Integrated Coral Observing Network (ICON) - Norman's Patch Reef (Bahamas) 2006 Meteorological and Oceanographic Observations (NODC Accession 0049874)
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The Atlantic Oceanographic and Meteorological Laboratory (AOML) of OAR
is conducting research on the influence of meteorological and
oceanographic factors upon coral bleaching, and other biogeochemical
processes occurring on coral reefs. Instrument arrays to measure the
various environmental influences are being deployed at key coral reef
areas to gain long-term temporally intensive data coverage, to provide
near real-time information products, and to surface-truth NOAA satellite sea surface temperature (SST) products used for coral bleaching predictions ("HotSpot" products). OAR has developed expert system software plus the instrument array (together called a Coral Reef Early Warning System, or ICON, station) to screen data in near real-time to test for appropriate data ranges for each of the instruments, and to issue "alerts" as to conditions thought to be conducive to coral bleaching, and other modeled events. At each ICON station, local collaborators also provide feedback on the presence and progress of coral bleaching and thus validate coral bleaching predictions made by satellite HotSpots and ICON information products.
美国海洋与大气研究办公室(Office of Oceanic and Atmospheric Research, OAR)下属的大西洋海洋气象实验室(Atlantic Oceanographic and Meteorological Laboratory, AOML)正开展相关研究,探究气象与海洋学因素对珊瑚白化,以及珊瑚礁上发生的其他生物地球化学过程的影响。研究团队将在关键珊瑚礁区域部署用于监测各类环境影响因子的仪器阵列,以获取长期高时间分辨率的密集观测数据,提供近实时信息产品,并对用于珊瑚白化预测的美国国家海洋和大气管理局(National Oceanic and Atmospheric Administration, NOAA)卫星海表温度(Sea Surface Temperature, SST)产品(即"HotSpot"产品)开展地面验证。OAR已开发专家系统软件与配套仪器阵列(二者合称为珊瑚礁早期预警系统(Coral Reef Early Warning System,ICON)站),可在近实时环境下筛选观测数据,校验各仪器的适宜数据区间,并针对被认为有利于珊瑚白化及其他模拟事件发生的环境条件发布"警报"。在每个ICON站,本地合作方还会提供珊瑚白化的发生情况与进展反馈,以此验证由卫星HotSpot产品及ICON信息产品生成的珊瑚白化预测结果。
创建时间:
2016-03-24



