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Journal articles on the topic 'Met-Ocean'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 July 2025

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1

Süld, Jakob Kristoffer, Adil Rasheed, Jørn Kristiansen, Øyvind Sætra, Ana Carrasco, and Trond Kvamsdal. "Mesoscale Numerical Modelling of Met-ocean Interactions." Energy Procedia 80 (2015): 433–41. http://dx.doi.org/10.1016/j.egypro.2015.11.447.

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2

Xie, Hailun, and Lars Johanning. "A Hierarchical Met-Ocean Data Selection Model for Fast O&M Simulation in Offshore Renewable Energy Systems." Energies 16, no. 3 (2023): 1471. http://dx.doi.org/10.3390/en16031471.

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In this research, a hierarchical met-ocean data selection model is proposed to reduce the computational cost in stochastic simulation of operation and maintenance (O&M) and enable rapid evaluation of offshore renewable energy systems. The proposed model identifies the most representative data for each calendar month from the long-term historical met-ocean data in two steps, namely the preselection and the refined selection. The preselection incorporates three distinct metrics to evaluate the characteristics of statistical distributions, including the Jensen–Shannon divergence, the encapsul

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3

Guiavarc'h, Catherine, Jonah Roberts-Jones, Chris Harris, Daniel J. Lea, Andrew Ryan, and Isabella Ascione. "Assessment of ocean analysis and forecast from an atmosphere–ocean coupled data assimilation operational system." Ocean Science 15, no. 5 (2019): 1307–26. http://dx.doi.org/10.5194/os-15-1307-2019.

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Abstract. The development of coupled atmosphere–ocean prediction systems with utility on short-range numerical weather prediction (NWP) and ocean forecasting timescales has accelerated over the last decade. This builds on a body of evidence showing the benefit, particularly for weather forecasting, of more correctly representing the feedbacks between the surface ocean and atmosphere. It prepares the way for more unified prediction systems with the capability of providing consistent surface meteorology, wave and surface ocean products to users for whom this is important. Here we describe a coup

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4

Holst-Andersen, Jens Peter, Synnøve Lunde, David M. Moore, et al. "Impact of Arctic Met ocean Conditions on Oil Spill Response: Results of the First Circumpolar Response Viability Analysis." International Oil Spill Conference Proceedings 2017, no. 1 (2017): 2017172. http://dx.doi.org/10.7901/2169-3358-2017.1.000172.

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There is widespread recognition that Arctic conditions can challenge marine oil spill response by limiting countermeasure effectiveness and, in extreme cases, even preventing their use. The Arctic Council's Emergency Prevention, Preparedness, and Response (EPPR) Workgroup implemented a response viability analysis to estimate how often different types of response systems could be deployed in different areas of the Arctic based on historical met ocean conditions. This approach, implemented previously in several circumpolar sub-regions, quantifies the effects of met ocean conditions on response t

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Araya-Lopez, Jose Luis, Nikolay O. Nikitin, and Anna V. Kaluzhnaya. "Case-adaptive ensemble technique for met-ocean data restoration." Procedia Computer Science 136 (2018): 311–20. http://dx.doi.org/10.1016/j.procs.2018.08.283.

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6

Yousefi, Kianoosh, Gurpreet S. Hora, Hongshuo Yang, and Marco Giometto. "Data-driven met-ocean model for offshore wind energy applications." Journal of Physics: Conference Series 2767, no. 5 (2024): 052005. http://dx.doi.org/10.1088/1742-6596/2767/5/052005.

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Abstract In recent years, the global transition towards green energy, driven by environmental concerns and increasing electricity demands, has remarkably reshaped the energy landscape. The transformative potential of marine wind energy is particularly critical in securing a sustainable energy future. To achieve this objective, it is essential to have an accurate understanding of wind dynamics and their interactions with ocean waves for the proper design and operation of offshore wind turbines (OWTs). The accuracy of met-ocean models depends critically on their ability to correctly capture sea-

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7

Hadi, Nomtha. "An Exploratory Review of Maritime Education and Training Through Collaborative Innovation Ecosystems: A Case for South Africa." South African Journal of Maritime Education and Training 3 (2024): 15–30. https://doi.org/10.47348/sajmet/2024/i1a2.

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The aim of the United Nations Decade of Ocean Science for Sustainable Development, the ‘Ocean Decade’ (2021–2030) is to trigger the maritime education, training and ocean knowledge revolution needed to promote sustainable maritime economies. Achieving sustainable maritime growth requires identifying critical ocean priorities and promoting training, research capabilities and knowledge that will unlock the potential of science, education and innovation. The maritime industry is vast, complex and everchanging, and requires innovative, collaborative and solutions-oriented maritime education and tr

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8

Erfanda, Alfian, and Supriyatno Widagdo. "KARAKTER PARAMETER METEO-OSEANOGRAFI DAN PENGARUHNYA TERHADAP DISTRIBUSI SALINITAS DI PERAIRAN UTARA DAN SELATAN JAWA TIMUR." Jurnal Riset Kelautan Tropis (Journal of Tropical Marine Research) (J-Tropimar) 2, no. 1 (2020): 1. http://dx.doi.org/10.30649/jrkt.v2i1.35.

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<p>Curah hujan merupakan unsur iklim yang sangat penting dalam siklus hidrologi. Untuk mengetahui parameter pendukung curah hujan yang lebih kompleks maka dilakukan analisis parameter Met-Ocean antara perairan Utara dan Selatan Jawa. Penelitian ini penting mengingat pulau Jawa merupakan pusat perekonomian,pertanian serta perikanan di Indonesia sehingga memiliki kaitan yang erat dengan perubahan curah hujan dan berkaitan dengan perubahan salinitas yang merupakan salah satu parameter penunjuk terjadinya upwelling yang berpengaruh pada faktor kesuburan dan pertumbuhan di sektor perikanan. U

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9

Bitner-Gregersen, Elzbieta M. "Joint met-ocean description for design and operations of marine structures." Applied Ocean Research 51 (June 2015): 279–92. http://dx.doi.org/10.1016/j.apor.2015.01.007.

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10

Martini, Michele, Raúl Guanche, José A. Armesto, Iñigo J. Losada, and César Vidal. "Met-ocean conditions influence on floating offshore wind farms power production." Wind Energy 19, no. 3 (2015): 399–420. http://dx.doi.org/10.1002/we.1840.

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11

Dighe, V. V., and Y. Liu. "Advancing weather predictions for offshore wind farm maintenance through deep learning." Journal of Physics: Conference Series 2767, no. 9 (2024): 092091. http://dx.doi.org/10.1088/1742-6596/2767/9/092091.

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Abstract Historical met-ocean data are widely used in the decision support tools to evaluate different operations & maintenance (O&M) strategies for offshore wind energy. Although effective, they are often very limited, which may not be able to represent prolonged offshore weather conditions at the wind farm sites. This hinders their application to the O&M planning. In this paper, a deep learning approach is proposed to build up the stochastic weather generator, in which the long short-term memory neural network is leveraged to simulate wind and wave time series data. The neural ne

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12

Hsu, Shih-Ang. "Estimating Met-Ocean Parameters during a Tropical Cyclone for Marine Science and Engineering." Journal of Energy and Power Technology 03, no. 02 (2021): 1. http://dx.doi.org/10.21926/jept.2102025.

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During a tropical cyclone (TC) worldwide, the Regional and Mesoscale Meteorological Branch (RAMMB) of NOAA/NESDIS (http://rammb.cira.colostate.edu/) issues real-time TC surface wind analyses. The purpose of this article is to provide value-added estimations of several meteorological and oceanographic (met-ocean) parameters including overwater friction velocity and turbulence intensity, variation of the wind speed with height, significant wave height, peak or dominant wave period, wind-driven currents and wind-stress tides. Since these proposed value-added parameters are also validated by other

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13

Takimoto, Tomoki. "Case Study of Compare Maritime and Ocean Educational Style for under MET." TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation 15, no. 1 (2021): 101–7. http://dx.doi.org/10.12716/1001.15.01.09.

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14

Hübler, Clemens, Franziska Müller, and Raimund Rolfes. "Polymorphic uncertainty in met-ocean conditions and the influence on fatigue loads." Journal of Physics: Conference Series 1669 (October 2020): 012005. http://dx.doi.org/10.1088/1742-6596/1669/1/012005.

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15

Chiri, Helios, Ana Julia Abascal, and Sonia Castanedo. "Deep oil spill hazard assessment based on spatio-temporal met-ocean patterns." Marine Pollution Bulletin 154 (May 2020): 111123. http://dx.doi.org/10.1016/j.marpolbul.2020.111123.

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16

Siddorn, J. R., S. A. Good, C. M. Harris, et al. "Research priorities in support of ocean monitoring and forecasting at the Met Office." Ocean Science 12, no. 1 (2016): 217–31. http://dx.doi.org/10.5194/os-12-217-2016.

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Abstract. Ocean monitoring and forecasting services are increasingly being used by a diverse community of public and commercial organizations. The Met Office, as the body responsible for severe weather prediction, has for many years been involved in providing forecasts of aspects of the marine environment. This paper describes how these have evolved to include a range of wave, surge, and ocean reanalysis, analysis, and forecasts services. To support these services, and to ensure they evolve to meet the demands of users and are based on the best available science, a number of scientific challen

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Siddorn, J. R., S. A. Good, C. M. Harris, et al. "Research priorities in support of ocean monitoring and forecasting at the Met Office." Ocean Science Discussions 12, no. 6 (2015): 2617–53. http://dx.doi.org/10.5194/osd-12-2617-2015.

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Abstract. Ocean monitoring and forecasting services are increasingly being used by a diverse community of public and commercial organisations. The Met Office, as the body responsible for severe weather prediction, has for many years been involved in providing forecasts of aspects of the marine environment. This paper describes how these have evolved to include a range of wave, surge and ocean reanalysis, analysis and forecasts services. To support these services, and to ensure they evolve to meet the demands of users and are based on the best available science, a number of scientific challenge

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18

Dang, Hai Van, Suchan Joo, Junhyeok Lim, Jinhwan Hur, and Sungwon Shin. "Numerical Model Test of Spilled Oil Transport Near the Korean Coasts Using Various Input Parametric Models." Journal of Ocean Engineering and Technology 38, no. 2 (2024): 64–73. http://dx.doi.org/10.26748/ksoe.2024.043.

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Oil spills pose significant threats to marine ecosystems, human health, socioeconomic aspects, and coastal communities. Accurate real-time predictions of oil slick transport along coastlines are paramount for quick preparedness and response efforts. This study used an open-source OpenOil numerical model to simulate the fate and trajectories of oil slicks released during the 2007 Hebei Spirit accident along the Korean coasts. Six combinations of input parameters, derived from a five-day met-ocean dataset incorporating various hydrodynamic, meteorological, and wave models, were investigated to d

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19

Ananda Rizki Taruna, Supriyatno Widagdo, and Eko Prasetyo. "KAITAN FASE IOD DENGAN FAKTOR MET-OCEAN DI PERAIRAN BARAT DAN SELATAN SUMATERA." Jurnal Riset Kelautan Tropis (Journal Of Tropical Marine Research) (J-Tropimar) 1, no. 1 (2021): 42–53. http://dx.doi.org/10.30649/jrkt.v1i1.42-53.

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Tujuan kajian ini adalah untuk identifikasi fase Indian Ocean Dipole (IOD), yang dipakai untuk mengetahui keterkaitan interaksi antara faktor meteorologi dan oseanografi. Identifikasi menggunakan korelasi Pearson, sedangkan analisis spasial menggunakan Inverse Distance Weight (IDW). Kajian dilakukan di Perairan Barat dan Selatan Sumatera. Fase IOD tahun 2015 dan 2010 terjadi 2 kali fase. Fase IOD negatif (-) normal tahun 2015 selama 2 periode yakni Februari-Maret, IOD positif (+) selama 10 periode dan IOD positif lemah terjadi selama 6 periode mulai Juni hingga November. Tahun 2010 kejadian IO

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20

Taruna, Ananda Rizki, Supriyatno Widagdo, and Eko Prasetyo. "KAITAN FASE IOD DENGAN FAKTOR MET-OCEAN DI PERAIRAN BARAT DAN SELATAN SUMATERA." Jurnal Riset Kelautan Tropis (Journal of Tropical Marine Research) (J-Tropimar) 1, no. 1 (2019): 41. http://dx.doi.org/10.30649/jrkt.v1i1.21.

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Tujuan kajian ini adalah untuk identifikasi fase Indian Ocean Dipole (IOD), yang dipakai untuk mengetahui keterkaitan interaksi antara faktor meteorologi dan oseanografi. Identifikasi menggunakan korelasi Pearson, sedangkan analisis spasial menggunakan Inverse Distance Weight (IDW). Kajian dilakukan di Perairan Barat dan Selatan Sumatera. Fase IOD tahun 2015 dan 2010 terjadi 2 kali fase. Fase IOD negatif (-) normal tahun 2015 selama 2 periode yakni Februari-Maret, IOD positif (+) selama 10 periode dan IOD positif lemah terjadi selama 6 periode mulai Juni hingga November. Tahun 2010 kejadian IO

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21

Scott, V., H. Kettle, and C. J. Merchant. "Sensitivity analysis of an Ocean Carbon Cycle Model in the North Atlantic: an investigation of parameters affecting the air-sea CO<sub>2</sub> flux, primary production and export of detritus." Ocean Science Discussions 7, no. 6 (2010): 1977–2012. http://dx.doi.org/10.5194/osd-7-1977-2010.

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Abstract. The sensitivity of the biological parameters in a nutrient-phytoplankton-zooplankton-detritus (NPZD) model in the calculation of the air-sea CO2 flux, primary production and detrital export is analysed. The NPZD model is the Hadley Centre Ocean Carbon Cycle model (HadOCC) from the UK Met Office, used in the Hadley Centre Coupled Model 3 (HadCM3) and FAst Met Office and Universities Simulator (FAMOUS) GCMs. Here, HadOCC is coupled to the 1-D General Ocean Turbulence Model (GOTM) and forced with European Centre for Medium-Range Weather Forecasting meteorology to undertake a sensitivity

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22

Blockley, E. W., M. J. Martin, A. J. McLaren, et al. "Recent development of the Met Office operational ocean forecasting system: an overview and assessment of the new Global FOAM forecasts." Geoscientific Model Development 7, no. 6 (2014): 2613–38. http://dx.doi.org/10.5194/gmd-7-2613-2014.

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Abstract. The Forecast Ocean Assimilation Model (FOAM) is an operational ocean analysis and forecast system run daily at the Met Office. FOAM provides modelling capability in both deep ocean and coastal shelf sea regimes using the NEMO (Nucleus for European Modelling of the Ocean) ocean model as its dynamical core. The FOAM Deep Ocean suite produces analyses and 7-day forecasts of ocean tracers, currents and sea ice for the global ocean at 1/4° resolution. Satellite and in situ observations of temperature, salinity, sea level anomaly and sea ice concentration are assimilated by FOAM each day o

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23

Blockley, Ed, Emma Fiedler, Jeff Ridley, et al. "The sea ice component of GC5: coupling SI³ to HadGEM3 using conductive fluxes." Geoscientific Model Development 17, no. 17 (2024): 6799–817. http://dx.doi.org/10.5194/gmd-17-6799-2024.

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Abstract. We present an overview of the UK's Global Sea Ice model configuration version 9 (GSI9), the sea ice component of the latest Met Office Global Coupled model, GC5. The GC5 configuration will, amongst other uses, form the physical basis for the HadGEM3 (Hadley Centre Global Environment Model version 3) climate model and UKESM2 (UK Earth System Model version 2) Earth system model that will provide the Met Office Hadley Centre/UK model contributions to CMIP7 (Coupled Model Intercomparison Project Phase 7). Although UK ocean model configurations have been developed for many years around th

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24

Li, Guangzhen, and Zilong Li. "Reaction of Japanese media to discharging Fukushima nuclear waste water into ocean and the analysis----taking relevant reports of Japanese media as examples." IOP Conference Series: Earth and Environmental Science 1087, no. 1 (2022): 012004. http://dx.doi.org/10.1088/1755-1315/1087/1/012004.

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Abstract Japanese government published the decision that the stored nuclear waste water in Fukushima Daiichi Nuclear Power Plant would be discharged into ocean, which met with violent objection from surrounding countries. Japanese domestic media reported in succession, and expressed a strong disagreement. And Fukushima local media were full of worries. They believed that local life and fishery production would be influenced for long. Being made a general observation of Japanese media, million tons of treated nuclear waste water discharged into ocean would be quite harmful to the environment. J

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Mignac, Davi, Jennifer Waters, Daniel J. Lea, et al. "Improvements to the Met Office's global ocean–sea ice forecasting system including model and data assimilation changes." Geoscientific Model Development 18, no. 11 (2025): 3405–25. https://doi.org/10.5194/gmd-18-3405-2025.

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Abstract. The Forecast Ocean Assimilation Model (FOAM) is the Met Office's operational, coupled ocean–sea ice system, which produces analyses and short-range forecasts at global and regional scales each day for various stakeholders, including defence, marine navigation and science users. This paper describes and evaluates the impacts of recent model and data assimilation (DA) updates on global FOAM when compared to its current operational version. The model updates include the use of the TEOS10 formulation for the seawater equation of state, with improved ocean model settings in the Southern O

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Rusciano, Emanuela, Mathieu Belbéoch, Victor Turpin, et al. "Odyssey Project: Contributing Actively to the Implementation of the Global Ocean Observing System." Marine Technology Society Journal 56, no. 3 (2022): 132–33. http://dx.doi.org/10.4031/mtsj.56.3.27.

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Abstract The Odyssey Project coordinated by OceanOPS, joint center of the World Meteorological Organization and the Intergovernmental Oceanographic Commission of UNESCO, will support and involve civil society, including citizens, sailors, businesses, etc., in observing the ocean and the atmosphere above it to contribute to the Global Ocean Observing System (GOOS) implementation.As the global population is set to reach more than 9 billion people by 2050, impacts on the ocean associated with human activities will escalate. Understanding the variability and trends of the ocean and the related imp

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O'Dea, Enda, Rachel Furner, Sarah Wakelin, et al. "The CO5 configuration of the 7 km Atlantic Margin Model: large-scale biases and sensitivity to forcing, physics options and vertical resolution." Geoscientific Model Development 10, no. 8 (2017): 2947–69. http://dx.doi.org/10.5194/gmd-10-2947-2017.

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Abstract. We describe the physical model component of the standard Coastal Ocean version 5 configuration (CO5) of the European north-west shelf (NWS). CO5 was developed jointly between the Met Office and the National Oceanography Centre. CO5 is designed with the seamless approach in mind, which allows for modelling of multiple timescales for a variety of applications from short-range ocean forecasting to climate projections. The configuration constitutes the basis of the latest update to the ocean and data assimilation components of the Met Office's operational Forecast Ocean Assimilation Mode

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Blockley, E. W., M. J. Martin, A. J. McLaren, et al. "Recent development of the Met Office operational ocean forecasting system: an overview and assessment of the new Global FOAM forecasts." Geoscientific Model Development Discussions 6, no. 4 (2013): 6219–78. http://dx.doi.org/10.5194/gmdd-6-6219-2013.

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Abstract. The Forecast Ocean Assimilation Model (FOAM) is an operational ocean analysis and forecast system run daily at the Met Office. FOAM provides modelling capability in both deep ocean and coastal shelf seas regimes using the NEMO ocean model as its dynamical core. The FOAM Deep Ocean suite produces analyses and 7 day forecasts of ocean tracers, currents and sea ice for the global ocean at 1/4° resolution and at 1/12° resolution in the North Atlantic, Indian Ocean and Mediterranean Sea. Satellite and in-situ observations of temperature, salinity, sea level anomaly and sea ice concentrati

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29

Megann, A., D. Storkey, Y. Aksenov, et al. "GO5.0: the joint NERC–Met Office NEMO global ocean model for use in coupled and forced applications." Geoscientific Model Development 7, no. 3 (2014): 1069–92. http://dx.doi.org/10.5194/gmd-7-1069-2014.

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Abstract. We describe a new Global Ocean standard configuration (GO5.0) at eddy-permitting resolution, developed jointly between the National Oceanography Centre and the Met Office as part of the Joint Ocean Modelling Programme (JOMP), a working group of the UK's National Centre for Ocean Forecasting (NCOF) and part of the Joint Weather and Climate Research Programme (JWCRP). The configuration has been developed with the seamless approach to modelling in mind for ocean modelling across timescales and for a range of applications, from short-range ocean forecasting through seasonal forecasting t

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King, Robert R., Matthew J. Martin, Lucile Gaultier, Jennifer Waters, Clément Ubelmann, and Craig Donlon. "Assessing the impact of future altimeter constellations in the Met Office global ocean forecasting system." Ocean Science 20, no. 6 (2024): 1657–76. https://doi.org/10.5194/os-20-1657-2024.

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Abstract. Satellite altimeter measurements of sea surface height (SSH) are a crucial component of current operational ocean forecasting systems. The launch of the Surface Water and Ocean Topography (SWOT) wide-swath altimeter (WiSA) mission is bringing a step change in our observing capacity with 2D mesoscale structures now able to be observed over the global ocean. Proposals are now being considered for the make-up of the future altimeter constellation. In this study we use Observing System Simulation Experiments (OSSEs) to compare the impact of additional altimeter observations from two prop

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Keramea, Panagiota, Nikolaos Kokkos, Georgios D. Gikas, and Georgios Sylaios. "Operational Modeling of North Aegean Oil Spills Forced by Real-Time Met-Ocean Forecasts." Journal of Marine Science and Engineering 10, no. 3 (2022): 411. http://dx.doi.org/10.3390/jmse10030411.

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Over the latest decades, oil marine pollution has posed a vital threat for global ocean health, since spillages of any scale are related to environmental, social and financial impacts. The worldwide increase in oil and gas demand, and the parallel rise in oil and gas production, exploiting particularly coastal and offshore marine deposits, have significantly increased the risk of accidental oil release to the sea. In the present study, an operational oil spill model was applied to test the oil dispersive properties and to reveal the relative magnitude of weathering processes, after an accident

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Fazeres-Ferradosa, Tiago, Francisco Taveira-Pinto, Erik Vanem, Maria Teresa Reis, and Luciana das Neves. "Asymmetric copula–based distribution models for met-ocean data in offshore wind engineering applications." Wind Engineering 42, no. 4 (2018): 304–34. http://dx.doi.org/10.1177/0309524x18777323.

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Joint statistical models for long-term wave climate are a key aspect of offshore wind engineering design. However, to find a joint model for sea-state characteristics is often difficult due to the complex nature of the wave climate and the physical constraints of sea-states phenomena. The available records of wave heights and periods are often very asymmetric in their nature. This article presents a copula-based approach to obtain the joint cumulative distribution function of the significant wave heights and the up-crossing mean period. This study is based on 124-month hindcast data concerning

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Rasheed, Adil, Jakob Kristoffer Süld, Mandar Tabib, Trond Kvamsdal, and Jørn Kristiansen. "Demonstrating the impact of bidirectional coupling on the performance of an ocean-met model." Energy Procedia 137 (October 2017): 443–51. http://dx.doi.org/10.1016/j.egypro.2017.10.368.

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Solari, Sebastián, and Miguel Ángel Losada. "Unified distribution models for met-ocean variables: Application to series of significant wave height." Coastal Engineering 68 (October 2012): 67–77. http://dx.doi.org/10.1016/j.coastaleng.2012.05.004.

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35

Megann, A., D. Storkey, Y. Aksenov, et al. "GO5.0: The joint NERC-Met Office NEMO global ocean model for use in coupled and forced applications." Geoscientific Model Development Discussions 6, no. 4 (2013): 5747–99. http://dx.doi.org/10.5194/gmdd-6-5747-2013.

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Abstract. We describe a new Global Ocean standard configuration (GO5.0) at eddy-permitting resolution, developed jointly between the National Oceanography Centre and the Met Office as part of the Joint Ocean Modelling Programme (JOMP). This programme is a working group of the UK's National Centre for Ocean Forecasting (NCOF) and part of the Joint Weather and Climate Research Programme (JWCRP). The configuration has been developed with the seamless approach to modelling in mind for ocean modelling across timescales and for a range of applications, from short-range ocean forecasting through seas

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36

Finnigan, Timothy D. "Wave and tidal energy: the potential for extraction of sustainable energy from the ocean." Proceedings of the Royal Society of Victoria 126, no. 2 (2014): 34. http://dx.doi.org/10.1071/rs14033.

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The ocean represents an enormous store of renewable energy – far more than could ever be used by the global population. The challenge is: how do we go about extracting this energy in a sustainable and economical way? It is the sun and the moon that give us this energy, in the form of waves, tides and thermal gradients. The amount of energy stored in the ocean, and continually replenished by the sun and moon, is well quantified, and certifiably massive. Despite decades of effort, attempts to extract meaningful quantities of energy from these ocean sources continue to be met with monumental chal

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Liu, Yang, Jisk Attema, Ben Moat, and Wilco Hazeleger. "Synthesis and evaluation of historical meridional heat transport from midlatitudes towards the Arctic." Earth System Dynamics 11, no. 1 (2020): 77–96. http://dx.doi.org/10.5194/esd-11-77-2020.

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Abstract. Meridional energy transport (MET), both in the atmosphere (AMET) and ocean (OMET), has significant impact on the climate in the Arctic. In this study, we quantify AMET and OMET at subpolar latitudes from six reanalysis data sets. We investigate the differences between the data sets and we check the coherence between MET and the Arctic climate variability at interannual timescales. The results indicate that, although the mean transport in all data sets agrees well, the spatial distributions and temporal variations of AMET and OMET differ substantially among the reanalysis data sets. F

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Kang, Minhyeop, Kyungnam Ko, and Minyeong Kim. "Verification of the Reliability of Offshore Wind Resource Prediction Using an Atmosphere–Ocean Coupled Model." Energies 13, no. 1 (2020): 254. http://dx.doi.org/10.3390/en13010254.

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An atmosphere–ocean coupled model is proposed as an optimal numerical prediction method for the offshore wind resource. Meteorological prediction models are mainly used for wind speed prediction, with active studies using atmospheric models. Seawater mixing occurring at sea due to solar radiation and wind intensity can significantly change the sea surface temperature (SST), an important variable for predicting wind resources and energy production, considering its wind effect, within a short time. This study used the weather research forecasting and ocean mixed layer (WRF-OML) model, an atmosph

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Signell, R. P., and E. Camossi. "Technical note: Harmonizing met-ocean model data via standard web services within small research groups." Ocean Science Discussions 12, no. 6 (2015): 2655–82. http://dx.doi.org/10.5194/osd-12-2655-2015.

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Abstract. Work over the last decade has resulted in standardized web-services and tools that can significantly improve the efficiency and effectiveness of working with meteorological and ocean model data. While many operational modelling centres have enabled query and access to data via common web services, most small research groups have not. The penetration of this approach into the research community, where IT resources are limited, can be dramatically improved by: (1) making it simple for providers to enable web service access to existing output files; (2) using technology that is free, an

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Chiri, Helios, Ana Julia Abascal, Sonia Castanedo, and Raul Medina. "Mid-long term oil spill forecast based on logistic regression modelling of met-ocean forcings." Marine Pollution Bulletin 146 (September 2019): 962–76. http://dx.doi.org/10.1016/j.marpolbul.2019.07.053.

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Wang, Yiyang, Xiaonan Zhang, and Yuhan Guo. "Predicting estimated time of arrival for ships: A frequency-based approach considering met-ocean factors." Ocean Engineering 337 (October 2025): 121873. https://doi.org/10.1016/j.oceaneng.2025.121873.

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Krylov, Artem A., Ivan V. Egorov, Sergey A. Kovachev, et al. "Ocean-Bottom Seismographs Based on Broadband MET Sensors: Architecture and Deployment Case Study in the Arctic." Sensors 21, no. 12 (2021): 3979. http://dx.doi.org/10.3390/s21123979.

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The Arctic seas are now of particular interest due to their prospects in terms of hydrocarbon extraction, development of marine transport routes, etc. Thus, various geohazards, including those related to seismicity, require detailed studies, especially by instrumental methods. This paper is devoted to the ocean-bottom seismographs (OBS) based on broadband molecular–electronic transfer (MET) sensors and a deployment case study in the Laptev Sea. The purpose of the study is to introduce the architecture of several modifications of OBS and to demonstrate their applicability in solving different t

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Hardman-Mountford, Nicholas J., Gerald Moore, Dorothee C. E. Bakker, et al. "An operational monitoring system to provide indicators of CO2-related variables in the ocean." ICES Journal of Marine Science 65, no. 8 (2008): 1498–503. http://dx.doi.org/10.1093/icesjms/fsn110.

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Abstract Hardman-Mountford, N. J., Moore, G., Bakker, D. C. E., Watson, A. J., Schuster, U., Barciela, R., Hines, A., Moncoiffé, G., Brown, J., Dye, S., Blackford, J., Somerfield, P. J., Holt, J., Hydes, D. J., and Aiken, J. 2008. An operational monitoring system to provide indicators of CO2-related variables in the ocean. – ICES Journal of Marine Science, 65: 1498–1503. Demand by governments and scientists is increasing for indicators of CO2-related variables for the ocean. We describe a recent project, CARBON-OPS, during which a “supply chain” was developed for automated measurement of pCO2

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Tuchkova, Natalia Pavlovna, Konstantin Pavlovich Belyaev, and Gury Mickailovich Mikhailov. "Stochastic Analysis of «Ocean-Atmosphere» Heat Fluxes in the North Atlantic." Russian Digital Libraries Journal 27, no. 1 (2024): 115–26. https://doi.org/10.26907/1562-5419-2024-27-1-115-126.

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Observational data from the North Atlantic over 40 years of the NAAD project were analyzed. The total heat flux from the ocean to the atmosphere (and from the atmosphere to the ocean) was considered as the sum of latent and sensible heat. The coefficients of the stochastic differential equation representing the stochastic process were statistically determined from the original data set. Previously, the existence and uniqueness of a solution in the strong sense of the stochastic differential equation generated by the constructed diffusion process was proven when Kolmogorov's conditions were met

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Lea, D. J., I. Mirouze, M. J. Martin, et al. "Assessing a New Coupled Data Assimilation System Based on the Met Office Coupled Atmosphere–Land–Ocean–Sea Ice Model." Monthly Weather Review 143, no. 11 (2015): 4678–94. http://dx.doi.org/10.1175/mwr-d-15-0174.1.

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Abstract A new coupled data assimilation (DA) system developed with the aim of improving the initialization of coupled forecasts for various time ranges from short range out to seasonal is introduced. The implementation here is based on a “weakly” coupled data assimilation approach whereby the coupled model is used to provide background information for separate ocean–sea ice and atmosphere–land analyses. The increments generated from these separate analyses are then added back into the coupled model. This is different from the existing Met Office system for initializing coupled forecasts, whic

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Szabó, Roland Z., and Borbála Szedmák. "The Value Innovation of Symphony Orchestras and the Triggering Effect of Coronavirus." Theory, Methodology, Practice 16, no. 2 (2020): 89–95. http://dx.doi.org/10.18096/tmp.2020.02.09.

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The current coronavirus situation both gives an opportunity to the organizations and forces them to change and rethink fundamentally their business models. The pandemic causes an extremely difficult situation for symphony orchestras, as they have to cancel their performances and redefine how to reach their audience. Either they follow a Red Ocean Strategy and lose significant revenue or develop a Blue Ocean Strategy and prosper. The Blue Ocean Strategy involves a value innovation that can be achieved by four actions (eliminate, reduce, raise, create) and taking advantage of the opportunities o

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Cole, Rick, Scott Duncan, Felix Jose, Anju Kaur, and Jeffery Kinder. "“SeaWARRDD”: Coastal Warning and Rapid Response Data Density: Rethinking Coastal Ocean Observing, Intelligence, Resilience, and Prediction." Marine Technology Society Journal 56, no. 6 (2022): 75–86. http://dx.doi.org/10.4031/mtsj.56.6.4.

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Abstract Florida has a rich coastal and offshore biodiversity and ecology, and its low-lying geography with three dynamic coastlines is unique in many respects. Millions of people are attracted to visit, live, and work in the region. The same unique qualities make Florida highly exposed to impact-weather events, climate change, sea level rise, and environmental interference from exploding population growth over the last few decades. Environmental conditions must be monitored, baselines formed, and advanced circulation and ecosystem models created and verified (in-situ). The SeaWARRDD team disc

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Hewitt, Helene T., Malcolm J. Roberts, Pat Hyder, et al. "The impact of resolving the Rossby radius at mid-latitudes in the ocean: results from a high-resolution version of the Met Office GC2 coupled model." Geoscientific Model Development 9, no. 10 (2016): 3655–70. http://dx.doi.org/10.5194/gmd-9-3655-2016.

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Abstract. There is mounting evidence that resolving mesoscale eddies and western boundary currents as well as topographically controlled flows can play an important role in air–sea interaction associated with vertical and lateral transports of heat and salt. Here we describe the development of the Met Office Global Coupled Model version 2 (GC2) with increased resolution relative to the standard model: the ocean resolution is increased from 1/4 to 1/12° (28 to 9 km at the Equator), the atmosphere resolution increased from 60 km (N216) to 25 km (N512) and the coupling period reduced from 3 hourl

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Osbrough, S. L., J. S. Frederiksen, and C. S. Frederiksen. "The effects of model climate bias on ENSO variability and ensemble prediction." ANZIAM Journal 60 (October 18, 2019): C215—C230. http://dx.doi.org/10.21914/anziamj.v60i0.14092.

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New methods are presented for determining the role of coupled ocean-atmosphere model climate bias on the strength and variability of the El Nino-Southern Oscillation (ENSO) and on the seasonal ensemble prediction of El Nino and La Nina events. An intermediate complexity model with a global atmosphere coupled to a Pacific basin ocean is executed with parallelised algorithms to produce computationally efficient year-long forecasts of large ensembles of coupled flow fields, beginning every month between 1980 and 1999. Firstly, the model is provided with forcing functions that reproduce the averag

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Stranne, Christian, Larry Mayer, Martin Jakobsson, et al. "Acoustic mapping of mixed layer depth." Ocean Science 14, no. 3 (2018): 503–14. http://dx.doi.org/10.5194/os-14-503-2018.

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Abstract. The ocean surface mixed layer is a nearly universal feature of the world oceans. Variations in the depth of the mixed layer (MLD) influences the exchange of heat, fresh water (through evaporation), and gases between the atmosphere and the ocean and constitutes one of the major factors controlling ocean primary production as it affects the vertical distribution of biological and chemical components in near-surface waters. Direct observations of the MLD are traditionally made by means of conductivity, temperature, and depth (CTD) casts. However, CTD instrument deployment limits the obs

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