Coupling hydrodynamic and wave models: first step and sensitivity experiments in the Mediterranean Sea

Clementi, Emanuela; Oddo, Paolo; Drudi, Massimiliano; Pinardi, Nadia; Κορρές, Γεράσιμος; Grandi, Alessandro

doi:10.1007/s10236-017-1087-7

Cited by 48 publications

(37 citation statements)

References 46 publications

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“…Med-PHY extends into the Atlantic Ocean to accurately resolve the dynamical exchange at the Gibraltar Strait, with boundary conditions provided by the CMEMS Global analysis and forecast system products. The upgrade to the increased horizontal resolution at 1/24 degree and the validation of the CMEMS product 1 is thoroughly described in Clementi et al (2017).…”

Section: The Mediterranean Sea Biogeochemical Analysis and Forecast Smentioning

confidence: 99%

“…The Mediterranean Sea Monitoring and Forecasting Centre (Med-MFC; Tonani et al, 2013) is one of the regional systems and it is composed by the physical system "Med-PHY" (Tonani et al, 2008;Oddo et al 2009), which drives the biogeochemical system "Med-BIO" (Lazzari et al, 2010(Lazzari et al, , 2012 and the wave system "Med-WAV" (Günther and Behrens, 2012). In the recent years, following the CMEMS requirements, the Med-MFC has been consistently upgraded in the physical (Oddo et al 2014;Clementi et al, 2017;Pistoia et al, 2018), wave (Zacharioudaki et al 2018) and biogeochemical components (Cossarini et al, 2015;Lazzari et al, 2016), also including data assimilation (Teruzzi et al, 2014;Storto et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

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Marine Ecosystem forecasts: skill performance of the CMEMS Mediterranean Sea model system

Salon

Cossarini

Bolzon

et al. 2019

Preprint

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Abstract. The quality of the upgraded version of the CMEMS biogeochemical operational system of the Mediterranean Sea (MedBFM) is assessed in terms of consistency and forecast skill, following a mixed validation protocol that exploits different reference data from satellite, oceanographic databases, Biogeochemical Argo floats, literature. We demonstrate that the GODAE metrics paradigm can be efficiently applied to validate an operational model system for biogeochemical and ecosystem forecasts. The accuracy of the CMEMS biogeochemical products for Mediterranean Sea can be achieved from basin-wide and seasonal scale to mesoscale and weekly scale, and its level depends on the specific variable and the availability of reference data. In particular, the use of the Biogeochemical Argo floats data allows for a relevant enhancement of the validation framework of operational biogeochemical models, providing new skill metrics for key biogeochemical processes and dynamics (e.g. deep chlorophyll maximum depth), which can be easily implemented to routinely monitor the quality of the products and highlight any possible anomaly.

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Section: The Mediterranean Sea Biogeochemical Analysis and Forecast Smentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Marine Ecosystem forecasts: skill performance of the CMEMS Mediterranean Sea model system

Salon

Cossarini

Bolzon

et al. 2019

Preprint

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“…For example, Clementi et al (2017) introduced a relatively reduced-complexity coupling of the mean momentum transfer of waves and wind speed stability parameter between WAVEWATCH III wave model (Tolman et al, 2004) and NEMO ocean 10 model codes. They demonstrated that for the Mediterranean Sea while the coupling was found to improve wave performance, there was limited impact on mean SST results over the 5-year study period.…”

Section: Introductionmentioning

confidence: 99%

Can wave coupling improve operational regional ocean forecasts for the North-West European Shelf?

Lewis¹,

Sanchez²,

Siddorn³

et al. 2018

Preprint

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Operational ocean forecasts are typically produced by modelling systems run using a forced mode approach. The evolution of the ocean state is not directly influenced by surface waves, and the ocean dynamics are driven by an external source of meteorological data which is independent of the ocean state. Model coupling provides one approach to increase the extent to which ocean forecast systems can represent the interactions and feedbacks between ocean, waves and the atmosphere seen in 15 nature. This paper demonstrates the impact of improving how the effect of waves on the momentum exchange across the ocean-atmosphere interface is represented through ocean-wave coupling on the performance of an operational regional ocean prediction system. This study focuses on the eddy-resolving (1.5 km resolution) Atlantic Margin Model (AMM15) ocean model configuration for the North-West European Shelf (NWS) region.A series of two-year duration forecast trials of the Copernicus Marine Environment Monitoring Service (CMEMS) North-20 West Shelf regional ocean prediction system are analysed. The impact of including ocean-wave feedbacks via dynamic coupling on the simulated ocean is discussed. The main interactions included are the modification of surface stress by wave growth and dissipation, Stokes-Coriolis forcing and wave height dependent ocean surface roughness. Given the relevance to operational forecasting, trials with and without ocean data assimilation are considered.Summary forecast metrics demonstrate that the ocean-wave coupled system is a viable evolution for future operational 25 implementation. When results are considered in more depth, wave coupling was found to result in an annual cycle of relatively warmer winter and cooler summer sea surface temperatures for seasonally stratified regions of the NWS. This is driven by enhanced mixing due to waves, and a deepening of the ocean mixed layer during summer. The impact of wave coupling is shown to be reduced within the mixed layer with assimilation of ocean observations. Evaluation of salinity and ocean currents against profile measurements in the German Bight demonstrates improved simulation with wave coupling relative to control 30 simulations. Further, evidence is provided of improvement to simulation of extremes of sea surface height anomalies relative to coastal tide gauges.Ocean Sci. Discuss., https://doi.

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“…It employs optimal interpolation of significant wave height from Jason 2 & 3, Saral and Cryosat-2 altimeters. The model also takes into account the effect of currents on waves (Komen et al, 1996;Clementi et al, 2017). To that end, surface currents 25 from corresponding CMEMS product (see Sect.…”

Section: Wavesmentioning

confidence: 99%

VISIR-I.b: waves and ocean currents for energy efficient navigation

Mannarini¹,

Carelli²

2019

Preprint

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VISIR-I.b, the latest development of the ship routing model published in Mannarini et al. (2016a), is here presented.The new model version targets large ocean-going vessels by accounting for both waves and ocean currents. In order to effectively use currents in a graph-search method, new equations are derived and validated versus analytical benchmarks.A case study is computed in the Atlantic Ocean, on a route from the Chesapeake Bay to the Mediterranean Sea and vice versa.Ocean analysis fields from data-assimilative models (for both ocean state and hydrodynamics) are employed. The impact of 5 waves and ocean currents on transatlantic crossings is assessed through mapping of the spatial variability of the routes, analysis of their kinematics, distribution of the optimal voyage duration vs. its length, and impact on the Energy Efficiency Operational Indicator of the International Maritime Organization. It is distinguished between sailing with or against the main ocean current.The seasonal dependence of the savings is evaluated, indicating, for the featured case study, larger savings during the summer crossings and larger intra-monthly variability in winter. The monthly-mean savings sum up to values between 3 and 12%, 10 while the contribution of ocean currents is between 1 and 4%. Also, several other ocean routes are considered, providing a pan-Atlantic scenario assessment of the potential gains in energy efficiency from optimal tracks and linking them to regional meteo-oceanographic features.

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Coupling hydrodynamic and wave models: first step and sensitivity experiments in the Mediterranean Sea

Cited by 48 publications

References 46 publications

Marine Ecosystem forecasts: skill performance of the CMEMS Mediterranean Sea model system

Marine Ecosystem forecasts: skill performance of the CMEMS Mediterranean Sea model system

Can wave coupling improve operational regional ocean forecasts for the North-West European Shelf?

VISIR-I.b: waves and ocean currents for energy efficient navigation

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