Science in support of coastal ocean forecasting—part 1

Mey-Frémaux, Pierre de; Stanev, Emil V.; Kourafalou, Vassiliki H.

doi:10.1007/s10236-017-1048-1

Cited by 10 publications

(7 citation statements)

References 19 publications

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“…While having wider spatial and temporal coverage than observations, most ocean prediction systems relying on modeling on models are either academic applications or tools tailored for specific tasks, such as port operations or coastal management (González et al, 2008;Perivoliotis et al, 2011;De Mey et al, 2017). These models can provide pertinent information on body drift, such as the most probable direction, but the margins of uncertainty pose a serious limitation for an efficient search over vast areas of the ocean.…”

Section: Limitationsmentioning

confidence: 99%

When Tragedy Strikes: Potential Contributions From Ocean Observation to Search and Rescue Operations After Drowning Accidents

et al. 2020

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Drowning accidents followed by the disappearance of the body are particularly distressing events. When such tragedy strikes, Search and Rescue Operations are usually deployed to recover the body. The efficiency of such efforts can be enhanced by timely data and appropriate data integration tools, such as operational prediction systems relying on numerical models or other data sources. In this paper, we propose four stages for Search and Rescue Operations after drowning accidents and briefly address the critical role of ocean observations at each stage, as well as the relevancy of available computational resources. The potential of the combination of different data sources on the state of the sea to provide better insights is discussed. This work encourages oceanographers, data scientists and relevant marine stakeholders to produce knowledge and tools to support Search and Rescue Operations after drowning accidents.

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Section: Limitationsmentioning

confidence: 99%

When Tragedy Strikes: Potential Contributions From Ocean Observation to Search and Rescue Operations After Drowning Accidents

et al. 2020

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“…Coastal models and forecasting introduce new challenges. The issue of big data management, in terms of the exchange of large amounts of data for initial and lateral boundary condition updates, a highresolution bathymetry-topography mapping to allow for coastal inundation, and the data assimilation of local observations into the nested models (De Mey et al, 2017). These problems will be partially tackled by JCOMM coordination to establish best practices in the NMHS and responsible oceanographic institutions, but they will remain a research, development, and innovation challenge.…”

Section: Ocean Forecasting From the Global To The Regional Scalesmentioning

confidence: 99%

The Joint IOC (of UNESCO) and WMO Collaborative Effort for Met-Ocean Services

et al. 2019

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Pinardi et al. Marine Monitoring to Services resulting from the observations and data management. Future developments should enhance coordination in these three program areas by considering the inclusion of new and emergent observing technologies, the interoperability of met-ocean data assembly centers and the establishment of efficient research to operations protocols, in addition to better fit-for-purpose customized services in both the public and private sectors.

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“…The GOV Intercomparison and Validation Task Team, together with other task teams, is focusing on some of these issues and experimenting with several Class 1 and Class 4 metric approaches (Divakaran et al, 2015;Hernandez et al, 2015;Ryan et al, 2015). The GOV Coastal and Shelf Seas Task Team has proposed new approaches to the evaluation of regional operational systems (De Mey et al, 2017;Kourafalou et al, 2015), and highlighted coastal modelling, coastal observations, and nesting assessment issues. As part of the GOV 2017 summer school lectures, Mourre et al (2018) for the Balearic Sea OOFMS and Roughan et al (2018) for the New South Wales Australian coast integrated observing system, offered a comprehensive overview of regional assessment objectives, methods, and challenges of the operational ocean framework.…”

Section: Operational Oceanography Community Effort On Evaluation and Verificationmentioning

confidence: 99%

Measuring Performances, Skill and Accuracy in Operational Oceanography: New Challenges and Approaches

Hernández¹,

Smith²,

Baetens³

et al. 2018

New Frontiers in Operational Oceanography

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Operational oceanography is now established in many countries, focusing on global, regional, or coastal areas, and targeting different aspects of the « blue », « white » or « green » ocean processes in order to provide reliable information to users. There are nowadays a large variety of interests and users, with different disciplines and levels of expertise. Validation and verification of operational products and systems are evolving in order to anticipate user's needs, and better quantify the level of confidence on all these variety of ocean products. Operational oceanography evaluation development is in front of key issues: Ocean models are reaching the submesoscale description, which is currently not adequately observed; many products are available now for a given ocean variable, and often discrepancies are larger than similarities; real time forecasting systems are also challenged by reanalyses or reprocessed time series; operational systems are getting more complex, with coupled modelling, where errors from the different compartment need to be carefully addressed in order to measure their performance and provide further improvements. In parallel, the global ocean observing system is continuously completed with additional satellites in the constellation, with innovative sensors on new satellite missions, with efforts to better integrate the global, regional and coastal in-situ observing capabilities, and the design of new instrument, like the BGC-Argo that should bring an enhanced description of the ocean biogeochemical variability. This book chapter provides an overview of the existing, mature, validation and verification science in operational oceanography; discusses the ongoing efforts and new strategies; presents some of the structured groups and outcomes; and lists a series of challenges on the field.

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Science in support of coastal ocean forecasting—part 1

Cited by 10 publications

References 19 publications

When Tragedy Strikes: Potential Contributions From Ocean Observation to Search and Rescue Operations After Drowning Accidents

When Tragedy Strikes: Potential Contributions From Ocean Observation to Search and Rescue Operations After Drowning Accidents

The Joint IOC (of UNESCO) and WMO Collaborative Effort for Met-Ocean Services

Measuring Performances, Skill and Accuracy in Operational Oceanography: New Challenges and Approaches

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