Performance of offline passive tracer advection in the Regional Ocean Modeling System (ROMS; v3.6, revision 904)

Thyng, Kristen M.; Kobashi, Daijiro; Xomchuk, Veronica Ruiz; Qu, Lixin; Chen, Xu; Hetland, Robert D.

doi:10.5194/gmd-14-391-2021

Cited by 7 publications

(5 citation statements)

References 27 publications

(26 reference statements)

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“…In fact, the initial condition for the bottom temperature in HYCOM is somehow higher (about 4°C) than the observed value in the field if Figures 3a and 3b are compared. To correct this system error, the real-time profile obtained from RU16 is used for a nudging process in computation, i.e., the model temperature and salinity fields are forced to nudge toward observed data (see Thyng et al (2021) for detailed description). The sea surface temperatures (SST) before and after the hurricane event are further compared in Figure 4 (obtained from The Advanced Very High Resolution Radiometer (AVHRR), https://earth.esa.int/eogateway/catalog/avhrr-level-1b-local-areacoverage-imagery).…”

Section: Effect Of Hurricane On Vertical Stratification and Sea Surfa...mentioning

confidence: 99%

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A Numerical Study of Near Inertial Motions in Mid-Atlantic Bight Area Induced by Hurricane Irene (2011)

Han

2022

Preprint

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Abstract. Hurricane Irene generated strong near inertial currents (NICs) in the ocean waters when passing over the Mid-Atlantic Bight (MAB) of the U. S. East Coast in late August 2011. It is demonstrated that a combination of the valuable field data with detailed model results can be exploited to study the development and decay mechanism of this event. Numerical results obtained with regional oceanic modeling system (ROMS) are shown to agree well with the field data. Both computed and observed results show that the NICs were significant in most areas of the MAB region except in the nearshore area where the stratification was totally destroyed by the hurricane-induced strong mixing. Based on the energy budget, it is clarified that the near inertial kinetic energy (NIKE) was mainly gained from the wind power during the hurricane event. In the deep water region, NIKE was basically balanced by the vertical turbulence diffusion (40 %) and downward divergence (33 %). While in the continental shelf region, NIKE was mainly dissipated by the vertical turbulence diffusion (67 %) and partially by the bottom friction (24 %). Local dissipation of NIKE due to turbulence diffusion is much more closely related to the rate of the vertical shear rather than the intensity of turbulence. The strong vertical shear at the offshore side of the continental shelf leaded to a rapid dissipation of NIKE in this region.

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Section: Effect Of Hurricane On Vertical Stratification and Sea Surfa...mentioning

confidence: 99%

“…CC BY 4.0 License. obtained from AVHRR for nudging process in computation to correct this system error (Thyng et al, 2021). Note that the error is mainly caused by the discrepancy in initial settings but not the defects in numerical method.…”

Section: Effect Of Hurricane On Vertical Stratification and Sea Surfa...mentioning

confidence: 99%

A Numerical Study of Near Inertial Motions in Mid-Atlantic Bight Area Induced by Hurricane Irene (2011)

Han

2022

Preprint

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“…3a and b are compared. To correct this system error, the real-time profile obtained from RU16 is used for a nudging process in computation; i.e., the model temperature and salinity fields are forced to nudge toward observed data (see Thyng et al, 2021, for a detailed description).…”

Section: Effect Of the Hurricane On Vertical Stratification And Sea S...mentioning

confidence: 99%

“…The HYCOM bottom temperature is somehow higher than actual, which could lead to the underestimation of the SST cooling. Therefore, we use the real-time SST data obtained from AVHRR for the nudging process in computation to correct this system error (Thyng et al, 2021), considering that the accuracy of the initial stratification could obviously affect the modeling of the mixing process. Note that the error is mainly caused by the discrepancy in initial settings but not defects in the numerical method.…”

Section: Effect Of the Hurricane On Vertical Stratification And Sea S...mentioning

confidence: 99%

A numerical study of near-inertial motions in the Mid-Atlantic Bight area induced by Hurricane Irene (2011)

Han

2022

Ocean Sci.

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Abstract. Hurricane Irene generated strong near-inertial currents (NICs) in ocean waters when passing over the Mid-Atlantic Bight (MAB) of the US East Coast in late August 2011. It is demonstrated that a combination of valuable field data and detailed model results can be taken advantage of to study the development and decay mechanism of this event. Numerical results obtained with the Regional Oceanic Modeling System (ROMS) are shown to agree well with the field data. Both computed and observed results show that the NICs were significant in most areas of the MAB region except in the nearshore area where the stratification was totally destroyed by the hurricane-induced strong mixing. Based on the energy budget, it is clarified that the near-inertial kinetic energy (NIKE) was mainly gained from the wind power during the hurricane event. In the deepwater region, NIKE was basically balanced by the vertical turbulence diffusion (40 %) and downward divergence (33 %), while in the continental shelf region, NIKE was mainly dissipated by the vertical turbulence diffusion (67 %) and partially by the bottom friction (24 %). Local dissipation of NIKE due to turbulence diffusion is much more closely related to the rate of the vertical shear rather than the intensity of turbulence. The strong vertical shear at the offshore side of the continental shelf led to a rapid dissipation of NIKE in this region.

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“…The physics fields are read in as climatology and forced fully for every grid node; they are linearly interpolated in time between available time steps just as climatology can be. Details of the computational savings and setup approach as well as details in the ROMS code modifications are available in Thyng et al (2021).…”

Section: Online and Offline Configurationsmentioning

confidence: 99%

Development of the CSOMIO Coupled Ocean-Oil-Sediment- Biology Model

et al. 2021

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The fate and dispersal of oil in the ocean is dependent upon ocean dynamics, as well as transformations resulting from the interaction with the microbial community and suspended particles. These interaction processes are parameterized in many models limiting their ability to accurately simulate the fate and dispersal of oil for subsurface oil spill events. This paper presents a coupled ocean-oil-biology-sediment modeling system developed by the Consortium for Simulation of Oil-Microbial Interactions in the Ocean (CSOMIO) project. A key objective of the CSOMIO project was to develop and evaluate a modeling framework for simulating oil in the marine environment, including its interaction with microbial food webs and sediments. The modeling system developed is based on the Coupled Ocean-Atmosphere-Wave-Sediment Transport model (COAWST). Central to CSOMIO’s coupled modeling system is an oil plume model coupled to the hydrodynamic model (Regional Ocean Modeling System, ROMS). The oil plume model is based on a Lagrangian approach that describes the oil plume dynamics including advection and diffusion of individual Lagrangian elements, each representing a cluster of oil droplets. The chemical composition of oil is described in terms of three classes of compounds: saturates, aromatics, and heavy oil (resins and asphaltenes). The oil plume model simulates the rise of oil droplets based on ambient ocean flow and density fields, as well as the density and size of the oil droplets. The oil model also includes surface evaporation and surface wind drift. A novel component of the CSOMIO model is two-way Lagrangian-Eulerian mapping of the oil characteristics. This mapping is necessary for implementing interactions between the ocean-oil module and the Eulerian sediment and biogeochemical modules. The sediment module is a modification of the Community Sediment Transport Modeling System. The module simulates formation of oil-particle aggregates in the water column. The biogeochemical module simulates microbial communities adapted to the local environment and to elevated concentrations of oil components in the water column. The sediment and biogeochemical modules both reduce water column oil components. This paper provides an overview of the CSOMIO coupled modeling system components and demonstrates the capabilities of the modeling system in the test experiments.

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Performance of offline passive tracer advection in the Regional Ocean Modeling System (ROMS; v3.6, revision 904)

Cited by 7 publications

References 27 publications

A Numerical Study of Near Inertial Motions in Mid-Atlantic Bight Area Induced by Hurricane Irene (2011)

A Numerical Study of Near Inertial Motions in Mid-Atlantic Bight Area Induced by Hurricane Irene (2011)

A numerical study of near-inertial motions in the Mid-Atlantic Bight area induced by Hurricane Irene (2011)

Development of the CSOMIO Coupled Ocean-Oil-Sediment- Biology Model

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