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利用NCEP/NCAR的1951~2010年逐月再分析资料和NOAA气候诊断中心的1951~2010年的海表温度扩展重建资料,在诊断分析的基础上结合数值模拟试验探讨了前期秋季开始持续的热带海温异常事件对菲律宾低层大气环流的影响。结果表明:1)相比于西南印度洋海温异常事件和北印度洋海温异常事件,前期秋季印度洋上与9月至次年6月的菲律宾异常反气旋(PSAC)关系最为密切的是印度洋偶极子事件(IOD);2)在前期秋季单纯El Nio事件发生时,11月至次年5月在菲律宾海地区均表现出明显的异常反气旋性环流特征。在没有El Nio事件影响时,单纯正位相IOD事件下从11月到次年4月菲律宾海地区依然表现出异常反气旋性环流特征,但再分析资料表明其强度要较El Nio情形下的偏弱;3)当正位相两事件伴随发生时,两事件对El Nio具有协同作用,在该作用下菲律宾海地区的反气旋异常环流相对于单纯某种海温异常事件表现得更加强大,且持续时间更长,甚至到8月仍表现出显著的反气旋环流特征。 相似文献
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Based on the analysis of wind,ocean currents,sea surface temperature(SST) and remote sensing satellite altimeter data,the characteristics and possible causes of sea level anomalies in the Xisha sea area are investigated.The main results are shown as follows:(1) Since 1993,the sea level in the Xisha sea area was obviously higher than normal in 1998,2001,2008,2010 and 2013.Especially,the sea level in 1998 and 2010 was abnormally high,and the sea level in 2010 was 13.2 cm higher than the muti-year mean,which was the highest in the history.In 2010,the sea level in the Xisha sea area had risen 43 cm from June to August,with the strength twice the annual variation range.(2) The sea level in the Xisha sea area was not only affected by the tidal force of the celestial bodies,but also closely related to the quasi 2 a periodic oscillation of tropical western Pacific monsoon and ENSO events.(3)There was a significant negative correlation between sea level in the Xisha sea area and ENSO events.The high sea level anomaly all happened during the developing phase of La Ni?a.They also show significant negative correlations with Ni?o 4 and Ni?o 3.4 indices,and the lag correlation coefficients for 2 months and 3 months are–0.46 and –0.45,respectively.(4) During the early La Ni?a event form June to November in 2010,the anomalous wind field was cyclonic.A strong clockwise vortex was formed for the current in 25 m layer in the Xisha sea area,and the velocity of the current is close to the speed of the Kuroshio near the Luzon Strait.In normal years,there is a "cool eddy".While in 2010,from July to August,the SST in the area was 2–3°C higher than that of the same period in the history. 相似文献
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2017 年中国近海海温和气温气候特征分析 总被引：1，自引：0，他引：1
2017 年，全球平均海表温度较常年值偏高0.29~0.43 ℃，是自1960 年以来第三热的年份，仅次于2015 和2016 年，同时是没有厄尔尼诺事件影响的全球海洋最热年。1960-2017 年，中国近海年平均海表温度呈显著波动上升趋势，每十年升高0.16 ℃。2017 年中国近海年平均海表温度较常年值偏高0.64 ℃，是自1960 年以来的中国近海第二最热年份，仅次于1998 年。基于国家海洋局沿海海洋观测台站资料分析，1960-2017 年，中国沿海年平均海表温度以每十年0.15 ℃的速率上升（高于全球平均海表温度的升温速率每十年0.11 ℃）。2017 年中国沿海海表温度较常年值偏高0.8 ℃，是1960 年有记录以来的最高值，比2015 年所创的最高纪录高0.2 ℃。1965-2017 年，中国沿海年平均气温以每十年0.30 ℃的速率上升。2017年中国沿海气温较常年值偏高1.1 ℃，也是1965 年有记录以来的最高值，比2016 年高0.2 ℃。 相似文献
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研究海洋数据空间化整合是实现海洋信息综合利用的关键技术问题。文章构建了海洋数据空间化整合的基本框架结构,设计了海洋数据的空间化整合的技术流程,从标准体系建设、质量控制体系建设出发,解析了海洋数据空间化整合各项内容。 相似文献
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本文对环渤海沿岸具有代表性且资料完整的6个海洋观测站的月均海表温度(SST)序列作均一性检验和订正。我国海洋观测站密集度低,难以选择参考序列,本文首先采用不依赖参考序列的惩罚最大F检验(PMFT)方法对SST序列检验,利用详尽的元数据对检验结果进行确认,再对不连续点订正,该方法适用于元数据详尽的海洋观测站。对于元数据不详尽的观测站,使用惩罚最大T检验(PMT)方法,选取与海洋台站距离近且相关显著的气象观测站的均一化地面气温序列来制作参考序列,对SST序列进行检验和订正。结果表明,环渤海地区SST序列都存在一定非均一性,观测站较大距离迁移和观测系统变更(从人工观测到自动化观测)是造成非均一性的重要原因。订正后的环渤海地区年平均SST增温趋势更加明显。本文使用不同方法来检验SST序列的均一性,该思路对沿海其他海区观测站SST均一性检验和订正有一定参考价值和应用前景,可为沿海气候变化研究提供科学准确的第一手资料。 相似文献
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东海沿海季节性海平面异常成因 总被引：1，自引：0，他引：1
Based on the analysis of sea level, air temperature, sea surface temperature(SST), air pressure and wind data during 1980–2013, the causes of seasonal sea level anomalies in the coastal region of the East China Sea(ECS) are investigated. The research results show:(1) sea level along the coastal region of the ECS takes on strong seasonal variation. The annual range is 30–45 cm, larger in the north than in the south. From north to south, the phase of sea level changes from 140° to 231°, with a difference of nearly 3 months.(2) Monthly mean sea level(MSL)anomalies often occur from August to next February along the coast region of the ECS. The number of sea level anomalies is at most from January to February and from August to October, showing a growing trend in recent years.(3) Anomalous wind field is an important factor to affect the sea level variation in the coastal region of the ECS. Monthly MSL anomaly is closely related to wind field anomaly and air pressure field anomaly. Wind-driven current is essentially consistent with sea surface height. In August 2012, the sea surface heights at the coastal stations driven by wind field have contributed 50%–80% of MSL anomalies.(4) The annual variations for sea level,SST and air temperature along the coastal region of the ECS are mainly caused by solar radiation with a period of12 months. But the correlation coefficients of sea level anomalies with SST anomalies and air temperature anomalies are all less than 0.1.(5) Seasonal sea level variations contain the long-term trends and all kinds of periodic changes. Sea level oscillations vary in different seasons in the coastal region of the ECS. In winter and spring, the oscillation of 4–7 a related to El Ni?o is stronger and its amplitude exceeds 2 cm. In summer and autumn, the oscillations of 2–3 a and quasi 9 a are most significant, and their amplitudes also exceed 2 cm. The height of sea level is lifted up when the different oscillations superposed. On the other hand, the height of sea level is fallen down. 相似文献
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