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首页> 外文期刊>Global Biogeochemical Cycles >Seasonal and ENSO variability in global ocean phytoplankton chlorophyll derived from 4 years of SeaWiFS measurements
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Seasonal and ENSO variability in global ocean phytoplankton chlorophyll derived from 4 years of SeaWiFS measurements

机译:SeaWiFS测量4年得出的全球海洋浮游植物叶绿素的季节和ENSO变异

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摘要

[1] The 4-year, calibrated SeaWiFS data set provides a means to determine seasonal and other sources of phytoplankton variability on global scales, which is an important component of the total variability associated with ocean biological and biogeochemical processes. We used empirical orthogonal function (EOF) analysis on a 4-year time series of global SeaWiFS chlorophyll a measurements to quantify the major seasonal (as well as the late El Ni?o and La Ni?a phase of the 1997–1998 ENSO) signals in phytoplankton biomass between 50°S and 50°N, and then a second analysis to quantify summer patterns at higher latitudes. Our results help place regional satellite chlorophyll variability within a global perspective. Among the effects we resolved are a 6-month phase shift in maximum chlorophyll a concentrations between subtropical (winter peaks) and subpolar (spring-summer peaks) waters, greater seasonal range at high latitudes in the Atlantic compared to the Pacific, an interesting phasing between spring and fall biomass peaks at high latitudes in both hemispheres, and the effects of the 1998 portion of the 1997–1998 ENSO cycle in the tropics. Our EOF results show that dominant seasonal and ENSO effects are captured in the first six of a possible 184 modes, which explain 67% of the total temporal variability associated with the global mean phytoplankton chlorophyll pattern in our smoothed data set. The results also show that the time (seasonal)/space (zonal) patterns between the ocean basins and between the hemispheres are similar, albeit with some key differences. Finally, the dominant global patterns are consistent with the results of ocean models of seasonal dynamics based on seasonal changes to the heating and cooling (stratification/destratification) cycles of the upper ocean.
机译:[1]经过4年校准的SeaWiFS数据集提供了一种手段来确定全球规模上季节性和其他来源的浮游植物变异性,这是与海洋生物和生物地球化学过程相关的总变异性的重要组成部分。我们对全球SeaWiFS叶绿素a的4年时间序列进行了经验正交函数(EOF)分析,以量化主要的季节性变化(以及1997-1998年ENSO的晚期El Ni?o和La Ni?a期)在50°S和50°N之间的浮游植物生物量中发出信号,然后进行第二次分析以量化高纬度的夏季模式。我们的结果有助于将卫星区域的叶绿素变异性置于全球视野内。在我们解决的影响中,亚热带(冬季高峰)和亚极性(春夏季峰)水域之间的最大叶绿素a浓度发生了6个月的相移,与太平洋地区相比,大西洋高纬度地区的季节变化范围更大,这是一个有趣的阶段两个半球高纬度春季和秋季生物量峰值之间的关系,以及热带地区1997-1998年ENSO周期的1998年部分的影响。我们的EOF结果显示,在可能的184个模式中的前六个模式中捕获了主要的季节和ENSO效应,这解释了我们平滑的数据集中与全球平均浮游植物叶绿素模式相关的总时间变异性的67%。结果还表明,海盆之间和半球之间的时间(季节)/空间(区域)模式是相似的,尽管存在一些关键差异。最后,主要的全球格局与基于上层海洋的加热和冷却(分层/去饱和)周期的季节性变化的季节动态海洋模型的结果一致。

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