Bohai Sea Ice Parameter Estimation Based on Thermodynamic Ice Model and Earth Observation Data

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...

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Bibliographic Details
Published in:Remote Sensing
Main Authors: Juha Karvonen, Lijian Shi, Bin Cheng, Markku Similä, Marko Mäkynen, Timo Vihma
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2017
Subjects:
synthetic aperture radar
passive microwave remote sensing
ice concentration
ice thickness
thermodynamic ice model
Science
Q
Sea ice
Online Access:https://doi.org/10.3390/rs9030234
https://doaj.org/article/96a03bb6446b4f848b5d843acb93fc0f
Description
Summary: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.

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