大气科学进展(英文版)
大氣科學進展(英文版)
대기과학진전(영문판)
ADVANCES IN ATMOSPHERIC SCIENCES
2001年
4期
613-622
,共10页
刘秦玉%贾英来%王小华%杨海军
劉秦玉%賈英來%王小華%楊海軍
류진옥%가영래%왕소화%양해군
海平面高度%南中国海%季风%并行海洋气候模式
海平麵高度%南中國海%季風%併行海洋氣候模式
해평면고도%남중국해%계풍%병행해양기후모식
根据TOPEX/POSEIDON-ERS高度计提供的海平面高度异常资料和并行海洋气候模式(POCM)模拟海平面高度资料,分析了南海海平面高度年循环特征。结果表明:1月,3月和5月海平面高度的异常值分别与7月,9月,11月的异常值相反。1月(7月),深水海区与吕宋海峡的海平面高度为负(正)异常,在大部分陆架区和南海的西和南部,海平面高度为正(负)异常。在3月(9月),除海平面高度异常的量级已减少,且较小的SSH正异常(负异常)出现在南海的中部以外,海平面高度异常的分布型与1月(7月)类似;SSH的年循环的最大振幅出现在吕宋岛的西北海域;风的季节变化是南海SSH季节变化的主要原因。
根據TOPEX/POSEIDON-ERS高度計提供的海平麵高度異常資料和併行海洋氣候模式(POCM)模擬海平麵高度資料,分析瞭南海海平麵高度年循環特徵。結果錶明:1月,3月和5月海平麵高度的異常值分彆與7月,9月,11月的異常值相反。1月(7月),深水海區與呂宋海峽的海平麵高度為負(正)異常,在大部分陸架區和南海的西和南部,海平麵高度為正(負)異常。在3月(9月),除海平麵高度異常的量級已減少,且較小的SSH正異常(負異常)齣現在南海的中部以外,海平麵高度異常的分佈型與1月(7月)類似;SSH的年循環的最大振幅齣現在呂宋島的西北海域;風的季節變化是南海SSH季節變化的主要原因。
근거TOPEX/POSEIDON-ERS고도계제공적해평면고도이상자료화병행해양기후모식(POCM)모의해평면고도자료,분석료남해해평면고도년순배특정。결과표명:1월,3월화5월해평면고도적이상치분별여7월,9월,11월적이상치상반。1월(7월),심수해구여려송해협적해평면고도위부(정)이상,재대부분륙가구화남해적서화남부,해평면고도위정(부)이상。재3월(9월),제해평면고도이상적량급이감소,차교소적SSH정이상(부이상)출현재남해적중부이외,해평면고도이상적분포형여1월(7월)유사;SSH적년순배적최대진폭출현재려송도적서북해역;풍적계절변화시남해SSH계절변화적주요원인。
The annual cycle characteristics of the SSH in the South China Sea (SCS) are analyzed based on the Sea Surface Height (SSH) anomaly data from the TOPEX / POSEIDON-ERS altimeter data and the Parallel Ocean Climate Model (POCM) prediction. The results show that the distributions of the SSH anomalies of the SCS in January, March and May, are opposite to those in July, September and November respectively; In January (July) there is the SSH negative (positive) anomaly in the deep water basin and at the Luzon Strait, while there is positive (negative) anomaly on the most of continental shelves in the west and south of South China Sea; In March (September) the SSH anomalies are similar to those in January (July), although their magnitudes have decreased and a small positive (negative) anomaly appears in the center of the South China Sea; The amplitude of the SSH annual cycle reaches its maximum in the Northwest of the Luzon Island; The seasonal variability of the wind stress is dominant in the formation of the SSH seasonal variability.