2008年夏季风期间西沙海域海-气通量交换及热量收支

2008年4—10月在中国南海西沙永兴岛近海进行了第4次海-气通量观测试验,获得了整个夏季风期间近海面层湍流脉动量及辐射、表层水温、波浪及距水面3.5、7.0、10.5m高度温、湿、风梯度观测资料,根据涡动相关法和COARE3.0法计算结果研究了2008年南海西南季风爆发、发展、中断、衰退包括暴雨、台风、冷空气影响等天气过程中海-气通量交换和热量收支变化。结果表明:(1)季风爆发前的晴天太阳总辐射强,而海洋失热量较小,热量净收支为较大正值,海面温度迅速升高。季风爆发期太阳总辐射仍然较强,大气长波辐射也有所增强,而海面长波辐射变化很小,故海面净辐射收支仍为正值;(2)季风活跃期特别是降水阶段感热通量增大,季风中断阶段变小;季风活跃期虽然潜热通量增大,由于太阳短波辐射没有减少,海洋净热量收支稍有盈余;中断阶段潜热通量、感热通量减少,海洋吸热大于季风活跃期;降水阶段由于太阳短波辐射减小,感热通量增大,海洋热量收支出现较大负值,海面温度很快降低。季风衰退期风力减弱,湿度减小,潜热通量减小,海洋热量收入又出现较大正值,海面温度回升;(3)台风影响过程中潜热通量随着风速增强迅速增大;感热通量因降水情况不同而有差异,晴天时减小,大雨时剧烈增大;由于太阳短波辐射减少、潜热通量剧增,海洋热量净收支出现负值,促使海面温度迅速降低;(4)动量通量主要与海表面风速有关;动量通量τ与风速V的关系可以表示为τ=0.00171v~2-0.003809v+0.02213。     

南海海洋站观测海气热通量的时间演变特征

为探索西沙和南沙海气热通量时间演变特征,用海洋站观测资料计算了1998年南海夏季风爆发前后,海气界面热量交换值及海面热收支年循环。结果表明：季风爆发前,西沙海气界面热量交换较弱,水汽通量较小,以海洋获得热量为主;季风爆发后,海气界面热量交换接近平衡。南沙全年主要是海洋对大气加热。南沙和西沙海面吸收短波辐射年周期特征明显,极大值出现在冬半年。西沙海面潜热通量存在半年周期特征,极大值也是出现在冬半年。结论：冬半年海面热通量变化对翌年的季风将产生重要影响。     

1998年南海季风试验期间海 气通量的估算

根据1998年南海季风试验西沙海面铁塔梯度观测资料，利用总体（Bulk）系数法和多层结通量廓线法对西沙海面的海-气通量进行了估算，得出两种方法估算的潜热通量、感热通量基本一致。总体系数法估算的潜热通量比多层结通量廓线法略大1～3 W·m-2，感热通量小0～1.5 W·m-2。一般而言，季风爆发期间潜热输送逐渐增加；季风爆发前期夜间潜热通量比季风爆发后期大；季风爆发后期，白天潜热通量明显大于爆发初期和中期。感热通量季风爆发前海面向大气输送，爆发后期大气向海面输送。动量通量和摩擦速度随风速增加。     

1998年夏季风爆发前后南海上混合层的特征及成因

利用1998年“南海季风实验（SCSMEX）”南北部两个点的资料,采用J.Launianen和T.Vihma提出的方法,计算了潜热通量、感热通量和风应力,分析了南海上混合层动力、热力特征及其与南海夏季风爆发之间的关系。发现在西南季风爆发前后,南海北部、南部的两个观测点的海洋上混合层温度和深度随时间的变化具有不同的特点：北部混合层温度经历由高到低再变高,混合层深度经历由浅变深再变浅的3个时段;南部混合层温度经历由低到高再变低,混合层深度经历由深变浅再变深的3个时段。这与南海南、北部海面的风和海面热通量具备不同的特征有关。在5～6月南海上混合层动力、热力特征基本受局地风与短波辐射控制,海面潜热和感热的作用较小。在5月份,南海南部观测点海面附近存在浅薄的高盐高密度层,在60m以上的上层海洋内存在着许多高盐高密度核。在1998年“南海季风实验”期间南海南、北部两个观测点都存在较浅薄的障碍层,在西南季风爆发期间,南海北部观测点的障碍层较厚达到20m以上。     

冬季台风“南玛都”结构性质的初步研究

利用1982～2001年NCEP/NCAR再分析的周平均SST场、逐日表面热通量场及近地层10米高度风场资料,分析了南海地区季风爆发前后几周南海多年平均SST随时间的变化和空间分布特征及其影响因子.结果表明,南海季风爆发前,SST急剧升高,季风爆发后,SST的变化呈现比较明显的空间差异,南海北部SST继续上升,而南部SST持续下降.南海季风爆发前,海面净得热,这是季风爆发前南海SST上升的主要原因.季风爆发后几周,海面净得热减少,此时的海表净热通量收支与SST无显著相关.而季风爆发期和爆发后几周,南海SST变化的不均匀性与西南气流具有很好的相关性,南海的降温区呈东北-西南走向,与低层西南气流的方向一致.因而,在季风爆发后的一段时间内,近地层风场导致的海洋表面及内部动力过程是影响南海SST变化的另一重要因子.     

西南季风爆发前后南海SST变化特征及影响因子分析

利用1982-2001年NCEP／NCAR再分析的周平均SST场、逐日表面热通量场及近地层10米高度风场资料,分析了南海地区季风爆发前后几周南海多年平均SST随时间的变化和空间分布特征及其影响因子。结果表明,南海季风爆发前,SST急剧升高,季风爆发后,SST的变化呈现比较明显的空间差异,南海北部SST继续上升,而南部SST持续下降。南海季风爆发前,海面净得热,这是季风爆发前南海SST上升的主要原因。季风爆发后几周,海面净得热减少,此时的海表净热通量收支与SST无显著相关。而季风爆发期和爆发后几周,南海SST变化的不均匀性与西南气流具有很好的相关性,南海的降温区呈东北-西南走向,与低层西南气流的方向一致。因而,在季风爆发后的一段时间内,近地层风场导致的海洋表面及内部动力过程是影响南海SST变化的另一重要因子。     

西南季风爆发前后南海SST变化特征及影响因子分析

利用1982～2001年NCEP/NCAR再分析的周平均SST场、逐日表面热通量场及近地层10米高度风场资料,分析了南海地区季风爆发前后几周南海多年平均SST随时间的变化和空间分布特征及其影响因子.结果表明,南海季风爆发前,SST急剧升高,季风爆发后,SST的变化呈现比较明显的空间差异,南海北部SST继续上升,而南部SST持续下降.南海季风爆发前,海面净得热,这是季风爆发前南海SST上升的主要原因.季风爆发后几周,海面净得热减少,此时的海表净热通量收支与SST无显著相关.而季风爆发期和爆发后几周,南海SST变化的不均匀性与西南气流具有很好的相关性,南海的降温区呈东北-西南走向,与低层西南气流的方向一致.因而,在季风爆发后的一段时间内,近地层风场导致的海洋表面及内部动力过程是影响南海SST变化的另一重要因子.     

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。     

1998年南海及其附近地区夏季风的爆发特征及其机制分析

利用NCEP/NCAR 1998年再分析资料和SS T资料, 研究了1998年南海季风爆发的特征及其机制。结果显示, 南海及其附近地区夏季风爆发分为3个阶段, 并具有不同的特征, 在南海季风爆发前, 南海海温已提前突然增温达极高值, 感热通量梯度在海陆之间的转换可能是引起东亚副热带季风和南海季风爆发的重要因子。     

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。     

OBSERVATIONAL STUDY OF AIR-SEA FLUXES DURING THE SCS SUMMER MONSOON IN 2000——FEATURES OF THERMAL BUDGET AT THE SEA SURFACE*

This paper is devoted to the features of sea-surface heat budget during the active/break phases of the 2000 summer monsoon in the South-China Sea(SCS) by means of the observed air-sea heat fluxes and data from Xisha Weather Station and NCEP/NCAR in the same period.Results suggest that the primary factors affecting sea-surface thermal budget are solar shortwave penetrating radiation and latent heat flux.Regardless of their changes,however,the thermal gain is reduced or becomes net loss at the active stage and the thermal gain gets gradually increased in the weakening and lull periods:during the first emergence of southwest monsoon the net loss happens thanks to the dramatic diminution of penetrating radiation resulting from increased cloudiness and intense precipitation:while at the re-emergence of the wind.reduced net sea-surface thermal gain is attributed to the sharp increase in latent heat flux resulting from intense evaporation:owing to great thermal inertia of water the SST change lags behind that of heat budget over the sea surface, and the lagging is responsible for regulating the budget by affecting latent heat fluxes,which,in turn.has effect upon the change of the SST,thereby forming short-term oscillations that are in association with the active/break phases of the monsoons.Part of the conclusions have been borne out by the observational study based on 1998 and 2002 data.     

南海季风建立前后珠江三角洲的陆气热量交换与热力边界层结构特征

根据动力与热力指标,2004和2005年南海季风建立前后可分成明显的4个阶段——季风建立前的雨期、非雨期;季风建立后的活跃期与非活跃期。对2004和2005年南海季风建立前后的广州番禺综合外场观测资料进行分析,得到了这4个阶段陆气热量交换与热力边界层的主要特征:净辐射与净短波辐射的变化趋势基本一致,净短波辐射与净长波辐射之比为3.49—4.81,净短波辐射是净辐射的主要贡献项,云量与降水是控制净短波辐射与净辐射的直接因素;季风活跃期间午间对流云系对太阳辐射衰减显著,造成了辐射各分量以及热通量的峰值区变窄,量值急剧变小;季风建立前后感热与潜热均是净辐射的主要消耗项,占净辐射的90%以上,潜热明显大于感热,2005年较2004年潜热的分配额有明显的增加,其原因可能与近地层的风速较大,总是维持向上的湿度梯度有关;季风建立前后除季风活跃期外边界层位温结构均具有明显的日变化特征,午间混合层可发展至1070m,而季风活跃期间午间混合层发展受到对流云释放潜热的抑制,导致季风活跃期混合层消失的现象,分析还发现季风建立前后各阶段夜间残余混合层均不明显。分析表明引起陆气能量过程及边界层热力结构差异的关键因素之一是云系与降水,加强边界层过程与降水宏微观过程相互作用的研究是深入认识陆气过程与边界层结构特征的关键。     

Individual and combined impacts of ENSO and East Asian winter monsoon on the South China Sea cold tongue intensity

A region of low sea surface temperature (SST) extends southward in the central part of southern South China Sea during boreal winter, which is called the South China Sea cold tongue (SCS CT). The present study investigates the factors of interannual variation of SST in the SCS CT region and explores the individual and combined impacts of El Niño-Southern Oscillation (ENSO) and East Asian winter monsoon (EAWM) on the SCS CT intensity. During years with ENSO alone or with co-existing ENSO and anomalous EAWM, shortwave radiation and ocean horizontal advection play major roles in the interannual variation of the SCS CT intensity. Ocean advection contributes largely to the SST change in the region southeast of Vietnam. In strong CT years with anomalous EAWM alone, surface wind-related latent heat flux has a major role and shortwave radiation is secondary to the EAWM-induced change of the SCS CT intensity, whereas the role of ocean horizontal advection is relatively small. The above differences in the roles of ocean advection and latent heat flux are associated with the distribution of low level wind anomalies. In anomalous CT years with ENSO, low level anomalous cyclone/anticyclone-related wind speed change leads to latent heat flux anomalies with effects opposite to shortwave radiation. In strong CT years with anomalous EAWM alone, surface wind-related latent heat flux anomalies are large as anomalous winds are aligned with climatological winds.

     

On the subarctic North Atlantic cooling due to global warming

Various ocean reanalysis data reveal that the subarctic Atlantic sea surface temperature (SST) has been cooling during the twentieth century. A similar cooling pattern is found in the doubling CO₂ experiment obtained from the CMIP3 (coupled model intercomparison project third phase) compared to the pre-industrial experiment. Here, in order to investigate the main driver of this cooling, we perform the heat budget analysis on the subarctic Atlantic upper ocean temperature. The net surface heat flux associated with the increased concentration of greenhouse gases heats the subarctic ocean surface. In the most of models, the longwave radiation, latent heat flux, and sensible heat flux exert a warming effect, and the shortwave radiation exerts a cooling effect. On the other hand, the thermal advection by the meridional current reduces the subarctic upper ocean temperature in all models. This cold advection is attributed to the weakening of the meridional overturning circulation, which is related to the reduction in the ocean surface density. In particular, greater warming of the surface air than of the sea surface results in the reduction of surface evaporation and thereby enhanced freshening of the ocean surface water, while precipitation change was smaller than evaporation change. The thermal advections by both the wind-driven Ekman current and the density-driven geostrophic current contribute to cooling in most of the models, where the heat transport by the geostrophic current tends to be larger than that by the Ekman current.     

海-陆-气全球耦合模式能量收支的误差

通过分析GOALS模式两个版本GOALS 1.1和GOALS 2的能量收支 ,并与观测对比 ,结果表明 :模式模拟的地表净短波辐射通量在高纬地区偏低 ,而净长波辐射通量又偏高 ,导致极地表面温度偏低 ,感热通量在高纬地区为很高的负值。而在陆地上感热加热作用显著偏强 ,使地表有较大的向上净能量给大气 ,引起陆地上有些暖中心也偏强 ,这也解释了模式模拟地表面空气温度场的误差原因。海洋上潜热通量偏低 ,特别是在副热带洋面上偏少更明显。陆地上的欧亚和北美大陆大部分地区潜热通量仍偏低。这也是模式降水在大部分地区偏少的重要原因。两模式大气顶OLR偏低的模拟主要是在中低纬度 ,大气顶净短波辐射通量的模拟在中低纬度虽然与NCEP结果接近 ,但与地球辐射收支试验ERBE资料比较仍偏小较多 ,说明改进中低纬度云 辐射参数化方案对改进全球能量收支的模拟有重要意义。GOALS 2模式中诊断云方案模拟的云量除赤道地区外普遍偏小 ,尤以中纬度为甚 ,造成那里能量收支出现大的误差 ,这表明了更好的云参数化方案的引入是今后模式发展的重要任务之一     

FGOALS耦合模式对赤道太平洋海温和降水年循环的模拟评估

本文评估了中国科学院大气物理研究所大气科学和地球流体力学数值模拟国家重点实验室（LASG/IAP）研发的全球气候系统模式（FGOALS）的4个版本（FGOALS-g2、s2、g3、f3-L）对赤道太平洋地区的海温、降水气候态和季节循环的模拟能力。本文从海气耦合机制和热量收支的角度对耦合模式结果和相应的大气模式比较计划试验（AMIP）进行了对比分析,探讨了造成这一地区海温和降水模拟偏差的原因。结果显示,上一代模式g2和s2的海表温度均方根误差大于2°C,新一代模式g3和f3-L模拟的均方根误差降低50%,为1°C左右。因为新版本中赤道太平洋地区的净短波辐射平均态误差的减小,海洋上层热量动力输送过程的改善和净短波辐射与海温回归关系改进,赤道太平洋地区海温的平均态,南北温度和降水的不对称性都更加接近观测。f3-L比g3在上述方面改进更多,海温也更加合理。但是新一代版本模拟的降水均没有显著改进,赤道北侧ITCZ的降水偏大4 mm d?1。对流降水带来的凝结潜热释放加强了南北非绝热加热梯度,越赤道南风偏差抵消了一部分因为短波辐射偏大带来的海温偏暖,这说明海温平均态的改善是模拟误差相互抵消的结果。在季节循环的模拟方面也存在类似的现象,f3-L和g3中的海温年循环有所改进但较观测振幅仍旧偏弱。这是因为f3-L和g3模拟的经向风和潜热的年循环振幅比前版本要偏强,误差加大的同时也更大地抵消短波辐射的年循环偏差。g2和s2模拟的海温在赤道东太平洋则存在一个虚假半年循环分量,这主要是由潜热通量半年循环偏差所引起的。     

Causes of the Intraseasonal SST Variability in the Tropical Indian Ocean

Satellite observations reveal a much stronger intraseasonal sea surface temperature (SST) variability in the southern Indian Ocean along 5-10oS in boreal winter than in boreal summer. The cause of this seasonal dependence is studied using a 2?-layer ocean model forced by ERA-40 reanalysis products during 1987-2001. The simulated winter-summer asymmetry of the SST variability is consistent with the observed. A mixed-layer heat budget is analyzed. Mean surface westerlies along the ITCZ (5-10oS) in December-January-February (DJF) leads to an increased (decreased) evaporation in the westerly (easterly) phase of the intraseasonal oscillation (ISO), during which convection is also enhanced (suppressed). Thus the anomalous shortwave radiation, latent heat flux and entrainment effects are all in phase and produce strong SST signals. During June-July-August (JJA), mean easterlies prevail south of the equator. Anomalies of the shortwave radiation tend to be out of phase to those of the latent heat flux and ocean entrainment. This mutual cancellation leads to a weak SST response in boreal summer. The resultant SST tendency is further diminished by a deeper mixed layer in JJA compared to that in DJF. The strong intraseasonal SST response in boreal winter may exert a delayed feedback to the subsequent opposite phase of ISO, implying a two-way air-sea interaction scenario on the intraseasonal timescale. Citation: Li, T., F. Tam, X. Fu, et al., 2008: Causes of the intraseasonal SST variability in the tropical Indian ocean, Atmos. Oceanic Sci. Lett., 1, 18-23     

Future projections of the surface heat and water budgets of the Mediterranean Sea in an ensemble of coupled atmosphere–ocean regional climate models

Within the CIRCE project “Climate change and Impact Research: the Mediterranean Environment”, an ensemble of high resolution coupled atmosphere–ocean regional climate models (AORCMs) are used to simulate the Mediterranean climate for the period 1950–2050. For the first time, realistic net surface air-sea fluxes are obtained. The sea surface temperature (SST) variability is consistent with the atmospheric forcing above it and oceanic constraints. The surface fluxes respond to external forcing under a warming climate and show an equivalent trend in all models. This study focuses on the present day and on the evolution of the heat and water budget over the Mediterranean Sea under the SRES-A1B scenario. On the contrary to previous studies, the net total heat budget is negative over the present period in all AORCMs and satisfies the heat closure budget controlled by a net positive heat gain at the strait of Gibraltar in the present climate. Under climate change scenario, some models predict a warming of the Mediterranean Sea from the ocean surface (positive net heat flux) in addition to the positive flux at the strait of Gibraltar for the 2021–2050 period. The shortwave and latent flux are increasing and the longwave and sensible fluxes are decreasing compared to the 1961–1990 period due to a reduction of the cloud cover and an increase in greenhouse gases (GHGs) and SSTs over the 2021–2050 period. The AORCMs provide a good estimates of the water budget with a drying of the region during the twenty-first century. For the ensemble mean, he decrease in precipitation and runoff is about 10 and 15% respectively and the increase in evaporation is much weaker, about 2% compared to the 1961–1990 period which confirm results obtained in recent studies. Despite a clear consistency in the trends and results between the models, this study also underlines important differences in the model set-ups, methodology and choices of some physical parameters inducing some difference in the various air-sea fluxes. An evaluation of the uncertainty sources and possible improvement for future generation of AORCMs highlights the importance of the parameterisation of the ocean albedo, rivers and cloud cover.