A Comparison of the Three Upwelling Indices in the South Java Sea Shelf

Q3 Health Professions
A. S. Budiman, D. Bengen, I. Nurjaya, Z. Arifin, M. F. A. Ismail
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引用次数: 1

Abstract

Abstract Upwelling plays a crucial role in driving cross-shelf circulation between the continental shelf and boundary currents. It is well known that upwelling results in the exchange of heat, nutrients, fish larvae, and other properties. It controls primary productivity, which promotes higher trophic levels and fisheries. Upwelling can be identified by at least three physical variables: wind, sea surface temperature (SST), and chlorophyll-a (Chl-a). The intensity of upwelling can then be calculated using the Upwelling Index (UI), which is based on these three variables. Wind-based UI (UIET), SST-based UI (UISST), and Chl-a-based UI (UICHL) were calculated using satellite-derived and reanalysis data from 2002 to 2017. Those three UIs were analyzed spatially and temporarily to determine the differences in upwelling strength and duration. The most appropriate UI for explaining the South Java upwelling system in our domain was determined through the correlation analysis. The monthly mean climatology of all UI (UIET, UISST, and UICHL) reveals the seasonal variation, which is high during the southeast (SE) monsoon. The strongest correlation between UISST and Chl-a with the smallest lag times suggested that South Java upwelling in our domain can be identified better using SST-based UI (UISST) than through the Ekman mass transport-based UIET, particularly in the east, relevant to the earlier study. Keywords: Chlorophyll-a, Upwelling Indexes, South Java Upwelling
南爪哇海陆架三个上升流指数的比较
摘要上升流在推动大陆架和边界流之间的跨大陆架环流中起着至关重要的作用。众所周知,上升流导致热量、营养物质、鱼类幼虫和其他特性的交换。它控制初级生产力,从而促进更高的营养水平和渔业。上升可以通过至少三个物理变量来识别:风、海面温度(SST)和叶绿素a(Chl-a)。然后可以使用基于这三个变量的上升指数(UI)来计算上升流的强度。使用2002年至2017年的卫星衍生和再分析数据计算了基于风的UI(UIET)、基于SST的UI(ISST)和基于Chl-a的UI(UICHL)。对这三个UI进行了空间和临时分析,以确定上升流强度和持续时间的差异。通过相关性分析确定了在我们的领域中解释南爪哇上升流系统的最合适的UI。所有UI(UIET、UIST和UICHL)的月平均气候学揭示了季节变化,在东南季风期间变化幅度较大。UIST和Chl-a之间的相关性最强,滞后时间最小,这表明使用基于SST的UI(UIST)比使用基于Ekman质量传输的UIET更好地识别我们领域的南爪哇上升流,特别是在东部,这与早期研究有关。关键词:叶绿素a,上升指数,南爪哇上升
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来源期刊
Chiang Mai University journal of natural sciences
Chiang Mai University journal of natural sciences Health Professions-Health Professions (miscellaneous)
CiteScore
1.70
自引率
0.00%
发文量
67
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