多套大气再分析资料的南亚高压强度变化特征及其与海表温度异常关系的比较分析

以往的研究中多采用NCE/NCAR再分析资料来讨论南亚高压的变化特征及其与海表温度的关系,鉴于其分析结果具有一定的片面性,本文采用ERA40、ERA—Interim、NCEWNCAR、NCEP—DOE和JRA．25五套再分析资料,以及应用全球、热带印度洋和热带大西洋1978--2008年逐月观测海表温度分别驱动NCARCAM5．1全球大气环流模式的数值模拟结果,比较了它们的夏季南亚高压强度变化特征及其与海表温度的关系。再分析资料问的比较结果表明,NCEWNCAR、NCEP—DOE两套再分析资料与ERA40、ERA—Interim、JRA-25三套再分析资料的南亚高压强度变化在20世纪70年代末至90年代初存在非常明显的差异,前两套再分析资料揭示的该时段南亚高压强度显著偏高,可能是不真实的,进而导致南亚高压强度与海表温度异常的关系与后三套再分析资料的结果差异明显。ERA40、ERA—Interim和JRA-25三套再分析资料和数值试验结果均表明,20世纪70年代末以后,夏季南亚高压强度异常与前期冬季、春季及同期夏季的热带印度洋海表温度异常关系持续密切,表明热带印度洋是影响夏季南亚高压强度变化的关键海区。当热带印度洋偏暖时,热带地区对流层温度增暖,南亚高压强度增强、面积增大、南扩、东伸西展,反之亦然。     

1979年以来南极平流层冬季变暖

极地气候比其他区域有着更为显著的变化,这不仅反映在极地近地面和对流层,也同样反映在平流层。使用NCEP/NCAR、NCEP/DOE和ERA40月平均再分析资料,研究了南极平流层温度和位势高度的年代际变化趋势。结果表明,自1979年以来在冬季南极平流层存在变暖的趋势。分析NCEP/NCAR和NCEP/DOE再分析资料的结果是变暖主要出现在7—10月,最大增温位于30hPa,27a(1979—2005年)的最大增温幅度超过7℃。分析ERA40的结果是变暖主要出现在6—9月,较NCEP/NCAR和NCEP/DOE早1个月,最大增温位于平流层上层(5和3hPa),23a(1979—2001年)的最大增温幅度超过10℃。在平流层高层,最大增温位于极区中心;在平流层中低层,最大增温位于极区外围偏向澳大利亚一侧。伴随着温度的升高,南极平流层的位势高度也存在升高的趋势。在NCEP/NCAR和NCEP/DOE再分析资料中,最大位势高度升高位于10hPa,27a里的升高幅度超过450m。ERA40给出的结果相对弱一些,23a里的最大升高幅度接近300m。进一步的计算结果表明,进入南半球平流层的波动通量也有增加的趋势,可能是平流层波动增强导致了向南极的残余环流增强,与之相关的极圈内下沉运动也随之增强,下沉运动产生绝热加热,从而造成南极平流层增温和位势高度升高。     

两个大气环流模式SAMIL和BCC_AGCM对北半球冬季极涡振荡的模拟对比

基于与NCEP再分析资料的比较, 本文利用大气环流模式SAMIL和北京气候中心大气环流模式BCC_AGCM的1950～1999年的AMIP试验模拟数据, 对北半球冬季环流及平流层极涡振荡的模拟性能进行了评估分析。结果表明两个模式都可以再现北半球环流基本型以及环流振荡的主导模态。对冬季气候平均态的模拟, 两个模式模拟的热带—热带外温度梯度均偏大, 极夜急流偏强, 极涡偏冷偏强;100～20 hPa平均位势高度场谐波分析表明两个模式模 拟的行星波偏弱;气候平均的10 hPa极夜急流均存在1个月的季节漂移, 200 hPa副热带西风急流较NCEP偏弱。两个模式模拟的环流变化的主导模态均代表极涡振荡, SAMIL极涡振荡的强度大于BCC_AGCM, BCC_AGCM极涡振荡的频率要高于SAMIL。连续功率谱分析表明, NCEP资料中极涡振荡存在4.6个月的显著周期, 相应地, SAMIL中为5.5个月的显著周期, BCC_AGCM中为4.8个月。NCEP资料中的极涡振荡主要发生在12～3月, SAMIL模拟的极涡振荡主要发生在2～3月, BCC_AGCM模拟的极涡振荡主要发生在2～4月。     

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。     

热带大气季节内振荡的季节性特征及其在SAMIL-R42L9中的表现

分析了NCEP资料和SAMIL-R42L9中热带大气季节内（30～60天）振荡（ISO）的季节变化特征及其与平均气候场季节变化的关系。NCEP资料的分析表明：热带地区大气ISO在空间分布上存在明显的季节变化,大气ISO的季节变化与平均背景场的季节变化有明显的一致性。在空间分布上,热带大气ISO的活动对暖的SST、强的对流活动、西风、强的降水和低层水汽辐合有很强的依赖性。大气环流模式SAMIL-R42L9基本能够再现热带大气ISO空间分布上的季节转换特征,尤其在动力场（纬向风）上表现得最为明显。但对基本气候态季节变化的模拟,对不同的物理量有明显的差异。模式结果表明：热带大气ISO动力因子的季节性比热力因子的季节性对平均背景场的依赖性更大,模式不能很好地反映NCEP资料表现出来的ISO对平均背景场的强依赖性,同时也说明热带大气ISO的季节性可能并不完全依赖于平均背景场的季节变化。     

大气季节内振荡的数值模拟 Ⅱ. 全球变暖的影响

利用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)发展的耦合气候模式FGOALS1.0_g控制试验、二氧化碳 (CO2)浓度加倍试验模拟结果及实测结果 (NCEP/NCAR逐日再分析资料)研究了全球变暖对大气季节内振荡 (ISO)特征变化的影响.通过对比分析控制试验、二氧化碳浓度加倍试验模拟结果及观测结果发现: (1)FGOALS1.0_g耦合气候模式具有一定的模拟季节内振荡的能力, 主要表现为模式能够模拟出ISO活跃区的位置、中心位置的季节变动以及强度的季节变化, 其缺陷是模拟的ISO强度偏弱, 模拟的ISO周期不显著且偏高频; (2)实测资料诊断分析得到的近六十年来偏暖阶段ISO活跃区强度增强及范围扩大可能不是人类活动影响使温室气体增加所导致的, 它可能是大气ISO本身的年代际尺度变化; (3)近六十年来纬向东传波 (西传波)的能量的存在增长 (减少)趋势的主要原因可能是人类活动影响引起温室气体增加所导致的; (4)由于FGOALS1.0_g耦合气候模式在模拟ISO主周期及强度方面时存在不足, 因此实测结果诊断分析得到的偏暖阶段ISO小波能量强, 主周期范围大, 偏冷阶段反之的结论用FGOALS1.0_g耦合气候模式尚难以证实.     

大气季节内振荡的数值模拟 II. 全球变暖的影响

利用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）发展的耦合气候模式FGOALS1.0_g控制试验、二氧化碳（CO2）浓度加倍试验模拟结果及实测结果（NCEP/NCAR逐日再分析资料）研究了全球变暖对大气季节内振荡（ISO）特征变化的影响。通过对比分析控制试验、二氧化碳浓度加倍试验模拟结果及观测结果发现:（1）FGOALS1.0_g耦合气候模式具有一定的模拟季节内振荡的能力，主要表现为模式能够模拟出ISO活跃区的位置、中心位置的季节变动以及强度的季节变化，其缺陷是模拟的ISO强度偏弱，模拟的ISO周期不显著且偏高频；（2）实测资料诊断分析得到的近六十年来偏暖阶段ISO活跃区强度增强及范围扩大可能不是人类活动影响使温室气体增加所导致的，它可能是大气ISO本身的年代际尺度变化；（3）近六十年来纬向东传波（西传波）的能量的存在增长（减少）趋势的主要原因可能是人类活动影响引起温室气体增加所导致的；（4）由于FGOALS1.0_g耦合气候模式在模拟ISO主周期及强度方面时存在不足，因此实测结果诊断分析得到的偏暖阶段ISO小波能量强，主周期范围大，偏冷阶段反之的结论用FGOALS1.0_g耦合气候模式尚难以证实。     

南海夏季风强弱年环流形势与热带对流特点对比分析

利用NCEP/NCAR(美国国家环境预报中心/国家大气研究中心)再分析资料,对南海强夏季风年和弱夏季风年进行合成分析,结果表明,无论是在夏季风爆发前的1月份或是夏季风盛行的7月份,强弱夏季风年的平均经圈环流和平均纬圈环流都有明显差异。在强夏季风年,1月份的哈特莱环流、7月份的瓦克环流和季风经圈环流都比弱夏季风年同期的明显。强夏季风年的西太平洋副热带高压比弱夏季风年明显偏弱。利用OLR资料分析强夏季风年(1981年)和弱夏季风年(1983)4～9月份赤道东印度洋和南海对流活动的季节内振荡,发现在南海强夏季风年,季节内振荡的次数偏少而强度偏强,在弱夏季风年,季节内振荡的次数偏多而强度偏弱。相比之下,在南海强夏季风年,赤道东印度洋的季节内振荡比南海的更具典型性。     

有关全球变暖对热带大气季节内振荡特征的影响及其数值模拟的研究

首先用资料诊断分析了全球变暖前后,热带大气低频振荡特征变化。研究发现,全球变暖前后,热带低频振荡的强度、分布、传播及周期等发生了一系列变化:ISO活跃区及强度范围均有不同程度的增大,气候变暖有缩小ISO强度季节差异趋势;气候变暖后,纬向东传波的大气季节内振荡能量增加,而西传波的能量相对减少;偏暖阶段,ISO振荡主周期相对分散,特别是较长周期的小波能量明显增大。然后利用动力学分析及数值模拟进一步探讨了热带低频振荡与海温的联系,对热带ISO的数值模拟进一步发现,大气模式与海洋模式耦合时,所模拟的热带季节内振荡较强;热带低频振荡的变化可能与全球变暖后海温场发生的变化有关。     

太平洋副热带高压及南亚高压在NCEP/NCAR和ECMWF再分析资料中的对比研究

利用NCEP/NCAR和ECMWF 1961～2000年北半球逐月平均的500 hPa和100 hPa高度场再分析资料对影响我国天气、气候的重要系统--北半球西太平洋副热带高压以及南亚高压做了对比研究,发现两者在不同的再分析资料中虽然具有一定的相似性,但也存在着明显的区别.在1980年以前两者存在较大差异.NCEP/NCAR再分析资料分析出的副高明显偏弱,而其所反映的副高的变化在幅度和强度上均大于ECMWF再分析资料的结果.进一步分析发现,NCEP/NCAR再分析资料所得出的副高的年代际变化可能是不真实的.在1969年、1979～1991年间,NCEP/NCAR再分析资料中的南亚高压中心强度明显比ECMWF的强,特别是1992～1995年间,NCEP/NCAR再分析资料中的南亚高压中心强度更强且中心范围更大.此外,NCEP/NCAR再分析资料所反映的南亚高压的变化在幅度和强度上也都大于ECMWF再分析资料的结果.     

几种再分析地表气压资料在中国区域的适用性评估

应用台站观测资料对ERA-40, NCEP/NCAR以及NCEP/DOE再分析地表气压产品在中国不同区域、不同年代和不同季节的适用性进行了评估。分析发现, 几种再分析产品虽然能在一定程度上反映出观测资料所具有的时空分布特征, 但它们之间的差异却具有明显的区域和季节变化特征, 即冬季小而夏季大、东部地区小而西部地区大; 同时还发现ERA-40和NCEP/NCAR再分析产品在20世纪70年代以前均与观测资料有相对较大的差别, 特别是NCEP/NCAR在70年代以前的夏季气压值过于偏低, 从而夸大了很多地区的年代际变化特征。相比而言, ERA-40地表气压的长期变化趋势以及时空演变规律在中国大多数地区要优于NCEP/NCAR再分析产品, 特别是在中国西部地区。分析还表明, NCEP/DOE虽与观测资料存在一定的系统性偏差, 却与另外两种再分析产品有着较为相似的年际变化特征及趋势。     

A comparison of reanalyses in the tropical stratosphere. Part 1: thermal structure and the annual cycle

 An intercomparison of the thermal structure and the annual cycle in the tropical lower stratosphere of two reanalysis datasets is presented. These are from the National Centers for Environmental Prediction (NCEP)/National Center for Atmospheric Research (NCAR) and the European Centre for Medium Range Weather Forecasts (ECMWF Re-Analysis: ERA). Generally, the ERA data are coldest and in better agreement with radiosonde observations; this is particularly apparent at 100 hPa where there is also a strong geographic bias, the maximum differences (more than 4 K) occurring over the southern Pacific and the Indian Ocean, with much smaller (sometimes reversed) differences over land. The NCEP temperatures are biased towards satellite-derived values, while the ERA data resolve the low tropopause temperatures much better. The lower ERA temperatures have important implications for the cross-tropopause exchange of water vapor. The meridional-height structure of the annual cycles agree quite well, but the amplitude in the ERA data is about 50% stronger than in NCEP at 70 hPa (in better agreement with previous studies) and weaker at lower pressures. As in previous studies, an anticorrelation is found between the tropical and extratropical temperatures of the reanalyses. The mean meridional flow at the equator is northward all year at all stratospheric levels in the NCEP data, implying a mass transport from the Southern to the Northern Hemisphere; in the ERA data the expected annual cycle (flow from summer to winter) is reproduced with very small annual mean exchange. Received: 17 June 1997/Accepted: 17 December 1997     

印度洋偶极子对东亚季风区天气气候的影响

利用NCEP/NCAR 40年再分析资料和中国科学院大气物理研究所的IAPAGCM-Ⅱ大气环流模式,分析和模拟了印度洋偶极子对东亚季风区天气气候的影响.结果表明,印度洋偶极子对东亚季风区天气气候,特别是夏季,影响显著.印度洋正偶极子位相期间,东亚地区的西南季风爆发偏晚,强度增强,我国大陆降水增多;而印度洋负偶极子位相期间,东亚地区的西南季风爆发偏早,强度减弱,我国的东南部地区有丰富的降水.     

SEASONAL VARIATIONS OF THE TROPICAL INTRASEASONAL OSCILLATION AND ITS REPRODUCTION IN SAMIL-R_(42)L_9

Seasonal variations of the tropical intraseasonal oscillation (ISO) and relationship to seasonal variation of the climate background are studied by using NCEP/NCAR reanalysis data and output of SAMIL-R42L9. Analysis of NCEP data shows that spatial distribution of the tropical ISO has obvious seasonal variations, which are well consistent with the seasonal variation of climate background. The activity of the tropical ISO is, to a great extent, dependent on warm SST, strong convection, zonal western wind, strong precipitation and low-level moisture convergence. Main characteristics of the seasonal variations of the tropical ISO are captured by SAMIL-R42L9. Simulations of seasonal variation of climate background vary greatly with different variables. Results of SAMIL-R42L9 indicate that the seasonal variations of the tropical ISO in dynamical fields are more dependent on climate background than in heating fields and SAMIL-R42L9 cannot represent well the strong dependence of the ISO on the climate background present in NCEP/NCAR reanalysis data. It also suggests that seasonal variations of the ISO do not completely depend on that of climate background.     

Tropical intraseasonal rainfall variability in the CFSR

While large-scale circulation fields from atmospheric reanalyses have been widely used to study the tropical intraseasonal variability, rainfall variations from the reanalyses are less focused. Because of the sparseness of in situ observations available in the tropics and strong coupling between convection and large-scale circulation, the accuracy of tropical rainfall from the reanalyses not only measures the quality of reanalysis rainfall but is also to some extent indicative of the accuracy of the circulations fields. This study analyzes tropical intraseasonal rainfall variability in the recently completed NCEP Climate Forecast System Reanalysis (CFSR) and its comparison with the widely used NCEP/NCAR reanalysis (R1) and NCEP/DOE reanalysis (R2). The R1 produces too weak rainfall variability while the R2 generates too strong westward propagation. Compared with the R1 and R2, the CFSR produces greatly improved tropical intraseasonal rainfall variability with the dominance of eastward propagation and more realistic amplitude. An analysis of the relationship between rainfall and large-scale fields using composites based on Madden-Julian Oscillation (MJO) events shows that, in all three NCEP reanalyses, the moisture convergence leading the rainfall maximum is near the surface in the western Pacific but is above 925?hPa in the eastern Indian Ocean. However, the CFSR produces the strongest large-scale convergence and the rainfall from CFSR lags the column integrated precipitable water by 1 or 2?days while R1 and R2 rainfall tends to lead the respective precipitable water. Diabatic heating related to the MJO variability in the CFSR is analyzed and compared with that derived from large-scale fields. It is found that the amplitude of CFSR-produced total heating anomalies is smaller than that of the derived. Rainfall variability from the other two recently produced reanalyses, the ECMWF Re-Analysis Interim (ERAI), and the Modern Era Retrospective-analysis for Research and Applications (MERRA), is also analyzed. It is shown that both the ERAI and MERRA generate stronger rainfall spectra than the R1 and more realistic dominance of eastward propagating variance than R2. The intraseasonal variability in the MERRA is stronger than that in the ERAI but weaker than that in the CFSR and CMORPH.     

近20年来热带印度洋与热带太平洋海气系统相互作用特征的诊断研究

利用1979年1月～1998年12月的月平均海表温度(SST)、向外长波辐射(OLR)和l000hPa纬向风速等NCEP/NCAR再分析资料，对近20年来热带印度洋与太平洋海温异常(SSTA)及相关的环流特征量进行综合分析和研究，发现热带印度洋的内部耦合动力特征模态—偶极子模的强度，存在着年代间的差异，80年代偏弱，90年代偏强。热带印度洋与热带太平洋海气耦合系统之间存在着相互作用，80年代热带印度洋的SSTA主要是对太平洋ENSO的响应，90年代太平洋ENSO的异常发展在一定程度上是受印度洋偶极子模态异常活跃影响的结果。从观测资料诊断分析的角度，找出了90年代后ZC耦合模式对ENSO事件预报失败的可能原因。     

Parallel comparison of the northern winter stratospheric circulation in reanalysis and in CMIP5 models

A parallel comparison is made of the circulation climatology and the leading oscillation mode of the northern winter stratosphere among six reanalysis products and 24 CMIP5(Coupled Model Intercomparison Project Phase 5) models. The results reveal that the NCEP/NCAR, NECP/DOE, ERA40, ERA-Interim and JRA25 reanalyses are quite consistent in describing the climatology and annual cycle of the stratospheric circulation. The 20 CR reanalysis, however, exhibits a remarkable"cold pole" bias accompanied by a much stronger stratospheric polar jet, similar as in some CMIP5 models. Compared to the1–2 month seasonal drift in most coupled general circulation models(GCMs), the seasonal cycle of the stratospheric zonal wind in most earth system models(ESMs) agrees very well with reanalysis. Similar to the climatology, the amplitude of Polar Vortex Oscillation(PVO) events also varies among CMIP5 models. The PVO amplitude in most GCMs is relatively weaker than in reanalysis, while that in most of the ESMs is more realistic. In relation to the "cold pole" bias and the weaker oscillation in some CMIP5 GCMs, the frequency of PVO events is significantly underestimated by CMIP5 GCMs; while in most ESMs, it is comparable to that in reanalysis. The PVO events in reanalysis(except in 20CR) mainly occur from mid-winter to early spring(January–March); but in some of the CMIP5 models, a 1–2 month delay exists, especially in most of the CMIP5 GCMs. The long-term trend of the PVO time series does not correspond to long-term changes in the frequency of PVO events in most of the CMIP5 models.     

Numerical Simulation and Comparison Study of the Atmospheric Intraseasonal Oscillation

Daily mean outputs for 12 yr (1978-1989) from two general circulation models (SAMIL-R42L9 and CAM2.0.2) are analyzed and compared with the corresponding NCEP/NCAR reanalysis dataset, and results in two models show clearly that the root-mean square errors (RMSEs) from the simulation of intraseasonal oscillation can take 30-40 percent of the total RMSE, particularly, the distributions of the RMSE in simulating intraseasonal oscillation are almost identical with that of the total RMSE. The maximum RMSE of intraseasonal oscillation height at 500 hPa is shown in the middle latitude regions, but there are also large RMSEs of intraseasonal oscillation wind over the tropical western Pacific and tropical Indian Oceans. The simulated ISO energy in the tropic has very large difference from the result of the NCEP/NCAR reanalysis dataset which means the simulation of tropical atmospheric ISO still possesses serious insufficiency. Therefore, intraseasonal oscillation in the weather and climate numerical simulation is very important, and thus, how to improve the ability of the GCM to simulate the intraseasonal oscillation becomes very significant.