Retrospective and prospective views of the Ocean Observing System in the Gulf of Maine

N. Pettigrew, J. Wallinga, L. Mangum, F. Neville
{"title":"Retrospective and prospective views of the Ocean Observing System in the Gulf of Maine","authors":"N. Pettigrew, J. Wallinga, L. Mangum, F. Neville","doi":"10.1109/OCEANS.2008.5152030","DOIUrl":null,"url":null,"abstract":"The Gulf of Maine Ocean Observing System (GoMOOS) is a comprehensive prototype integrated coastal ocean observing system that was established in the summer of 2001. Its current configuration includes eleven solar-powered buoy-monitored locations with physical and optical sensors, four shore-based long-range HF radar systems for surface current measurement, operational circulation and wave models, satellite observations, inshore nutrient monitoring, and hourly web-delivery of data. It serves a broad array of real-time oceanographic and marine meteorological data and data products to scientists, state and federal regulators, the National Weather Service, both the US and Canadian Coast Guards, the National Data Buoy Center, educators, regional natural- resource managers, the Gulf of Maine fishing and maritime industries, local airports and airlines, sailors, and the general public. The ocean observing system that can be thought of as consisting of four major subsystems: the data acquisition subsystem; the data handling, processing, and archiving subsystem; the system of numerical nowcast and forecast models; and a web-based data distribution/presentation subsystem. The Gulf of Maine is a harsh operational environment. Winter storms pose severe challenges including the build up of sea ice on buoy, its solar panels, and its meteorological sensors. In summer the productive waters of the gulf can present severe biofouling problems that affect the operation of optical sensors. Thus, the periods of most difficult field operations coincide with the periods of greatest data value in terms of marine safety, search and rescue, and the monitoring biological productivity. Never-the-less, the data returns for the GoMOOS ocean sensor array has averaged approximately 90% over the first seven years of operation. This unusually high rate of data return is due in large part to our operational six-month duty/maintenance cycle on all equipment. We have 22 buoys for 11 locations, and 22 complete sets of instrumentation that are rotated in and out of service on a six month schedule. The challenges of the Gulf of Maine physical environment were largely understood a priori, and were incorporated into the system design criteria and the blueprints for the service and maintenance protocols. However, there were unanticipated challenges in the funding process that have caused the greatest difficulties, and which continue to pose a serious threat to continued operation and success of this ocean observing system, as well as others observing systems in the United States. Funding for the system has been chronically short and subject to the unpredictable fluctuations of a US congressional appropriations process. The inadequacy and variability of funding has substantially hampered the operations of many of the Integrated Ocean Observing Systems (IOOS), including GoMOOS, and has hindered technological improvements. The funding crisis has deepened to the point that, unless this trend is quickly reversed, the number of monitoring stations will be substantially reduced and system will no longer be able to serve many of citizens, organizations, and agencies that have come to rely upon the data it currently provides. Ocean sensors, ocean platform technologies, and modeling and visualization techniques are in a period of rapid technical development. If stable funding can be achieved, the capabilities of operational ocean observing systems could increase dramatically over the next decade. Autonomous vehicles could become the fast response survey fleet of the IOOS, as well as taking on routine, sustained marine survey functions that are already prohibitively expensive to perform using ships, and will become even more costly as energy costs rise in the future. Practical autonomous vehicles will likely expand beyond gliders and AUVs to include surface sail vessels and energy-efficient autonomous aerial drones. The combination of time series measurements from profiling packages on buoy arrays with the repeatedly spatial surveys of the autonomous fleets will provide a new look at our coastal oceans that could transform coastal ocean science and management. Coupled with these new platform advances will be significant growth in the areas of real-time biochemical sensors, sensor miniaturization, high-speed data telemetry technologies, increases in onboard data processing capabilities, routine two-way communications with submerged sensors, and advances in data visualization techniques that will amount to virtual presence. The single greatest enabling factor of these broad improvements to ocean observing operations and science appears, at present, to be the establishment of an adequate, stable, and predictable funding process.","PeriodicalId":113677,"journal":{"name":"OCEANS 2008","volume":"111 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"OCEANS 2008","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OCEANS.2008.5152030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The Gulf of Maine Ocean Observing System (GoMOOS) is a comprehensive prototype integrated coastal ocean observing system that was established in the summer of 2001. Its current configuration includes eleven solar-powered buoy-monitored locations with physical and optical sensors, four shore-based long-range HF radar systems for surface current measurement, operational circulation and wave models, satellite observations, inshore nutrient monitoring, and hourly web-delivery of data. It serves a broad array of real-time oceanographic and marine meteorological data and data products to scientists, state and federal regulators, the National Weather Service, both the US and Canadian Coast Guards, the National Data Buoy Center, educators, regional natural- resource managers, the Gulf of Maine fishing and maritime industries, local airports and airlines, sailors, and the general public. The ocean observing system that can be thought of as consisting of four major subsystems: the data acquisition subsystem; the data handling, processing, and archiving subsystem; the system of numerical nowcast and forecast models; and a web-based data distribution/presentation subsystem. The Gulf of Maine is a harsh operational environment. Winter storms pose severe challenges including the build up of sea ice on buoy, its solar panels, and its meteorological sensors. In summer the productive waters of the gulf can present severe biofouling problems that affect the operation of optical sensors. Thus, the periods of most difficult field operations coincide with the periods of greatest data value in terms of marine safety, search and rescue, and the monitoring biological productivity. Never-the-less, the data returns for the GoMOOS ocean sensor array has averaged approximately 90% over the first seven years of operation. This unusually high rate of data return is due in large part to our operational six-month duty/maintenance cycle on all equipment. We have 22 buoys for 11 locations, and 22 complete sets of instrumentation that are rotated in and out of service on a six month schedule. The challenges of the Gulf of Maine physical environment were largely understood a priori, and were incorporated into the system design criteria and the blueprints for the service and maintenance protocols. However, there were unanticipated challenges in the funding process that have caused the greatest difficulties, and which continue to pose a serious threat to continued operation and success of this ocean observing system, as well as others observing systems in the United States. Funding for the system has been chronically short and subject to the unpredictable fluctuations of a US congressional appropriations process. The inadequacy and variability of funding has substantially hampered the operations of many of the Integrated Ocean Observing Systems (IOOS), including GoMOOS, and has hindered technological improvements. The funding crisis has deepened to the point that, unless this trend is quickly reversed, the number of monitoring stations will be substantially reduced and system will no longer be able to serve many of citizens, organizations, and agencies that have come to rely upon the data it currently provides. Ocean sensors, ocean platform technologies, and modeling and visualization techniques are in a period of rapid technical development. If stable funding can be achieved, the capabilities of operational ocean observing systems could increase dramatically over the next decade. Autonomous vehicles could become the fast response survey fleet of the IOOS, as well as taking on routine, sustained marine survey functions that are already prohibitively expensive to perform using ships, and will become even more costly as energy costs rise in the future. Practical autonomous vehicles will likely expand beyond gliders and AUVs to include surface sail vessels and energy-efficient autonomous aerial drones. The combination of time series measurements from profiling packages on buoy arrays with the repeatedly spatial surveys of the autonomous fleets will provide a new look at our coastal oceans that could transform coastal ocean science and management. Coupled with these new platform advances will be significant growth in the areas of real-time biochemical sensors, sensor miniaturization, high-speed data telemetry technologies, increases in onboard data processing capabilities, routine two-way communications with submerged sensors, and advances in data visualization techniques that will amount to virtual presence. The single greatest enabling factor of these broad improvements to ocean observing operations and science appears, at present, to be the establishment of an adequate, stable, and predictable funding process.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
缅因湾海洋观测系统的回顾与展望
缅因湾海洋观测系统(Gulf of Maine Ocean Observing System, GoMOOS)是2001年夏季建成的一个综合性的原型型近海海洋观测系统。它目前的配置包括11个太阳能浮标监测位置,配有物理和光学传感器,4个岸基远程高频雷达系统,用于表面电流测量、操作循环和波浪模型、卫星观测、近海营养监测和每小时网络数据传输。它为科学家、州和联邦监管机构、国家气象局、美国和加拿大海岸警卫队、国家数据浮标中心、教育工作者、区域自然资源管理者、缅因湾渔业和海运业、当地机场和航空公司、水手和公众提供广泛的实时海洋学和海洋气象数据和数据产品。海洋观测系统可以被认为由四个主要子系统组成:数据采集子系统;数据处理、处理和归档子系统;数值临近预报和预报模式系统;以及基于web的数据分发/表示子系统。缅因湾是一个恶劣的作业环境。冬季风暴带来了严峻的挑战,包括浮标、太阳能电池板和气象传感器上的海冰积聚。在夏季,海湾的生产水域会出现严重的生物污染问题,影响光学传感器的运行。因此,外勤行动最困难的时期恰好是在海上安全、搜索和救援以及监测生物生产力方面数据价值最大的时期。尽管如此,在运行的前7年里,GoMOOS海洋传感器阵列的数据回报率平均约为90%。这种不同寻常的高数据返回率在很大程度上是由于我们所有设备的运行6个月的值班/维护周期。我们在11个地点有22个浮标,22套完整的仪器在6个月的时间里轮流使用和停用。缅因湾物理环境的挑战在很大程度上是先验理解的,并被纳入系统设计标准和服务和维护协议的蓝图中。然而,在筹资过程中出现了意想不到的挑战,这些挑战造成了最大的困难,并继续对该海洋观测系统以及美国其他观测系统的持续运作和成功构成严重威胁。该系统的资金长期不足,而且受制于美国国会拨款程序不可预测的波动。资金的不足和不稳定严重阻碍了许多综合海洋观测系统(IOOS)的运作,包括地球轨道观测系统(GoMOOS),并阻碍了技术改进。资金危机已经加深到这样的程度,除非这一趋势迅速扭转,否则监测站的数量将大幅减少,系统将无法再为依赖其目前提供的数据的许多公民、组织和机构提供服务。海洋传感器技术、海洋平台技术以及建模和可视化技术正处于技术快速发展时期。如果能够获得稳定的资金,可操作的海洋观测系统的能力将在今后十年大幅提高。自动驾驶车辆可以成为IOOS的快速响应调查船队,并承担常规的、持续的海洋调查功能,这些功能使用船舶执行已经非常昂贵,并且随着未来能源成本的上升,成本将变得更加昂贵。除了滑翔机和auv之外,实用的自动驾驶车辆可能会扩展到水面航行船和节能的自主无人机。浮标阵列上分析包的时间序列测量与自主船队的重复空间调查相结合,将为我们的沿海海洋提供一个新的视角,可能会改变沿海海洋科学和管理。与这些新平台的进步相结合,实时生化传感器、传感器小型化、高速数据遥测技术、机载数据处理能力的提高、与水下传感器的常规双向通信以及数据可视化技术的进步将达到虚拟存在。目前看来,对海洋观测作业和科学的这些广泛改进的唯一最大的促成因素是建立一个充分、稳定和可预测的供资程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Diving behavior of female loggerhead turtles (Caretta caretta) during their internesting interval and an evaluation of the risk of boat strikes Variability of observed reverberation and estimated sea-floor scattering strength 3-D motion and structure estimation for arbitrary scenes from 2-D optical and sonar video AUV measurements of under-ice thermal structure Marine Broadband Framework for coastal fishings
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1