Changing Trends of Daily Temperature Extremes with Different Intensities in China

By comparing two sets of quality-controlled daily temperature observation data with and without the inhomogeneity test and adjustment from 654 stations in China during 1956-2004 and 1956-2010, impacts of inhomogeneity on changing trends of four percentile temperature extreme indices, including occurrences of cold days, cold nights, warm days, and warm nights with varying intensities, were discussed. It is found that the inhomogeneity affected the long-term trends averaged over extensive regions limitedly. In order to minimize the inhomogeneity impact, the 83 stations identified with obvious inhomogeneity impacts were removed, and an updated analysis of changing trends of the four temperature extreme indices with varying intensities during 1956-2010 was conducted. The results show that annual occurrences of both cold nights and cold days decreased greatly while those of warm nights and warm days increased significantly during the recent 20 years. The more extreme the event is, the greater the magnitude of changing trends for the temperature extreme index is. An obvious increasing trend was observed in annual occurrences of cold days and cold nights in the recent four years. The magnitude of changing trends of warm extreme indices was greater than that of cold extreme indices, and it was greater in northern China than in southern China. Trends for summer occurrence of cold days were not significant. Decreasing trends of occurrences of both cold nights and cold days were the greatest in December, January, and February (DJF) but the least in June, July, and August (JJA), while increasing trends of warm nights were the greatest in JJA. Cold nights significantly decreased from 1956 to 1990, and then the decreasing trend considerably weakened. The decreasing trend also showed an obvious slowdown in recent years for occurrence of cold days. However, increasing trends of warm nights and warm days both have been accelerated continuously since the recent decades. Further analysis presents that the evolution of the trends for occurrences of the four temperature extreme indices was dominated by the changes in northern China.     

云南不同气候带极端气温变化趋势

利用1975-2008年云南6个气候代表站的最高气温、最低气温和平均气温资料,分析了气温序列的变化趋势,探讨了可能的形成原因.结果显示,各代表站的气温总体上呈上升趋势,但气温变化率的大小与其所处的气候带之间没有明显的规律性差异.代表高原气候的香格里拉站其气温增暖趋势最突出,代表北亚热带、中亚热带和南亚热带站点的气温与其有相似的变化趋势,主要表现为最低气温增温速率最大,平均气温次之,最高气温最小,而气温日较差(DTR:Differenceof Temperature Range)有明显减小趋势.温带和北热带代表站气温的变化则有不同的特征,温带的变化表现为最高气温显著上升,最低气温上升速率略小于平均气温的上升速率,DTR变化不显著;北热带的变化表现为平均气温增温速率最大,最低气温次之,最高气温最小,DTR变化不显著.对各站相对暖日、冷日、暖夜、冷夜和霜日的逐年统计分析表明,总体上云南的冷事件在减少,而暖事件增多.     

Influence of Strong Tropical Volcanic Eruptions on Daily Temperature and Precipitation Extremes Across the Globe

This study investigates the influences of strong tropical volcanic eruptions(SVEs) on daily temperature and precipitation extreme events using long-term simulations from the Hadley Centre Coupled Model version 3(HadCM3) and the Community Earth System Model version 1.1(CESM1). The results indicate that the occurrences of daily hot extremes and daily heavy precipitation extremes decrease over most parts of the world in the peak forcing years of SVEs. Due to the volcanic cooling effect, the average probability of daily hot extremes decreases by approximately50% across the globe. The decrease in intensity is stronger for midlatitude land regions and tropical South America.In contrast, daily cold extremes occur more frequently over most parts of continental regions. Globally, a cold extreme event expected once every 3 years under non-volcanic conditions can be expected every 1.5 years on average in the peak forcing years. Overall, the SVE-induced cooling effect plays a dominant role in regulating daily cold and hot extremes. Over high-latitude Eurasian regions, in contrast to other continental regions, the probability and intensity of daily cold extremes decrease due to an SVE-strengthened polar vortex and the associated temperature advection anomalies. With regard to daily heavy precipitation extremes, the probability and intensity both decrease over most monsoon areas. Further analysis suggests that the reduced probability and intensity of daily heavy precipitation extremes are mainly due to the SVE-induced global decrease in the water-holding capacity.     

基于均一化资料的中国大陆极端温度的长期趋势

近百年来,全球气候变暖。这与暖日和暖夜增加,冷日和冷夜减少相关联。文章研究结果进一步证实了这一发现。本文基于1960-2012年中国大陆542个台站均一化气温资料,通过将中国大陆划分为8个次区域,利用百分位定义法计算了极端温度指数序列,同时,运用时间趋势分析法,对中国大陆各区域极端温度和极端温度指数的时空分布及变化趋势特征进行了分析。结果表明:在全球变暖的背景下,从地理分布而言,中国大陆在过去53年除西南地区外,大部分地区最低和最高温度有显著的升高趋势,其中,东北温度升高最为明显;从季节而言,冬季极端温度升高最为明显,夏季升高最少;最低温度明显升高,最高温度也有所升高,但是最低温度的升高幅度更大。冷夜和冷日出现频率呈减少趋势,暖夜和暖日出现频率呈增加趋势,其中以冷夜指数变化最为突出,均呈现一种区域差异的现象。本文利用更新的资料验证了前人的工作,也进一步分区分析,结果可为更多地区评估以及进一步的相关研究提供参考。     

中国东北夏季极端高温变化特征及其与环流异常的联系

利用东北地区1960—2010年夏季逐日气温资料,研究了中国东北地区夏季极端高温的时空变化特征和区域性特征,并对东北地区夏季极端高温事件与大气环流异常的可能联系进行分析。结果表明,东北地区夏季极端高温频数有明显的升高趋势,升高幅度由南向北逐渐增大;东北地区南部、东北部和西北部夏季极端高温频数的年际及年代际变化存在明显差异。东北地区夏季极端高温高发年500 hPa位势高度上盛行纬向环流,东北地区上空位势高度的垂直分布接近于正压结构,且一直延伸至对流层顶,海平面气压场上亚洲大陆低压明显偏弱,南北气压梯度减小,冷空气不易南下;低发年,则反之。     

Trends in temperature extremes over nine integrated agricultural regions in China, 1961–2011

By characterizing the patterns of temperature extremes over nine integrated agricultural regions (IARs) in China from 1961 to 2011, this study performed trend analyses on 16 extreme temperature indices using a high-resolution (0.5° × 0.5°) daily gridded dataset and the Mann-Kendall method. The results show that annually, at both daytime and nighttime, cold extremes significantly decreased but warm extremes significantly increased across all IARs. Overall, nighttimes tended to warm faster than daytimes. Diurnal temperature ranges (DTR) diminished, apart from the mid-northern Southwest China Region and the mid-Loess Plateau Region. Seasonally, DTR widely diminished across all IARs during the four seasons except for spring. Higher minimum daily minimum temperature (TNn) and maximum daily maximum temperature (TXx), in both summer and winter, were recorded for most IARs except for the Huang-Huai-Hai Region; in autumn, all IARs generally encountered higher TNn and TXx. In all seasons, warming was observed at daytime and nighttime but, again, nighttimes warmed faster than daytimes. The results also indicate a more rapid warming trend in Northern and Western China than in Southern and Eastern China, with accelerated warming at high elevations. The increases in TNn and TXx might cause a reduction in agriculture yield in spring over Northern China, while such negative impact might occur in Southern China during summer. In autumn and winter, however, the negative impact possibly occurred in most of the IARs. Moreover, increased TXx in the Pearl River Delta and Yangtze River Delta is possibly related to rapid local urbanization. Climatically, the general increase in temperature extremes across Chinese IARs may be induced by strengthened Northern Hemisphere Subtropical High or weakened Northern Hemisphere Polar Vortex.

     

甘肃河东地区近30年季节极端气温指数变化与环流影响

基于1988-2017年61个气象站点逐日气温数据,分析了甘肃河东地区近30年各季节极端气温指数的时空变化特征,并分析了ENSO和AO对河东地区极端气温指数的影响。结果表明:近30年河东地区处于变暖态势中,各季节气温日较差(DTR)、暖夜日数(TN90p)、暖昼日数(TX90p)均呈增加趋势,冷夜日数(TN10p)、冷昼日数(TX10p)均呈减少趋势。甘南高原极端气温指数在各区中变化最显著,春季是各极端指数变化最显著的季节,也是河东地区DTR变化趋势不同于全国的影响因素。DTR于1992年突变后增加,平均气温于1996-1997年发生突变,其余极端气温指数于1997年突变,极端气温指数在其自身以及平均气温突变年份前后的变化反映了区域变暖的态势。El Ni?o影响河东地区冬季DTR的增加,La Ni?a影响冬季TX10p日数增加,AO正相位时河东地区夏季高温事件更易发生。     

城市化对安徽省极端气温事件的影响

利用卫星遥感资料对安徽省46个台站进行分类,统计分析了城市站、郊区站和乡村站1961-2010年的极端气温指数的年和季节的变化趋势及其受城市化的影响和贡献。结果表明：1) 近50年来,除最高气温年极大值外,其他气温年极值都有明显上升趋势,以最低温度极小值最显著;暖日、暖夜天数呈增加趋势,而冷日、冷夜天数呈减少趋势,其中暖夜和冷夜变化趋势更明显;各极端指数的变化趋势总体均表现为城市站较乡村站更显著,郊区站介于两者之间。2) 城市站最高气温极大值、最低气温极大值和最低气温极小值因城市化造成的增温分别为0.144、0.184和0.161℃/10a,增温贡献率分别达100.0%、58.8%和21.6%,但城市化对最高气温极小值影响较弱;季节尺度的城市化影响基本都造成增温,春、秋季更明显,而增温贡献率以春、夏季更明显,冬季最小或不显著。3) 城市化效应使暖日和暖夜天数增加、冷夜天数减少的趋势更加显著,城市化影响贡献率都在40%以上;暖日、暖夜和冷夜天数的城市化影响贡献率都在冬季最小或不显著。     

1957-2005年河南省降水和温度极端事件变化

利用河南省1957-2005年逐日降水,最高、最低和日平均气温资料,分析了近50 a河南省极端天气事件的变化趋势。结果表明：1957-2005年河南省暴雨日数、极端降水事件和严重干燥事件发生频率都在增加,但其线性趋势并不显著;暴雨和极端降水的变化趋势呈明显的南北差异;异常高温事件增加而异常低温事件减少,暖冬的趋势比较显著;高温日数和低温日数都显著减少,其变化趋势的空间分布具有很好的一致性。     

1957-2005年河南省降水和温度极端事件变化

 利用河南省1957-2005年逐日降水,最高、最低和日平均气温资料,分析了近50 a河南省极端天气事件的变化趋势。结果表明：1957-2005年河南省暴雨日数、极端降水事件和严重干燥事件发生频率都在增加,但其线性趋势并不显著;暴雨和极端降水的变化趋势呈明显的南北差异;异常高温事件增加而异常低温事件减少,暖冬的趋势比较显著;高温日数和低温日数都显著减少,其变化趋势的空间分布具有很好的一致性。     

BCC_CSM1．1全球模式中极端气温变化的归因分析

利用1°×1°的ERA-Interim再分析资料和气候系统模式BCC_CSM1．1历史模拟（Historical）试验及气候归因试验（只考虑温室气体变化Historica1GHG试验和只考虑自然强迫变化的Historica1Nat试验）的结果,考查了BCC_CSM1．1模式对中国和全球陆地地区极端气温指数的模拟能力,并在此基础上分析了温室气体和自然强迫这两种外强迫的变化对极端气温变化的贡献。结果表明：BCC_CSM1．1可以对中国乃至全球陆地区域极端气温指数的气候态及其变化趋势进行合理模拟,主要偏差表现为模式对极端低温指数模拟值偏低,而对极端高温指数模拟值偏高。对于20世纪末极端气温指数的变化,只有考虑了温室气体变化的外强迫时,模式可以再现再分析资料中极端气温的变化趋势。这表明温室气体的变化对极端气温的变化有着关键性的影响。     

Trends of Extreme Temperatures in Europe and China Based on Daily Observations

Ten of the longest daily temperature series presently available in Europe and China are analysed, focusing on changes in extremes since pre-industrial times. We consider extremes in both a relative (with respect to the time of year) and an absolute sense. To distinguish changes in extremes from changes affecting the main part of the temperature distribution, a percentile smaller than 10 (and/or larger than 90) is recommended for defining an extreme. Three periods of changes in temperature extremes are identified: decreasing warm extremes before the late 19th century; decreasing cold extremes since then and increasing warm extremes since the 1960s. The early decreases and recent increases of warm extremes dominate in summer, while the decrease of cold extremes for winter persists throughout the whole period. There were more frequent combined (warm plus cold) extremes during the 18th century and the recent warming period since 1961 at most of the ten stations, especially for summer. Since 1961, the annual frequency of cold extremes has decreased by about 7% per century with warm extremes increasing by more than 10% per century but with large spatial variability. Compared with recent annual mean warming of about 2–3 ° C/century, the coldest winter temperatures have increased atthree times this rate, causing a reduced within-season range and therefore less variable winters. Changes in the warmest summer temperatures since 1961 exhibit large spatial variability, with rates of change ranging from slightly negative to 6 ° C/century. More extensive station observations since 1961 indicate that the single site results are representative of larger regions, implying also that the extremes studied are the result of large-scale changes. Recent circulation changes in daily gridded pressure data, used as an indicator of wind speed changes, support the results by explaining some of the trends.     

Changes in temperature extremes based on a 6-hourly dataset in China from 1961–2005

Changes in Chinese temperature extremes are presented based on a six-hourly surface air temperature dataset for the period 1961--2005. These temperature series are manually observed at 0200, 0800, 1400, and 2000 Beijing Time (LST), and percentile based extreme indices of these time series are chosen for analysis. Although there is a difference in time among the different time zones across China, as more than 80% of the stations are located in two adjacent time zones, these indices for all the stations are called warm (cold) nights (0200 LST), warm (cold) mornings (0800 LST), warm (cold) days (1400 LST), and warm (cold) evenings (2000 LST), respectively for convenience. The frequency of the annual warm extremes has generally increased, while the frequency of the annual cold extremes has decreased, and significant changes are mainly observed in northern China, the Tibetan Plateau, and the southernmost part of China. Based on the national average, annual warm (cold) nights increase (decrease) at a rate of 5.66 (-5.92) d (10 yr)^-1, annual warm (cold) days increase (decrease) at a rate of 3.97 (-2.98) d (10 yr)^-1, and the trends for the annual warm (cold) mornings and evenings are 4.35 (-4.96) and 5.95 (-4.35) d (10 yr)^-1, respectively. For China as a whole, the increasing rates for the occurrence of seasonal warm extremes are larger in the nighttime (0200, 2000 LST) than these in the daytime (0800, 1400 LST), the maximal increase occurs at 2000 LST except in the summer and the minimal increase occurs at 1400 LST except in autumn; the maximal decrease in the occurrence of seasonal cold extremes occurs at 0200 LST and the minimal decrease occurs at 1400 LST.     

两类ENSO对中国北方冬季平均气温和极端低温的不同影响

利用1961-2012年观测、再分析资料以及全球大气环流模式数值试验,探讨了中国北方冬季平均气温对于不同类型（即东部型和中部型）ENSO事件的气候响应,并分析了不同类型ENSO对极端低温事件的可能影响,重点关注了北大西洋涛动（NAO）在其中的桥梁作用。结果表明,ENSO信号能通过调制北大西洋地区的大气环流改变欧亚中高纬度地区的纬向温度平流输送和西伯利亚高压的强度,进而影响中国北方冬季气温,由于不同类型ENSO事件海温分布的差异,这种影响具有明显的非线性特征。在两类厄尔尼诺和东部型拉尼娜事件冬季,北大西洋涛动均呈现负位相,不利于北大西洋的暖湿空气向欧亚大陆输送,西伯利亚高压偏强,因而中国北方地区较气候态偏冷。中部型厄尔尼诺和东部型拉尼娜事件冬季气温负异常的显著区域分别位于东北大范围地区、内蒙古河套附近;东部型厄尔尼诺事件冬季显著的冷异常信号仅局限于黑龙江北部与大兴安岭地区;而中部型拉尼娜事件冬季虽伴随北大西洋涛动正位相,但其空间结构向西偏移,对下游中国北方地区气温的直接影响并不显著,可能受局地信号干扰较大。数值试验再现了北大西洋涛动以及中国北方冬季气温对不同类型ENSO的响应,进一步佐证了上述结论。此外,两类厄尔尼诺事件冬季中国东北地区日平均气温容易偏低,极端低温事件的发生频次增多;而两类拉尼娜事件对极端低温的影响较弱。      

Patterns of Multiscale Temperature Variability over the Eastern and Central Tibetan Plateau During 1960-2008

Climate variability is an important inherent characteristic of climate and it varies on all timescales. Through examination of temperature variability on multiple temporal scales at 63 stations over the eastern and central Tibetan Plateau （TP） during 1960-2008, we find decreasing trends in daily and intraannual temperature, especially in cold seasons （autumn and winter）. These changes are more sensitive than those in the eastern China coastal region at the same latitude and indicate an asymmetric change of temperature, with hourly, daily, and monthly trends in cold periods stronger than those in warm periods during the recent years. The variation of interannual temperature is complex, showing an increasing trend in autumn and winter and decreasing trend in spring and summer, which is similar to those in the northern polar region. The changes of multiscale variability of temperature are mainly related to changes of atmospheric water vapor, cloudiness, anthropogenic aerosols, monsoon-driven climate, and some local factors. To find the influences of local conditions on temperature variability, we analyze the effects of altitude, topography, and urbanization. The results show that elevation is strongly and positively related to diurnal temperature range （DTR） and slightly positively related to interannual temperature variability （IVT）, but intraannual temperature variability shows no clear elevation dependency. Topography and urbanization also play important roles in multiscale temperature variability. Finally, strong relationships are observed between temperature variability on each scale and different extreme indices.     

A Simulation Study on the Extreme Temperature Events of the 20th Century by Using the BCC_AGCM

Extreme temperature events are simulated by using the Beijing Climate Center Atmospheric General Circulation Model (BCC AGCM) in this paper. The model has been run for 136 yr with the observed external forcing data including solar insolation, greenhouse gases, and monthly sea surface temperature (SST). The daily maximum and minimum temperatures are simulated by the model, and 16 indices representing various extreme temperature events are calculated based on these two variables. The results show that the maximum of daily maximum temperature (TXX), maximum of daily minimum (TNX), minimum of daily maximum (TXN), minimum of daily minimum (TNN), warm days (TX90p), warm nights (TN90p), summer days (SU25), tropical nights (TR20), and warm spell duration index (WSDI) have increasing trends during the 20th century in most regions of the world, while the cold days (TX10p), cold nights (TN10p), and cold spell duration index (CSDI) have decreasing trends. The probability density function (PDF) of warm/cold days/nights for three periods of 1881-1950, 1951- 1978, and 1979-2003 is examined. It is found that before 1950, the cold day/night has the largest probability, while for the period of 1979-2003, it has the smallest probability. In contrast to the decreasing trend of cold days/nights, the PDF of warm days/nights exhibits an opposite trend. In addition, the frost days (FD) and ice days (ID) have decreasing trends, the growing season has lengthened, and the diurnal temperature range is getting smaller during the 20th century. A comparison of the above extreme temperature indices between the model output and NCEP data (taken as observation) for 1948-2000 indicates that the mean values and the trends of the simulated indices are close to the observations, and overall there is a high correlation between the simulated indices and the observations. But the simulated trends of FD, ID, growing season length, and diurnal temperature range are not consistent with the observations and their correlations are low or even negative. This indicates that the model is incapable to simulate these four indices although it has captured most indices of the extreme temperature events.     

1957-2000年东北地区春季极端气温变化及其与北极涛动的关系

利用东北地区32个测站1957-2000年逐日气温资料,分析了东北春季极端气温指数的变化特征及其与同期和前期北极涛动指数的关系。结果表明：春季日气温距平值基本上是由高纬向低纬、由东向西增加;44 a来日气温距平强度变化呈现正趋势,春季的冷日和冷夜呈减少趋势,暖日和暖夜呈增加趋势。东北春季气温与春季北极涛动（Arctic Oscillation, AO）在年际时间尺度上具有很强的正相关性,AO和极端气温指数也存在着相同的变化周期和突变时间。     

冬季北大西洋涛动与中国北方极端低温相关性的年代际变化

本文基于中国地面气温日值网格数据集（V2.0）,采用滑动相关和相关分析等方法,揭示了冬季北大西洋涛动（NAO）对中国北方极端低温影响的事实,进一步证实了东北后冬（1、2月）冷日（夜）与同期NAO相关性的年代际变化。研究发现:在20世纪80年代中期前,东北后冬冷日（夜）频发,与NAO的相关性较好,而在80年代中期后东北后冬冷日（夜）少发,与NAO的相关性减弱。其中,1月在1969~1988阶段,东北冷日（夜）与NAO的相关性最好,相关区域显著,相关系数可达-0.68（-0.66）,而在1989~2009阶段二者相关性最弱,相关区域不显著。进一步分析发现,在不同年代际背景下,NAO引起的大气环流异常是导致东北1月冷日（夜）与1月NAO相关性年代际变化的重要原因。相关性较好的年代,NAO引起的环流异常有利于冷涡等天气系统维持在贝加尔湖到东北一带,使东北地区气温偏低,冷日（夜）频发;相关性较弱的年代,不利于冷空气南下,使东北地区气温偏高,冷日（夜）少发。     

区域气候模式CWRF对我国极端温度时空变化的模拟评估

基于中国均一化气温数据集CN05.1的观测数据,结合暖昼指数（TX90）、冷昼指数（TX10）、暖夜指数（TN90）、冷夜指数（TN10）、暖日持续指数（WSDI）和冷日持续指数（CSDI）6个极端温度指数,从气候平均、概率分布、年际变率和年际趋势方面,系统评估区域气候模式（Climate–Weather Research and Forecasting model, CWRF）对1980～2015年间我国极端温度指数区域分布和年际变化的模拟能力,为改进并利用模式研究我国未来区域极端温度的预测提供科学依据。结果显示:观测的冷暖指数在北方的年际变率幅度高于南方,其中暖指数在我国大部分地区为增暖趋势,冷指数在北方地区的变冷趋势显著,尤其暖夜增暖、冷夜变冷,极端暖事件（WSDI）的持续性比冷事件（CSDI）显著。CWRF模式较好再现了极端温度指数的年均分布和年际变化趋势特征,尤其对暖日和冷日持续指数的模拟优势显著,但仍存在系统性的区域偏差,如低估暖昼和冷夜的极值强度;对华东地区暖（冷）指数变暖（冷）的趋势存在低（高）估;尤其是低估青藏高原地区暖、冷指数的强度,并且高估其暖昼变冷、暖夜变暖的年际变化趋势。因此,该模式对华东及高原地区极端温度的强度和年际变率的模拟仍亟需改善。     

1961～2004年漠河年均温与持续极端气温频数的变化分析

利用漠河站点1961～2004年逐日平均、最高和最低气温资料计算得到的年均温、年变化和季节变化的持续暖口和冷夜频数,分析了它们的线性趋势、增量、显著性和平稳性.其中年均温升高了约1.61℃,年持续暖口频数增加了约4次,冬季持续暖日频数和夏季持续冷夜频数都呈显著增加趋势.分别对年均温和年持续频数的线性回归关系,以及年均温和季持续频数的线性回归关系进行了显著性检验.在线性回归关系显著的情况下,分别就各频数序列埘年均温的影响逐一进行显著性检验,从而揭示了年均温与符频数序列的变化关系.研究结果表明:从按年,变化的角度米分析,年均温的升高是由年持续暖日频数的增加和年持续冷夜频数的减少共同显著影响的;从按季变化的角度来分析,年均温的升高主要由春、夏季持续暖日频数的增加和春、秋季持续冷夜频数的减少共同显著影响的.