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在"我国近海海洋综合调查与评价"的光学调查项目中,通过2006年夏季、冬季和2007年春季、秋季的中国近海海洋光学调查试验,获取了表观光学资料、固有光学资料和相应的辅助资料。利用这些数据,开展了中国近海海洋光学特性及其分布研究工作。(1)通过分析特征波段遥感反射比(Rrs(412)和Rrs(490))的分布情况,发现主要河口有着明显的区域性和季节性变化特点。(2)通过分析遥感反射比光谱资料,发现了不同区域遥感反射比光谱体现了不同的特点,而且成因不同。(3)通过分析400nm水色要素吸收系数分布情况,发现了河流陆源物质输入对近岸非色素颗粒物分布特性有重要影响,其次对黄色物质也有很大的影响,而浮游植物及其腐烂降解的产物对水体中黄色物质浓度产生的影响不大。(4)通过分析400nm水色三要素吸收系数占总吸收系数比例,发现不同海区光学特性的主要影响要素也各不相同。 相似文献
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Hong-Li Ren Fei Zheng Jing-Jia Luo Run Wang Minghong Liu Wenjun Zhang Tianjun Zhou Guangqing Zhou 《Acta Meteorologica Sinica》2020,34(1):43-62
Remarkable progress has been made in observations, theories, and simulations of the ocean-atmosphere system, laying a solid foundation for the improvement of short-term climate prediction, among which Chinese scientists have made important contributions. This paper reviews Chinese research on tropical air-sea interaction, ENSO dynamics, and ENSO prediction in the past 70 years. Review of the tropical air-sea interaction mainly focuses on four aspects: characteristics of the tropical Pacific climate system and ENSO; main modes of tropical Indian Ocean SSTs and their interactions with the tropical Pacific; main modes of tropical Atlantic SSTs and inter-basin interactions; and influences of the mid-high-latitude air-sea system on ENSO. Review of the ENSO dynamics involves seven aspects: fundamental theories of ENSO; diagnosis and simulation of ENSO; the two types of ENSO; mechanisms of ENSO initiation; the interactions between ENSO and other phenomena; external forcings and teleconnections; and climate change and the ENSO response. The ENSO prediction part briefly summarizes the dynamical-statistical methods used in ENSO prediction, as well as the operational ENSO prediction systems and their applications. Lastly, we discuss some of the issues in these areas that are in need of further study. 相似文献
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<正>El Nio is a remarkable climate phenomenon with a basinwide warming of sea surface temperatures(SST) in the easterncentral tropical Pacific. El Nio means The Little Boy, or Christ Child in Spanish, and on the contrary, a basinwide cooling of the tropical Pacific SST is called La Nia that means The Little Girl in Spanish. Always, a large-scale SST change in the tropical 相似文献
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利用我国气象台站观测资料和再分析格点数据,诊断研究了前期春季(4-5月份)北大西洋涛动(North Atlantic Oscillation,NAO)和南半球环状模(Southern Annular Mode,SAM)在不同位相配置下对我国南方夏季降水异常变化的协同影响作用.分析结果表明,在剔除ENSO最强信号影响后,我国南方夏季降水异常分布显著地依赖于前期春季两个较为独立的年际变率主模态(NAO和SAM)位相的不同配置,即降水异常型主要表现为两个因子单独作用的叠加效果,当前春SAM正位相偏强而NAO负位相偏强时,二者的影响呈现协同正效应,我国南方夏季(6-7月份)降水表现为全区正异常,特别在长江中下游及其以南附近地区最为显著;反之,当前春SAM呈偏强的负位相而NAO偏强的正位相配置时,二者的影响呈现协同负效应,对应我国夏季长江中下游地区降水表现为显著负异常.对其可能的影响机理研究表明,在SAM与NAO位相相反情况下,二者均会通过海气相互作用过程影响到热带大西洋北部海温的异常变化,进而形成协同作用,增强北大西洋海温三极子模态异常信号,从而通过欧亚大陆的遥相关波列对东亚夏季风和我国南方降水产生显著影响.相比之下,当SAM与NAO同位相时,可能表现为抵消效应,不利于北大西洋海温三极子发展,从而削弱对我国南方夏季降水的影响,此方面还有待进一步研究. 相似文献
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本文的相关分析表明,在1948~2009年期间东亚夏季风(EASM)与前期春季(4~5月)北大西洋涛动(NAO)之间存在显著的年际相关关系,但这种关系具有明显的年代际变化特征,即在1970s发生了由正相关到负相关的转变.进一步的合成分析指出,春季NAO与EASM之间年际相关关系的转变,与春季和前期冬季(12~3月)北大西洋海盆尺度的海-气耦合模,即NAO-海温异常(SSTA)三极子耦合模的影响作用密切相关.春季NAO异常对EASM年际变化的影响主要依赖于前者所激发的SSTA三极子模态由春季到夏季的记忆性.然而,该模态不但受到春季NAO的控制,而且还会受到前冬NAO-SSTA三极子耦合模的增强或削弱作用,其中后者的影响作用具有明显的年代际变化特征.在1970s之前,前冬NAO-SSTA三极子耦合模对春季SSTA三极子模态存在明显的非对称作用,即前者主要对后者的正位相异常存在显著的削弱作用;在1970s之后,前者对后者正/负位相异常的影响作用均不明显.因此,在春季NAO对称作用与前冬NAO-SSTA三极子耦合模非对称作用的共同影响下,春季NAO与SSTA三极子模态的年际相关关系存在显著年代际变化,进而引起了春季NAO与EASM的年际相关关系在1970s的转变. 相似文献
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利用1962～2006年NCEP/NCAR再分析资料,采用对历史个例进行合成分析的方法,研究了异常降水中心分别位于长江以南区域的江南型和长江-淮河流域的江淮型低频雨型的季节内水汽输送特征.研究表明,江南型的总水汽输送主要来源于孟加拉湾,并经中南半岛和南海输入江南区域;江淮型的总水汽输送主要直接来源于南海,但水汽源地主要为印度季风区.对于水汽输送异常,江南型和江淮型具有明显不同的特征.江南型的水汽输送异常主要来源于热带西太平洋-南海,中纬度西风带和中高纬度南下的水汽输送异常的贡献次之;而江淮型的水汽输送异常主要来源于热带和副热带西太平洋,中纬度西风带水汽输送异常的贡献次之.另外,水汽输送异常对江南型的区域总水汽收支的贡献约为50%,而对江淮型的区域总水汽收支的贡献高达70%左右.因此,虽然总水汽输送主要取决于气候平均水汽输送,但是,水汽输送异常与气候平均水汽输送对江南型和江淮型的水汽供应具有相同甚至更为重要的贡献.特别是对于江淮型,区域总水汽收支主要取决于水汽输送异常的贡献,而水汽输送异常的变化较平均水汽输送更为复杂,这有可能是江淮流域汛期降水预报较为困难的原因之一. 相似文献
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Identification Standard for ENSO Events and Its Application to Climate Monitoring and Prediction in China 总被引：3，自引：3，他引：0
The El Niño–Southern Oscillation (ENSO) reflects anomalous variations in the sea surface temperature (SST) and atmospheric circulation over the tropical central–eastern Pacific. It remarkably impacts on weather and climate worldwide, so monitoring and prediction of ENSO draw intensive research. However, there is not yet a unique standard internationally for identifying the timing, intensity, and type of ENSO events. The National Climate Center of China Meteorological Administration (NCC/CMA) has led the effort to establish a national identification standard of ENSO events, which was officially endorsed by the National Standardization Administration of China and implemented operationally in NCC/CMA in 2017. In this paper, two key aspects of this standard are introduced. First, the Niño3.4 SST anomaly index, which is well-recognized in the international ENSO research community and used operationally in the US, has replaced the previous Niño Z index and been used to identify the start, end, and peak times, and intensity of ENSO events. Second, two new indices—the eastern Pacific ENSO (EP) index and the central Pacific ENSO (CP) index, based on the SST conditions in Niño3 and Niño4 region respectively, are calculated to first determine the ENSO type before monitoring and assessing the impacts of ENSO on China’s climate. With this standard, all historical ENSO events since 1950 are consistently re-identified; their distinct properties are diagnosed and presented; and the impacts of ENSO events under different types on China’s climate are re-assessed. This standard is also employed to validate the intensity, grade, and type of the ENSO events predicted by the NCC/CMA operational ENSO prediction system. The new standard and the thus derived unified set of re-analyzed historical ENSO events and associated information provide a good reference for better monitoring and prediction of future ENSO events. 相似文献
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In this study, the predictability of the El Nino-South Oscillation(ENSO) in an operational prediction model from the perspective of initial errors is diagnosed using the seasonal hindcasts of the Beijing Climate Center System Model,BCC;SM1.1(m). Forecast skills during the different ENSO phases are analyzed and it is shown that the ENSO forecasts appear to be more challenging during the developing phase, compared to the decay phase. During ENSO development, the SST prediction errors are significantly negative and cover a large area in the central and eastern tropical Pacific, thus limiting the model skill in predicting the intensity of El Nino. The large-scale SST errors, at their early stage, are generated gradually in terms of negative anomalies in the subsurface ocean temperature over the central-western equatorial Pacific,featuring an error evolutionary process similar to that of El Nino decay and the transition to the La Nina growth phase.Meanwhile, for short lead-time ENSO predictions, the initial wind errors begin to play an increasing role, particularly in linking with the subsurface heat content errors in the central-western Pacific. By comparing the multiple samples of initial fields in the model, it is clearly found that poor SST predictions of the Nino-3.4 region are largely due to contributions of the initial errors in certain specific locations in the tropical Pacific. This demonstrates that those sensitive areas for initial fields in ENSO prediction are fairly consistent in both previous ideal experiments and our operational predictions,indicating the need for targeted observations to further improve operational forecasts of ENSO. 相似文献