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

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...

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Main Authors: Giuseppe Masetti, Michael J. Smith, Larry A. Mayer, John G. W. Kelley
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-01-01
Series:Frontiers in Marine Science
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fmars.2019.00804/full
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author Giuseppe Masetti
Michael J. Smith
Larry A. Mayer
John G. W. Kelley
author_facet Giuseppe Masetti
Michael J. Smith
Larry A. Mayer
John G. W. Kelley
author_sort Giuseppe Masetti
collection DOAJ
description 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.
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spelling doaj.art-2ca93ff6809c404eae80180e57d451822022-12-22T02:41:50ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452020-01-01610.3389/fmars.2019.00804492428Applications of the Gulf of Maine Operational Forecast System to Enhance Spatio-Temporal Oceanographic Awareness for Ocean MappingGiuseppe Masetti0Michael J. Smith1Larry A. Mayer2John G. W. Kelley3Center for Coastal and Ocean Mapping/NOAA-UNH Joint Hydrographic Center, School of Marine Science and Ocean Engineering, University of New Hampshire, Durham, NH, United StatesCenter for Coastal and Ocean Mapping/NOAA-UNH Joint Hydrographic Center, School of Marine Science and Ocean Engineering, University of New Hampshire, Durham, NH, United StatesCenter for Coastal and Ocean Mapping/NOAA-UNH Joint Hydrographic Center, School of Marine Science and Ocean Engineering, University of New Hampshire, Durham, NH, United StatesNOAA, National Ocean Service, Coastal Marine Modeling Branch, Durham, NH, United StatesDespite 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.https://www.frontiersin.org/article/10.3389/fmars.2019.00804/fullocean mappingunderwater acoustics applicationsoceanographic modelingoperational forecast modelssurveying accuracy
spellingShingle Giuseppe Masetti
Michael J. Smith
Larry A. Mayer
John G. W. Kelley
Applications of the Gulf of Maine Operational Forecast System to Enhance Spatio-Temporal Oceanographic Awareness for Ocean Mapping
Frontiers in Marine Science
ocean mapping
underwater acoustics applications
oceanographic modeling
operational forecast models
surveying accuracy
title Applications of the Gulf of Maine Operational Forecast System to Enhance Spatio-Temporal Oceanographic Awareness for Ocean Mapping
title_full Applications of the Gulf of Maine Operational Forecast System to Enhance Spatio-Temporal Oceanographic Awareness for Ocean Mapping
title_fullStr Applications of the Gulf of Maine Operational Forecast System to Enhance Spatio-Temporal Oceanographic Awareness for Ocean Mapping
title_full_unstemmed Applications of the Gulf of Maine Operational Forecast System to Enhance Spatio-Temporal Oceanographic Awareness for Ocean Mapping
title_short Applications of the Gulf of Maine Operational Forecast System to Enhance Spatio-Temporal Oceanographic Awareness for Ocean Mapping
title_sort applications of the gulf of maine operational forecast system to enhance spatio temporal oceanographic awareness for ocean mapping
topic ocean mapping
underwater acoustics applications
oceanographic modeling
operational forecast models
surveying accuracy
url https://www.frontiersin.org/article/10.3389/fmars.2019.00804/full
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