Applications of the Gulf of Maine Operational Forecast System to Enhance Spatio-Temporal Oceanographic Awareness for Ocean Mapping

被引:3
|
作者
Masetti, Giuseppe [1 ]
Smith, Michael J. [1 ]
Mayer, Larry A. [1 ]
Kelley, John G. W. [2 ]
机构
[1] Univ New Hampshire, Ctr Coastal & Ocean Mapping, NOAA UNH Joint Hydrog Ctr, Sch Marine Sci & Ocean Engn, Durham, NH 03824 USA
[2] NOAA, Natl Ocean Serv, Coastal Marine Modeling Branch, Durham, NH USA
基金
美国海洋和大气管理局; 美国国家科学基金会;
关键词
ocean mapping; underwater acoustics applications; oceanographic modeling; operational forecast models; surveying accuracy; FUTURE; MODEL;
D O I
10.3389/fmars.2019.00804
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Despite recent technological advances in seafloor mapping systems, the resulting products and the overall operational efficiency of surveys are often affected by poor awareness of the oceanographic environment in which the surveys are conducted. Increasingly reliable ocean nowcast and forecast model predictions of key environmental variables - from local to global scales - are publicly available, but they are often not used by ocean mappers. With the intention of rectifying this situation, this work evaluates some possible ocean mapping applications for commonly available oceanographic predictions by focusing on one of the available regional models: NOAA's Gulf of Maine Operational Forecast System. The study explores two main use cases: the use of predicted oceanographic variability in the water column to enhance and extend (or even substitute) the data collected on-site by sound speed profilers during survey data acquisition; and, the uncertainty estimation of oceanographic variability as a meaningful input to estimate the optimal time between sound speed casts. After having described the techniques adopted for each use case and their implementation as an extension of publicly available ocean mapping tools, this work provides evidence that the adoption of these techniques has the potential to improve efficiency in survey operations as well as the quality of the resulting ocean mapping products.
引用
收藏
页数:16
相关论文
共 41 条
  • [31] Spatio-Temporal Distribution and Trends of Major Agricultural Crops in Romania Using Interactive Geographic Information System Mapping
    Draguleasa, Ionut-Adrian
    Nita, Amalia
    Mazilu, Mirela
    Curcan, Gheorghe
    SUSTAINABILITY, 2023, 15 (20)
  • [32] Adaptation of High Spatio-Temporal Resolution Weather/Load Forecast in Real-World Distributed Energy-System Operation
    Pirooz, Amir Ali Safaei
    Sanjari, Mohammad J.
    Kim, Young-Jin
    Moore, Stuart
    Turner, Richard
    Weaver, Wayne W.
    Srinivasan, Dipti
    Guerrero, Josep M.
    Shahidehpour, Mohammad
    ENERGIES, 2023, 16 (08)
  • [33] Spatio-Temporal Determination of Small-Scale Vessels' Fishing Grounds Using a Vessel Monitoring System in the Southeastern Gulf of Mexico
    Torres-Irineo, Edgar
    Salas, Silvia
    Ivan Euan-Avila, Jorge
    Palomo, Leopoldo E.
    Quijano Quinones, Daniel R.
    Coronado, Eva
    Joo, Rocio
    FRONTIERS IN MARINE SCIENCE, 2021, 8
  • [34] A methodological approach to modelling in geohistory. From the (spatialized) chronology of events to the system behaviour through spatio-temporal mapping
    Giacona, Florie
    Martin, Brice
    Eckert, Nicolas
    Desarthe, Jeremy
    PHYSIO-GEO, 2019, 14 : 171 - 199
  • [35] Spatio-temporal coupling analysis and tipping points detection of China's coastal integrated land-human activity-ocean system
    Hua, Tianran
    He, Liuyue
    Jiang, Qutu
    Chou, Loke-Ming
    Xu, Zhenci
    Yao, Yanming
    Ye, Guanqiong
    SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 914
  • [36] Utilizing Geo-information Tools for Mapping Spatio-temporal Changes in Population of Prosopis cineraria (khejri) in Agroforestry System of Arid Western Rajasthan
    Moharana, P. C.
    Nagdev, Ritu
    Burman, Uday
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2018, 46 (03) : 431 - 442
  • [37] Utilizing Geo-information Tools for Mapping Spatio-temporal Changes in Population of Prosopis cineraria (khejri) in Agroforestry System of Arid Western Rajasthan
    P. C. Moharana
    Ritu Nagdev
    Uday Burman
    Journal of the Indian Society of Remote Sensing, 2018, 46 : 431 - 442
  • [38] Dynamic long-term streamflow probabilistic forecasting model for a multisite system considering real-time forecast updating through spatio-temporal dependent error correction
    Mo, Ran
    Xu, Bin
    Zhong, Ping-an
    Zhu, Feilin
    Huang, Xin
    Liu, Weifeng
    Xu, Sunyu
    Wang, Guoqing
    Zhang, Jianyun
    JOURNAL OF HYDROLOGY, 2021, 601 (601)
  • [39] OPEN AGENT BASED RUNOFF AND EROSION SIMULATION (OARES): A GENERIC CROSS PLATFORM TOOL FOR SPATIO-TEMPORAL WATERSHED MONITORING USING CLIMATE FORECAST SYSTEM REANALYSIS WEATHER DATA
    Majumdar, Sayantan
    Shukla, Shashwat
    Maiti, Abhisek
    ISPRS TC IV MID-TERM SYMPOSIUM 3D SPATIAL INFORMATION SCIENCE - THE ENGINE OF CHANGE, 2018, 4-4 : 125 - 132
  • [40] Applications of Sentinel-2 satellite data for spatio-temporal mapping of deep pools for monitoring the riverine connectivity and assessment of ecological dynamics: a case from Godavari, a tropical river in India (2016–2021)
    G. Kantharajan
    Arur Anand
    P. Krishnan
    Rajeev K. Singh
    Kundan Kumar
    Ajay Kumar Yadav
    Vindhya Mohindra
    S. P. Shukla
    Kuldeep K. Lal
    Environmental Monitoring and Assessment, 2022, 194