大尺度环流异常对南极印度洋扇区海表面高盐异常的影响

南极印度洋扇区分布了许多南极底层水的生成区,此海域海水盐度变化对全球的气候变化有着深远影响。本文采用EN4再分析数据、实测海豹资料和WOD18数据,结合大气再分析和海冰密集度数据,对南极印度洋扇区表面盐度长期变化及其对大尺度环流异常的响应进行探究。2008年以来,南极沿岸出现显著的海表面持续性高盐异常,其中印度洋扇区变化最为显著,表层高盐水主要集中在达恩利冰间湖附近与沙克尔顿冰架以北的海域。沿岸海域的高盐陆架水向北扩张且影响深度不断加深,高盐的绕极深层水上涌也更加明显。此高盐异常与南极涛动(Antarctic Oscillation,AAO)、印度洋偶极子(Indian Ocean Dipole,IOD)两种大尺度环流密切相关。AAO与IOD正位相下,西风显著增强,促进海冰大量生成,为海表面提供了大量的盐通量。同时,海表面出现更显著的风场旋度负异常与低压异常,促进高盐深层水上涌,对高盐异常有重要维持作用。此外,纬向风剪切与蒸发增强也是影响该高盐异常的重要局地过程。     

在Zebiak-Cane模式中观测MJO强迫对ENSO可预报性的影响, 第1部分:对最大预报误差的影响

With the observational wind data and the Zebiak-Cane model, the impact of Madden-Julian Oscillation (MJO) as external forcing on El Ni(n)o–Southern Oscillation (ENSO) predictability is studied. The obs...     

基于PMIP2气候模式模拟的中全新世北大西洋涛动

根据PMIP2中的4个海气耦合模式对中全新世气候的模拟结果,利用现代和中全新世两个时间段的冬季海平面气压场(SLP),分析了北大西洋海平面气压的变化情况并计算了这两个时间段的北大西洋涛动(NAO)指数。结果表明,中全新世亚速尔高压加强,冰岛低压加深,南北气压差增加,NAO强度显著增强。对中全新世北大西洋地区SLP进行经验正交函数(EOF)分析显示,4个模式均能捕捉到了NAO的主要结构。中全新世NAO处于正位相的时间较现代提高了10%~30%,其中MIROC3.2提高了29.3%;虽然NAO指数振幅变化不大,但还是能显示中全新世NAO显著强于现代,这与地质资料恢复的结果相一致。对NAO指数的多窗谱分析显示,现代NAO指数存在3~5 a的准周期变化,中全新世NAO指数存在3 a的准周期变化。NAO对中全新世亚洲地区冬季增温有重要影响。北大西洋地区中纬度海面温度(SST)的增温可能是导致中全新世NAO强度增强的一个重要因素。     

Influence of Arctic Oscillation on winter climate over China

In this study the relationship between the Arctic Oscillation (AO) and climate in China in boreal winter are investigated. Correlation analysis for the last 41 years shows that the winter temperature and precipitation in China change in phase with AO. High positive correlation (>0.4) between temperature and AO appears in the northern China. High correlation coefficients between precipitation and AO cover the southern China (close to the South China Sea) and the central China (between 30o-40oN and east of ~100oE), with the values varying between +0.3 and +0.4. It is found that during the past several decades the precipitation was strongly affected by AO, but for the temperature the Siberian High plays a more important role. At the interdecadal time scale the AO has significant influence on both temperature and precipitation. Multivariate regression analysis demonstrates that AO and the Siberian High related variance in temperature and precipitation is 35% and 11% respectively. For precipitation, however the portion is rather low, implying that some other factors may be responsible for the changes in precipitation, in addition to AO and the Siberian High.     

北太平洋海平面气压场变化与海温的关系

利用SVD（singular value decomposition）方法分析了1948年1月—2002年12月北太平洋海平面气压场与海温的关系。结果表明,SVD第1对异类相关分布型反映出,当东北太平洋副热带高压加强（减弱）时,Namias海区海温升高（降低）,而加利福尼亚海流区海温降低（升高）。SVD第2对异类相关分布型表明,当阿留申低压加深、北太平洋副热带地区气压升高时,黑潮暖流区海温升高,而北太平洋高、低纬海温降低;反之亦然。时滞相关表明,北太平洋大气环流异常超前海温1个月的相关最好,海温变化对大气环流异常分布型具有维持作用。NCAR CCSM3模拟结果很好地验证了上述结论,即在海气相互作用过程中,东北太平洋副热带高压和NPO（North Pacific Oscillation）与北太平洋海温存在密切联系。     

全球热带海洋海表温度场异常对北极海冰的影响

本文利用1951−2021年哈德莱中心提供的海冰和海温最新资料以及美国国家海洋和大气管理局气候预报中心提供的NCEP/NCAR再分析资料,分析探讨了北极海冰70余年的长期变化特征,进而研究了其快速减少与热带海温场异常变化之间的联系,揭示了在全球热带海洋海温场变化与北极海冰之间存在密切联系的事实。结果表明,北极海冰异常变化最显著区域出现在格陵兰海、卡拉海和巴伦支海。热带不同海区对北极海冰的影响存在明显时滞时间和强度差异,热带大西洋的影响相比偏早,印度洋次之,太平洋偏晚。热带大西洋、印度洋和中东太平洋海温异常影响北极海冰的最佳时间分别是后者滞后26个月、30个月和34个月,全球热带海洋影响北极海冰的时滞时间为33个月。印度洋SST对北极海冰的影响程度最强,其次是太平洋,最弱是大西洋。全球热带海洋对北极海冰的影响过程中,热带东太平洋和印度洋起主导作用。当全球热带海洋SST出现正（负）距平时,北极海冰会出现偏少（多）的趋势,而AO、PNA、NAO对北极海冰变化起重要作用,是热带海洋与北极海冰相系数的重要“纽带”。而AO、PNA和NAO不仅受热带海洋SST的影响,同时也受太平洋年代际振荡PDO和大西洋多年代际AMO的影响,这一研究为未来北极海冰快速减少和全球气候变暖机理的深入研究提供理论支撑。     

Optimal weighting in the finite difference solution of the convection-dispersion equation

Oscillation and numerical dispersion limit the reliability of numerical solutions of the convection-dispersion equation when finite difference methods are used. To eliminate oscillation and reduce the numerical dispersion, an optimal upstream weighting with finite differences is proposed. The optimal values of upstream weighting coefficients numerically obtained are a function of the mesh Peclet number used. The accuracy of the proposed numerical method is tested against two classical problems for which analytical solutions exist. The comparison of the numerical results obtained with different numerical schemes and those obtained by the analytical solutions demonstrates the possibility of a real gain in precision using the proposed optimal weighting method. This gain in precision is verified by interpreting a tracer experiment performed in a laboratory column.     

Long-period variations of sea-level in Australasia

Summary. The ability of the Australian sea-level monitoring network is assessed in the investigation of long-period sea-level signals. Through the character of coastal long waves, seasonal variations in level and inter-annual level anomalies, the importance of the south coast of the Continent is identified as a coherent indicator of large-scale marine and atmospheric teleconnections. The source of the sea-level signal is investigated by the tracing of progressive features, by the numerical modelling of wind stress over the Southern Ocean, by the modelling of the effect of monsoonal rains over the Indian Ocean and the mass transport through the Indonesian Strait. These features are related to the ENSO cycle which for the first time is linked, inter alia , with Southern Ocean mechanisms.     

Linking the northern hemisphere sea-ice reduction trend and the quasi-decadal arctic sea-ice oscillation

The nature of the reduction trend and quasi-decadal oscillation in Northern Hemisphere sea-ice extent is investigated. The trend and oscillation that seem to be two separate phenomena have been found in data. This study examines a hypothesis that the Arctic sea-ice reduction trend in the last three decades amplified the quasi-decadal Arctic sea-ice oscillation (ASIO) due to a positive ice/ocean-albedo feedback, based on data analysis and a conceptual model proposed by Ikeda et al. The theoretical, conceptual model predicts that the quasi-decadal oscillation is amplified by the thinning sea-ice, leading to the ASIO, which is driven by the strong positive feedback between the atmosphere and ice-ocean systems. Such oscillation is predicted to be out-of-phase between the Arctic Basin and the Nordic Seas with a phase difference of 3/4, with the Nordic Seas leading the Arctic. The wavelet analysis of the sea ice data reveals that the quasi-decadal ASIO occurred actively since the 1970s following the trend starting in the 1960s (i.e., as sea-ice became thinner and thinner), as the atmosphere experienced quasi-decadal oscillations during the last century. The wavelet analysis also confirms the prediction of such out-of-phase feature between these two basins, which varied from 0.62 in 1960 to 0.25 in 1995. Furthermore, a coupled ice-ocean general circulation model (GCM) was used to simulate two scenarios, one without the greenhouse gas warming and the other having realistic atmospheric forcing along with the warming that leads to sea-ice reduction trend. The quasi-decadal ASIO is excited in the latter case compared to the no-warming case. The wavelet analyses of the simulated ice volume were also conducted to derive decadal ASIO and similar phase relationship between the Arctic Ocean and the Nordic Seas. An independent data source was used to confirm such decadal oscillation in the upper layer (or freshwater) thickness, which is consistent with the model simulation. A modified feedback loop for the sea-ice trend and ASIO was proposed based on the previous one by Mysak and Venegas and the ice/albedo and cloud/albedo feedabcks, which are responsible for the sea ice reduction trend.