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...

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Bibliographic Details
Main Authors: / /, Chenglan BAO, Simei XIE, Bing ZOU
Format: Report
Language:English
Published: National Research Center for Marine Environment Forecasts 1997
Subjects:
Antarctic
Sigrid
Antarc*
Polar meteorology and glaciology
Proceedings of the NIPR Symposium on Polar Meteorology and Glaciology
Sea ice
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
Description
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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