@article{oai:nipr.repo.nii.ac.jp:00003984,
 author = {/ / and BAO, Chenglan and XIE, Simei and ZOU, Bing},
 journal = {Proceedings of the NIPR Symposium on Polar Meteorology and Glaciology},
 month = {Nov},
 note = {P(論文), 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.},
 pages = {233--240},
 title = {LONG-TERM VARIATION OF ANTARCTIC SEA ICE AND ITS PREDICTION POSSIBILITY},
 volume = {11},
 year = {1997}
}