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1.
Characteristics of the Regional Meteorological Drought Events in Southwest China During 1960–2010 
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下载免费PDF全文 LI Yunjie REN Fumin LI Yiping WANG Pengling YAN Hongming 《Acta Meteorologica Sinica》2014,28(3):381-392
An objective identification technique for regional extreme events(OITREE) and the daily compositedrought index(CI) at 101 stations in Southwest China(including Sichuan, Yunnan, Guizhou, and Chongqing)are used to detect regional meteorological drought events between 1960 and 2010. Values of the parameters of the OITREE method are determined. A total of 87 drought events are identified, including 9 extreme events. The 2009–2010 drought is the most serious in Southwest China during the past 50 years. The regional meteorological drought events during 1960–2010 generally last for 10–80 days, with the longest being 231days. Droughts are more common from November to next April, and less common in the remaining months.Droughts occur more often and with greater intensity in Yunnan and southern Sichuan than in other parts of Southwest China. Strong(extreme and severe) regional meteorological drought events can be divided into five types. The southern type has occurred most frequently, and Yunnan is the area most frequently stricken by extreme and severe drought events. The regional meteorological drought events in Southwest China have increased in both frequency and intensity over the study period, and the main reason appears to be a significant decrease in precipitation over this region, but a simultaneous increase in temperature also contributes. 相似文献
2.
Changes of Precipitation Intensity Spectra in Different Regions of Mainland China During 1961-2006 下载免费PDF全文
下载免费PDF全文 JIANG Zhihong SHEN Yuchen MA Tingting ZHAI Panmao FANG Sida 《Acta Meteorologica Sinica》2014,28(6):1085-1098
The spectral characteristics of precipitation intensity during warm and cold years are compared in six regions of China based on precipitation data at 404 meteorological stations during 1961-2006.In all of the studied regions except North China,with the increasing temperature,a decreasing trend is observed in light precipitation and the number of light precipitation days,while an increasing trend appears in heavy precipitation and the heavy precipitation days.Although changes in precipitation days in North China are similar to the changes in the other five regions,heavy precipitation decreases with the increasing temperature in this region.These results indicate that in most parts of China,the amount of precipitation and number of precipitation days have shifted towards heavy precipitation under the background of a warming climate;however,the responses of precipitation distributions to global warming differ from place to place.The number of light precipitation days decreases in the warm and humid regions of China(Jianghuai region,South China,and Southwest China),while the increasing amplitude of heavy precipitation and the number of heavy precipitation days are greater in the warm and humid regions of China than that in the northern regions(North China,Northwest China,and Northeast China).In addition,changes are much more obvious in winter than in summer,indicating that the changes in the precipitation frequency are more affected by the increasing temperature during winter than summer.The shape and scale parameters of the Γ distribution of daily precipitation at most stations of China have increased under the background of global warming.The scale parameter changes are smaller than the shape parameter changes in all regions except Northwest China.This suggests that daily precipitation shifts toward heavy precipitation in China under the warming climate.The number of extreme precipitation events increases slightly,indicating that changes in the Γ distribution fitting parameters reflect changes in the regional precipitation distribution structure. 相似文献
3.
A climatology of extratropical cyclones (ECs) over East Asia (20 -75 N, 60 -160 E) is analyzed by applying an improved objective detection and tracking algorithm to the 4-time daily sea level pressure fields from the European Centre for Medium-range Weather Forecasts (ECMWF) reanalysis data. A total of 12914 EC processes for the period of 1958-2001 are identified, with an EC database integrated and EC activities reanalyzed using the objective algorithm. The results reveal that there are three major cyclogenesis regions: West Siberian Plain, Mongolia (to the south of Lake Baikal), and the coastal region of East China; whereas significant cyclolysis regions are observed in Siberia north of 60 N, Northeast China, and Okhotsk Sea-Northwest Pacific. It is found that the EC lifetime is largely 1-7 days while winter ECs have the shortest lifespan. The ECs are the weakest in summer among the four seasons. Strong ECs often appear in West Siberia, Northeast China, and Okhotsk Sea-Northwest Pacific. Statistical analysis based on k-means clustering has identified 6 dominating trajectories in the area south of 55 N and east of 80 E, among which 4 tracks have important impacts on weather/climate in China. ECs occurring in spring (summer) tend to travel the longest (shortest). They move the fastest in winter, and the slowest in summer. In winter, cyclones move fast in Northeast China, some areas of the Yangtze-Huaihe River region, and the south of Japan, with speed greater than 15 m s 1 . Explosively-deepening cyclones are found to occur frequently along the east coast of China, Japan, and Northwest Pacific, but very few storms occur over the inland area. Bombs prefer to occur in winter, spring, and autumn. Their annual number and intensity in 1990 and 1992 in East Asia (EA) are smaller and weaker than their counterparts in North America. 相似文献
4.
Based on analysis of historical tornado observation data provided by the primary network of national weather stations in China for the period from 1960 to 2009,it is found that most tornadoes in China(85%)occurred over plains.Specifically,large numbers of tornado occurrences are found in the Northeast Plain,the North China Plain,the middle-lower Yangtze Plain,and the Pearl River Delta Plain.A flat underlying surface is conducive to tornado occurrence,while the latitudal variation of tornado occurrence in China is not so obvious.Tornadoes mainly occur in summer,and the highest frequency is in July.Note that the beginning and the time span of tornado outbreaks are different in North and South China.Tornadoes occur during May-September in South China(south of 25°N),June-September in Northeast China(north of 40°N),July-September in the middle-lower Yangtze Plain,and July-August in North China(between25°and 40°N).More than 80%of total tornadoes occurred during the above periods for the specific regions.The 1960s and 1970s have seen about twice the average number of tornadoes(7.5 times per year)compared to the mean for 1960-2009.The most frequent occurrence of tornado was in the early and mid 1960s;there were large fluctuations in the 1970s;and the number of tornadoes in the 1980s approached the 50-yr average.Tornado occurrences gradually decreased in the late 1980s,and an abrupt change with dramatic decrease occurred in 1994.The decrease in the tornado occurrence frequency is consistent with the simultaneous climatic change in the meteorological elements that are favorable for tornado formation.Tornado formation requires large vertical wind shear and sufficient atmospheric moisture content near the ground.Changes in the vertical wind shear at both 0-1 and 0-6 km appear to be one important factor that results in the decrease in tornado formation.The changing tendency of relative humidity also has contributed to the decrease in tornado formation in China. 相似文献
5.
Based on the number of foggy days in Nanjing in December from 1980 to 2011, we analyzed the surface temperature and atmospheric circulation characteristics of foggy years and less-foggy years. Positive anomalies of the Arctic Oscillation (AO) were found to weaken the East Asian trough, which is not conducive to the southward migration of cold air. Simultaneously, this atmospheric condition favors stability as a result of a high-pressure anomaly from the middle Yangtze River Delta region. A portion of La Ni?a events increases the amount of water vapor in the South China Sea region, so this phenomenon could provide the water vapor condition required for foggy days in Nanjing. Based on the data in December 2007, which contained the greatest number of foggy days for the years studied, the source of fog vapor in Nanjing was primarily from southern China and southwest Taiwan Island based on a synoptic scale study. The water vapor in southern China and in the southwestern flow increased, and after a period of 2-3 days, the humidity in Nanjing increased. Simultaneously, the water vapor from the southwestern of Taiwan Island was directly transported to Nanjing by the southerly wind. Therefore, these two areas are the most important sources of water vapor that results in heavy fog in Nanjing. Using the bivariate Empirical Orthogonal Function (EOF) mode on the surface temperature and precipitable water vapor, the first mode was found to reflect the seasonal variation from early winter to late winter, which reduced the surface temperature on a large scale. The second mode was found to reflect a large-scale, northward, warm and humid airflow that was accompanied by the enhancement of the subtropical high, particularly between December 15-21, which is primarily responsible for the consecutive foggy days in Nanjing. 相似文献
6.
Based on Hadley Center monthly global SST, 1960-2009 NCEP/NCAR reanalysis data and observation rainfall data over 160 stations across China, the combined effect of Indian Ocean Dipole （IOD） and Pacific SSTA （ENSO） on winter rainfall in China and their different roles are investigated in the work. The study focuses on the differences among the winter precipitation pattern during the years with Indian Ocean Dipole （IOD） only, ENSO only, and IOD and ENSO concurrence. It is shown that although the occurrences of the sea surface temperature anomalies of IOD and ENSO are of a high degree of synergy, their impacts on the winter precipitation are not the same. In the year with positive phase of IOD, the winter rainfall will be more than normal in Southwest China （except western Yunnan）, North China and Northeast China while it will be less in Yangtze River and Huaihe River Basins. The result is contrary during the year with negative phase of IOD. However, the impact of IOD positive phase on winter precipitation is more significant than that of the negative phase. When the IOD appears along with ENSO, the ENSO signal will enhance the influence of IOD on winter precipitation of Southwest China （except western Yunnan）, Inner Mongolia and Northeast China. In addition, this paper makes a preliminary analysis of the circulation causes of the relationship between IOD and the winter rainfall in China. 相似文献
7.
Using the composite field observational data collected in the area south of the Nanling Mts. and numerical modeling, the seasonal features of dense fog and visibility, fog drop spectrum and physical concept of fog forming have been analyzed. The occurring frequency of low visibility（≤200 m） is very high with a mean of 24.7%, a maximum of 41.8% from the end of autumn to winter and next spring. The fog processes that occur in the area south of the Nanling Mts. in spring and winter result from the interactions of complicated micro-physical processes, the local terrain, water vapor transportation and the influencing weather system. The fog processes are arisen from advection or windward slope, which is much different from the radiation fog. Cooling condensation due to the air lifted by the local mountain plays an important role in fog formation. Windward slope of the mountain is favorable to the fog formation. Dense fog can occur at lower altitudes in the windward slope of mountain, resulting in the lower visibility. The fog is mainly of small-drop spectrum with smaller number-density than that of urban fog, and its drop spectrum has descending trend in the section of smaller diameter. The inverse relationship between fog water content and visibility is the best among several relationships of micro-variables. In addition to micro-physical processes of fog body itself, the motion of irregular climbing and crossing over hillside while the fog body is being transported by the wind are also important reasons for the fluctuation of micro-physical parameters such as fog water content. 相似文献
8.
Relationship between winter snow cover days in Northeast China and rainfall near the Yangtze River basin in the following summer 下载免费PDF全文
下载免费PDF全文 Based on observed snow and precipitation data and NCEP/NCAR reanalysis data,the relationship between the number of winter snow cover days in Northeast China and the following summer’s rainfall in the northern part of southern China is analyzed and the possible underlying mechanisms are discussed.The results indicate that a negative relationship is significant throughout the study period,especially more obvious after the 1980s.The pre-winter circulation patterns in years with more snow cover days and less summer rainfall in the south bank of the Yangtze River are almost the same.In years with more snow cover days,lower temperatures at the lower level over Northeast China are found in winter and spring.The winter monsoon is weaker and retreats later in these years than in those with fewer snow cover days.In spring of years with more snow cover days,anomalous cyclonic circulation is observed over Northeast China,and anomalous northerly wind is found in eastern China.In summer of these years,anomalous northeasterly wind at the lower level is found from the area south of the Yangtze River to the East China Sea and Yellow Sea;and with less southwesterly water vapor transport,the rainfall in the area south of the Yangtze River is less than normal,and the opposite patterns are true in years with fewer snow cover days.In recent years,the stable relationship between winter snow cover in Northeast China and summer rainfall in the Yangtze River basin can be used for summer rainfall prediction.The results are of great importance to short-term climate prediction for summer rainfall. 相似文献
9.
Cloud-to-ground(CG)lightning data and the ECMWF ERA-Interim reanalysis dataset are analyzed to gain insight into the spatiotemporal distribution and synoptic background of winter-season CG flashes between December 2010 and February 2020 in China.We identify three Winter Lightning Frequent Areas(WLAs):the southwest side of the Yunnan-Guizhou Plateau(WLA1),the east side of the Yunnan-Guizhou Plateau(WLA2),and the Poyang Lake Plain(WLA3).The CG lightning flashes most frequently occur at local midnight and have a monthly peak in February.The CG lightning in WLA1 is mostly generated in non-frontal weather;however,the lightning in WLA2 and WLA3 mostly occurs in frontal systems.The frontal circulation situation is divided into four typical types:transversal trough after high pressure,low vortex,confrontational convergence,and asymptotic convergence.In all typical weather patterns,the lightning occurs downstream of a 500 hPa trough and is accompanied by a southwesterly low-level jet.The convective parameters of winter thunderstorms differ greatly from those of summer thunderstorms.The maximum convective available potential energy(MCAPE)and K-index(KI)are more useful metrics than convective available potential energy(CAPE)and Showalter index(SI)during winter.This study further deepens the understanding of the distribution characteristics of winter CG lightning in China,which motivates further research to improve the ability of winter thunderstorm prediction. 相似文献
10.
In this paper, an Atmosphere-Vegetation Interaction Model （AVIM） is coupled to the Regional Integrated Environment Model System （RIEMS）, and a 10-year integration for China is performed using the RIEMS-AVIM. The analysis of the results of the 10-year integration shows that the characters of the spatial distributions of temperature and precipitation over China are well simulated. The patterns of simulated surface sensible and latent heat fluxes match well with the spatial climatological atlas： the values of winter surface sensible and latent heat fluxes are both lower than climatological values over the whole country. Summer surface sensible heat flux is higher than climatological values in western China and lower in eastern China, while summer surface latent heat flux is higher than climatological values in the eastern and lower in the western. Seasonal variations of simulated temperature and precipitation of RIMES-AVIM agree with those of the observed. Simulated temperature is lower than the observed in the Tibetan Plateau and Northwest China for the whole year, slightly lower in the remaining regions in winter, but consistent with the observed in summer. The simulated temperature of RIEMS-AVIM is higher in winter and lower in summer than that of RIEMS, which shows that the simulated temperature of RIEMS-AVIM is closer to the observed value. Simulated precipitation is excessive in the first half of the year, but consistent with the observed in the second half of the year. The simulated summer precipitation of RIEMS-AVIM has significant improvement compared to that of RIEMS, which is less and closer to the observed value. The interannual variations of temperature and precipitation are also fairly well simulated, with temperature simulation being superior to precipitation simulation. The interannual variation of simulated temperature is significantly correlated with the observed in Northeast China, the Transition Region, South China, and the Tibetan Plateau, but the correlation between precipitation simu 相似文献
11.
中国大陆1951—2005年雾与轻雾的长期变化 总被引：10，自引：1，他引：10
雾的记录有明确的天气指示意义。通过分析1951—2005年中国大陆743个地面气象站的资料, 对中国大陆雾、轻雾的长期变化趋势有如下认识：我国大陆雾日地理分布基本气候特征呈现东南部多西北部少的特点, 冬半年雾日数多夏半年少。各年代的差异在不同地区不尽一致。西南地区是我国雾日最多的地区,四川盆地一年有雾日20余天;华北平原和东北平原在冬春季节会出现严重的持续性雾天气。长江以南各省的轻雾日数明显多于长江以北地区,而且1980年代以后轻雾日有明显增加;西南地区是我国轻雾日最多的地区,四川盆地一年有轻雾日100余天。 相似文献
12.
1961~2005年中国大雾天气气候特征 总被引：7，自引：1，他引：6
利用1961～2005年中国541个地面台站观测的能见度和相对湿度资料,分析了中国大雾时空分布特征和趋势变化特征.结果表明:中国大部分地区冬半年大雾日数明显偏多.夏半年明显偏少.其中11月最多,6月最少.在空间分布上,中国东部降水量较多的平原和丘陵年均大雾日数较多,而内蒙古大部和中国西部大部分地区年均大雾日数较少,多在1天以下.长江中下游和黄淮地区一些省市,是大雾天气多发的地区,并且具有明显正变化趋势,年大雾天气日数呈波动增多的趋势,波动的周期大约为1.5年.1982、1987、1989～2000年和2002年是大雾日数较多的年份,而1967年则是大雾日数明显偏少的年份. 相似文献
13.
利用四川盆地20个国家级基本气象站1954-2005年的大雾和能见度等资料, 探讨了区域性浓雾的认定标准, 建立起该地区较完整的区域性浓雾日数序列, 分析了其年际、年代际变化及可能原因.结果表明:①盆地内区域性浓雾主要发生在秋冬季 (9月至次年2月), 占总数的92.8%, 这也就决定了浓雾日数序列是一个跨年度统计的序列; ②1954-1976年盆地内浓雾处于偏少的负位相, 尤以20世纪60年代为最少, 相反, 20世纪80-90年代浓雾频次高、强度大, 处于多雾的正位相, 但是近些年有明显的减弱; ③在浓雾的年际和年代际变化中, 大气中凝结核的数量 (背景大气浑浊度) 起着主导作用, 同时, 干湿状况是决定浓雾年代际变化另一主要原因, 局地气候变暖对浓雾的影响具有不确定性; ④90年代以后盆地内浓雾的减弱是3个因子共同作用的结果. 相似文献
14.
15.
商丘雾变化的气候特征及天气分型 总被引：1，自引：1，他引：0
依据商丘市8个站1961~2004年雾资料,分析了大雾天气的分布和气候变化特征。结果表明:商丘市雾的地理分布是西部睢县至宁陵一带为多雾区,南部柘城至夏邑一带为少雾区。宁陵出现大雾最多,睢县次之,柘城雾日最少。年际变化总体呈上升趋势。月际变化呈“V”型特征,秋冬季雾最多,夏季最少。雾的日变化一般在下半夜到清晨日出前后形成,05:00~06:00最易生成大雾,雾消时间一般在06:00~12:00,日出后07:00~08:00雾最容易消散。最长连雾日一般出现在11至次年1月,而1月出现最长连雾日的次数最多。雾的持续时间3 h以下的短雾最多,12~24 h的最少,没有超过24 h的长雾,连雾时间最长为23.3 h。年最多雾日,宁陵最多为120 d,柘城最少只有32 d,其余各站在40~77 d之间。商丘市雾发生时的地面天气形势主要有大陆高压型、冷锋前暖区型、均压场型和(低压)倒槽型。 相似文献
16.
利用四川省1981—2013年雾、轻雾、吹雪、雪暴、烟幕、霾、沙尘暴、扬沙和浮尘9种视程障碍天气现象资料,对其发生日数、发生概率和分布特征进行统计。结果表明:(1)各天气现象发生日数排序为:轻雾>雾>浮尘>霾>烟幕>扬沙>沙尘暴>吹雪>雪暴。(2)轻雾和雾年发生日数为分别为176d/a和29d/a,日发生概率分别为48%和8%,远高出其他天气现象。(3)季节变化方面,雾和轻雾主要出现在秋季和冬季;霾、吹雪和雪暴集中出现在冬季;浮尘发生春季;扬沙多发生在冬季和春季;而沙尘暴、烟幕主要发生在春季和秋季。(4)变化趋势上轻雾基本保持平稳;烟幕呈增加趋势;而雾、霾、沙尘暴、扬沙和浮尘呈下降趋势。(5)大气层结稳定、水汽充足、风速较小、人口集中和排放量较大,易于盆地雾、轻雾、霾和烟幕的形成;不合理利用水和土地资源,北方地区沙尘天气随冷空气南下,是沙尘天气发生的重要原因;而吹雪和雪暴均发生在冬季降雪量大且风速较大的川西高原。 相似文献
17.
利用新疆蔡家湖气象站1971-2010年大雾天气现象观测资料,分析了该地区近40a大雾天气的年际、年代际、日变化特征以及大雾天气的持续时间特征。研究表明：蔡家湖近40a大雾的年日数年际变化不明显;秋季雾日增多趋势明显,春季和冬季雾日呈减少的趋势;大雾主要出现在冬季,其次为秋季;一日中大雾主要发生在02-08时,其次为8-14时;大雾持续时间大多在3h之内;40a雾的最长持续时间为46．88h,出现在2010年11月;各月平均最长持续时间为14．49h,也出现在11月;最长持续时间季节分布呈秋末和冬季较长,夏季较短;大多月份雾的最长持续时间呈增长的趋势;当出现2d及以上的高湿天气,且日平均气温在一7．O～O℃、日最高气温在一6．0～0℃时,有利于雾的持续。 相似文献
18.
南宁市大雾气候特征分析 总被引：11，自引：0，他引：11
利用南宁市所管辖8个站1965-2002年的观测资料，分析了南宁市大雾天气的分布情况和气候变化特征。结果表明：南宁市大雾的平均季节分布为冬季最多，夏季最少。各月大雾总日数出现频率呈双峰型，多项式回归分析结果表明大雾日数的年际变化呈逐渐减少趋势。 相似文献
19.
近50年西南地区秋雨监测指标的建立及成因分析 总被引：2，自引：0，他引：2
利用西南地区四川、重庆、云南和贵州秋季降水量和日照时数资料,对西南地区秋雨极端天气气候事件的监测指标进行了探讨,最终定义连续5天以上日降水量大于等于0.1 mm,且日照时数小于等于0.1h的天气过程为1次秋雨事件.以此指标得出西南秋雨事件主要发生在四川盆地中南部、重庆西部、云南东北部和贵州北部等地区,秋雨最强中心平均每年发生华西秋雨事件可达1.6次以上,年平均秋雨日数大于11天.近50年西南秋雨强度呈波动下降趋势.结合NCEP/NCAR同期的位势高度场、水汽场以及风场资料对西南秋雨的成因分析表明：在秋雨强年,500 hPa高度场上极区气压偏高,中纬地区气压偏低,西风环流较弱,副高脊线易偏北,印缅槽较深.850hPa高度场上在西南秋雨较强的区域有一个明显的水汽汇,在风场上也有较强的来自孟加拉湾和印度洋水汽输送.垂直经圈环流和纬圈环流有明显的上升运动与之配置. 相似文献
20.
利用1951～2003年辽宁12个代表站的雾资料,分析了雾的时空分布特征及形成条件。结果表明:辽宁年平均雾日地域分布呈现两高三低的形势。雾日的年际变化曲线较平稳,雾日最多的年份和最少的年份相差17d。沈阳与大连雾日变化相反,大连呈下降趋势,沈阳则在平稳中略有上升。辽宁大雾每个月都可形成,但沿海地区和内陆又有所差异,沿海地区主要出现在5～8月,而内陆地区主要出现在8～11月。雾日的天气形势可分为5～7种类型,其中以倒槽型、锋面气旋型、地形槽型、冷高压前部型最为典型。 相似文献