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Slocum Glider Observations of the Subsurface Chlorophyll-a Maximum on the Texas Continental Shelf Boundary

机译:Slocum滑翔机对德克萨斯大陆架边界的最大叶绿素的观察

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From September $mathrm{26}^{th}$, 2019 to January $mathrm{5}^{th}$, 2020, the Geochemical and Environmental Research Group (GERG) at Texas A&M University deployed a Slocum G2 buoyancy glider on the outer Texas continental shelf boundary, which collected 510 profiles of biochemical and physical variables, spanning 103 days of operation. An algorithm was established to identify the subsurface chlorophyll-a (chl $a$) maximum within the euphotic zone for each glider profile for the near-real time data set. Over the course of the mission, three chl a profile types were identified: single peak (one chl $a$ maximum), double peak (two chl $a$ maxima), and a high concentration surface layer. The current version of the algorithm identified the depth of the chl a maxima in 86 % of the mission profiles with identification errors associated with creating false double profile peaks. Analysis was performed to determine a relationship between the mixed layer depth, as defined by the maximum buoyancy frequency squared $(N^{2})$ observed in each profile, and the depth at which the maximum chl $a$ fluorescence was observed.
机译:从九月 $ mathrm {26} ^ {第} $ ,2019年一月 $ mathrm {5} ^ {第} $ ,2020年,地球化学与环境研究小组(GERG)在得克萨斯州A与M大学部署外德州大陆架边界,里面收集510个型材生化和物理变量,跨越运营103天的一个斯洛克姆G2浮力滑翔机。算法成立,以确定地下叶绿素a(CHL $ a $ 对于近实时数据集中的每个滑翔机配置文件中的透光层内)最大。在任务的过程中,三个叶绿素被认定配置文件类型:单峰(CHL一个 $ a $ 最大值),双峰(2个叶绿素 $ a $ 最大值),和高浓度表面层。该算法的当前版本标识的叶绿素的深度最大值在与创建虚假的双轮廓峰有关识别错误的任务剖面86%。分析以测定该混合层深度之间的关系,由平方最大浮力频率所限定 $(N ^ {2} )$ 在每个轮廓观察,并且深度在其中最大叶绿素 $ a $ 荧光观察。

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