Suppr超能文献

用于大气和海洋条件多传感器协调测量的加泰罗尼亚海新型海洋观测浮标站(OOCS)。

The new pelagic Operational Observatory of the Catalan Sea (OOCS) for the multisensor coordinated measurement of atmospheric and oceanographic conditions.

机构信息

Centre d'Estudis Avançats de Blanes (CEAB-CSIC), Carrer accés Cala St. Francesc 14, 17300 Blanes, Spain.

出版信息

Sensors (Basel). 2011;11(12):11251-72. doi: 10.3390/s111211251. Epub 2011 Nov 28.

Abstract

The new pelagic Operational Observatory of the Catalan Sea (OOCS) for the coordinated multisensor measurement of atmospheric and oceanographic conditions has been recently installed (2009) in the Catalan Sea (41°39'N, 2°54'E; Western Mediterranean) and continuously operated (with minor maintenance gaps) until today. This multiparametric platform is moored at 192 m depth, 9.3 km off Blanes harbour (Girona, Spain). It is composed of a buoy holding atmospheric sensors and a set of oceanographic sensors measuring the water conditions over the upper 100 m depth. The station is located close to the head of the Blanes submarine canyon where an important multispecies pelagic and demersal fishery gives the station ecological and economic relevance. The OOCS provides important records on atmospheric and oceanographic conditions, the latter through the measurement of hydrological and biogeochemical parameters, at depths with a time resolution never attained before for this area of the Mediterranean. Twenty four moored sensors and probes operating in a coordinated fashion provide important data on Essential Ocean Variables (EOVs; UNESCO) such as temperature, salinity, pressure, dissolved oxygen, chlorophyll fluorescence, and turbidity. In comparison with other pelagic observatories presently operating in other world areas, OOCS also measures photosynthetic available radiation (PAR) from above the sea surface and at different depths in the upper 50 m. Data are recorded each 30 min and transmitted in real-time to a ground station via GPRS. This time series is published and automatically updated at the frequency of data collection on the official OOCS website (http://www.ceab.csic.es/~oceans). Under development are embedded automated routines for the in situ data treatment and assimilation into numerical models, in order to provide a reliable local marine processing forecast. In this work, our goal is to detail the OOCS multisensor architecture in relation to the coordinated capability for the remote, continuous and prolonged monitoring of atmospheric and oceanographic conditions, including data communication and storage. Accordingly, time series of measurements for a number of biological parameters will be presented for the summer months of 2011. Marine hindcast outputs from the numerical models implemented for simulating the conditions over the study area are shown. The strong changes of atmospheric conditions recorded in the last years over the area have altered the marine conditions of living organisms, but the dimension of the impact remains unclear. The OOCS multisensor coordinated monitoring has been specifically designed to address this issue, thus contributing to better understand the present environmental fluctuations and to provide a sound basis for a more accurate marine forecast system.

摘要

新的加泰罗尼亚海海洋学观测平台(OOCS)最近(2009 年)在加泰罗尼亚海(41°39'N,2°54'E;地中海西部)安装并持续运行(仅在进行少量维护时暂停)至今。该多参数平台固定在 192 米深处,距离西班牙赫罗纳的布拉内斯港 9.3 公里。它由一个浮标组成,浮标上装有大气传感器,还有一套海洋传感器,用于测量上层 100 米深度的海水条件。该站位于布拉内斯海底峡谷的上游,这里有一个重要的多物种洄游鱼类和底栖鱼类渔业,为该站提供了生态和经济意义。OOCS 通过测量水文和生物地球化学参数,提供了有关大气和海洋条件的重要记录,这些记录的时间分辨率在该地中海区域前所未有。二十四个协调工作的系泊传感器和探头提供了有关重要海洋变量(教科文组织)的数据,例如温度、盐度、压力、溶解氧、叶绿素荧光和浊度。与目前在世界其他地区运行的其他海洋观测站相比,OOCS 还测量海面上方和上层 50 米内不同深度的光合有效辐射(PAR)。数据每 30 分钟记录一次,并通过 GPRS 实时传输到地面站。该时间序列在官方 OOCS 网站(http://www.ceab.csic.es/~oceans)上按数据收集的频率发布并自动更新。目前正在开发嵌入式自动程序,用于对现场数据进行处理并纳入数值模型,以提供可靠的本地海洋处理预测。在这项工作中,我们的目标是详细介绍 OOCS 的多传感器架构,以及用于远程、连续和长期监测大气和海洋条件的协调能力,包括数据通信和存储。相应地,将呈现 2011 年夏季几个生物参数的测量时间序列。还展示了为模拟研究区域条件而实施的数值模型的海洋回溯输出。该区域过去几年记录到的大气条件的强烈变化改变了生物的海洋条件,但影响的程度尚不清楚。OOCS 多传感器协调监测专门用于解决这个问题,从而有助于更好地了解当前的环境波动,并为更准确的海洋预测系统提供可靠的基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db4b/3251981/d98d48f72f63/sensors-11-11251f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验