2021年南海夏季风爆发偏迟原因分析

通常La Ni?a年南海夏季风爆发偏早,但是2021年La Ni?a背景下南海夏季风于5月第6候爆发,较常年偏迟。利用NCEP/NCAR再分析资料,从热带海温异常(SSTA)和季节内振荡(ISO)北传的角度来分析2021年南海夏季风爆发偏迟的原因。结果表明La Ni?a确实使春季的西太平洋副热带高压(以下简称西太副高)减弱,特别是4月之前;但是由于热带印度洋海温在冬春季持续偏暖的背景下抵消了La Ni?a的影响,特别是在5月,La Ni?a的影响小于热带印度洋的作用,导致5月西太副高偏强,南海夏季风爆发偏迟。此外,受La Ni?a影响,4月西太副高偏弱,南海地区背景正压南风偏弱,不利于南海地区赤道ISO的北传,这与气候态正好相反;随着热带印度洋SSTA的影响越来越显著,西太副高逐渐加强,直到5月下旬,背景正压经向南风才扩展到10°N以南地区,导致2021年南海地区赤道ISO北传偏迟,这也是2021年南海夏季风爆发偏迟的一个重要原因。热带印度洋和太平洋SSTA通过“竞争”共同对南海夏季风爆发产生影响,因此关注二者在冬春季的发展非常重要。     

The 30–60-day Intraseasonal Variability of Sea Surface Temperature in the South China Sea during May–September

This study investigates the structure and propagation of intraseasonal sea surface temperature(SST) variability in the South China Sea(SCS) on the 30–60-day timescale during boreal summer(May–September). TRMM-based SST, GODAS oceanic reanalysis and ERA-Interim atmospheric reanalysis datasets from 1998 to 2013 are used to examine quantitatively the atmospheric thermodynamic and oceanic dynamic mechanisms responsible for its formation. Power spectra show that the 30–60-day SST variability is predominant, accounting for 60% of the variance of the 10–90-day variability over most of the SCS. Composite analyses demonstrate that the 30–60-day SST variability is characterized by the alternate occurrence of basin-wide positive and negative SST anomalies in the SCS, with positive(negative) SST anomalies accompanied by anomalous northeasterlies(southwesterlies). The transition and expansion of SST anomalies are driven by the monsoonal trough–ridge seesaw pattern that migrates northward from the equator to the northern SCS. Quantitative diagnosis of the composite mixed-layer heat budgets shows that, within a strong 30–60-day cycle, the atmospheric thermal forcing is indeed a dominant factor, with the mixed-layer net heat flux(MNHF) contributing around 60% of the total SST tendency, while vertical entrainment contributes more than 30%. However, the entrainment-induced SST tendency is sometimes as large as the MNHF-induced component, implying that ocean processes are sometimes as important as surface fluxes in generating the30–60-day SST variability in the SCS.     

南海海温异常影响南海夏季风的数值模拟研究

采用p－σ九层区域气候模式(p－σRCM9）模拟并研究了南海海温异常对南海夏季风的影响, 数值模拟结果表明, 5月份的南海海温对南海夏季风的爆发日期起关键作用: 5月份南海海温持续增温 (降温）, 南海夏季风爆发日期偏早 (偏晚）。南海夏季风爆发后, 南海异常增温, 同期的南海夏季风增强, 而后期的南海夏季风减弱; 南海异常降温, 则与之相反。机制分析表明, 南海海温正(负)异常增强(减弱)了海面与行星边界层之间的能量交换, 主要是潜热通量的输送, 并在大气中通过积云对流加热率的变化来影响对流层热量的分布, 进而引起对流层中低层辐合和高层辐散的变化, 然后使得环流场和风场作出相应地调整, 环流场和风场又会反过来影响积云对流加热率的变化, 这是一个正反馈过程。在5月份南海增温(降温)强迫下, 5月份南海地区的对流活动加强(减弱）, 使得对流层低层副热带高压提前(延后)撤出南海, 从而有利于南海夏季风爆发偏早(晚）。在南海海温异常强迫下, 中国东南部和南海地区的降水率异常主要是由积云对流所产生的降水率异常引起。     

Interdecadal Change in the Interannual Variability of South China Sea Summer Monsoon Intensity

The interdecadal change in the interannual variability of the South China Sea summer monsoon(SCSSM) intensity and its mechanism are investigated in this study. The interannual variability of the low-level circulation of the SCSSM has experienced a significant interdecadal enhancement around the end of the 1980s, which may be attributed to the interdecadal changes in the evolution of the tropical Indo-Pacific sea surface temperature(SST) anomalies and their impacts on the SCSSM. From 1961 to 1989...     

Characteristics of Tropical Sea Surface Temperature Anomalies and Their Influences on the Onset of South China Sea Summer Monsoon

The characteristics of sea surface temperature anomalies(SSTAs)in the tropical oceans and their influences on the onset of South China Sea summer monsoon(SCSSM)have been studied.The anomaly of SST in tropical Pacific Ocean exerts persistence impact for one to three months on atmospheric circulations.If the warm pool becomes anomalously warmer during an earlier period from February to April,the SCSSM breaks out earlier,and vice versa.Singular value decomposition(SVD)and composite analysis have shown that,in La Ni a pattern,the convection over Western Pacific will occur earlier and be stronger than normal,which favors the convergence at a lower layer over Western Pacific,as well as the strengthening of upwelling branch of Walker circulation,leading to an earlier burst of westerly in the southern South China Sea.Moreover,the convection in Sumatra appears earlier than normal and favors the westerly evolution in eastern Indian Ocean,resulting in the splitting of the subtropical high belt and an early onset of SCSSM.However,the atmospheric circulation anomaly is reversed in El Nio pattern.     

热带印度洋春季海表温度异常与南海夏季风强度变化的关系

利用50年的Reynolds月平均海表温度资料和NCEP/NCAR全球大气再分析资料,分析了热带印度洋春季海温异常对南海夏季风强度变化的影响。结果表明:1)热带印度洋春季海表温度距平(SSTA)的模态主要是全区一致型(USBM)和热带南印度洋偶极型(SIODM),USBM模态既有年际时间尺度的变化特征,又有年际以上时间尺度的变化特征,既包含有对冬季ENSO信号响应的变化特征,又有独立于ENSO的变化特征;SIODM模态主要表现为独立于ENSO的年际时间尺度变化。2)USBM模态与南海夏季风强度变化呈显著负相关关系,且二者都是对冬季ENSO信号的响应,USBM模态的年际变化不能独立于ENSO信号影响南海夏季风的强度变化。3)经(1~8年)带通滤波及去除ENSO信号的热带印度洋春季SSTA的SIODM型分布是影响南海夏季风强度变化的主要模态,表现为热带东南印度洋为负(正)、其他海区为正(负)时,南海夏季风强度增强(减弱),大气环流对热带东南印度洋SSTA热力作用的响应是造成这一关系的直接原因,SIODM型的SSTA分布与南海夏季风年际异常关系在热带印度洋长期变化趋势的暖位相期显著,在长期变化趋势的冷位相期不显著。     

印度洋海温异常和南海夏季风建立迟早的关系I.耦合分析

运用CSVD和联合CSVD等较新颖的统计方法,在去除/未去除ENSO影响的思路下,探讨了印度洋海温异常和南海夏季风建立迟早的关系,结果表明:在没有去除ENSO信号(外部作用)影响的情况下,全区一致型的海温异常分布对南海夏季风建立迟早起着重要的作用。当全区温度距平为正(负)时,南海夏季风建立较晚(早)。在去除了ENSO信号的影响后,非ENSO全区一致型和SIODM型是影响南海夏季风建立早晚的两个主要的印度洋海温分布型。对于非ENSO全区一致型的海温分布,当前期海温全区为负(正)距平时,南海夏季风建立较早(晚)。而对于SIODM型的海温分布,则当前期海温距平为西负东正(西正东负)的SIODM型时,南海夏季风建立较早(晚)。     

南海夏季海流的数值模拟

用一个水平分辨率较高的区域海洋模式计算了中国海的海流。本文给出了南海７月份的上层环流的数值模拟结果。结果表明:在南海北部的陆架区，一支较强的东北向海流穿过台湾海峡流入东海；在海南岛东南和越南沿岸以东海域有一个气旋式的涡旋；南海南部被一个反气旋式的大涡旋所占据。计算得到的这些环流特征与观测结果十分一致。另外，数值模拟结果还显示出，黑潮的一个分支通过巴士海峡的南部进入南海，虽然一部分海水不断被陆架诱导流向东北，但是仍有一部分海水可以一直向西流到海南岛以东海域。     

异常东亚冬季风对夏季南海地区风场及热力场的影响

用合成及SVD方法,对冬季风异常在南海地区的风场和热力场中所产生的影响进行了研究,并探讨了这种相互联系的可能机制。结果表明,冬季风异常对流场的影响可以从冬季持续至春、夏季。在强冬季风年,南海夏季风爆发偏早、偏强且突发性显著;而在弱冬季风年则相反。长江流域的情况则与此相反,强冬季风时,该地区夏季对流偏弱,降水减少;弱冬季风时相反。南海地区风场的变化与该地区大气及下垫面热状态的改变有关。强、弱冬季风所对应的同期及后期的海温截然不同。在强冬季风年,热带海温场上呈现LaNi*S～/n@a型的异常分布,而在亚洲大陆近海及南海地区,则维持较强的负距平,海水温度明显偏低,强度以春季为最强。它所形成的南海及邻近地区海陆之间的温度梯度有利于夏季风的早爆发和加强;而在弱季风年,则完全相反。与异常冬季风相关联的大气的热状态同样具有季节的持续性。春、夏季季风区中大气热状态的改变,影响了夏季风特别是南海夏季风爆发的早晚及其强度的变化。由冬季风异常引起的热源变化可能也是环流隔季相关的重要纽带之一。     

南海夏季风爆发与热带太平洋两类海温型关系的年代际差异

南海夏季风爆发日期在1993/1994年出现年代际偏早的转变,利用海温和再分析资料的研究证实西北太平洋增暖和两类海温型的年代际差异可能是导致此种变化的重要成因。进一步的研究揭示出在南海夏季风爆发出现年代际变化的背景下,南海夏季风爆发日期与太平洋海温的关系也出现明显的变化:1993/1994年之前的第一年代东太平洋(EP)型海温异常起主导作用,而1993/1994年之后的第二年代两类海温型均影响了季风爆发,但以中太平洋(CP)型海温异常为主。第一年代,东太平洋型增温(EPW)通过抑制西北太平洋-孟加拉湾的对流活动,在菲律宾海、孟加拉湾西部激发出两个距平反气旋,使越赤道气流建立偏晚、孟加拉湾低槽填塞、西北太平洋副热带高压增强,进而导致南海夏季风爆发偏晚,且其影响可从4月维持到5月;而中太平洋型增温(CPW)对季风爆发前期的流场无显著影响。第二年代,CPW通过抑制菲律宾-孟加拉湾东部的对流活动,在菲律宾-孟加拉湾激发出一个距平反气旋,使孟加拉湾低槽填塞、南海地区副高增强,进而阻碍季风爆发,且显著影响仅出现在4月;EPW对4月大气环流场的影响与第一年代较为接近,在菲律宾-孟加拉湾一带产生的风场、对流场异常稍弱于CPW,但其影响无法持续到5月。     

南海夏季风爆发与热带海洋海温和大气环流异常变化关系的研究

用合成和相关分析方法及SVD技术研究了南海夏季风爆发早、晚年份4～6月季风建立时期季风环流的异常及其与热带太平洋-印度洋海温的关系。结果表明,南海夏季风爆发与热带大气环流和海温变异密切相关。（1）当热带中、东太平洋—印度洋（主要在西南部）及南海海温低（高）,西太平洋—澳洲邻近海域海温高（低）时,南海夏季风爆发早（晚）。不同区域海温对季风的影响有明显的季节差异,印度洋主要为晚春至初夏（4～6月）,南海为5～6月,而热带太平洋从前冬一直持续到夏季。（2）不同的海温异常产生不同的季风环流型,南海夏季风爆发早、晚年大气环流的异常变化基本相反。南海夏季风的活动主要受印度季风环流变化的影响,与前期冬春季西太副高的强弱及位置变化密切相关。西太副高弱时,南海夏季风爆发早;反之,爆发晚。（3）热带太平洋—印度洋海温异常引起季风环流和Walker环流的异常变化可能是影响南海夏季风爆发早、晚的物理过程。     

热带北大西洋海温异常对南海夏季风的影响及其机理

利用HadiSST资料、CMAP降水资料和NCEP/NCAR再分析资料,分析了热带北大西洋(Northern Tropical Atlantic,NTA)海表温度异常(Sea Surface Temperature Anomaly,SSTA)与南海夏季风(South China Sea Summer Monsoon,SCSSM)的联系及可能机制。观测分析表明,夏季NTA海温异常与SCSSM存在显著的负相关关系;NTA海温正异常时,北半球副热带东太平洋至大西洋区域存在气旋式环流异常,有利于热带大西洋(热带中太平洋)地区产生异常上升(下沉)运动,使得西北太平洋地区出现反气旋环流异常,该反气旋环流异常西侧的南风异常使得SCSSM增强。利用春季NTA指数、东南印度洋海温异常指数、北太平洋海温异常指数、南太平洋经向模(South Pacific Ocean Meridional Dipole,SPOMD)及Niňo3.4指数构建了SCSSM季节预测模型,预测模型后报与观测的SCSSM指数的相关系数为0.81,表明该模型可较好预测SCSSM。     

1979—2017年南海SSTA时空特征及其与沃克环流异常的相关

利用1979—2017年HadISST月平均海面温度资料、ERA-Interim大气资料以及GPCP Version 2.3集合降水资料,分析了南海海面温度距平（SSTA）场的时空分布特征,并从南海降水异常的角度探讨了在ENSO期间,沃克（Walker）环流异常对南海海面温度异常（SSTA）的影响过程。结果表明,南海SSTA场分别存在全海域一致模态、东西反位相的偶极子模态以及纬向三级子正负位相三个主要模态,且三个模态都具有显著的准2 a及4 a左右的年际振荡周期,反映了南海SSTA与ENSO现象的高度相关性。对Walker环流异常的分析表明,Walker环流异常与ENSO事件及南海SSTA存在较好的相关。ENSO事件发生时,Walker环流异常移动通过“云辐射反馈过程”,使得南海海面温度（SST）发生改变,因此Walker环流在ENSO影响南海SST异常过程中起到“大气桥”的作用。     

A Comparative Analysis of Chemical Properties and Factors Impacting Spring Sea Fog over the Northwestern South China Sea

In the present study, we analyzed the chemical properties and factors impacting the sea fog water during two sea fog events over the northwestern South China Sea in March 2017, and compared our results with those of other regions. The sea fog water during these two events were highly acidic and their average pH was below 3, which was related to the high initial acidifying potential and large amounts of NO₃^- and SO₄^2- not involved in the neutralization ...     

基于卫星观测的南海表层温度气候学特征及长期变化

利用高分辨率AVHRR Pathfinder卫星海表温度资料,分析了1982-2012年南海及其毗邻海区海表温度（SST）的变化趋势,并给出了近30年该海域SST的气候学特征。结果表明：南海年平均SST随纬度的增加而降低,且越靠近陆地海温梯度越大,等温线呈西南-东北向分布;南海最高、最低SST分别出现在夏季和冬季;夏季中南半岛和海南岛东侧存在相对低温区,应与西南季风和地转偏向力共同作用引起的深层冷水涌升有关;近30年南海及毗邻海区年平均SST增温趋势为0.100℃/10a,20世纪90年代末到21世纪初年平均SST处于高值期,最高值出现在1998年;南海海区四季均存在变暖趋势,冬季增温趋势最大,为0.194℃/10a,夏、春季次之,分别为0.121℃/10a和0.107℃/10a,秋季最小,为0.086℃/10a;近30年台湾海峡和中国大陆东南沿海增温最显著,最大增温值达到0.7℃/10a以上。     

Submesoscale fronts observed by satellites over the Northern South China Sea shelf

Fronts are ubiquitous dynamic processes in the ocean, which play a significant role in the ocean dynamical and ecological environments. In this paper strong temperature fronts are investigated on the shelf of the Northern South China Sea using high resolution satellite data. These fronts have large horizontal gradients exceeding 1 °C km⁻¹ with spatial scales around several kilometers. The fronts generate meanders and eddies due to baroclinic instability, since these instabilities have spatial scales around the local first baroclinic mode deformation radius. The estimated Rossby number of the fronts is O(0.4), suggesting that the fronts tend to be ageostrophic and show submesoscale features. The Finite Size Lyapunov Exponent analysis of the generation mechanism indicates that the fronts are tightly related to the combined flow straining of geostrophic and Ekman currents.     

Impacts of land surface and sea surface temperatures on the onset date of the South China Sea summer monsoon

The present study analyzes the differences in spatial and temporal variations of surface temperatures between early and late onset years of the South China Sea summer monsoon (SCSSM). It is found that when the land surface temperature north of 40^oN is lower (higher) and the sea surface temperature over the South China Sea-western North Pacific (SCS-WNP) is higher (lower) in winter, the onset of the SCSSM begins earlier (later). When the land surface temperature north of 40^oN is higher (lower) and the sea surface temperature over the SCS-WNP is lower (higher) in spring, the onset of the SCSSM occurs earlier (later). The reason why the anomalies of the land surface temperatures north of 40^oN can influence the atmospheric circulation is investigated by analysis of the wind and temperature fields. In order to verify the mechanisms of influence over the land and sea surface temperature distribution patterns and test the ability of the p-σ regional climate model (p-σ RCM9) to simulate the SCSSM onset, three types of years with early, normal, and late SCSSM onset are selected and the SCSSM regimes are numerically simulated. According to the results obtained from five sensitive experiments, when the land surface temperature is higher in the eastern part, north of 40^oN, and lower in the western part, north of 40^oN, and it rises faster in the eastern coastal regions and the Indian Peninsula, while the sea surface temperatures over the SCS-WNP are lower, the early onset of the SCSSM can be expected.     

基于海温异常的南海夏季风爆发的可预报性分析

定义了综合评估南海地区大气对海温异常等外强迫响应的指数,并以此作为中间变量提出了利用前期海温异常预报南海夏季风爆发早晚的方法,进一步分析了基于海温异常的南海夏季风爆发的可预报性。分析表明:基于前期海温的异常,对于以日为单位预报对象的定量的南海夏季风爆发日期来说,基本没有可预报性;而对于定性的南海夏季风爆发早晚的预测,则可预报性大为提高。其预报时效可以提前至前期秋季的11月份。     

太平洋次表层海温与南海夏季风建立关系初探

通过合成分析和相关分析对南海夏季风爆发异常年份前期 0～ 40 0 m深度次表层海温的异常分布进行了讨论 ,发现北太平洋 (1 50°E～ 1 50°W,3 5～ 50°N)区域对季风爆发时间的早晚有着较为持续的影响 ,前冬 1 2 0～ 3 0 0 m深度尤其显著 ,具体表现为当前冬该海域海温偏低时 ,季风爆发偏晚 ,反之偏早 ;并通过定义一个北太平洋热力参数以表征该区域的热力作用 ,指出这一作用可能通过遥相关过程得以实现     

Prediction of the South China Sea Dipole Using SSA-MEM

ABSTRACT

A dipole structure appears in the sea surface height off the central coast of Vietnam during boreal summer in the South China Sea. This dipole, which possesses a chlorophyll signature associated with higher phytoplankton concentrations arising from nutrient upwelling, is important for the productivity of local fisheries. Multi-satellite sea level anomalies are used to investigate the life cycle of the dipole structure. By applying empirical orthogonal function (EOF) analysis, the third EOF mode (EOF 3) is found to represent the major variations of the dipole structure. By removing the temporal noise of EOF 3, a South China Sea dipole index is defined. This index captures the life cycle of the dipole including its generation, mature strength, and final termination. Both one-dimensional and two-dimensional forecasts are generated using a statistical forecasting method that combines singular-spectrum analysis and the maximum entropy method. The appearance of the dipole structure can be predicted with an accuracy of 78% at one-month lead times and an accuracy of 61% at one-year lead times.