A Data-Driven Deep Learning Model for Weekly Sea Ice Concentration Prediction of the Pan-Arctic During the Melting Season
This study proposes a purely data-driven model for the weekly prediction of daily sea ice concentration (SIC) of the pan-Arctic (90 N, 45 N, 180 E, 180 W) during the melting season. The model, SICNet, adopts an encoder-decoder framework with fully convolutional networks (FCNs) and can predict the SI...
Published in: | IEEE Transactions on Geoscience and Remote Sensing |
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Main Authors: | , , |
Format: | Report |
Language: | English |
Published: |
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
2022
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Subjects: | |
Online Access: | http://ir.qdio.ac.cn/handle/337002/179153 https://doi.org/10.1109/TGRS.2022.3177600 |