春季热带南大西洋海表温度异常与夏季亚澳季风区降水异常的联系

利用1979—2019年Hadley中心的海表温度资料、GPCP的降水资料以及NCEP-DOE的再分析资料等,分析了北半球春季热带南大西洋海表温度异常与北半球夏季亚澳季风区降水异常的联系。研究表明,北半球春季热带南大西洋海表温度异常与随后夏季热带西太平洋到南海（澳大利亚东侧海域到热带东印度洋）地区的降水异常为显著负相关（正相关）关系。北半球春季热带南大西洋的海表温度正异常可以引起热带大西洋和热带太平洋间的异常垂直环流,其中异常上升支（下沉支）位于热带大西洋（热带中太平洋）。热带中太平洋的异常下沉气流和低层辐散气流引起热带中西太平洋低层的异常东风,后者有利于热带中东太平洋海表温度出现负异常。通过Bjerknes正反馈机制,热带中东太平洋海表温度异常从北半球春季到夏季得到发展。热带中东太平洋海表温度负异常激发的Rossby波使得北半球夏季热带西太平洋低层出现一对异常反气旋。此时,850 hPa上热带西太平洋到海洋性大陆地区为显著的异常东风,有利于热带西太平洋到南海（澳大利亚东侧海域到热带东印度洋）地区出现异常的水汽辐散（辐合）,导致该地区降水减少（增加）。     

Duplex equilibria of Ural circulation anomalies

Atmospheric circulation anomalies over the Ural Mountains are crucial indicators of the anomalous downstream weather and climate over East Asia. Here, we provide a new perspective on the mechanism of Ural circulation anomalies. We use a simple theoretical model to determine that the relationship between the solar forcing and three Ural circulation patterns, namely, neutral type, trough anomaly and ridge anomaly, is a nonlinear relationship following the supercritical pitchfork bifurcation theory. The theory predicts that when the total solar irradiance (TSI) is below a critical value, trough and ridge anomalies represent duplex equilibria and are equally likely to occur at the same TSI. Based on 180 winter months record, we have estimated the bidimensional probability density of TSI and the monthly mean geopotential height at 500 hPa or zonal wind at 850 hPa over the Ural Mountains. Results show that Sc = 1360.9 W m−2 is a critical value of TSI, the neutral type pattern is the single circulation regime when TSI > Sc, whereas trough and ridge anomaly patterns are duplex circulation regimes when TSI < Sc. Besides, when TSI < Sc, during the same TSI range, trough and ridge anomaly events occur at nearly the same frequencies. These results generally agree with the theoretical model. We demonstrate that trough and ridge anomalies, as duplex equilibria, result from the large-scale zonal flow interacting with the Ural Mountains. Low TSI tends to strengthen the large-scale zonal flow over the Ural Mountains, hence inducing either a trough anomaly or ridge anomaly.     

Ozone anomalies in spring over Russia

During more than half-century ozone observations in the high latitudes of the Northern Hemisphere, the significant anomalies of total ozone (TO) with the duration of a month and more were observed in March 1995, 1996, 1997, and 2011 (in 1997 and 2011, they were the most significant and the longest). The maximum total ozone deficit zone over the land was observed over the northern coast of East Siberia. The ozone loss in the anomalies in 1997 and 2011 were associated with the unusual behavior of the circumpolar vortex which was unusually deep, stable, and durable in these years that resulted in the abnormal low temperature in the stratosphere in the high latitudes of the Northern Hemisphere. In subpolar latitudes, the temperature in the lower stratosphere during the period from December 2010 to February 2011 was lower than in 1997. In 2011 due to the durable springtime anomaly, almost over the whole territory of Russia the average annual ozone values turned out to be significantly lower than in the previous decade. The total ozone deficit in the circumpolar vortex in spring 1997 and 2011 amounted to about 140 DU. The formation of large TO anomaly in 2011 indicates that the long-term evolution of ozone layer conditions is a part of the long-term evolution of the Earth climate system.     

江淮夏季降水异常与西印度洋地区大气环流异常的关系

运用NCEP/NCAR再分析资料和中国气候中心整编的160站月平均降水资料应用经验正交函数、线性相关分析等,分析了江淮地区夏季降水异常特征及其与西印度洋区域大气环流年际异常关系的变化及其可能的机理。结果表明:当500 hPa中纬度低槽活动偏多(少),西太平洋副热带高压偏强(弱),东亚夏季风偏强(弱)时,江淮地区降水偏多(少)。进一步分析还发现西印度洋上空的垂直环流与江淮夏季降水存在较好的关系,但这种年际异常之间的联系受到背景场的影响明显:1979—1993年西印度洋垂直上升运动与江淮夏季降水的变化趋势基本相反,两者线性相关系数为-0.43;1994—2010年两者的变化趋势基本一致,相关系数达0.71。即当西印度洋地区存在环流异常下沉(上升)时,西太平洋副热带高压通常异常减弱东退(增强西伸),副热带季风减弱(增强),有利于雨带偏南(北)。因此,在西太平洋副热带高压和副热带季风年代际偏强(弱)阶段,西印度洋环流与江淮夏季降水呈负(正)相关。     

Temporal accumulations of extreme daily meantemperature anomalies

Summary  Statistical characteristics of accumulated extreme low and high daily mean temperatures have been investigated for Hungary. Temperature extremes over periods of a few weeks were studied using 96-year temperature records. Temperature is defined as extreme in the lowest or highest five percent of the empirical distribution of anomalies. Recurrence frequencies of extreme anomalies were computed at 1, 2,…, 75 days after the initial anomalies, and compared with the respective characteristics of an appropriate 2^nd order autoregressive model. In accordance with the high 1-day lagged autocorrelation in Hungarian temperature time series, model-frequencies are large for low lags, and approach the value for independence (0.05) for periods longer than 10–15 days. Considerable similarity of recurrence frequency between observed and simulated series is found but with some important exceptions. After only 1 extreme cold winter-day or an extreme warm summer-day, the probability of the next extreme occurring with the same sign remains significantly high for longer than 1 month. Empirical frequencies are very sensitive to the calendar date of the initial extreme value occurrence. Discrepancies between real and model characteristics were tested for statistical significance by Monte Carlo simulation technique. Recurrence frequencies for the last 30 years have also been computed, and intersting similarities and differences were found relative to the earlier part of the 20^th century. To identify possible relationships between droughts and hot spells, extreme high daily temperatures and dry subperiods during summers were selected. Recurrence frequencies of extreme positive anomalies in dry periods, more than 15–20 days after an initial occurrence, are surprisingly high during the second half of the summer. Received February 15, 2000 Revised September 11, 2000     

Predicting climate anomalies:A real challenge

过去几十年,气候变化和极端气候事件造成的经济损失和灾害显著增加.虽然全球的科学家在理解和预测气候变异方面做出了巨大的努力,但当前在气候预测领域仍然存在几个重大难题.2020年,依托于国家自然科学基金基础科学中心项目的气候系统预测研究中心(CCSP)成立了,该中心旨在应对和处理气候预测领域的三大科学难题:厄尔尼诺-南方涛动(ENSO)预测,延伸期天气预报,年际-年代际气候预测,并为更加准确的气候预测和更加有效的灾害防御提供科学依据.因此,本文介绍了CCSP的主要目标和面对的科学挑战,回顾了CCSP在季风动力过程,陆-气相互作用和模式开发,ENSO变率,季节内振荡,气候预测等方面已取得的重要研究成果.未来CCSP将继续致力于解决上述领域的关键科学问题.     

Numerical Simulation of Regional Short-Range Climate Anomalies

With the high-speed development of numerical weather prediction, since the later 1980’s, the prediction of short-range climate anomalies has attracted worldwide meteorologists’ attention. What the so called short-range re-fers to the time scale from one month to one season or more. In dealing with the problem of short-range climate pre-diction, two points are needed noticing: one is the basic research to explore or investigate the mechanism of variability of the slow varying components which mainly include internal dynamics of extratropics, external forcings and tropical dynamics, and the other is the modeling efforts to simulate the process of the long-term evolution of the signal which include the improvement of model quality, stochastic prediction and the air-sea-coupled model (Miyakoda et al.,1986). Previous researches on the numerical prediction of short-term climate anomalies are mostly concentrated in the analysis of variables with global spatial scale, especially the global general atmospheric circulation analysis.As to the simulation or prediction of regional short-term climate anomalies, there exist many difficulties and problems. Though some meteorologists are devoting themself to this field, up to now, they have not reached satisfac-tory results. As a primary effort, by using the 2-level general atmospheric circulation model developed in the Institute of Atmospheric Physics, Chinese Academy of Sciences (IAP-AGCM) (Zeng et al., 1989), and taking the year of 1985 as a case, a numerical simulation of regional short-term climate change is completed. We pay high attention to the predictand of anomalous summer rainfall in the Yangtze River and Yellow River valleys, especially its month-to-month variation.     

Predictability of large interannual Arctic sea-ice anomalies

In projections of twenty-first century climate, Arctic sea ice declines and at the same time exhibits strong interannual anomalies. Here, we investigate the potential to predict these strong sea-ice anomalies under a perfect-model assumption, using the Max-Planck-Institute Earth System Model in the same setup as in the Coupled Model Intercomparison Project Phase 5 (CMIP5). We study two cases of strong negative sea-ice anomalies: a 5-year-long anomaly for present-day conditions, and a 10-year-long anomaly for conditions projected for the middle of the twenty-first century. We treat these anomalies in the CMIP5 projections as the truth, and use exactly the same model configuration for predictions of this synthetic truth. We start ensemble predictions at different times during the anomalies, considering lagged-perfect and sea-ice-assimilated initial conditions. We find that the onset and amplitude of the interannual anomalies are not predictable. However, the further deepening of the anomaly can be predicted for typically 1 year lead time if predictions start after the onset but before the maximal amplitude of the anomaly. The magnitude of an extremely low summer sea-ice minimum is hard to predict: the skill of the prediction ensemble is not better than a damped-persistence forecast for lead times of more than a few months, and is not better than a climatology forecast for lead times of two or more years. Predictions of the present-day anomaly are more skillful than predictions of the mid-century anomaly. Predictions using sea-ice-assimilated initial conditions are competitive with those using lagged-perfect initial conditions for lead times of a year or less, but yield degraded skill for longer lead times. The results presented here suggest that there is limited prospect of predicting the large interannual sea-ice anomalies expected to occur throughout the twenty-first century.     

跨季度气候距平数值预测试验

本文报导我们用海气耦合模式所进行的两次跨季度气候距平数值预测试验:一次由1988年秋季(9月)开始预测至翌年初夏(5月),另一次由隆冬(1989年1月)开始预测至8月,预测时效均超过半年,其结果是令人鼓舞的。 我们经过分析认为,作跨季度气候预测必须用耦合模式。本试验中我们采用大气物理研究所的大气环流模式和大洋环流模式,其中的大气环流模式能较好地模拟出全球气候状态,尤其是夏季形势及东亚季风区的季节突变现象;大洋环流模式消除了“刚盖近似”,模拟得到的海表层洋流、水温及海表热通量、上层海洋热贮存率等都比较接近实况。在进行耦合积分时,初条件取自观测得到的月平均大气环流资料和海表温度场(SST)及经协调性积分后的模式海候场,采用海洋、大气非同步耦合方案;同时,对海气相互作用各项进行订正,以消除模式气候场和海候场的系统性偏差。 这两次试验的初始场反映出太平洋有大范围和较强的海表温度距平(SSTA),是典型的La Nino(即反E1 Nino)现象。试验结果表明:环流形势季节转换、SSTA的维持及演变(如1989年5月以后La Nino的终止)、东亚地区各月和季度降水距平等大形势分布的预测都可以说是成功的。这似乎说明,当有较大范围和较强的大气或海洋环流形势异常(如SSTA)时,包括环流异常演变和降水距平在内的跨季节预测是可能的,但要达到实用地步,模式以及耦合方案须大加改进,观测系统也应完善,四维分析(尤其是用于海洋环流的资料同化)方法也要研究。此外,用耦合模式作出的数值预测同由统计方法、相似方法以及其它天气-气候分析研究所得到的预报因子等结合起来,作跨季度的降水距平预测也许更为有效。 另外,我们还在本试验中,用数值模拟方法进行了跨季度降水异常机理研究,肯定了一些天气-气候分析研究所得到的结论。     

Indigenous perceptions of climate anomalies in Malaysian Borneo

Local perceptions of climate anomalies influence adaptation behaviour. Specifically, perceptions that are more accurate and homogenous at the community-level are more likely to facilitate the collective action required to adapt to the local effects of climate anomalies experienced by many indigenous communities. We combine primary data on perceptions of climate anomalies from 200 individuals in six Penan villages in Sarawak, Malaysia with instrumental climate data. We find that perceptions of climate anomalies vary substantially in terms of occurrence and magnitude, and do not generally correlate with instrumental climate data. We operationalise the Penan forest sign language (Oroo’) as a measure of traditional ecological knowledge (TEK) and find only weak evidence of a systematic statistical association with perceptions of climate anomalies among our sampled respondents. Our findings suggest caution in advancing adaptation strategies in indigenous communities that are predominantly premised on TEK. Instead, our findings suggest that in designing adaptation measures, indigenous communities may benefit by engaging in forums where community members and external stakeholders can come together, share their perceptions and observations of climate change, and reach a collective consensus on the community-level effects of climate change and pathways towards adaptation.     

Measuring persistence in time series of temperature anomalies

Studies on persistence are important for the clarification of statistical properties of the analyzed time series and for understanding the dynamics of the systems which create these series. In climatology, the analysis of the autocorrelation function has been the main tool to investigate the persistence of a time series. In this paper, we propose to use a more sophisticated econometric instrument. Using this tool, we obtain an estimate of the persistence in global land and ocean and hemispheric temperature time series.     

Intrinsic properties of Sahel precipitation anomalies and rainfall

The estimation of the future projected precipitation and rainfall on short- and long-term basis is crucial because their substantial changes are closely associated with severe socioeconomic and ecological consequences. For this reason, the detrended fluctuation analysis is applied on the Sahel precipitation and standardized rainfall anomalies in order to explore the intrinsic properties of their temporal variability. The results obtained show that the Sahel precipitation anomalies the period 1900–2010 exhibit persistent long-range correlations for all the time lags between 4 months and 28 years. This result states that the fluctuations of the Sahel precipitation anomalies in small time intervals are positively correlated to those in longer time intervals in a power law fashion. In opposite, the Sahel standardized rainfall fluctuations during the periods 1948–2001 show an almost random walk behavior. It should be emphasized that these findings could substantially contribute to the precipitation forecast and the advanced simulation of the variability of the global climate system. For instance, the data of the precipitation forecast modeling must exhibit the long-range correlations dictated by the precipitation data in the past. A detailed analysis on this topic will be published elsewhere.     

相对瞬变气候态的气候异常

极端天气和异常气候的定量分析与预报需要一个确定的参考态.瞬变气候是地球固定点上大气相对太阳的自转和公转所接受到的太阳辐射与地表特征的动力与热力耦合形成的具有24 h日循环和365 d年循环的气候态.相对年循环的逐日气候态,本文首先考察了天气扰动和气候上的季节内异常、年际异常和长期趋势(或年代际异常),回顾了气候态中客观...     

Downscaling extreme month-long anomalies in southern South America

We investigate the performance of one stretched-grid atmospheric global model, five different regional climate models and a statistical downscaling technique in simulating 3 months (January 1971, November 1986, July 1996) characterized by anomalous climate conditions in the southern La Plata Basin. Models were driven by reanalysis (ERA-40). The analysis has emphasized on the simulation of the precipitation over land and has provided a quantification of the biases of and scatter between the different regional simulations. Most but not all dynamical models underpredict precipitation amounts in south eastern South America during the three periods. Results suggest that models have regime dependence, performing better for some conditions than others. The models’ ensemble and the statistical technique succeed in reproducing the overall observed frequency of daily precipitation for all periods. But most models tend to underestimate the frequency of dry days and overestimate the amount of light rainfall days. The number of events with strong or heavy precipitation tends to be under simulated by the models.     

CFSv2 prediction skill of stratospheric temperature anomalies

This study evaluates the prediction skill of stratospheric temperature anomalies by the Climate Forecast System version 2 (CFSv2) reforecasts for the 12-year period from January 1, 1999 to December 2010. The goal is to explore if the CFSv2 forecasts for the stratosphere would remain skillful beyond the inherent tropospheric predictability time scale of at most 2 weeks. The anomaly correlation between observations and forecasts for temperature field at 50 hPa (T50) in winter seasons remains above 0.3 over the polar stratosphere out to a lead time of 28 days whereas its counterpart in the troposphere at 500 hPa drops more quickly and falls below the 0.3 level after 12 days. We further show that the CFSv2 has a high prediction skill in the stratosphere both in an absolute sense and in terms of gain over persistence except in the equatorial region where the skill would mainly come from persistence of the quasi-biennial oscillation signal. We present evidence showing that the CFSv2 forecasts can capture both timing and amplitude of wave activities in the extratropical stratosphere at a lead time longer than 30 days. Based on the mass circulation theory, we conjecture that as long as the westward tilting of planetary waves in the stratosphere and their overall amplitude can be captured, the CFSv2 forecasts is still very skillful in predicting zonal mean anomalies even though it cannot predict the exact locations of planetary waves and their spatial scales. This explains why the CFSv2 has a high skill for the first EOF mode of T50, the intraseasonal variability of the annular mode while its skill degrades rapidly for higher EOF modes associated with stationary waves. This also explains why the CFSv2’s skill closely follows the seasonality and its interannual variability of the meridional mass circulation and stratosphere polar vortex. In particular, the CFSv2 is capable of predicting mid-winter polar stratosphere warming events in the Northern Hemisphere and the timing of the final polar stratosphere warming in spring in both hemispheres 3–4 weeks in advance.     

Synoptic-scale anomalies of Lake Ladoga surface temperature fields

Results of studying characteristic features of variability of the water surface temperature fields of Lake Ladoga during the open water period are presented. Anomalies and extreme deviations of real spatial distributions from those typical of the scales of synoptic variability are estimated. Typical surface temperature distribution of Lake Ladoga during an open water period occupies not more than 20% of the lake area. The near-shore shallow water area is characterized as an area of most anomalous water temperature distribution. The abnormality extent changes from month to month. July is the most anomalous month of the open water period.     

热带北太平洋海温异常对2018年华南前汛期降水负异常事件的影响

本文利用1979—2018年中国地面气象台站1 767个站点降水资料、HadISST海温数据及NCEP/NCAR再分析资料,滤除同期ENSO影响后,分析了2018年华南前汛期降水负异常与热带北太平洋海温异常之间的联系。研究结果显示,2018年华南前汛期降水负异常事件和热带北太平洋(Tropical Northern Pacific,TNP)海温偏暖有关。热带北太平洋海温正异常,通过Mastuno-Gill响应引起西北太平洋气旋式环流异常,中国南海东风异常,减弱了南海夏季风,华南至中国南海地区对流层低层存在异常反气旋环流。水汽存在由中纬度北太平洋经黑潮海区-华南地区-中国南海-菲律宾群岛向热带太平洋的异常输送,且华南地区为水汽的异常辐散区域。另一方面,TNP区域暖海温异常引起了该区域低层异常辐合、高层异常辐散、异常上升运动,使得华南地区高层异常辐合、低层异常辐散、异常下沉运动。这样的环流配置对华南地区降水的产生有不利影响,引起了2018年华南前汛期降水异常偏少。2018年TNP区域暖海温异常引起华南前汛期降水负异常的物理机制还在ECHAM5模式30个成员集合平均的试验结果中得以验证。     

Spatial reorganization of SST anomalies by stationary atmospheric waves

The dynamics of sea surface temperature (SST) anomalies that force stationary atmospheric waves, which in turn, feed back on the SST field is addressed. The phenomena is isolated by analyzing the dynamics of a slab ocean that is thermally coupled to an atmospheric model. Particular emphasis is put on identifying SST structures that are weakly damped by the joint effect of air–sea heat transfer and atmospheric wave dynamics.A frame work is presented that singles out long-lived SST features in a slab ocean coupled to an arbitrary linear atmospheric model. It is demonstrated that an SST anomaly eventually disintegrates into a number of propagating wave packets. The wave packets are confined in a Gaussian envelope, and each packet is tied to a stationary wave of a particular wavelength. These structures are a manifestation of coupled SST-atmosphere mode, for which the atmosphere and the ocean nearly are in thermal equilibrium. However, a small disequilibrium causes the wave packet to propagate and to broaden in an apparent diffusive manner.Central ideas pertaining to the mid-latitude SST dynamics are illustrated by analyzing the thermal feedback between a two-level atmospheric model (on a β-plane) and a dynamically passive slab ocean. The relevance of the present idealized coupled-modes to the SST variability in the mid-latitudes and in atmospheric GCMs coupled to slab oceans is discussed.