070601[理学-气象学] 0815[工学-水利工程] 0706[理学-大气科学] 0824[工学-船舶与海洋工程]
基 金:the National Basic Research Program of China under Grant No 973-2007CB411807 National High Technology Development Project under Grant No 863-2006AA09Z140 China Postdoctoral Science Foundation funded project under Grant No 2008041345 the Scientific Research Starting Foundation for Doctoral of Institute of Meteorology,PLA University of Science and Technology
主 题:sea surface temperature wind waves ENSO: sea level anomaly
摘 要:Time series of sea surface temperature (SST), wind speed and significant wave height (SWH) from meteorological buoys 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 the responses of the quantities to El Nino and Southern Oscillation (ENSO). Long-term averages of these data reflect precise seasonal and climatological characteristics of SST, wind speed and SWH around the Hawaii area. Buoy observations from B51001 suggest a significant warming trend which is, however, not very clear from the other three buoys. Compared with the variability of SST and SWH, the wind speeds from the buoy observations show an increasing trend. The impacts of EI Nifio on SST and wind waves are also shown. Sea level data observed by altimeter during October 1992 to September 2006 are analyzed to investigate the variability of sea level in the Hawaii area. The results also show an increasing trend in sea level anomaly (SLA). The low-passed SLA in the Hawaii area is consistent with the inverse phase of the low-passed SOI (Southern Oscillation Index). Compared with the low-passed SOl and PDO (Pacific Decadal Oscillation), the low-passed PNA (Pacific-North America Index) has a better correlation with the low-passed SEA in the Hawaii area.