SENSORS: Collaborative Research: ALOHA Mooring Sensor Network and Adaptive Sampling

私营部门提议开发一个系泊的深海传感器网络，该网络将首先安装在夏威夷海洋时间序列/阿罗哈天文台，然后在实施时安装在其他有线观测站。这个系泊的传感器网络基于一个剖面仪，该剖面仪将在程序控制下在近地表和固定的深海传感器之间移动。PI们认为，这个项目将展示自适应采样方法与系泊系列剖面传感器相结合的科学潜力。考虑到相互竞争的科学目标、将被观测的不断变化的环境以及观测传感器和网络的物理限制，PI还将开发优化软件工具，以最大限度地提高总体信息回报。由最近资助的有线ALOHA天文台提供的电力和双向实时通信能力对于这里提出的采样改进和传感器网络至关重要。这种系泊的自适应采样系统将对国内和国际上不断发展的海洋观测系统产生直接影响。此外，自动检测生态事件的能力将对其他传感器系统有用。这项研究的数据和结果将有助于我们更好地了解太平洋的生物地球化学过程，从而有助于我们了解备受瞩目的研究议程，如全球碳循环和太平洋渔业。

The PIs propose to develop a moored deep-ocean sensor network that will first be installed at the Hawaii Ocean Time-series (HOT)/ALOHA Observatory (AO) and then at other cabled observatory sites as they are implemented. This moored sensor network is based on a profiler that will move between near-surface and fixed abyssal sensors under program control. The PIs feel that this project will demonstrate the scientific potential of combining adaptive sampling methods with a moored series of profiling sensors. The PIs will also develop optimization software tools to maximize overall information return given the constraints of competing scientific objectives, the continually changing environment that will be observed, and the physical limitations of the observing sensors and network. The power and two-way real time communications capability provided by the recently funded cabled ALOHA Observatory is essential to the sampling improvements and sensor network proposed here. This moored adaptive sampling system would have direct impact on evolving ocean observing systems both nationally and internationally. Furthermore, the ability to automatically detect ecological events would be useful for other sensor systems. Data and results from this study will help improve our understanding of biogeochemical processes in the Pacific and thus will aid in our understanding of high-profile research agendas, such as global carbon cycling and the Pacific fisheries.