| 引用本文: | 纪世建,周为峰,樊 伟,靳少非,崔雪森.中国远洋作业渔场海表温度异常年际变动分析[J].海洋科学,2016,40(1):85-93. |
| |
|
| |
|
|
| 本文已被：浏览 1700次 下载 2451次 |
码上扫一扫！ |
|
|
| 中国远洋作业渔场海表温度异常年际变动分析 |
|
纪世建1,2, 周为峰1, 樊 伟1, 靳少非3, 崔雪森1
|
|
1.农业部东海与远洋渔业资源开发利用重点实验室;2.上海海洋大学 海洋科学学院;3.中国科学院 大气物理研究所, 东亚区域气候环境重点实验室
|
|
| 摘要: |
| 基于美国国家海洋大气局(NOAA)气候预测中心月平均SST资料, 利用时间序列的统计学特征分析了中国7个主要远洋作业渔场1982～2011年海表温度异常(SSTA)年际变动, 用功率谱方法计算时间序列的显著变动周期, 并用相关分析探讨了去除趋势项后的SSTA与南方涛动指数(Southern Oscillation Index, SOI)的相关性。结果表明, 1982～2011年中国主要远洋作业渔场SSTA为-0.3～0.3℃, 波动周期约为3～4 a,平均SSTA总体呈现上升趋势, 与SOI存在显著的相关性(r=-0.509),说明渔场的SSTA与ENSO事件有着密切联系; 从渔场SSTA升降趋势来看, 除了东太平洋和东南太平洋SSTA出现下降趋势, 其余渔场的SSTA均有一定程度的上升, 其中西北太平洋SSTA上升最为显著; 从渔场SSTA的变化周期来看, 东太平洋和西南大西洋的SSTA变化周期为3～4 a,东南太平洋为4 a,西太平洋为5 a,其余的短期周期性较不明显, 约为10 a; 与SOI时间序列进行相关分析得到, 东太平洋、中大西洋以及西南大西洋均与SOI存在显著的相关性, 相关系数分别为–0.895、0.471 和–0.598, 其余渔场与SOI无显著相关。通过各渔场间的对比得到以下特征: 赤道附近海域东太平洋SSTA变化往往与西太平洋和中大西洋反相, 而与印度洋同相; 中纬度海域的3个渔场中, 南半球中纬度渔场温度变化要比北半球中纬度渔场小; 东、西印度洋SSTA存在显著相关性, 印度洋内部SSTA正负变化情况基本一致。 |
| 关键词: 远洋渔场 海表温度 海表温度异常 |
| DOI：10.11759/hykx20150313003 |
| 分类号: |
| 基金项目:国家科技支撑计划项目(2013BAD13B06); 上海市科学技术委员会科研计划项目(15DZ1202201) |
|
| Sea surface temperature anomaly’s interannual variability in pelagic fishing grounds of China |
|
JI Shi-jian1,2, ZHOU Wei-feng1, FAN Wei1, JIN Shao-fei1, CUI Xue-sen3
|
|
1.Key Laboratory of East China Sea & Oceanic Fishery Resources Exploitation and Utilization, Ministry of Agriculture;2.College of Marine Sciences, Shanghai Ocean University;3.Key Laboratory of Regional Climate-Environment for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences
|
| Abstract: |
| Based on monthly averaged sea surface temperature data from the U.S. National Oceanic and Atmospheric Administration’s Climate Prediction Center, we conducted a statistical analysis of sea surface temperature anomalies (SSTA) of China’s seven main pelagic fishing grounds, the East Pacific, West Pacific, Middle Atlantic, North Pacific, Southeast Pacific, Southwest Atlantic, and Indian Ocean fishing grounds over a 30-year time period (1982–2011) using the power spectrum method to calculate remarkable variation periods in the time series. We also performed a correlation analysis to determine the correlation between trend-removed SSTA and the southern oscillation index (SOI). The results show that the SSTA of China’s main pelagic fishing grounds fluctuate between –0.3℃ and 0.3℃ with a 3–4-year period and demonstrate a general rising trend over the 30-year period. A significant correlation (r = ?0.509) exists between the trend-removed SSTA and SOI, indicating that the SSTA of the fishing grounds are closely related to ENSO events. In terms of the SSTA fluctuation trend of the fishing grounds, we found that except for the downward SSTA trends in the East Pacific and Southeast Pacific, the other fishing grounds’ SSTA increases to a certain degree, especially in the North Pacific. In terms of the fishing ground SSTA fluctuation period, the SSTA variation period is 3-4 years in the East Pacific as well as in the Southwest Atlantic, 4 years in the Southeast Pacific, 5 years in the West Atlantic, and 10 years in the other areas. The correlation analysis between the trend-removed SSTA of each fishing ground and the SOI indicates that the SOI is correlated to the SSTA of the East Pacific, middle Atlantic, and Southwest Atlantic, with correlation coefficients of –0.895, 0.471, and –0.598, respectively, and no significant correlation was observed for the others. A comparison of the fishing grounds reveals the following features. At the equator, the SSTA change of the East Pacific fishing ground is always opposite to that of the West Pacific and Middle Atlantic fishing grounds but is in-phase with that of the Indian Ocean fishing ground. Among the three fishing grounds in the mid-latitudes, SSTA changes in the Southern Hemisphere latitudes are more stable than those in the northern latitudes. A significant correlation exists between the East Indian and West Indian Oceans, and positive and negative changes in the SSTAs of the entire Indian Ocean are basically the same. |
| Key words: pelagic fishing ground sea surface temperature sea surface temperature anomaly |
|
|
|
|
|
|