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1.
梁平  伦绪勇 《贵州气象》2001,25(5):10-11
通过对夏季风强度与黔东南汛期相当暴雨日数,夏季旱涝关系的研究,主明夏季风强度的变化与黔东南汛期相当暴雨日数及旱涝级别有很好的相关性。提出:利用夏季风强度变化的规律性,预测黔东南汛期的旱涝趋势,是短期气候预测的一个很好的依据,对短期预报中暴雨的预测具有一定的参考价值。  相似文献   

2.
以降雨量、蒸发量和前期降雨量为参数,定义了黔东南夏季干旱指数,并用该指数对黔东南的夏季干旱进行了等级划分;计算了1971~2000年夏季干旱指数,以此对黔东南夏旱的气候规律作了分析,得出了黔东南夏季干旱的时空变化规律.  相似文献   

3.
黔东南夏季干旱指数及气候规律研究   总被引:4,自引:0,他引:4  
梁平  冯晓云韦波 《广西气象》2005,26(A01):166-168
以降雨量、蒸发量和前期降雨量为参数,定义了黔东南夏季干旱指数,并用该指数对黔东南的夏季干旱进行了等级划分;计算了1971~2000年夏季干旱指数,以此对黔东南夏旱的气候规律作了分析,得出了黔东南夏季干旱的时空变化规律。  相似文献   

4.
贵州地区夏季降水特征及其预测方法   总被引:4,自引:0,他引:4  
利用贵州地区52个测站1961~2000年夏季(6~8月)降水资料,采用突变分析、小波分析等方法,对贵州夏季降水的时间变化特征进行了诊断分析,并运用均生函数对贵州夏季降水建立预测模型,进行试报和预报检验。结果表明:贵州地区近40a来夏季降水呈上升趋势,具有明显的年际变化特征;夏季降水比较明显的突变点出现在1971年和1994年(没有通过显著水平a=0.05的信度检验),其1971年后到1994年前降水为减少趋势,1994年后降水开始增多;夏季降水在年际尺度上主要存在显著的准2a、准4a和4~6a、8~10a周期振荡;均生函数对夏季降水预测效果较好,尤其对极值的预测,效果更加明显。  相似文献   

5.
用当前降水和蒸发因子以及前期降水因子定义了黔东南夏季旱涝指数,用此指数计算了黔东南1971~2000年的夏旱指数,同时对各年的夏季旱涝进行了定级,检验证明,此指标对黔东南夏季旱涝等级的划分比日常业务中使用的降水百分率对黔东南夏季旱涝的等级划分更符合实际情况。讨论了黔东南夏季干旱的时空变化特征,得出结论:①夏季干旱主要出现在7~8月,6月干旱较轻,7月重旱出现的概率最大,8月次之;②20世纪70年代干旱主要出现在7月,80年代整个夏季均少雨干旱,以中等以上干旱为主,90年代降水较多,没有重旱出现;③黔东南州的夏季干旱,东南部出现的概率最大,西北部最小;但7月干旱多出现在东北部地区,8月的干旱西北部和东南部多于西南部和东北部。  相似文献   

6.
利用1961—2009年黔东南地区16个地面气象站的逐日降水资料,分别统计了四季最大连续无雨日数(日降水量<0.1mm)的时间序列,采用正交函数分解、Mann-Kendall突变检验和线性倾向估计等方法,分析了各季节极端干期日数的空间结构和时间演变规律。结果表明,黔东南地区各季节极端干期日数的时空分布存在较大差异,极端干期日数最多出现在秋季,最少是春季;夏季黔东南北部的极端干期日数多,春、秋季南部多,冬季南、北部多,西部四季相对较少,年内非均匀性特征显著。在大尺度天气系统控制下,四季极端干期日数事件的步调基本一致,黔东南中东部发生异常的频次较高,不同季节的天气系统对黔东南各区域的影响具有明显的局地性和阶段性;近49年中各季节出现极端干期日数典型多的年份比典型少的年份多;进入21世纪以后,春、秋、冬季极端干期日数均呈显著的增多趋势,而夏季变化的特征不明显。  相似文献   

7.
中国是自然灾害频发的国家,气象灾害造成的损失占自然灾害造成损失的70%。2020年夏季出现超长梅雨期,长江和淮河发生洪水;2021年夏季,华北雨季开始早,结束晚,期间发生了“21·7”河南地区特大暴雨事件。这些气象灾害都对人民生命财产造成严重损失。因此,有必要提前对气候异常进行预测,以提高国家的防灾减灾能力。2022年3月,中国科学院大气物理研究所开展汛期(6~8月)的全国汛期气候趋势预测会商会。通过综合大气所各个数值模式和统计模型的结果,在未来4~6个月全球短期气候仍处在La Ni?a事件恢复到ENSO正常状态的背景下,预计2022年汛期(6~8月),东北东部和中部、华北大部分地区、黄河中下游、东南沿海、西北地区中部、西藏大部分地区、西南地区东部和云南大部分地区降水正常略偏多,其中环渤海湾地区降水偏多2~5成,可能发生局地洪涝灾害。全国其他大部分地区降水正常略偏少,其中长江下游地区和新疆北部降水偏少2~5成。预计今年登陆台风数正常略偏多。由于未来ENSO的趋势演变具有一定的不确定性以及夏季降水受到中高纬大气环流季节内变化的影响,因此,此次汛期预测结果具有一定的不确定性。我们将根据2022年春末、夏初大气环流和海洋等因子的实际演变趋势,做进一步补充订正预测。  相似文献   

8.
根据1979~2016年春季海表温度、土壤温度以及大尺度气候指数与中亚地区夏季温度的相关关系,确定了印度洋东南部海表温度、非洲西北部土壤温度、大西洋多年代际振荡(AMO)和东亚/西俄型(EA/WR)4个春季预测因子,进而建立了中亚地区夏季温度的预测模型。春季印度洋东南部海表温度暖异常、非洲西北部土壤温度暖异常、AMO正异常与EA/WR负异常均对应夏季中亚地区500 hPa位势高度场正异常,为该地区夏季高温发生提供有利条件。预测模型留一法交叉验证产生的1979~2016年中亚地区夏季温度无(有)趋势的时间序列与观测的无(有)趋势的时间序列的相关为0.65(0.74),表明该预测模型具有良好的预测能力。研究结果有望帮助提高中亚地区夏季温度的预测技巧。  相似文献   

9.
黔东南地区近40年来气候变化研究   总被引:35,自引:4,他引:31  
池再香  白慧 《高原气象》2004,23(5):704-708
利用1961—2000年黔东南地区18个气象站的月平均气温、总云量、气压、水汽压、旬降水量、暴雨日数等资料,对黔东南地区近40年特别是近10年的气候变化作了较为全面的分析。结果表明,近40年来黔东南地区降水呈上升趋势(6.75mm/10a),气温呈下降趋势(-0.25℃/10a)。  相似文献   

10.
利用黔东南1981—2012年16个县市的干旱受灾数据,通过主成分分析和旋转主成分分析方法对黔东南农业气象干旱进行分析。结果表明:黔东南农业气象干旱在空间上表现为较高的整体一致性,州中西部与其余地区,州南部与州北部具有反向变化的特征。32 a来,黔东南干旱总体呈加重趋势,其中2010—2011年发生了极端干旱事件,中西部与其余地区因干旱导致的受灾强度反向变化特征呈微弱下降的趋势,而南北反位相变化特征越发突出。黔东南农业气候干旱可以划分为3个明显的相关区域,分别为黔东南西北部、东北部以及中南部,州东北部及中南部总体而言干旱呈加重的趋势,而州西北部干旱呈缓解趋势,其中干旱年际变率最大的是中南部。  相似文献   

11.
Using the International Comprehensive Ocean-Atmosphere Data Set(ICOADS) and ERA-Interim data, spatial distributions of air-sea temperature difference(ASTD) in the South China Sea(SCS) for the past 35 years are compared,and variations of spatial and temporal distributions of ASTD in this region are addressed using empirical orthogonal function decomposition and wavelet analysis methods. The results indicate that both ICOADS and ERA-Interim data can reflect actual distribution characteristics of ASTD in the SCS, but values of ASTD from the ERA-Interim data are smaller than those of the ICOADS data in the same region. In addition, the ASTD characteristics from the ERA-Interim data are not obvious inshore. A seesaw-type, north-south distribution of ASTD is dominant in the SCS; i.e., a positive peak in the south is associated with a negative peak in the north in November, and a negative peak in the south is accompanied by a positive peak in the north during April and May. Interannual ASTD variations in summer or autumn are decreasing. There is a seesaw-type distribution of ASTD between Beibu Bay and most of the SCS in summer, and the center of large values is in the Nansha Islands area in autumn. The ASTD in the SCS has a strong quasi-3a oscillation period in all seasons, and a quasi-11 a period in winter and spring. The ASTD is positively correlated with the Nio3.4 index in summer and autumn but negatively correlated in spring and winter.  相似文献   

12.
The spatial and temporal variations of daily maximum temperature(Tmax), daily minimum temperature(Tmin), daily maximum precipitation(Pmax) and daily maximum wind speed(WSmax) were examined in China using Mann-Kendall test and linear regression method. The results indicated that for China as a whole, Tmax, Tmin and Pmax had significant increasing trends at rates of 0.15℃ per decade, 0.45℃ per decade and 0.58 mm per decade,respectively, while WSmax had decreased significantly at 1.18 m·s~(-1) per decade during 1959—2014. In all regions of China, Tmin increased and WSmax decreased significantly. Spatially, Tmax increased significantly at most of the stations in South China(SC), northwestern North China(NC), northeastern Northeast China(NEC), eastern Northwest China(NWC) and eastern Southwest China(SWC), and the increasing trends were significant in NC, SC, NWC and SWC on the regional average. Tmin increased significantly at most of the stations in China, with notable increase in NEC, northern and southeastern NC and northwestern and eastern NWC. Pmax showed no significant trend at most of the stations in China, and on the regional average it decreased significantly in NC but increased in SC, NWC and the mid-lower Yangtze River valley(YR). WSmax decreased significantly at the vast majority of stations in China, with remarkable decrease in northern NC, northern and central YR, central and southern SC and in parts of central NEC and western NWC. With global climate change and rapidly economic development, China has become more vulnerable to climatic extremes and meteorological disasters, so more strategies of mitigation and/or adaptation of climatic extremes,such as environmentally-friendly and low-cost energy production systems and the enhancement of engineering defense measures are necessary for government and social publics.  相似文献   

13.
Various features of the atmospheric environment affect the number of migratory insects, besides their initial population. However, little is known about the impact of atmospheric low-frequency oscillation(10 to 90 days) on insect migration. A case study was conducted to ascertain the influence of low-frequency atmospheric oscillation on the immigration of brown planthopper, Nilaparvata lugens(Stl), in Hunan and Jiangxi provinces. The results showed the following:(1) The number of immigrating N. lugens from April to June of 2007 through 2016 mainly exhibited a periodic oscillation of 10 to 20 days.(2) The 10-20 d low-frequency number of immigrating N. lugens was significantly correlated with a low-frequency wind field and a geopotential height field at 850 h Pa.(3) During the peak phase of immigration, southwest or south winds served as a driving force and carried N. lugens populations northward, and when in the back of the trough and the front of the ridge, the downward airflow created a favorable condition for N. lugens to land in the study area. In conclusion, the northward migration of N. lugens was influenced by a low-frequency atmospheric circulation based on the analysis of dynamics. This study was the first research connecting atmospheric low-frequency oscillation to insect migration.  相似文献   

14.
The atmospheric and oceanic conditions before the onset of EP El Ni?o and CP El Ni?o in nearly 30 years are compared and analyzed by using 850 hPa wind, 20℃ isotherm depth, sea surface temperature and the Wheeler and Hendon index. The results are as follows: In the western equatorial Pacific, the occurrence of the anomalously strong westerly winds of the EP El Ni?o is earlier than that of the CP El Ni?o. Its intensity is far stronger than that of the CP El Ni?o. Two months before the El Ni?o, the anomaly westerly winds of the EP El Ni?o have extended to the eastern Pacific region, while the westerly wind anomaly of the CP El Ni?o can only extend to the west of the dateline three months before the El Ni?o and later stay there. Unlike the EP El Ni?o, the CP El Ni?o is always associated with easterly wind anomaly in the eastern equatorial Pacific before its onset. The thermocline depth anomaly of the EP El Ni?o can significantly move eastward and deepen. In addition, we also find that the evolution of thermocline is ahead of the development of the sea surface temperature for the EP El Ni?o. The strong MJO activity of the EP El Ni?o in the western and central Pacific is earlier than that of the CP El Ni?o. Measured by the standard deviation of the zonal wind square, the intensity of MJO activity of the EP El Ni?o is significantly greater than that of the CP El Ni?o before the onset of El Ni?o.  相似文献   

15.
正The Taal Volcano in Luzon is one of the most active and dangerous volcanoes of the Philippines. A recent eruption occurred on 12 January 2020(Fig. 1a), and this volcano is still active with the occurrence of volcanic earthquakes. The eruption has become a deep concern worldwide, not only for its damage on local society, but also for potential hazardous consequences on the Earth's climate and environment.  相似文献   

16.
Storms that occur at the Bay of Bengal (BoB) are of a bimodal pattern, which is different from that of the other sea areas. By using the NCEP, SST and JTWC data, the causes of the bimodal pattern storm activity of the BoB are diagnosed and analyzed in this paper. The result shows that the seasonal variation of general atmosphere circulation in East Asia has a regulating and controlling impact on the BoB storm activity, and the “bimodal period” of the storm activity corresponds exactly to the seasonal conversion period of atmospheric circulation. The minor wind speed of shear spring and autumn contributed to the storm, which was a crucial factor for the generation and occurrence of the “bimodal pattern” storm activity in the BoB. The analysis on sea surface temperature (SST) shows that the SSTs of all the year around in the BoB area meet the conditions required for the generation of tropical cyclones (TCs). However, the SSTs in the central area of the bay are higher than that of the surrounding areas in spring and autumn, which facilitates the occurrence of a “two-peak” storm activity pattern. The genesis potential index (GPI) quantifies and reflects the environmental conditions for the generation of the BoB storms. For GPI, the intense low-level vortex disturbance in the troposphere and high-humidity atmosphere are the sufficient conditions for storms, while large maximum wind velocity of the ground vortex radius and small vertical wind shear are the necessary conditions of storms.  相似文献   

17.
Observed daily precipitation data from the National Meteorological Observatory in Hainan province and daily data from the National Centers for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis-2 dataset from 1981 to 2014 are used to analyze the relationship between Hainan extreme heavy rainfall processes in autumn (referred to as EHRPs) and 10–30 d low-frequency circulation. Based on the key low-frequency signals and the NCEP Climate Forecast System Version 2 (CFSv2) model forecasting products, a dynamical-statistical method is established for the extended-range forecast of EHRPs. The results suggest that EHRPs have a close relationship with the 10–30 d low-frequency oscillation of 850 hPa zonal wind over Hainan Island and to its north, and that they basically occur during the trough phase of the low-frequency oscillation of zonal wind. The latitudinal propagation of the low-frequency wave train in the middle-high latitudes and the meridional propagation of the low-frequency wave train along the coast of East Asia contribute to the ‘north high (cold), south low (warm)’ pattern near Hainan Island, which results in the zonal wind over Hainan Island and to its north reaching its trough, consequently leading to EHRPs. Considering the link between low-frequency circulation and EHRPs, a low-frequency wave train index (LWTI) is defined and adopted to forecast EHRPs by using NCEP CFSv2 forecasting products. EHRPs are predicted to occur during peak phases of LWTI with value larger than 1 for three or more consecutive forecast days. Hindcast experiments for EHRPs in 2015–2016 indicate that EHRPs can be predicted 8–24 d in advance, with an average period of validity of 16.7 d.  相似文献   

18.
Based on the measurements obtained at 64 national meteorological stations in the Beijing–Tianjin–Hebei (BTH) region between 1970 and 2013, the potential evapotranspiration (ET0) in this region was estimated using the Penman–Monteith equation and its sensitivity to maximum temperature (Tmax), minimum temperature (Tmin), wind speed (Vw), net radiation (Rn) and water vapor pressure (Pwv) was analyzed, respectively. The results are shown as follows. (1) The climatic elements in the BTH region underwent significant changes in the study period. Vw and Rn decreased significantly, whereas Tmin, Tmax and Pwv increased considerably. (2) In the BTH region, ET0 also exhibited a significant decreasing trend, and the sensitivity of ET0 to the climatic elements exhibited seasonal characteristics. Of all the climatic elements, ET0 was most sensitive to Pwv in the fall and winter and Rn in the spring and summer. On the annual scale, ET0 was most sensitive to Pwv, followed by Rn, Vw, Tmax and Tmin. In addition, the sensitivity coefficient of ET0 with respect to Pwv had a negative value for all the areas, indicating that increases in Pwv can prevent ET0 from increasing. (3) The sensitivity of ET0 to Tmin and Tmax was significantly lower than its sensitivity to other climatic elements. However, increases in temperature can lead to changes in Pwv and Rn. The temperature should be considered the key intrinsic climatic element that has caused the "evaporation paradox" phenomenon in the BTH region.  相似文献   

19.
正While China’s Air Pollution Prevention and Control Action Plan on particulate matter since 2013 has reduced sulfate significantly, aerosol ammonium nitrate remains high in East China. As the high nitrate abundances are strongly linked with ammonia, reducing ammonia emissions is becoming increasingly important to improve the air quality of China. Although satellite data provide evidence of substantial increases in atmospheric ammonia concentrations over major agricultural regions, long-term surface observation of ammonia concentrations are sparse. In addition, there is still no consensus on  相似文献   

20.
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