LONG-TERM VARIATION OF ANTARCTIC SEA ICE AND ITS PREDICTION POSSIBILITY
The SIGRID Antarctic sea ice data (1973-1989) and the satellite microwave radiation data of SMMR and SSM/I (1978-1995) are used in this paper. Through assimilation-processing, these data sets are combined into a single time series data set (1973-1995). The maximum entropy spectrum analysis method is...
Main Authors: | , , , |
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Format: | Report |
Language: | English |
Published: |
National Research Center for Marine Environment Forecasts
1997
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Subjects: | |
Online Access: | https://nipr.repo.nii.ac.jp/?action=repository_uri&item_id=3984 http://id.nii.ac.jp/1291/00003984/ https://nipr.repo.nii.ac.jp/?action=repository_action_common_download&item_id=3984&item_no=1&attribute_id=18&file_no=1 |
Summary: | The SIGRID Antarctic sea ice data (1973-1989) and the satellite microwave radiation data of SMMR and SSM/I (1978-1995) are used in this paper. Through assimilation-processing, these data sets are combined into a single time series data set (1973-1995). The maximum entropy spectrum analysis method is used to analyze the long-term variation periods of Antarctic sea ice; and the interrelationship between sea ice and ENSO events is examined. Based on these analyses results, the prediction possibility of Antarctic sea ice is studied, and forecasting regression equations of long-term variation trend of Antarctic sea ice are established to predict the long-term forecasting of sea ice. |
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