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首页> 外文期刊>Open Journal of Marine Science >The Influence of Large-Scale Phenomena on La Paz Bay Hydrographic Variability
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The Influence of Large-Scale Phenomena on La Paz Bay Hydrographic Variability

机译:大规模现象对拉巴斯湾水文变异的影响

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We analyzed the hydrographic variability of La Paz Bay, the largest coastal water body in the Gulf of California, and its relationship with Pacific large-scale phenomena, including the El Ni?o-Southern Oscillation (ENSO), Pacific Decadal Oscillation (PDO), Pacific-North America pattern (PNA), and North Pacific pattern (NP). We used several indices related to these phenomena and the hydrographic variability data of La Paz Bay, consisting of the annual sea surface temperature patterns from satellite imagery from 2000 to 2010 and the mixed layer depths measured with?in situ?data from 1994 to 2009. The results indicate the sea surface temperature fluctuated during the study period, with 2007 as the coldest year and 2009 as the warmest. Two periods were identified in the annual thermal cycle of the bay, one period of warmth from June to November, and one of cold from December to May. The sea surface temperature is primarily influenced by the ENSO. The mixed layer depth analysis showed its absence during August-September, while the deepest ones were in November-March. The unusual 100 m mixed layer depth noted during February 2002 and its absence in March 1996 and 2009 were related to uncommon atmospheric conditions in the annual patterns of the ENSO, PNA, and NP. The variability of the mixed layer depth is primarily related to the variability of the NP. We concluded that the hydrographic conditions of La Paz Bay are most influenced by the NP during the cold phase of its annual cycle, and by the ENSO during the warm phase.
机译:我们分析了加利福尼亚湾最大的沿海水体拉巴斯湾的水文变异性及其与太平洋大尺度现象的关系,包括厄尔尼诺-南方涛动(ENSO),太平洋十年涛动(PDO) ,太平洋北美模式(PNA)和北太平洋模式(NP)。我们使用了与这些现象有关的几个指数以及拉巴斯湾的水文变异性数据,其中包括2000年至2010年卫星图像的年度海表温度模式以及1994年至2009年使用实地数据测得的混合层深度。结果表明,在研究期间,海面温度有所波动,2007年为最冷的年份,2009年为最暖的年份。在海湾的年度热循环中确定了两个时期,一个从六月到十一月的温暖时期,另一个从十二月到五月的寒冷时期。海面温度主要受ENSO影响。混合层深度分析显示在8月至9月期间不存在,而最深层在11月至3月。在2002年2月发现异常的100 m混合层深度,在1996年3月和2009年3月没有出现这种现象,这与ENSO,PNA和NP的年度模式中的罕见大气条件有关。混合层深度的可变性主要与NP的可变性有关。我们得出的结论是,拉巴斯湾的水文条件在其年度周期的冷期受NP的影响最大,而在暖期则受ENSO的影响最大。

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