Langya - Version 1.0 of the large-scale ocean model independently developed by the Institute of Oceanology, Chinese Academy of Sciences.

What is Langya?

Langya is version 1.0 of a new generation of large-scale marine artificial intelligence model independently developed by the Institute of Oceanology, Chinese Academy of Sciences, focusing on the forecasting of ocean state variables. The model combines advanced artificial intelligence algorithms with professional marine science knowledge, enabling high-precision short- to medium-term forecasts of global ocean state variables. Langya version 1.0 can forecast key indicators such as temperature, salinity, and ocean currents for the next 1 to 7 days in a single forecast, with a spatial resolution of 1/12° and a temporal resolution of 24 hours, significantly improving the accuracy and reliability of global ocean forecasts.

The main functions of Langya

• Medium- and short-term high-precision forecastsThe model can achieve high-precision short- to medium-term forecasts of global ocean state variables, including key indicators such as temperature, salinity, and ocean currents.
• Global coverage and high resolutionThe model has global coverage capabilities, with a spatial resolution of 1/12° and a temporal resolution of 24 hours, improving the accuracy and reliability of global ocean forecasts.
• Multi-day continuous forecastIt can forecast ocean state variables for the next 1 to 7 days at once, providing continuous data support for marine scientific research and practical applications.
• Forecast of complex ocean phenomenaThe R&D team plans to introduce forecasts for marine phenomena such as typhoons, precipitation, waves, and sea ice in the future 2.0 version, further enhancing the ability to forecast complex marine phenomena such as marine disasters.

The technical principles of Langya

• The integration of artificial intelligence and marine scienceThe "Langya" model deeply integrates professional knowledge in marine science with cutting-edge artificial intelligence algorithms. This enables the model to achieve accurate forecasts of ocean state variables based on advanced artificial intelligence technology.
• High-precision forecasting capabilityThe Langya 1.0 version has achieved high-precision short- and medium-term forecasts of global ocean state variables, and can predict key indicators such as temperature, salinity, and ocean currents for the next 1 to 7 days at once.
• high resolutionThe model has a spatial resolution of 1/12° and a temporal resolution of 24 hours, representing a major technological breakthrough in the field of global ocean forecasting and significantly improving the accuracy and reliability of forecasts.
• Data-driven model architectureThe model is based on the Ocean-Specific Transformer architecture. An ocean-land masking mechanism was designed to eliminate interference from land areas, and an ocean-specific block was designed to capture the inherent characteristics of the marine environment.
• Multi-source data fusion technologyThe large model was trained using GLORYS12 reanalysis data, ERA5 reanalysis data, and SST satellite observation data. It was then tested on buoy observation data and satellite observation data, and an overall evaluation was conducted on ocean currents, temperature, salinity, and temperature/salinity profiles.

Application scenarios of Langya

• Marine environmental safety protectionBy accurately forecasting ocean state variables such as temperature, salinity, and ocean currents, it provides important data support for maritime navigation safety and reduces the risk of maritime accidents.
• Global Climate Change ResponseThe model can provide continuous data on ocean state variables, helping scientists better understand and predict global climate change trends.
• Marine resource developmentA deeper understanding and forecasting of the marine environment will enable us to develop and utilize marine resources, such as fishery and mineral resources, more effectively.
• Marine disaster prevention and mitigationThe model can predict marine phenomena such as typhoons, precipitation, waves, and sea ice, providing early warning information for coastal areas to cope with extreme weather events and reduce losses caused by natural disasters.
• Scientific researchTo provide more refined data support for marine science research and promote research progress in the field of marine science.