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本文采用ＣＯＡＤＳ资料（１９５８～１９８７年）对南海表层水温（ＳＳＴ）及其异常（ＳＳＴＡ）信息熵进行了计算和分析并与以往关于南海水温异常的研究成果相比较，取得颇为一致的结果。海洋表层水温信息熵可以有效地反应ＳＳＴ气候形成的复杂（混乱）程度在空间的分布及其年变化；水温异常信息熵能很好地反映ＳＳＴＡ形成的复杂（混乱）程度在空间的分布及其振荡特征。因此，水温信息熵可以用于研究海洋宏观热力状态的分布及其变化特征。
In this paper, the information of surface water temperature (SST) and its anomalous (SSTA) entropy in the South China Sea is calculated and analyzed by using COADS data (1958 ~ 1987) and compared with the previous research results on the water temperature anomalies in the South China Sea, and achieved quite consistent results. Ocean surface water temperature entropy can effectively reflect the spatial distribution and annual variation of complex (chaos) in SST climate. Anomaly entropy of water temperature can well reflect the spatial distribution of complex (chaos) in SSTA and its Oscillation characteristics. Therefore, the entropy of water temperature can be used to study the distribution of macro-state of heat and its variation characteristics.