中国大陆对全球变暖响应的区域敏感性分析

依据分辨率为0.5°×0.5°经纬度的网格数据,运用Mann-Kendall法对中国大陆各地在20世纪温度变化进行了分析.结果显示:有两次明显的升温事件,分别发生在20年代初到40代中期(第一次升温事件)和70年代中期以来(第二次升温事件);对比各地对全球升温响应的突变时间,发现在中国大陆的响应规律为:沿经线方向,大约35°N附近为两次升温事件的分界线,以它为界,第一次升温事件中温度转折时间向低纬度不断提早,在第二次升温事件中,升温突变时间越向高纬度地区越提早;在纬线方向上,中国东部地区对升温响应的时间突变点基本一致,但在青藏高原及其周围地区,由于受特殊的高原气候的影响,升温时间突变迥然不同.青藏高原大大提前了其西部和西北地区对全球升温的响应时间,同时它又推迟了其西南地区对全球升温响应的时间.通过分析发现,升温机制不同,温度变化区域响应的敏感性主要是纬度位置和地形因素综合影响的结果,而纬度位置是制约区域温度变化敏感性的主导性因素.     

玉龙雪山冰川变化对ENSO事件的响应

应用独立性检验方法就ENSO事件对我国云南丽江地区降水、温度和冰川变化影响进行了相关分析. 结果表明丽江降水与ENSO事件有密切关系, MEI值为负时下一年降水量增加, MEI正值与下一年降水量减少相对应. 丽江气温与ENSO事件关系显著, MEI值为负时下一年气温降低, MEI正值与下一年气温增加对应. 利用夏季降水量和气温设计了冰川积累量指数并与MEI进行对比分析, 发现当年MEI值与下一年的冰川积累指数存在一定相关关系, 并影响未来的冰川的变化, MEI为正时冰川将会退缩, MEI值为负时冰川将会前进.     

古里雅冰芯气候记录对ENSO事件的响应

ENSO现象是一个产生于大尺度海-气相互作用的全球事件, 它是影响全球中低纬度大部分地区气候年际变化的一个重要的因子. 通过高通滤波法、累积异常法以及非参数检验等方法, 对古里雅冰芯中所记录的气候信息与ENSO事件进行相关分析表明, 在厄尔尼诺年, 古里雅冰芯中记录的降水量显著减少, 但对于δ¹⁸O而言, 虽然也在厄尔尼诺年偏低, 但未达到显著性水平.     

ENSO事件对长江上游1470-2003年旱涝灾害影响分析

对长江上游旱涝灾害时间序列(1470-2003年)及SST指数序列(1868-2003年)作统计相关与谱分析,探讨了长江上游旱涝灾害与ENSO事件的遥相关关系.结果表明:长江上游旱涝灾害主周期要大于ENSO事件的主周期,前者主周期主要为16.69a,5.09a以及10.47a,而后者主周期主要为5a,～10～12年以及～10a.交叉谱分析结果表明,长江上游旱涝灾害与SST在约5a以及约10～12a周期上呈现出显著的相关性.可以认为ENSO事件发生周期与生存周期的长短直接影响着长江上游旱涝灾害发生的周期与频率,并在5a以及10～12a的周期上表现出高的统计相关性.SST指数与长江上游旱涝灾害相关分析表明,ElNiño事件的发生使长江上游发生旱灾机率增大,而LaNiña事件的发生则使长江上游发生涝灾的机率增大.     

青海省东部地区气候变化与ENSO事件关系

ENSO(厄尔尼诺-南方涛动)事件的发生会影响区域气候变化。通过对青海东部地区5个站点1959~2005年的降水、气温资料、干燥度和海表温度距平(SSTA)与南方涛动指数(SOI)的月序列进行相关性分析和周期性谱分析,探讨了区域气候变化与ENSO事件的关系。结果表明,1959~2005年青海省东部地区气候趋于暖干,并且冬春季变化趋势显著;暖事件的发生对该区域降水、气温及干燥度的变化影响较大,且气温对ENSO事件的响应要大于降水;ENSO事件对该区域的气候变化有两到三个月的影响期,EI Nino事件的发生对当月的影响较大,而La Nina事件的发生对该区域有两到三个月的持续影响期;降水距平及气温距平与ENSO事件存在短期相同的变化趋势,且该地区气候变化受南方涛动影响明显。     

PRELIMINARY STUDY ON THE ENSO SIGNAL RECORDED BY THE δ18O SERIES OF ICE CORE FROM MIAOERGOU FLAT-TOPPED GLACIER,EASTERN TIENSHAN

基于东天山庙尔沟冰芯1953～2004年的δ18O序列,利用冰芯钻取点附近的气象站观测资料、NCEP/NCAR再分析数据等资料,初步分析了庙尔沟冰芯δ18O序列与ENSO事件之间的关系.研究表明,庙尔沟冰芯δ18O年序列与当年10月至次年3月间的热带太平洋东部地区(约170°～80°W)海表温度、亚洲西风气流500mb纬向风速及当年7～12月的ENSO指数之间均存在显著负相关.另外,ENSO事件对古里雅冰芯、马兰冰芯及庙尔沟冰芯δ18O序列的影响与其对达索普冰芯及Sajama冰芯δ18O序列的影响明显不同,说明ENSO事件对不同气候区冰芯δ18O序列的影响机制可能存在差异.     

近百年全球温度变化中的ENSO分量

首先利用Nin o C区海温、Nin o 3区海温及两个不同的SOI序列,建立了1867年春到1998年春期间的ENSO指数序列.近百年来ENSO对热带、热带外地区年际尺度的温度变化有显著影响,热带地区温度变化滞后ENSO约1个季,热带外地区滞后约2～3个季.ENSO能解释同期全球年平均温度方差的14%～16%左右;如果考虑ENSO对温度影响的滞后特征,则能解释的部分提高到20.6%.ENSO对温度的影响主要是在年际时间尺度上,对近百年来全球温度变化的长期趋势和年代际变率贡献不大.     

近百年全球温度变化中的ENSO分量

首先利用Nin~o C区海温、Nin~o 3区海温及两个不同的SOI序列,建立了1867年春到1998年春期间的ENSO指数序列。近百年来ENSO对热带、热带外地区年际尺度的温度变化有显著影响,热带地区温度变化滞后ENSO约1个季,热带外地区滞后约2～3个季。ENSO能解释同期全球年平均温度方差的14%～16%左右;如果考虑ENSO对温度影响的滞后特征,则能解释的部分提高到20.6%。ENSO对温度的影响主要是在年际时间尺度上,对近百年来全球温度变化的长期趋势和年代际变率贡献不大。     

东太平洋暖池

利用1950-2002年间的海面温度(SST)资料,研究了东太平洋暖池的形态和热状态特征,并探讨了暖池变异与恩索(ENSO)的关系。结果表明,暖池形态和热状态均有明显的季节特征和年际变化,其年际变化与ENSO循环相联系;暖池热含量、面积和南界与ENSO有着十分密切的相关关系。合成分析结果显示,在厄尔尼诺(El Nino)事件爆发的前一年,暖池热含量偏少,面积偏小,南界偏北,而在事件爆发后,暖池热含量增多,面积增大,南界南移;在拉尼娜(La Ni?a)事件期间,暖池热含量、面积和南界的演变趋势基本与El Nino事件期间的情况相反。东太平洋暖池的经向变异可能对ENSO暖(El Nino)、冷(La Nina)事件的发展有重要作用。     

台湾东北部海域海表温度季节与年际异常及其对历史气候重建的启示

SST（海洋表层温度,sea surface temperature）的季节与年际异常对于认识现代全球变暖、重建历史时期气候变化以及探讨气候变化机制具有重要意义,而台湾东北部海域SST季节与年际异常的研究却相对较少.为更好地理解现代全球变暖和历史气候变化,利用NOAA的全球海表温度最优插值资料、Hadley中心的全球海表温度数据以及MEI逐月指数,分析了现代全球变暖背景下台湾东北部海域SST季节与年际异常及其控制因素.季节尺度上,受东亚冬季风的影响,研究海区的冬季SST变化比夏季更为剧烈,冬季SST控制着该海域年均SST和SST季节性的变化.现代器测和古气候记录表明该现象在年际-百年尺度上可能一直存在.年际尺度上,SST异常与MEI指数存在显著的8个月滞后相关性,ENSO（厄尔尼诺—南方涛动,El Ni?o-Southern Oscillation）事件通过东亚冬季风来影响研究海域的SST变化.在历史气候重建中区分气候变化的多尺度性和替代指标的季节性、认识历史气候对ENSO及东亚冬季风的响应特征和机制,这将有助于进一步理解现代全球气候变暖的原因.      

过去千年中国东部持续性严重干旱事件的模拟研究

文章利用CESM1.1(公共地球系统模式)模式过去千年集合试验结果,对模拟的过去千年中国东部持续性严重干旱事件的时空特征及发生机制进行了初步分析。模式模拟出过去千年中国东部发生了7次持续性严重干旱事件,分别为883~910年、951~977年、1253~1305年、1327~1346年、1471~1488年、1587~1610年和1688~1699年干旱事件,其中仅1471~1488年干旱事件与中国东部旱涝指数对应较好,表明模式对中国东部干旱事件的模拟能力较低。这7次干旱事件均与模拟的ENSO(厄尔尼诺-南方涛动)负位相状态相对应,揭示ENSO可能对中国东部干旱事件的发生起了非常重要的作用。模拟分析结果显示,1253~1305年干旱事件前期可能主要受火山活动驱动,后期则可能受到太阳活动和自然内部变率的影响。另外,1587~1610年干旱事件后期可能也受到火山活动的影响;883~910年和951~977年干旱事件则完全受自然内部变率的影响。对1327~1346年、1471~1488年和1688~1699年这3次干旱事件,无法分辨外强迫和内部变率ENSO的各自贡献。     

Risk analysis for drought hazard in China: a case study in Huaibei Plain

In recent decades, risk management is significant to mitigate the severe status caused by droughts. As one of the primary components in risk analysis, drought hazard analysis is basic but important. In this paper, the framework of drought risk analysis and the methodology for drought hazard analysis are presented, and Huaibei Plain of China is chosen as the study area. The whole study region is divided into three parts (northern, central, and southern) by geographical factors, and a developed index named drought comprehensive Z index (DCZI) containing hydrological and meteorological factors is employed for drought hazard analysis in each area. By comparison, it implicates that DCZI is applicable for Huaibei Plain and indicates drought extent more objectively. Moreover, the results of drought hazard analysis reflect that the northern area is affected by droughts more seriously. As for the whole region, there is a great probability of severe drought. Finally, some policy recommendations on drought management are also made.     

Spatio-temporal Distribution of Three Kinds of Flash Droughts over Agricultural Land in China from 1983 to 2015

At present, flash drought occurs globally and regionally and causes a lot of socio-economic loss in a very short time. Therefore, flash drought has been regarded as one of the hottest issues in drought research. However, flash drought monitoring, prediction and decision-making have encountered a lot of challenges due to its multiple driven factors and complex spatio-temporal process. Aiming at this problem, this paper focused on the agricultural land in China, and analyzed the spatio-temporal distribution of three kinds of flash droughts (i.e., precipitation-deficit, high-temperature, and composite flash droughts) from 1983 to 2015. We studied the occurrences, duration, spatial distribution, temporal distribution, and trend of all three kinds of flash droughts. Our results demonstrated that, the occurrences of flash drought agricultural land in China increased year by year, among which high-temperature flash drought increased dramatically; duration of flash droughts had different trends, but the variations were relatively smooth; Northeast China was identified as a vulnerable area of flash drought, indicating more flash drought events and longer duration; flash droughts in China were found to concentrate in spring (high-temperature drought) and summer seasons (precipitation-deficit drought). This study is helpful for building new flash drought monitoring method and system, and it is also valuable for flash drought preparedness on regional scale.     

基于SPEI指数的兰州干旱特征与气候指数的关系

基于1961～2012年逐日气象及同期4个气候因子资料系列,采用标准化降水蒸散发指数(SPEI)定量描述兰州地区干旱状况,利用M-K检验分析了该地干旱变化趋势,采用皮尔逊相关系数法以及交叉小波变换法研究了SPEI与北大西洋涛动(NAO)、北极振荡(AO)、太平洋十年涛动(PDO)以及厄尔尼诺-南方涛动(ENSO)四个气...     

Spatiotemporal variability of meteorological droughts in southeastern USA

Droughts in the southeast USA have been linked to economic losses and intractable water conflicts. The region has witnessed several severe droughts events during the period from 1901 to 2005. In this study, spatiotemporal variability in meteorological drought characteristics in the southeast were analyzed using two different datasets by the means of standard precipitation index and standard precipitation evapotranspiration index for the period 1901–2005 for agricultural and non-agricultural seasons. The study periods were divided into three epochs 1901–1935, 1936–1970, and 1971–2005 and drought characteristics, in terms of severity, frequency, number, and trends were analyzed. Additionally, areal extent, drought severities and return periods associated with three severe drought years 1904, 1954, and 2000 were analyzed. Except for the state of Florida, results indicate decrease in drought severity during the recent epoch of 1970–2005 in the study domain. Trend analysis confirms that the study domain has become wetter over the last 105 years. Wetting trends were more prominent in the agricultural season. Additionally, droughts seem to have migrated from the western part of the study area encompassing the states of Alabama, Tennessee, Louisiana, and Mississippi to the Florida panhandle region during the recent epoch. Droughts exhibited higher spatiotemporal variability during the agricultural season compared to the non-agricultural seasons. Results also showed that early to mid-1950s experienced some of the most severe droughts in the study domain. Some of the drought events, such as the drought of 1954 and 2000, have been equivalent to a 100-year drought event in the southeast. The results from this study form the benchmark for studying the impacts of future climate change projections on meteorological droughts in the southeast.     

西北地区东部季节干旱的时空变化特征分析

干旱作为我国西北地区东部影响最大的气象灾害, 可引起农业减产、水资源短缺、土地荒漠化和生态环境恶化等严重问题.在国家新一轮西部大开发战略实施之初, 在全球气候变暖背景下, 有必要对干旱发展的最新特征和演变趋势进行详细分析研究, 为加强防旱、抗旱,促进经济发展提供科学决策依据和参考.采用国家干旱标准综合干旱指数(CI指数), 利用西北地区东部74个气象代表站逐日气温、降水资料, 分析了西北地区东部不同级别干旱日数在各个季节的时空分布和变化趋势. 结果表明: 在气候变暖背景下, 西北地区东部从长期趋势看, 春、夏、秋季干旱呈加剧趋势, 冬季干旱呈减轻趋势. 21世纪以来春、夏季干旱进一步加剧, 尤其是夏季加剧更显著, 而秋、冬季干旱出现了减弱的新趋势. 在西北地区东部主降水期3-11月重-特旱加剧趋势比轻-中旱加剧显著, 南部干旱化趋势比北部更加明显. 尤其是宁夏同心地区春旱加剧非常显著, 已成为西北地区东部重-特旱最严重的地区.对于干旱发展的这一新动态, 必须引起有关部门的高度重视, 采取科学、有效手段加强防旱、抗旱.     

近300a来塔里木河流域旱涝灾害特征分析

干旱与洪涝是极端水文事件中最具有代表性的水文事件,在气候变化的影响下旱涝灾害事件越来越引起人们的关注. 采用传统的气象干旱指标-标准化降水指数SPI和小波分析法、反距离加权法以及线性回归分析,研究了近300 a来塔里木河流域旱涝灾害分布特征及关键影响因素. 结果表明：近300 a来塔里木河流域旱涝灾害呈增加的趋势,且洪涝事件较干旱事件明显. 其中,喀什、阿克苏等地的发生频率最高,并表现为群发性;近60 a塔里木河流域自西向东旱涝灾害事件呈交替现象. 小波分析结果表明,塔里木河流域旱涝灾害呈现15 a的周期性,由此推断未来5~10 a研究区湿润化面积仍有扩大的可能. 大气环流指数与多尺度下的SPI指相关性检验表明,PNA对秋季和冬季的SPI值的影响较为显著;旱涝灾害对农牧业的影响较为严重,其中,洪涝灾害的影响大于干旱.     

Characterization and evaluation of MODIS-derived Drought Severity Index (DSI) for monitoring the 2009/2010 drought over southwestern China

This article investigates whether the Moderate Resolution Imaging Spectroradiometer (MODIS)-derived global terrestrial Drought Severity Index (DSI) had the capability of detecting regional drought over subtropical southwestern China. Monthly, remotely sensed DSI data with 0.05° spatial resolution were used to characterize the extent, duration, and severity of drought from 2000 to 2010. We reported that southwestern China suffered from incipient to extreme droughts from November 2009 to March 2010 (referred to as the “drought period”). The area affected by drought occupied approximately 74 % of the total area of the study region, in which a moderate drought, severe drought, and an extreme drought accounted for 20, 12.7, and 13.2 % of the total area, respectively; particularly in March 2010, droughts of severe and extreme intensity covered the largest areas of drought, which were 16.1 and 18.6 %, respectively. Spatially, eastern Yunnan, western Guizhou, and Guangxi suffered from persistent droughts whose intensities ranged from mild to extreme during the drought period. Pearson’s correlation analyses were performed between DSI and the in situ meteorological station-based Standardized Precipitation Index (SPI) for validating the monitoring results of the DSI. The results showed that the DSI corresponded favorably with the time scales of the SPI; meanwhile, the DSI showed its highest correlation (mean: r = 0.58) with a three-month SPI. Furthermore, similar spatial patterns and temporal variations were found between the DSI and the three-month SPI, as well as the agro-meteorological drought observation data, when monitoring drought. Our analysis suggests that the DSI can be used for near-real-time drought monitoring with fine resolution across subtropical southwestern China, or other similar regions, based solely on MODIS-derived evapotranspiration/potential evapotranspiration and Normalized Difference Vegetation Index data.     

多变量干旱事件识别与频率计算方法

干旱持续时间久、影响范围大,时空连续性是干旱的基本特征,以往研究大多考虑单变量或双变量。通过给定阈值识别干旱斑块和判断两相邻时间干旱的连续性,提出了时空连续的干旱事件三维识别方法,用干旱历时、干旱面积、干旱烈度、干旱强度和干旱中心位置5个特征变量对一场干旱事件进行度量;提出了基于Copula函数的干旱历时-面积-烈度三变量频率分析方法。以中国西南地区为例,采用SPI(Standard Precipitation Index)干旱指标识别了近52年发生历时等于或大于3个月的干旱事件,一共78场,其中2009年8月至2010年6月最严重干旱事件的重现期为94年一遇。通过比较概率分布函数和Copula函数,表明在干旱频率分析时需要考虑干旱历时、面积、烈度3个特征变量。