A breakthrough in the two-way coupling within a wave-current-atmosphere system
OceanCoupling aims to enhance climate models by developing a two-way coupled approach to accurately simulate wave processes at the air-sea interface, improving predictions of ocean dynamics and climate impacts.
Projectdetails
Introduction
The Wave-Current-Atmosphere (WCA) system in the upper ocean is an air-sea interface that drives the physical, chemical, and biological processes crucial to our global climate and environment. Observations and simulations over the last two decades have revolutionized our picture of the roles of small-scale wave processes in the large-scale oceanic circulations controlled by the WCA system, offering a promising direction to correcting long-standing biases and errors in key indicators in climate models, such as sea surface temperature and the mixed depth of vertical mixing.
Key Challenges
The key to correcting such biases and errors is to physically resolve the surface wave processes in the WCA system. OceanCoupling will effect a paradigm shift towards two-way coupled modeling of the system using a novel approach which removes a bottleneck caused by two main challenges:
- Multi-scale dependent physical processes
- The air-sea interface - known for its dynamics and complexity
This approach harnesses both the analytical features of multi-scale quantities and the rapid development in computing power to greatly increase numerical efficiency, at no cost of accuracy.
Objectives
OceanCoupling will explain, for the first time, how the surface wave processes control the essential exchange of mass, momentum, and energy between the atmosphere and ocean. The outcome of OceanCoupling will provide timely links to recent and future ocean surface remote sensing products that monitor the ocean surface and will equip us with a feasible tool to tackle the ever-increasing wave extremes due to climate changes and innovative technologies for renewable energy.
Implications
OceanCoupling initiates a new way of efficiently modeling complex systems with multiple scales, enabling breakthroughs in similar physical systems. Technically, the main outcomes, e.g., theoretical framework and numerical solver with open access, will create opportunities for novel insights due to their wide applicability in fluid dynamics.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.499.996 |
Totale projectbegroting | € 1.499.996 |
Tijdlijn
Startdatum | 1-10-2024 |
Einddatum | 30-9-2029 |
Subsidiejaar | 2024 |
Partners & Locaties
Projectpartners
- UNIVERSITETET I BERGENpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Small Flows with Big Consequences: Wave-, Turbulence- and Shear current-Driven mixing under a water surfaceWaTurSheD aims to empirically model the mixing of surface waves, turbulence, and shear currents in the ocean to improve climate simulations by developing a universal scaling law for WTS flows. | ERC Consolid... | € 1.958.705 | 2023 | Details |
Observing, Modeling, and Parametrizing Oceanic Mixed Layer Transport ProcessesThis project aims to quantify ocean mixed-layer dynamics by simulating and measuring submesoscale currents' effects on vertical transport, enhancing climate models and biogeochemical understanding. | ERC Starting... | € 2.422.688 | 2025 | Details |
Physically-Based Ocean TransportThis project aims to develop a physically-based parameterization for turbulent ocean transport using a multi-method approach to enhance long-term climate predictions. | ERC Consolid... | € 1.941.033 | 2024 | Details |
The global ocean carbon cycle after peak emissions: Dynamics and process attribution in a seamless model framework from coastal shelves to the open oceanOceanPeak aims to enhance global ocean CO2 sink estimates by developing a comprehensive carbon cycle model to improve understanding and monitoring of carbon sequestration post-peak emissions. | ERC Starting... | € 1.499.953 | 2023 | Details |
Unlocking the Complexities of Wind Farm-Atmosphere Interaction: A Multi-Scale ApproachThis project aims to enhance wind farm performance forecasts by using high-resolution 3D simulations to study the dynamic interactions between wind farms, weather, ocean, and clouds. | ERC Consolid... | € 2.000.000 | 2024 | Details |
Small Flows with Big Consequences: Wave-, Turbulence- and Shear current-Driven mixing under a water surface
WaTurSheD aims to empirically model the mixing of surface waves, turbulence, and shear currents in the ocean to improve climate simulations by developing a universal scaling law for WTS flows.
Observing, Modeling, and Parametrizing Oceanic Mixed Layer Transport Processes
This project aims to quantify ocean mixed-layer dynamics by simulating and measuring submesoscale currents' effects on vertical transport, enhancing climate models and biogeochemical understanding.
Physically-Based Ocean Transport
This project aims to develop a physically-based parameterization for turbulent ocean transport using a multi-method approach to enhance long-term climate predictions.
The global ocean carbon cycle after peak emissions: Dynamics and process attribution in a seamless model framework from coastal shelves to the open ocean
OceanPeak aims to enhance global ocean CO2 sink estimates by developing a comprehensive carbon cycle model to improve understanding and monitoring of carbon sequestration post-peak emissions.
Unlocking the Complexities of Wind Farm-Atmosphere Interaction: A Multi-Scale Approach
This project aims to enhance wind farm performance forecasts by using high-resolution 3D simulations to study the dynamic interactions between wind farms, weather, ocean, and clouds.