A method and system for optimizing a COARE model based on sea ice density

By introducing sea ice concentration optimization into the COARE model, establishing zonal correction relationships, and dynamically correcting roughness, the problem of inaccurate calculations of the COARE model in polar oceans was solved, and high-precision ocean-atmosphere flux estimation was achieved under different sea ice coverage conditions.

CN121435845BActive Publication Date: 2026-06-09SOUTHERN MARINE SCI & ENG GUANGDONG LAB (ZHUHAI)
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SOUTHERN MARINE SCI & ENG GUANGDONG LAB (ZHUHAI)
Filing Date
2025-11-14
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing COARE models are inaccurate under polar ocean conditions, have limited applicability, and cannot accurately estimate ocean-atmosphere fluxes.

Method used

By introducing the COARE model optimized by sea ice concentration, a zoning correction relationship is established. The model roughness is dynamically corrected based on real-time measured data. A wind speed zoning strategy and a multinomial fitting method are used to establish a correlation function between sea ice concentration and roughness difference values, and the model roughness is corrected in real time.

Benefits of technology

It breaks through the limitations of the original model in terms of wind speed applicability and polar region adaptability, significantly improves the accuracy and practicality of polar momentum flux calculation, and can provide high-precision ocean-atmosphere flux estimation under different sea ice coverage conditions.

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Abstract

The present application relates to the technical field of weather model optimization and polar ocean data processing, and particularly relates to a method and system for optimizing COARE model based on sea ice density, comprising: obtaining polar ocean historical measured data, calculating real roughness and model roughness output by COARE model and determining roughness difference value; dividing wind speed interval, fitting and establishing correction function of sea ice density and roughness difference value; introducing sea ice density to COARE model, determining corresponding interval according to wind speed and calling corresponding function to correct model roughness, and outputting ocean-atmosphere flux meeting polar sea ice condition to complete model optimization. The present application realizes dynamic correction of roughness of COARE model under polar sea ice covering condition by introducing sea ice density and establishing wind speed partition correction relationship, breaks through the limitation of original model in wind speed applicability and polar adaptability, and significantly improves the accuracy and practicability of polar ocean-atmosphere flux calculation.
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