HIOMAS



High Resolution Ice-Ocean Modeling and Assimilation System







Goals:
The project team will continue to refine HIOMAS via improvement in model physics and numeric as well as model calibration and validation using observations. The research team is transitioning HIOMAS to the Alaskan Ocean Observation System (AOOS) - a NOAA affiliate, for routine and sustained forecast.

Summary

This ADAC project is developing an accurate, High-resolution Ice-Ocean Modeling and Assimilation System (HIOMAS) to simulate and predict sea ice and currents in the Arctic Ocean. The system is to be calibrated and validated using a range of available sea ice and ocean observations and then used for (near) real-time hindcast and daily-to-seasonal forecast of Arctic Ocean currents, sea ice, and change. The research pays particular attention to the prediction of spatial distribution of ice motion and thickness, the fraction of thick-ridged or multi-year ice, and to the retreat and advance of ice edge. These are the sea ice factors, which are most relevant to Arctic operators. The prediction data will allow the Coast Guard to more safely and reliably conduct search and rescue missions and may also be useful for assisting other stakeholders in the planning and management of economic activities and for other modeling efforts, such as oil spill and wave modeling.

Gallery

Researchers

Principal Investigator

Dr. Jinlun Zhang

Senior Principal Oceanographer, Polar Science Center, Applied Physics Laboratory, University of Washington