协调大集合模拟下全球海表面温度对北极对流层早冬增暖的影响（英文）

本文使用六个不同的最新大气模式进行了协调数值集合实验,评估和量化了全球海表面温度(SST)对1982-2014年冬季早期北极变暖的影响.本研究设计了两组实验:在第一组(EXP1)中,将OISSTv2逐日变化的海冰密集度和SST数据作为下边界强迫场;在第二组(EXP2)中,将逐日变化的SST数据替换为逐日气候态.结果表明:(1) EXP1的多模式集合总体平均值显示0.4℃/10年的近地表(约850 hPa)升温趋势,为再分析数据结果中升温趋势的80%.(2)在这六个模式中,模拟的变暖趋势均很强,幅度为0.36-0.50℃/10年.(3)全球海表温度可以解释北极对流层中低层EXP1的大部分模拟的变暖趋势,占再分析数据结果的58%.(4)再分析数据结果中,北极上空的对流层上层变暖(约200 hPa)不是由强迫信号而可能是由自然气候变率引起的.本文还探索了影响北极初冬变暖的可能源区,并讨论了该研究的局限性.     

中国周边海域海面温度日变化对区域气候的影响

利用区域气候模式,分别以逐时海面温度(sea surface temperature, SST)数据及逐日SST数据作为模式的海表温度进行强迫,开展了1991～2010年共计20年的数值模拟,探讨SST日变化对中国区域气候变化的影响。对比结果表明,两组试验均能合理地再现中国区域气候的主要气候态特征。同时发现,两组试验模拟的气候特征在我国沿海区域以及近海洋面上存在明显差异:考虑SST日变化之后,2 m气温和感热通量差异呈现夏季(冬季)升高(降低)为主的趋势;潜热通量则与之相反;低层风场差异在夏季以海洋吹向大陆的东南风为主,冬季则以陆面吹向海洋的西北风差异为主;另外,水汽输送差异呈气旋式(反气旋式)时,降水出现正差异(负差异)。SST日变化对上述气候因子的影响在夏季更为显著。     

局地海表温度异常影响热带气旋路径的模拟研究

本文以热带气旋"鲇鱼"(2010)为例,利用WRF模式和"鲇鱼"移动路径上不同的局地海表温度(SST)强迫进行了敏感性数值模拟。控制试验(CTRL)采用NCEP的SST强迫,敏感性试验分别在"鲇鱼"登陆菲律宾前的路径上增加(EXP1)和减小(EXP2)SST。结果表明:CTRL试验模拟的热带气旋路径与实况非常一致,EXP1试验模拟的热带气旋路径提前转向,移动路径偏东,EXP2试验模拟的热带气旋路径转向滞后,且移动路径偏西。对SST异常导致热带气旋路径出现差异的原因分析发现,热带气旋在吕宋岛东侧经过异常暖SST海面时,热带气旋强度增强,产生异常的正涡度平流,且500 h Pa以上凝结潜热释放增强副热带高压敏感区出现温度场的正异常,500h Pa以下水凝物的混合和蒸发作用增强造成副热带高压敏感区温度场的负异常,加之正的异常涡度平流和异常的上暖下冷温度场配置使得500 h Pa位势高度降低,副热带高压强度减弱,副热带高压西伸范围减小,导致热带气旋提前向北转向,移动路径偏东。反之,当热带气旋在吕宋岛东侧经过异常冷SST海面时,副热带高压西伸范围扩大,导致热带气旋向北转向滞后,路径偏西。     

南海夏季风爆发前后南海海温之演变特征

利用1983—2002年NCEP/NCAR再分析的周平均海温（SST）场、逐日OLR、风场、海平面气压场、2 m高度空气比湿资料,及Woods Hole海洋研究所提供的OAFlux逐日潜热通量和ISCCP(国际卫星云气候计划)逐日短波辐射通量等资料,分析了南海地区季风爆发前后几周的南海多年平均SST随时间的演变和空间分布特征及其物理过程。结果表明：（1） 西南季风爆发前,南海全区SST显著升高,其中北部（17 ?N以北）升温幅度明显大于南部;从季风爆发到季风爆发后1周（季风爆发期）,南海全区SST急剧降低;之后几周（季风爆发后）,SST变化存在较明显的空间差异,南海北部转为升温趋势,而南部SST持续下降。（2） 季风爆发前,短波辐射增加,且南海北部增加幅度大于南部,导致南海SST上升且存在南北不均匀性。（3） 季风爆发期间,南海短波辐射急剧减少、潜热通量显著增加以及西南气流的突然增强共同导致SST的下降。（4） 季风爆发后,南海北部短波辐射增加而南部减少,对南北SST变化差异的产生有重要作用,同时近地层风场引起的海表动力过程也是影响SST变化的另一重要原因。（5） 季风爆发前后短波辐射的变化均和云量多少有关;季风爆发期间的潜热变化在南海南部主要是风速变化的结果,北部海气比湿差的贡献比较大。     

印度尼西亚群岛邻近海域SST对越赤道气流的影响

利用COADS资料研究了印度尼西亚群岛邻近海域海表面温度(SST)的季节变化特征,并根据热带大气扰动量的低阶模式,分析了印度尼西亚群岛邻近SST的季节变化对越赤道气流季节变化的影响.研究结果表明:印度尼西亚群岛邻近海域年平均SST基本上关于赤道对称分布,最高温度出现在赤道附近;由于南海SST冬季较低,冬季(北半球)SST的经向差最大值(大于2℃)出现在110°E附近;夏季(北半球)最大经向温差出现在130～145°E和110°E附近,它有利于105°E越赤道气流的形成和维持.     

20世纪印度洋气候变率特征

利用时间连续性相对较为理想的 GISST资料 ,分析了 2 0世纪印度洋气候变率的基本特征 ,探讨了它与赤道中、东太平洋和西太平洋暖池区气候变化之间的联系 ,结果表明 :(1 )北印度洋 SST的季节变化具有鲜明的季风特征 ,在西南季风爆发期 ,海温达到全年最冷 ;南印度洋 SST的季节循环特征较为合乎常规 ,大致落后太阳辐射季节循环 2个月左右 ;赤道印度洋沿着非洲东海岸 ,SST的季节变化受季风带影响显著 ,但在赤道中东印度洋 ,SST的季节循环特征不明显。(2 )印度洋 ,特别是 2 0°S以北的热带印度洋 SST的变化 ,具有显著的整体一致性 ,自 2 0世纪 50年代中期以来持续变暖 ,赤道印度洋增暖了大约 0 .6℃。当赤道中东太平洋出现暖异常时 ,2 0°S以北的热带印度洋海域同样出现暖异常 ;赤道印度洋 SST与 Nino3区指数的相关系数 ,在滞后 Nino 3区指数 4～ 5个月左右达到最大。 (3)西太平洋暖池区 SST的变化 ,与南印度洋西风漂流区、赤道北印度洋存在显著的正相关。在年代际的时间尺度上 ,赤道印度洋和西太平洋暖池区 SST的变率特征极为一致。 (4)南印度洋 SST的年际振荡幅度 ,远强于热带印度洋 ;南印度洋的 SST演变特征 ,从统计上看 ,更多地与西太平洋暖池 SST变化相协调。     

西北太平洋SST季内振荡及其与中国东部夏季降水季内振荡的关系

利用NOAA逐日海表面温度(sea surface temperature,SST)资料、NCEP/NCAR逐日风场和比湿资料以及中国国家气象信息中心提供的逐日降水资料,研究了西北太平洋气候SST的低频周期,进一步分析了夏季西北太平洋SST季节内振荡与中国东部同期降水异常的关系。结果表明:夏季西北太平洋季节内SST异常影响中国东部同期季节内降水最显著的三个区域为:长江中游及华南沿海;江淮流域;华北大部。其影响途径主要是通过西北太平洋季节内海温与850 h Pa环流场之间相互作用,在东亚沿岸自南向北逐渐形成气旋—反气旋—气旋(反气旋—气旋—反气旋)的波列结构,引起东亚沿海局地水汽的辐合辐散,使得中国东部夏季季节内雨带从江淮流域向华北推进(从华北南撤到长江中游及华南沿海地区)。     

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.     

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.     

西沙海域近百年SST上升速率估算

根据西沙海洋(环境监测)站的海面温度(SST)历史资料、1900—2016年Had ISST数据集中西沙海域1°×1°网格SST和其他气温历史资料,比较该海域不同气候基准期SST的差值,采用回归分析方法估算近100年、近56年SST的变化速率,探讨该海域SST变化与全球气候变暖的关系。结果表明:1)20世纪70年代以来西沙海域海洋站的SST基准值比Had ISST 1°×1°网格SST高0.13~0.19℃;2)1961—2016年西沙海域SST、南海区SST、华南沿岸SST与广东省年平均气温的上升速率在0.016~0.017℃/年之间;3)近100年西沙海域SST上升率为0.011℃/年,略高于同时期全球气候变暖速率(0.009℃/年)。     

Impact of global sea surface temperature on the recent early winter Arctic tropospheric warming in coordinated large ensemble simulations 协调大集合模拟下全球海表面温度对北极对流层早冬增暖的影响

Coordinated numerical ensemble experiments with six different state-of-the-art atmosphere models were used to evaluate and quantify the impact of global SST (from reanalysis data) on the early winter Arctic warming during 1982–2014. Two sets of experiments were designed: in the first set (EXP1), OISSTv2 daily sea-ice concentration and SST variations were used as the lower boundary forcing, while in the second set (EXP2) the SST data were replaced by the daily SST climatology. In the results, the multi-model ensemble mean of EXP1 showed a near-surface (~850 hPa) warming trend of 0.4 °C/10 yr, which was 80% of the warming trend in the reanalysis. The simulated warming trend was robust across the six models, with a magnitude of 0.36–0.50 °C/10 yr. The global SST could explain most of the simulated warming trend in EXP1 in the mid and low troposphere over the Arctic, and accounted for 58% of the simulated near-surface warming. The results also suggest that the upper-tropospheric warming (~200 hPa) over the Arctic in the reanalysis is likely not a forced signal; rather, it is caused by natural climate variability. The source regions that can potentially impact the early winter Arctic warming are explored and the limitations of the study are discussed.摘要本文使用六个不同的最新大气模式进行了协调数值集合实验, 评估和量化了全球海表面温度 (SST) 对1982–2014年冬季早期北极变暖的影响.本研究设计了两组实验:在第一组 (EXP1) 中, 将OISSTv2逐日变化的海冰密集度和SST数据作为下边界强迫场;在第二组 (EXP2) 中, 将逐日变化的SST数据替换为逐日气候态.结果表明: (1) EXP1的多模式集合总体平均值显示0.4 °C/10年的近地表 (约850 hPa) 升温趋势, 为再分析数据结果中升温趋势的80%. (2) 在这六个模式中, 模拟的变暖趋势均很强, 幅度为0.36–0.50 °C/10年. (3) 全球海表温度可以解释北极对流层中低层EXP1的大部分模拟的变暖趋势, 占再分析数据结果的58%. (4) 再分析数据结果中, 北极上空的对流层上层变暖 (约200 hPa) 不是由强迫信号而可能是由自然气候变率引起的.本文还探索了影响北极初冬变暖的可能源区, 并讨论了该研究的局限性.     

Opposing Trends of Winter Cold Extremes over Eastern Eurasia and North America under Recent Arctic Warming

Under recent Arctic warming, boreal winters have witnessed severe cold surges over both Eurasia and North America, bringing about serious social and economic impacts. Here, we investigated the changes in daily surface air temperature (SAT) variability during the rapid Arctic warming period of 1988/89–2015/16, and found the daily SAT variance, mainly contributed by the sub-seasonal component, shows an increasing and decreasing trend over eastern Eurasia and North America, respectively. Increasing cold extremes (defined as days with daily SAT anomalies below 1.5 standard deviations) dominated the increase of the daily SAT variability over eastern Eurasia, while decreasing cold extremes dominated the decrease of the daily SAT variability over North America. The circulation regime of cold extremes over eastern Eurasia (North America) is characterized by an enhanced high-pressure ridge over the Urals (Alaska) and surface Siberian (Canadian) high. The data analyses and model simulations show the recent strengthening of the high-pressure ridge over the Urals was associated with warming of the Barents–Kara seas in the Arctic region, while the high-pressure ridge over Alaska was influenced by the offset effect of Arctic warming over the East Siberian–Chukchi seas and the Pacific decadal oscillation (PDO)–like sea surface temperature (SST) anomalies over the North Pacific. The transition of the PDO-like SST anomalies from a positive to negative phase cancelled the impact of Arctic warming, reduced the occurrence of extreme cold days, and possibly resulted in the decreasing trend of daily SAT variability in North America. The multi-ensemble simulations of climate models confirmed the regional Arctic warming as the driver of the increasing SAT variance over eastern Eurasia and North America and the overwhelming effect of SST forcing on the decreasing SAT variance over North America. Therefore, the regional response of winter cold extremes at midlatitudes to the Arctic warming could be different due to the distinct impact of decadal SST anomalies.     

两类极区平流层异常增温的特征及其与850hPa温度的关系

采用NCEP/NCAR逐日再分析资料,将冬季极区平流层增温分为两种类型:Ⅰ型和Ⅱ型,并分析了两种类型增温的特征、机制及其与850hPa温度的关系。结果表明,波动强迫的强度和对流层的热量能否向上到达平流层是决定两类平流层异常增温的两个主要因素。Ⅰ型平流层增温期间,对流层也表现出了明显的增温特征,850hPa与平流层温度距平场呈现相当正压结构,极区和中纬度异常表现为反位相的振荡,呈现典型的北极涛动的特征;Ⅱ型平流层异常增温期间,增温异常仅局限在平流层范围内,平流层的中低层与高层呈现反位相的距平分布,850hPa温度距平场呈现无规则的分布特征。     

北极平流层冬季早期变暖的GCM模拟研究

观测表明北极平流层自20世纪70年代末以来在冬季早期 (11～12月) 存在变暖的趋势。为了验证该趋势是否是由于海面温度 (SST) 升高造成的, 我们使用观测的全球SST强迫一个全球大气环流模式 (AGCM)。集合模拟的结果表明, 在SST强迫下, 北极平流层呈现统计显著的变暖趋势, 极地对流层也有相对较弱的变暖趋势, 但统计显著性较低。通过对模拟的位势高度进行经验正交函数 (EOF) 分析, 我们发现北半球位势高度第一模态 (EOF1) 的空间结构非常类似于北极涛动 (AO) 或北半球环状模 (NAM), 其平流层主分量时间序列在冬季早期呈现统计显著的负趋势。与负的AO趋势相对应的是, 对流层高纬度和平流层中高纬度波动增强, 说明极区变暖是由于波动增强产生的极区绝热加热增强造成的。另外, 模拟的结果还表明北极平流层不仅在冬季早期出现变暖的趋势, 在冬季晚期 (2～3月) 北极平流层低层也出现弱的变暖趋势。SST强迫导致北极平流层冬季变暖不利于异相臭氧化学反应的发生, 这对极地平流层臭氧恢复有着重要意义。     

2015年12月29日北极地面爆发性增温的成因分析

利用2015年NCEP/NCAR再分析一日四时次资料和日资料,应用区域平均、热流量方程估算等方法对2015年12月29日北极爆发性增温的原因进行研究。结果表明,2015年12月29日北极出现爆发性增温,日增温幅度最高达到25℃以上。增温期间,受到强盛温带气旋系统和反气旋系统的共同作用,增温区域出现强盛的南风,风速最大值达到20 m s-1以上,位置不断北进达到北极点。强盛的南风为北极地区带来强盛的暖平流,同时暖湿空气进入北极后,增温区上空云量明显增加。12月28日至12月29日温度平流由冷平流转变为暖平流,暖平流的中心区域与温度爆发性增长的区域有很好的对应关系,暖平流是北极爆发性增温的重要原因。对于一直处于极夜的北极地区,由于云量的增加,大气顶向上长波辐射减少,加剧了温度的上升。温度平流增温贡献率为20.4%,垂直项的贡献率为－9.9%,非绝热作用贡献率为89.5%,温度平流和非绝热作用共同导致了本次北极地区的爆发性增温,非绝热作用是本次爆发性增温最重要的增温因素。     

Vertical structure of recent arctic warming from observed data and reanalysis products

Spatiotemporal patterns of recent (1979–2008) air temperature trends are evaluated using three reanalysis datasets and radiosonde data. Our analysis demonstrates large discrepancies between the reanalysis datasets, possibly due to differences in the data assimilation procedures as well as sparseness and inhomogeneity of high-latitude observations. We test the robustness of arctic tropospheric warming based on the ERA-40 dataset. ERA-40 Arctic atmosphere temperatures tend to be closer to the observed ones in terms of root mean square error compared to other reanalysis products used in the article. However, changes in the ERA-40 data assimilation procedure produce unphysical jumps in atmospheric temperatures, which may be the likely reason for the elevated tropospheric warming trend in 1979–2002. NCEP/NCAR Reanalysis data show that the near-surface upward temperature trend over the same period is greater than the tropospheric trend, which is consistent with direct radiosonde observations and inconsistent with ERA-40 results. A change of sign in the winter temperature trend from negative to positive in the late 1980s is documented in the upper troposphere/lower stratosphere with a maximum over the Canadian Arctic, based on radiosonde data. This change from cooling to warming tendency is associated with weakening of the stratospheric polar vortex and shift of its center toward the Siberian coast and possibly can be explained by the changes in the dynamics of the Arctic Oscillation. This temporal pattern is consistent with multi-decadal variations of key arctic climate parameters like, for example, surface air temperature and oceanic freshwater content. Elucidating the mechanisms behind these changes will be critical to understanding the complex nature of high-latitude variability and its impact on global climate change.     

Spatial and temporal characteristics of minimum temperature in winter in China during 1961–2010 from NCEP/NCAR reanalysis

Based on the surface 2?m monthly minimum temperature from the National Centers for Environmental Prediction/National Center for Atmospheric Research reanalysis dataset, the spatial and temporal characteristics of winter minimum temperature during 1961–2010 have been analyzed in China. Results showed that the minimum temperature in China has a significant increasing rate of 0.25° per decade calculated by the Mann–Kendall statistical test, which is consistent with the global warming trend. Empirical orthogonal function (EOF) analysis reveals that there are three main patterns that can explain more than 57.6% of the total variance of the winter minimum temperature. The EOF1, EOF2, and EOF3 account for 34.8%, 13.5%, and 13.5% of the total inter-annual variance, respectively. The EOF1, EOF2, and EOF3 patterns are synchronous in northern China, central China, and on the Tibetan Plateau. There exist a decrease trend in the corresponding time coefficients of EOF1 and EOF2 and an increase trend in that of EOF3 since the 1960s. Both the corresponding time coefficients of EOF1 and EOF2 have significant positive correlations with the 500?hPa geopotential heights of the Arctic region and negative correlations in the regions lower than 40°N, while a significant positive correlation is found between the corresponding time coefficients of EOF3 and 500?hPa geopotential heights in the low latitudes. This suggests that rapid warming occurs in northern China and on the Tibetan Plateau, while the weakest trend locates in southeast China. Thus, warming in winter is more pronounced at higher altitudes and latitudes. These patterns are tightly connected with the atmospheric circulation.     

前期春季北太平洋海温异常与冬季北半球极涡的关系

利用NCEP/NCAR再分析资料和NOAA海温资料,用EOF、相关分析等方法,分析了1960—2010年500 hPa和100 hPa等压面上北半球后冬(2月)极涡面积和前春(4月)北太平洋(20~60 °N,120 °E~120 °W)海表温度(SST)的变化特征,揭示了二者的时空联系。结果表明:近50 a来,(1)冬季北半球500 hPa和100 hPa极涡面积整体经历了先扩张后收缩的变化。春季北太平洋SST经历了先降低后升高的变化。其突变时间与500 hPa极涡面积的突变时间相近,均出现在1987年,且与后冬500 hPa大西洋欧洲大陆区(Ⅳ区)极涡面积相关更好。(2)春季北太平洋SST的EOF第一模态空间型表现为PDO,第二模态表现为三极子型,突变分别出现在1980s初期和中期。(3)北太平洋SST与500 hPa Ⅳ区极涡面积相关的空间分布表现为:当前期春季北太平洋中部海温异常偏高(低),南部和北部海温异常偏低(高),使得下一个冬季500 hPa Ⅳ区极涡面积的扩大(缩小),这种空间遥相关型对应着海温的第二模态。北太平洋海温异常以第一模态空间型居多,但是对后冬北半球极涡面积影响大的却是第二模态。(4)当前春北太平洋SST呈第二模态时,对应次年冬季中高纬度对流层温度"上冷下暖",极地东风和绕极西风环流加强,极涡面积偏大。     

The 2009 Summer Low Temperature in Northeast China and Its Association with Prophase Changes of the Air-Sea System

Under the background of global warming, summer (JJA) low temperature events in Northeast China had not occurred for about 15 yr since 1994, but one such event took place in 2009. By using the NCEP/NCAR reanalysis data, the 100-yr station temperature data at Harbin and Changchun, and the Hadley Center sea surface temperature (SST) data, this paper intends to reveal the cause, circulation background, and influencing factors of this event. Analysis of both horizontal and vertical circulations of a low-value system over Northeast China in summer 2009 during the low temperature event shows that anomalous activities of the Northeast China cold vortex (NECV) played the most direct role. A decadal cooling trend of-0.8 C (10 yr)-1 over 1999-2008 at Changchun and Harbin was found, which is obviously out-of-phase with the linear warming trend (0.2 C (10 yr)-1 ) over 1961-2000 for Northeast China in response to the global warming. The previous winter North Pacific polar vortex (NPPV) area index, significantly positively related to the observed summer temperatures of Harbin and Changchun, was also in a significantly declining tendency. These provide favorable decadal backgrounds for the 2009 low temperature event. Different from the average anomaly field of 500-hPa height for summer 1994-2008 in Northeast China, in the summer of 2009, the Arctic Oscillation (AO) showed a strong negative phase distribution, and significant negative height anomalies dominated Northeast Asia, Aleutian Islands, and North Atlantic. Furthermore, the negative phase of North Pacific Oscillation (NPO) in the winter of 2008 was obviously strong, and it maintained in the spring of 2009. Meanwhile, the SSTA in the equatorial eastern-central Pacific Ocean in the winter of 2008 showed a La Nina phase, but the strength of the La Nina weakened obviously in the spring of 2009. The abnormally strong activities of NECV in June and July of 2009 were related to the disturbances of stationary waves that replaced the original ultra-long waves over the North Pacific region in April and May 2009. The singular value decomposition (SVD) and harmonic analysis results suggest that the anomalous phase of NPO is an important precursor for summer temperature variations over Northeast China, and also a stable planetary-scale component that can be extracted from the atmospheric circulation in addition to the chaotic components on the synoptic scale.