热带海洋学报
熱帶海洋學報
열대해양학보
JOURNAL OF TROPICAL OCEANOGRAPHY
2013年
3期
9-15
,共7页
王洁%段自强%姚小红%高会旺
王潔%段自彊%姚小紅%高會旺
왕길%단자강%요소홍%고회왕
船载观测%风速脉动%涡动相关技术%西北太平洋%湍流特征
船載觀測%風速脈動%渦動相關技術%西北太平洋%湍流特徵
선재관측%풍속맥동%와동상관기술%서북태평양%단류특정
ship-based observation%wind fluctuation%eddy covariance technique%Northwest Pacific%turbulent characteristics
对西北太平洋海域2005年9-11月“东方红Ⅱ”船载风速脉动资料的功率谱分析发现,在频率区间0.06-0.26Hz 普遍存在一个由于船体晃动而产生的异常峰值,本文提出了一种消除船体晃动干扰的滤波校正改进方法。校正方法数据处理步骤如下:在双对数坐标系下,利用受干扰频率区间前后的功率谱密度值,线性拟合得到该区间内的功率谱趋势线;然后利用原始功率谱和趋势线反演得到受干扰频率区间的校正功率谱;最后通过傅里叶逆变换得到校正后的海面风速脉动资料序列。通过对校正后风速脉动资料湍流特征量的分析表明了该方法用于校正船体晃动对船载海面风速脉动观测影响的可行性。观测期间西北太平洋海区大气多处于热力作用较强的弱不稳定及不稳定条件,无量纲风速标准差与稳定度参数z/L之间能很好地符合1/3次方定律;各方向湍流强度分别为0.091、0.076、0.043;拖曳系数约为(1.30±0.26)×10?3,与他人在该海域的观测结果类似。
對西北太平洋海域2005年9-11月“東方紅Ⅱ”船載風速脈動資料的功率譜分析髮現,在頻率區間0.06-0.26Hz 普遍存在一箇由于船體晃動而產生的異常峰值,本文提齣瞭一種消除船體晃動榦擾的濾波校正改進方法。校正方法數據處理步驟如下:在雙對數坐標繫下,利用受榦擾頻率區間前後的功率譜密度值,線性擬閤得到該區間內的功率譜趨勢線;然後利用原始功率譜和趨勢線反縯得到受榦擾頻率區間的校正功率譜;最後通過傅裏葉逆變換得到校正後的海麵風速脈動資料序列。通過對校正後風速脈動資料湍流特徵量的分析錶明瞭該方法用于校正船體晃動對船載海麵風速脈動觀測影響的可行性。觀測期間西北太平洋海區大氣多處于熱力作用較彊的弱不穩定及不穩定條件,無量綱風速標準差與穩定度參數z/L之間能很好地符閤1/3次方定律;各方嚮湍流彊度分彆為0.091、0.076、0.043;拖抴繫數約為(1.30±0.26)×10?3,與他人在該海域的觀測結果類似。
대서북태평양해역2005년9-11월“동방홍Ⅱ”선재풍속맥동자료적공솔보분석발현,재빈솔구간0.06-0.26Hz 보편존재일개유우선체황동이산생적이상봉치,본문제출료일충소제선체황동간우적려파교정개진방법。교정방법수거처리보취여하:재쌍대수좌표계하,이용수간우빈솔구간전후적공솔보밀도치,선성의합득도해구간내적공솔보추세선;연후이용원시공솔보화추세선반연득도수간우빈솔구간적교정공솔보;최후통과부리협역변환득도교정후적해면풍속맥동자료서렬。통과대교정후풍속맥동자료단류특정량적분석표명료해방법용우교정선체황동대선재해면풍속맥동관측영향적가행성。관측기간서북태평양해구대기다처우열력작용교강적약불은정급불은정조건,무량강풍속표준차여은정도삼수z/L지간능흔호지부합1/3차방정률;각방향단류강도분별위0.091、0.076、0.043;타예계수약위(1.30±0.26)×10?3,여타인재해해역적관측결과유사。
Ship-based turbulent wind velocities were measured in the Northwest Pacific from September to November in 2005. The analysis results of turbulent wind velocity power spectrum showed an unexpected peak in the frequency range of 0.06?0.26 Hz, which was believed to be caused by platform rocking. This study proposed a new approach, i.e., an improved filtering correction, to minimize the interference from platform rocking on the signal of turbulent wind velocity. In a dual-logarithm coordinates system, the power spectral densities in the whole range except that from 0.06 to 0.26 Hz were used to linearly fit the trend of the power spectra between 0.06 and 0.26 Hz. Combined the original power spectra and the trend inversion, the corrected power spectra were obtained. Through the inverse Fourier transform, the new turbulent wind velocity data was obtained. Using the corrected turbulent wind velocity data, we estimated a few turbulent parameters in the Northwest Pacific during the observational period. These results showed that the atmospheric thermal action was strong during the observational period, leading to weakly unstable and unstable stratifications. When the standard deviation of dimensionless velocity was plotted against the stability parameter, their relationship accorded with the 1/3 power law. Intensities of turbulence in u, v, and w direction were estimated to be 0.091, 0.076, and 0.043, respectively. The drag coefficient was estimated to be (1.30±0.26)×10?3, which is similar to the values reported in this region by other investigators.