ENSO动力学与预测

发生在热带太平洋地区的ENSO现象是海气相互作用的集中表现,是年际气候变化中的最强信号.由于它的发生会在全球许多地区引起严重的气候异常,极大地影响着这些地区的工农业生产和人民生活,因此,对ENSO的机理及其预测的研究一直是大气海洋界的一个热点研究课题.中国科学院大气物理研究所在ENSO的机理及其预测等方面进行了大量的研究,取得了许多研究成果.作者将对中国科学院大气物理研究所在这方面的一些研究成果进行回顾和介绍.     

1948-2000年ENSO事件与全球陆地年降水量的关系

用最新创建的全球陆地月降水资料(PREC／L)，研究了1948—2000年期间的ENSO事件与全球陆地年降水量的关系。对合成分析的结果进行了蒙特卡罗模拟检验。结果表明，暖事件年全球陆地年降水量大范围减少。显著地区是：赤道西太平洋区、中国华北、赤道中美洲区、孟加拉湾北部及尼泊尔、东澳大利亚区、印度西部及巴基斯坦南部、勒拿河以东地区、西欧及南极的威尔克斯等区域。在暖事件年，陆地年降水量增加地区不多，主要是南美的智利和阿根廷、东非索马里、肯尼亚和坦桑尼亚、中东的土耳其、伊拉克及伊朗、北非的利比亚和阿尔及利亚、西南非的纳米比亚及非洲南部的博茨瓦纳和津巴布韦。统计检验表明，暖事件年全球陆地年降水量减少面积比降水量增加面积要大，而且更为显著。研究还指出，ENSO的年代际变化对上述地区降水的年代际变化影响不明显。但是，80年代以后的暖事件对东澳大利亚干旱、中国华北干旱的影响比80年代前的影响要大。     

中国东部夏季极端降水事件及大气环流异常分析

主要利用1961~2014年中国东部地区438个台站的逐日降水资料和NCEP/NCAR的再分析资料,从大气内部动力角度对夏季不同极端降水情况下的环境场进行分析,结果表明:对长江中下游地区而言,在极端降水频次偏多年时,850 hPa风场及整层水汽输送距平场均表明东亚夏季风偏弱,有利于更多的水汽输送到长江中下游地区,500 hPa鄂霍次克海阻塞高压持续日数偏多,有利于冷空气南下,200 hPa东亚副热带急流偏南,且30°N以南偏西风异常有利于辐散,而在斜压波包从西北东南向传播为极端降水事件分发生集聚了能量;对华北地区极端降水频次偏多年而言,850 hPa风场及整层的水汽输送距平场均表明东亚夏季风偏强,有利于更多的水汽输送到华北地区,500 hPa高度距平场日本海正距平,贝加尔湖蒙古地区为负距平,华北地区东高西低,200 hPa东亚副热带急流偏北,从而导致我国华北地区极端降水频次偏多,能量传播也为西北东南向。这些结果表明极端降水的变化,与大气内部的动力作用和能量的传播有密切的关系。     

THE CONTRASTS BETWEEN STRONG AND WEAK MJO ACTIVITY OVER THE EQUATORIAL WESTERN PACIFIC IN WINTER

This paper investigates the contrasts between strong and weak Madden-Julian Oscillation (MJO) activity over the equatorial western Pacific during winter using the NCEP reanalysis data. It is shown that the MJO over the equatorial western Pacific in winter shows significant interannual and interdecadal variabilities. During the winters with strong MJO activity, an anomalous cyclonic circulation lies east of the Philippines, strong anomalous easterlies control the equatorial eastern Pacific, and anomalous westerlies extend from the Indian Ocean to the western Pacific in the lower troposphere, which strengthens the convergence and convection over the equatorial western Pacific. The moisture convergence in the lower troposphere is also enhanced over the western Pacific, which is favorable to the activity of MJO. Eastward propagation is a significant feature of the MJO, though there is some westward propagation. The space-time spectral power and center period of the MJO are higher during strong MJO activity winters. The anomalous activity of MJO is closely related to the sea surface temperature (SST) and East Asian winter monsoon (EAWM). During strong MJO activity winters, there are positive/negative anomalies at high/low latitudes in both sea level pressure and 500 hPa geopotential height, and the temperature is lower over the central part of the Chinese mainland, which indicates a strong EAWM. China experiences more rainfall between the Yellow and Yangtze Rivers, but less rainfall south of the Yangtze River. The SSTA is negative near the Taiwan Island due to the impact of strong EAWM and shows a La Ni?a pattern anomaly over the eastern Pacific. During the weak MJO activity winters, the situation is reversed.     

Effect of Stochastic MJO Forcing on ENSO Predictability

Within the frame of the Zebiak-Cane model,the impact of the uncertainties of the Madden-Julian Oscillation(MJO) on ENSO predictability was studied using a parameterized stochastic representation of intraseasonal forcing.The results show that the uncertainties of MJO have little effect on the maximum prediction error for ENSO events caused by conditional nonlinear optimal perturbation(CNOP);compared to CNOP-type initial error,the model error caused by the uncertainties of MJO led to a smaller prediction uncertainty of ENSO,and its influence over the ENSO predictability was not significant.This result suggests that the initial error might be the main error source that produces uncertainty in ENSO prediction,which could provide a theoretical foundation for the data assimilation of the ENSO forecast.     

使用ECMWF集合预报数据集估计全球季节平均气候异常的潜在可预报性

利用ECMWF PROVOST项目产生的在给定海表温度强迫下的150(1979～1993)季节集合预报数据集，分析揭示了季节平均气候异常潜在可预报性的全球分布。首先，利用可再现的强迫模态重建集合资料场，在Kolmogorov-Smirnov(K-S)检验的基础上定义潜在可预报性指数PU^k，然后，将重建场的PU^k与重建场贡献于集合平均的方差比结合，提出了定量估计局地潜在可预报性的指数PI。以全球850hPa温度季节平均异常场为例，对PI进行定量计算表明：不仅大部分热带地区，而且热带外一些地区的季节平均气候异常具有潜在可预报性，主要分布在北美、南非和亚洲部分季风区；全球大部分潜在可预报地区主要受ENSO型强迫控制，而部分温带地区如中国华北、中亚、北美南部主要受非ENSO型强迫控制；局地潜在可预报性具有季节性，夏季可预报性较强，冬季较弱。通过与其他几种估计季节潜在可预报性的方法进行比较表明，本文提出的PI方法能更好地把热带外地区受外强迫控制的可预报信号提取出来。     

Mistreatment of the economic impacts of extreme events in the Stern Review Report on the Economics of Climate Change

The Stern Review on the Economics of Climate Change has focused debate on the costs and benefits of alternative courses of action on climate change. This refocusing has helped to move debate away from science of the climate system and on to issues of policy. However, a careful examination of the Stern Review's treatment of the economics of extreme events in developed countries, such as floods and tropical cyclones, shows that the report is selective in its presentation of relevant impact studies and repeats a common error in impacts studies by confusing sensitivity analyses with projections of future impacts. The Stern Review's treatment of extreme events is misleading because it overestimates the future costs of extreme weather events in developed countries by an order of magnitude. Because the Stern Report extends these findings globally, the overestimate propagates through the report's estimate of future global losses. When extreme events are viewed more comprehensively the resulting perspective can be used to expand the scope of choice available to decision makers seeking to grapple with future disasters in the context of climate change. In particular, a more comprehensive analysis underscores the importance of adaptation in any comprehensive portfolio of responses to climate change.     

ENSO对亚洲夏季风异常和我国夏季降水的影响

首先对ＥＮＳＯ过程中亚洲夏季风环流的变化进行了诊断分析，结果表明在Ｅｌ Ｎｉｎｏ事件和ＬａＮｉｎａ事件中亚洲夏季风系统各成员均发生不同程度的变化，甚至出现相反的变异特征。其中，对我国东部地区夏季降水进行了ＥＯＦ分析，并在此基础上分析了赤道太平洋ＳＳ－ＴＡ对我国东部地区夏季降水影响的区域和程度，该影响与ＥＮＳＯ循环的发展阶段密切相关，且在长江中下游地区和华南地区最为显著。     

ENSO对南沙海域气候状况的影响

对１９６１—１９９０年（部分资料到１９９４年）期间在南沙海域的观测资料，进行了统计分析，其结果表明：在ＥＮＳＯ发生的当年，南沙海域的海平面气压呈正距平，年降水量明显偏少，热带气旋活动的日数一般偏少；在历次ＥＮＳＯ过程中，南沙海域的总云量与ＳＯＩ的变化趋势基本一致。该项工作有助于了解ＥＮＳＯ对南沙海域天气气候的综合影响和提高天气预报的质量     

Box-Cox正态转换在长江子流域极端降水气候事件判定中的应用

利用1961-2017年长江流域700个气象站点逐月降水资料计算长江流域9个子流域面雨量,采用基于Box-Cox正态分布转换后的百分位法对长江流域不同时间长度的极端降水气候事件阈值进行界定。结果表明,在数据序列长度发生变化的情况下,面雨量序列经Box-Cox正态转换后,计算得到的极端降水气候事件阈值的变化相较于常规百分位法明显减小,具有更为稳健的特性,从而使得相应极端降水气候事件个例的挑选更为稳定。根据该方法得到的阈值,对2018年汛期(6-8月)长江各子流域极端降水气候事件进行判定,岷沱江流域发生了极端多雨气候事件,而长江干流重庆-宜昌段、汉江及中游干流区间发生了极端少雨气候事件。