Abstract

We estimate two essential sea ice parameters—namely, sea ice concentration (SIC) and sea ice thickness (SIT)—for the Bohai Sea using a combination of a thermodynamic sea ice model and Earth observation (EO) data from synthetic aperture radar (SAR) and microwave radiometer. We compare the SIC and SIT estimation results with in-situ measurements conducted in the study area and estimates based on independent EO data from near-infrared/optical instruments. These comparisons suggest that the SAR-based discrimination between sea ice and open-water works well, and areas of thinner and thicker ice can be distinguished. A larger comprehensive training dataset is needed to set up an operational algorithm for the estimation of SIC and SIT.

Highlights

  • A large portion of the Bohai Sea is typically covered by sea ice during the winter from December to March

  • The synthetic aperture radar (SAR)-based sea ice concentration (SIC) estimates were compared to the SAR segment-wise SIC computed from open-water/sea ice classification based on the HJ-1B (9 January 2013) optical image

  • The MODIS-based ice thickness for the Bohai Sea is sensitive to the changes of air temperature and only works reliably in cold air and ice surface conditions—presumably, Ta below −10 o C [41]

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Summary

Introduction

A large portion of the Bohai Sea is typically covered by sea ice during the winter from December to March. A large portion of the Bohai Sea is covered by sea ice during normal winters. The background ice thickness (h B in cm) was estimated using the HIGHTSI model and AMSR2 radiometer data, which were both interpolated to 1 km pixel size. The thermodynamic sea ice growth for the Bohai Sea is modeled using HIGHTSI. The local-scale spatial distribution of SIT is often inadequately described by the model This explains, for example, the negligible correlation between the in-situ and HIGHTSI SIT (r = 0.1). Earlier studies [69] demonstrated that the HIGHTSI model is capable of estimating the thermodynamic growth of sea ice with reasonable accuracy. The uncertainty of the HIGHTSI estimate for Vi is unknown

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