新疆地区近50年来极端降水事件年内非均匀特征分析

利用新疆地区48个气象台站1961—2011年的逐日降水观测资料,根据百分位法定义了不同台站的极端降水阈值,又引入了表征降水时间分配特征的新参数-极端降水事件集中度和集中期,重点分析了新疆的极端降水年内非均匀特征。结果表明:(1)新疆地区极端降水阈值和年平均极端降水量空间分布基本一致,都以天山地区为最大,呈现北高南低的分布。年平均极端降水频次北部高于南部。(2)新疆地区极端降水事件集中度和集中期的空间分布存在一定的差异。总体来说极端降水分布得很密集,各站集中度在0.62~0.9之间,南疆和东疆的集中度大于北疆。新疆地区极端降水主要集中在7月上旬到8月中旬。(3)近51 a来,极端降水事件集中度表现为减弱趋势,而集中期表现为增加趋势,表明极端降水越来越分散。(4)极端降水量的季节分配状况和同期的极端降水量存在很好的相关关系。极端降水越分散,集中期越晚,极端降水量越多;极端降水越集中,集中期越早,极端降水量越少。这种相关关系在北疆地区尤为显著。     

土壤湿度年际变化对中国区域极端气候事件模拟的影响研究Ⅱ.敏感性试验分析

利用NCARCAM3.1大气环流模式,设计了有、无土壤湿度年际异常的两组数值试验,探讨了土壤湿度年际异常对极端气候事件模拟的可能影响。结果表明,模式模拟的极端气候事件对土壤湿度异常十分敏感,土壤湿度异常对极端气候指标的多年平均空间分布、年际变率以及年际变化均具有重要影响。当不考虑土壤湿度的年际异常时:(1)模拟的暖夜日数、暖昼日数和热浪持续指数的发生频次在全国范围内均明显减少,而霜冻日数则明显增加。极端降水指标的响应表现出明显的空间差异,极端降水频次在江淮流域明显减小,而极端降水强度则表现为东北减弱、长江流域增强;中雨日数和持续湿期在我国大部分地区减少。(2)极端气温指标的年际变率在我国大部分地区呈减小趋势;而极端降水事件的变化则较为复杂,极端降水频次和极端降水强度的年际变率在长江以南有所增强,而北方地区则有所减弱。中雨日数和持续湿期的年际变率在我国呈现出较为一致的减少趋势。(3)模式对暖夜日数、霜冻日数的年际变化的模拟能力明显下降,并对4个极端降水指标的年际变化的模拟能力在全国多数区域均有不同程度的下降。     

江苏省近45a极端气候的变化特征

利用江苏省35个测站1960—2004年45 a的逐日最高温度、最低温度、日降水量资料集,分析了近45 a江苏省极端高温、极端低温以及极端降水的基本变化特征。结果表明:(1)多年平均年极端高温的空间分布表现为西高东低,而极端低温则表现为自北向南的显著增加,极端降水的发生频次自南向北逐渐减少;(2)极端高温在江苏中部以及南部大部分地区有上升趋势,而西北地区则有弱的下降趋势;全省极端低温表现为显著的升高趋势;极端降水频次在南部地区有增加的趋势,北部减少趋势,中部则无变化趋势。(3)江苏极端高温、低温和极端降水的年际和年代际变化具有区域性差异,其中极端降水频次变化的区域性差异最为明显。     

人类活动对中国区域气候及水循环的影响数值试验

使用区域气候模式RegCM3,进行了人类活动(植被分布和CO2含量的变化)对中国区域气候及水循环影响的数值模拟试验.模拟结果表明:在植被退化和CO2浓度增加的共同影响下,春、夏季气温增加明显,特别是北部地区,秋、冬季我国气温降低明显,说明气温的年较差变大,极端气温事件发生的几率也随之变大;我国降水大体上呈现南方降水增多、北方降水减少的趋势,华北、内蒙古地区减少最多,而降水增加区域则集中在长江以南地区,这样的变化趋势将使得降水异常事件发生更加频繁.     

中国近54年来夏季极端降水事件特征研究

利用1960~2013年中国6~8月无缺测的571站逐日降水资料,定义7个极端降水指数,研究中国夏季极端降水事件特征。结果表明:(1)极端降水事件空间分布存在明显的区域性差异,长江中下游地区、华南地区、西北地区表现为增加趋势,东北地区、华北地区、西南部分地区表现为减少趋势;时间分布表现出具有显著的年际和年代际变化特征,极端降水事件有增加趋势,在20世纪90年代初期有明显转折。(2)M-K检验表现出极端降水事件在20世纪90年代初发生突变,突变前(后)偏弱(强)。(3)极端降水指数周期振荡不完全一致,准15年周期振荡为主,其次是准7年周期,最强振动出现在1998年。(4)除持续干期指数外,其他极端降水指数间存在较好的相关性。     

长江流域夏季极端降水时空分布特征

利用1961—2017年长江流域700个气象站夏季(6—8月)逐日降水量资料,采用泰森多边形法计算各子流域面雨量,通过Box-Cox变换和百分位法确定长江各子流域极端降水事件阈值,分析各子流域夏季极端降水事件的时空分布特征以及流域间降水空间配置关系。结论如下:(1)长江流域夏季极端降水事件的年代际特征明显,20世纪60年代至70年代极端少雨事件频发,20世纪80年代至90年代中下游以极端多雨事件为主,上游以极端少雨事件为主,21世纪以来以大范围极端少雨事件为主,且多发生在上游,而金沙江石鼓以上易发生极端多雨事件。(2)长江流域夏季极端降水前2个空间分布模态表现为:流域大部一致型,即岷沱江东部、嘉陵江北部及两湖南部夏季极端降水与流域其他地区呈反位相;南北反位相型,即长江以南与以北地区夏季极端降水呈相反的空间分布。(3)当夏季极端多雨时,长江流域夏季降水空间差异较大,空间分布格局大致有4类,但以沿江干流偏多为主;夏季极端少雨时,长江流域夏季降水空间一致性较高,以全流域大部偏少为主,仅岷沱江和嘉陵江或者两湖南部偏多。     

1961—2010年东北地区汛期极端降水的非均匀性特征

利用东北地区91站1961—2010年逐日降水资料,讨论东北地区汛期极端降水量的非均匀性分布特征。结果表明,东北地区极端降水量呈现由南向北逐渐减少的分布特征;极端降水主要集中出现在7月,东北地区中部极端降水出现相对比较分散,东北东部、北部、西部和南部出现比较集中;东北地区汛期纬度偏低地区极端降水量偏多,极端降水发生较晚,且较为集中,纬度偏高地区则反之。汛期极端降水量与集中度存在显著的负相关关系,即汛期极端降水量越多,极端降水越集中,特别是嫩江、松花江流域。     

1961-2010年东北地区汛期极端降水的非均匀性特征

利用东北地区91站1961-2010年逐日降水资料,讨论东北地区汛期极端降水量的非均匀性分布特征。结果表明,东北地区极端降水量呈现由南向北逐渐减少的分布特征;极端降水主要集中出现在7月,东北地区中部极端降水出现相对比较分散,东北东部、北部、西部和南部出现比较集中;东北地区汛期纬度偏低地区极端降水量偏多,极端降水发生较晚,且较为集中,纬度偏高地区则反之。汛期极端降水量与集中度存在显著的负相关关系,即汛期极端降水量越多,极端降水越集中,特别是嫩江、松花江流域。     

1961—2014年江苏省降水集中度的非均匀性特征

基于江苏省66个站点逐日降水观测资料,利用降水集中度指数PCD和Q,分析了1961—2014年江苏省降水集中度的非均匀性特征。结果表明：1） 江苏省降水集中度指数PCD和Q的历年平均值分别为0416和0353,PCD年际变化较大,多年呈减小的趋势,而Q的年际变化较小,呈增大趋势,但PCD和Q的多年变化趋势均较小。2） 全省从北部到南部降水集中程度逐渐减小,即江苏省北部地区降水比南部地区集中,但前者的降水集中时段较后者略晚。3） 多水年的降水集中度指数PCD比少水年大,即多水年降水比少水年更集中,而Q值在多水年和少水年差别不大,甚至少水年降水更集中。4） 降水集中度指数PCD和Q在多水年和少水年的空间分布均呈现“北高南低”特征,无论多水年还是少水年,江苏省北部地区降水均比南部更为集中。     

未来全球气候变暖情景下华东地区极端降水变化的数值模拟研究

将公用气候系统模式与区域气候模式单向嵌套(CCSM3-RegCM3),分别对1950—1999年和2000—2099年进行大气温室气体中等排放情景(A1B)下中国区域高分辨率连续数值模拟试验,以分析其对我国华东降水量时空变化的模拟能力,探讨未来华东地区极端降水的可能变化。与CRU、CMAP实际降水观测及NCEP再分析资料驱动的RegCM3模拟结果的对比显示,模式系统较好地重现了我国华东降水水平分布、日变化以及极端降水指数变化特征。在此基础上,分析了A1B情景下21世纪中期和后期降水以及东亚夏季风的可能变化。(1)未来中国长江中下游及其以北地区降水普遍增加,以南沿海地区降水相对变化不明显甚至减少,21世纪末期相对21世纪中期更为明显;(2)极端降水指数显示未来长江中下游及其以北地区极端降水增加10%～15%,干旱程度减弱,而南部沿海地区小范围极端降水减少,最大持续无雨期天数增加最大可达30%;(3)未来东亚夏季风偏强,尤其是西南气流加强,致使夏季风明显北推,这是导致长江中下游及其以北地区降水显著增加的主要原因。     

SIMULATING THE RESPONSE OF NON-UNIFORMITY OF PRECIPITATION EXTREMES OVER CHINA TO CO2 INCREASING BY MIROC_HIRES MODEL

The response of non-uniformity of precipitation extremes over China to doubled CO2has been analyzed using the daily precipitation simulated by a coupled general circulation model,MIROC_Hires.The major conclusions are as follows:under the CO2increasing scenario(SRES A1B),the climatological precipitation extremes are concentrated over the southern China,while they are uniformly distributed over the northern China.For interannual variability,the concentration of precipitation extremes is small over the southern China,but it is opposite over the northern China.The warming effects on the horizontal and vertical scales are different over the northern and southern part of China.Furthermore,the atmospheric stability is also different between the two parts of China.The heterogeneous warming is one of the possible reasons for the changes in non-uniformity of precipitation extremes over China.     

Numerical Simulation of CO2 Doubling Impacts on Regional Climate in Northwest China

A numerical study on CO2 doubling effects upon temperature and precipitation in NW China is conducted using an improved regional climate model, with the modeling data from a global climate model (Australian CSIRO R21L9) as the background. Results suggest that the doubling would lead to the rise of surface temperature in the project region, with the maximum occurring in southern Xinjiang Basin and eastern Qilian Mountains in contrast to a relatively smaller increase in northern Xinjiang and southern Shaanxi Provinces. On a seasonal basis the winter temperature warming is most pronounced while the autumn shows a relatively less signi cant rising trend. The study region experiences the greatest warming compared with other parts of the country. With CO2 content doubling, rainfall change varies from place to place in this region, with rainfall increase in the west, particularly in northern Xinjiang, in the vicinity of the Tianshan area, southwestern Qinghai, and Hexi area (west of the Yellow River of Gansu), as opposed to the eastern portion of NW China, where precipitation decreases. If CO2 concentration is doubled, most of the study region would receive more rainfall in spring, implying that spring drought would be alleviated while its eastern part would see varying-degree decreased precipitation in the other three seasons, especially in summer, suggesting that drought there would be intensified in summer and autumn, thereby exerting major influence on rain-fed agriculture there.     

夏季副热带行星波动振幅变化与我国极端降水的关系

围绕夏季副热带行星波动的振幅异常,分析其与我国极端降水的关系,并探讨可能的影响机制。结果表明,北半球夏季行星波振幅强、弱年的差异主要表现在北太平洋副高和北大西洋副高的增强,并伴随着欧亚大陆的低压加深,即表现为海陆热力差异的增加和东亚夏季风环流的加强。在振幅强年,极端降水强度在我国北部明显加强,极端降水雨带异常偏北,而我国长江中下游流域极端降水则减弱,弱年则相反。伴随着增强的季风环流,在振幅强年水汽输送到达我国北部明显增强。同时,在大气低层我国绝大部分地区对流不稳定加剧;而在对流层中高层,我国北方地区斜压不稳定加剧,这都有利于振幅强年我国偏北部地区的极端降水偏强      

Changing climate extremes in the Northeast United States: observations and projections from CMIP5

Climate extremes indices are evaluated for the northeast United States and adjacent Canada (Northeast) using gridded observations and twenty-three CMIP5 coupled models. Previous results have demonstrated observed increases in warm and wet extremes and decreases in cold extremes, consistent with changes expected in a warming world. Here, a significant shift is found in the distribution of observed total annual precipitation over 1981-2010. In addition, significant positive trends are seen in all observed wet precipitation indices over 1951-2010. For the Northeast region, CMIP5 models project significant shifts in the distributions of most temperature and precipitation indices by 2041-2070. By the late century, the coldest (driest) future extremes are projected to be warmer (wetter) than the warmest (wettest) extremes at present. The multimodel interquartile range compares well with observations, providing a measure of confidence in the projections in this region. Spatial analysis suggests that the largest increases in heavy precipitation extremes are projected for northern, coastal, and mountainous areas. Results suggest that the projected increase in total annual precipitation is strongly influenced by increases in winter wet extremes. The largest decreases in cold extremes are projected for northern and interior portions of the Northeast, while the largest increases in summer warm extremes are projected for densely populated southern, central, and coastal areas. This study provides a regional analysis and verification of the latest generation of CMIP global models specifically for the Northeast, useful to stakeholders focused on understanding and adapting to climate change and its impacts in the region.     

INTERANNUAL VARIABILITY OF WINTER-TO-SPRING CIRCULATION TRANSITION OVER SOUTHERN CHINA AND ITS SURROUNDING AREAS AND MECHANISMS

The climatological features and interannual variation of winter-to-spring transition over southern China and its surrounding areas, and its possible mechanisms are examined in this study. The climatological mean winter-to-spring transition is approximately in mid-March over southern China and the northern South China Sea. During the transition stage, anomalous southwest winds prevail at low-level over southern China and its nearby regions with enhanced convergence center over southern China, bringing more moisture from the Bay of Bengal (BOB) and the South China Sea (SCS) to southern China; meanwhile, the upper level is characterized by an obvious divergence wind pattern over southern China to the southwest part of Japan and enhanced upward motion. All the change of circulation is favorable to an increase of precipitation over southern China after seasonal transition. The winter-to-spring transition is predominantly on the interannual variation over southern China and the northern SCS. Early winter-to-spring transitions may induce more precipitation over southern China in spring, especially in March, while late cases will result in less precipitation. The interannual variability of the winter-to-spring transition and the related large-scale circulation are closely associated with the decaying phase of ENSO events. The warm ENSO events contribute to early winter-to-spring transitions and more precipitation over southern China.     

Multi-model projection of July�CAugust climate extreme changes over China under CO2 doubling. Part I: Precipitation

Potential changes in precipitation extremes in July–August over China in response to CO 2 doubling are analyzed based on the output of 24 coupled climate models from the Twentieth-Century Climate in Coupled Models (20C3M) experiment and the 1% per year CO 2 increase experiment (to doubling) (1pctto2x) of phase 3 of the Coupled Model Inter-comparison Project (CMIP3). Evaluation of the models’ performance in simulating the mean state shows that the majority of models fairly reproduce the broad spatial pattern of observed precipitation. However, all the models underestimate extreme precipitation by ～50%. The spread among the models over the Tibetan Plateau is ～2–3 times larger than that over the other areas. Models with higher resolution generally perform better than those with lower resolutions in terms of spatial pattern and precipitation amount. Under the 1pctto2x scenario, the ratio between the absolute value of MME extreme precipitation change and model spread is larger than that of total precipitation, indicating a relatively robust change of extremes. The change of extreme precipitation is more homogeneous than the total precipitation. Analysis on the output of Geophysical Fluid Dynamics Laboratory coupled climate model version 2.1 (GFDL-CM2.1) indicates that the spatially consistent increase of surface temperature and water vapor content contribute to the large increase of extreme precipitation over contiguous China, which follows the Clausius–Clapeyron relationship. Whereas, the meridionally tri-polar pattern of mean precipitation change over eastern China is dominated by the change of water vapor convergence, which is determined by the response of monsoon circulation to global warming.     

REGIONAL CHARACTERISTICS OF SUMMER PRECIPITATION ANOMALIES OVER CHINA*

The regional characteristics of precipitation anomalies of total summer precipitation of June,July and August and individual monthly precipitation are analyzed by using the method of Varimax EOF and correlation analysis.The data set used is the precipitation of a 5°Lat.×5°Long.spatial uniform network over China in the period of 1959 to 1994.The analysis of total summer precipitation shows that the most significant regional characteristic is the existence of negative correlation in precipitation anomalies between the lower reaches of the Changjiang River and the Huaihe River Valley(the LRCH region) and the middle reaches of the Huanghe River Valley(the MRH region),and between the LRCH region and South China.The precipitation anomaly over the Sichuan Basin is negatively correlated with that over eastern part of Qinghai-Xizang Plateau and that over the LRCH region.The regional characteristics of summer precipitation anomalies in western China are that there exists negative correlation between the summer precipitation anomalies over the southern part of the central and eastern Qinghai-Xizang Plateau and that over its northern part.There also exists positive correlation between the southern part of the central and eastern Qinghai-Xizang Plateau and the eastern part of North China and the southern part of Northeast China.The above spatial correlation modes have significant periods of about 3 years and ten years.The analysis of the monthly precipitation shows that in June there exists positive correlation among the precipitation anomalies over the LRCH region,the eastern part of North China and Northeast China.In July,the precipitations in the MRH region and the LRCH region are negatively correlated.The regional characteristic of precipitation anomalies in August is very similar to that of the total summer precipitation anomalies.     

全球变暖形势下中国陆表水分的变化

利用政府间气候变化委员会第四次评估报告（IPCCAR4）中的10个耦合模式CO：加倍试验和控制试验的模拟结果,分析了全球变暖背景下中国水分的变化。结果表明,随着全球变暖,东亚夏季风增强,冬季风减弱,使得冬夏季向中国区域输送的水汽都增强;中国区域降水,夏季除长江流域外基本都增加,冬季除华南外都增加。夏季降水蒸发差（P—E）除了在东北和南方增加外,从长江流域一直到西北有一带状减小带;冬季几乎所有模式的P—E表现为北方增加、南方减小。在全球变暖背景下,降水、蒸发和径流的综合结果以及积雪的作用使得土壤湿度在干旱区增加,且冬季干旱区土壤变湿的强度和范围大于夏季,然而在其他区域土壤湿度减少。上述结论是基于多模式集合平均结果,对未来气候的预估具有一定的参考价值,然而模式间存在较强差异性,仍具有较大不确定性。     

Multi-Model Projection of July–August Climate Extreme Changes over China under CO_2 Doubling. Part II: Temperature

This is the second part of the authors’ analysis on the output of 24 coupled climate models from the Twentieth-Century Climate in Coupled Models (20C3M) experiment and 1% per year CO 2 increase experiment (to doubling) (1pctto2x) of phase 3 of the Coupled Model Inter-comparison Project (CMIP3). The study focuses on the potential changes of July–August temperature extremes over China. The pattern correlation coefficients of the simulated temperature with the observations are 0.6–0.9, which are higher than the results for precipitation. However, most models have cold bias compared to observation, with a larger cold bias over western China (>5°C) than over eastern China (<2°C). The multi-model ensemble (MME) exhibits a significant increase of temperature under the 1pctto2x scenario. The amplitude of the MME warming shows a northwest–southeast decreasing gradient. The warming spread among the models (～1°C– 2°C) is less than MME warming (～2°C–4°C), indicating a relatively robust temperature change under CO 2 doubling. Further analysis of Geophysical Fluid Dynamics Laboratory coupled climate model version 2.1 (GFDL-CM2.1) simulations suggests that the warming pattern may be related to heat transport by summer monsoons. The contrast of cloud effects also has contributions. The different vertical structures of warming over northwestern China and southeastern China may be attributed to the different natures of vertical circulations. The deep, moist convection over southeastern China is an effective mechanism for "transporting" the warming upward, leading to more upper-level warming. In northwestern China, the warming is more surface-orientated, possibly due to the shallow, dry convection.     

Responses of the Leading Mode of Coldwave Intensity in China to a Warming Climate

Regional extreme cold events have changed notably with recent global warming.Understanding how these cold extremes change in China is an urgent issue.This study examines the responses of the dominant mode of China coldwave intensity （CWI） to global warming by comparing observations with simulations from the Intergovernmental Panel on Climate Change （IPCC） Fourth Assessment Report （AR4）.The leading modes of the CWI derived from empirical orthogonal function （EOF） analysis have different features in different epochs.During the cold period （1957-1979）,the leading mode is characterized by centers of extreme values of CWI in northern China; while during the warm period （1980-2009）,the leading mode features two maximum loading centers over northern and southern China.The southward extension of the extreme value center is associated with an increase in the intensity of coldwave variations in southern China relative to previous decades.A multi-model ensemble of seven state-of-the-art climate models shows an extension of the maximum loading of the CWI leading mode into southern China by the end of the 21st century （2080-2099） under the A1B global warming scenario （atmospheric CO2 concentration of 720 ppm）.These results indicate that the primary response of the leading mode of CWI to global warming might be a southward extension of the extreme value center.This response may be associated with the southward shift of the storm track observed during recent decades.A significant change in the baroclinic growth rates around 40°N is accompanied by a consistent change in synoptic eddies in the troposphere,which may indicate a shift in the preferred latitude for the growth of eddies.As a result,the storm track tends to move southward,suggesting that southern China may experience increased storminess due to increased baroclinic instability in the troposphere.