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为满足飞机增雨作业实时性的需要,方便快捷地分析各种监测资料,建立了集省域常规天气报告、卫星云图、雷达图像、航危天气报告于一体的飞机增雨天气资料显示分析软件,实现了网上GMS-5云图的实时监测、动画、云层作业条件分析等,业务应用取得了较好的效果。 相似文献
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本文利用FY-4A卫星对2019年5月四川盆地实施的一次人工增雨减轻空气污染作业条件进行分析,综合分析增雨可播性,判别增雨潜力区和作业高度,为开展人工增雨作业提供可靠的依据,然后利用多普勒天气雷达、地面气象台站、空气质量指数、颗粒物污染物浓度等多种数据资料分析人工增雨作业前后作业云体宏观情况和空气质量、雨量的变化,对其作业效果进行分析。结果表明:(1)5月12日四川盆地西部有云系发展,作业前6小时作业区附近主要为积层混合云,存在大量过冷水,红色对流泡云顶温度约为-30℃,粒子有效半径为15~40μm,作业前0~3小时作业区位于深厚对流降水云边缘,云顶温度约为-40℃,粒子有效半径为7~40μm,作业区南部有大片积层混合云,提供大量过冷水;(2)作业区内,高低空配合的环流场形成了较有利的降水形势,作业云体过冷水丰沛,增雨潜力较好,符合人工播撒催化剂条件,适宜开展人工增雨作业;(3)经过人工增雨作业后,作业区雨量峰值降雨时间延长,总体雨量增加,作业区的AQI从82降到29,PM10从94μg/m3下降到28μg/m3,PM2.5从49μg/m3降到17μg/m3,而3个对比区没有实施人工增雨作业,空气质量指数持续超标数小时。 相似文献
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《内蒙古气象》2022,(1):44-48
文章利用常规观测资料、NCEP再分析资料、自动气象站观测资料和锡林浩特多普勒天气雷达产品等分析了2020年6月21—22日锡林郭勒盟一次明显降雨天气过程,以及飞机人工增雨作业效果。结果表明:(1)在天气形势和作业条件适宜的情况下,对系统云系播撒催化剂,促使大量的人工冰核迅速形成冰晶,使云中过冷水转化为降水。(2)飞机人工增雨作业后,作业区及下风方向的降水回波强度稳定或加强,回波面积明显扩大。(3)自动气象站雨量观测资料分析得出,飞机人工增雨作业使得飞机作业区及下风方向区域的降水范围及降水量均增大,增雨效果能维持3~6 h。(4)在有利的天气背景下,K指数为22~28℃,SI指数为0~2℃,比湿为8~12 k·kg-1,云顶温度在-15~-50℃,飞机人工增雨作业时间段内,云体较厚,含有丰富的过冷水,这种低能量高湿度且有较厚云体,具备了好的增雨潜势,适于开展飞机人工增雨催化作业。 相似文献
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本文利用FY-2C静止卫星资料,以2013年5月8日四川盆地一次飞机增雨作业为例,反演了云顶温度、云顶高度、云粒子有效半径、液水路径、云光学厚度等云物理量参数,结合自动气象站资料和探空资料等,对此次飞机增雨效果进行了物理检验。结果表明:作业前,云顶温度-13℃,云粒子有效半径10μm,云体较厚,含有丰富的过冷水,具有较好增雨潜力;作业后,作业区云层增厚,云顶温度降低,云粒子有效半径增加至25μm,云顶冰晶化,冰水转化过程加快,产生了较多的降水,降水量增幅明显;作业后,对比区降水不充分,各云物理参数无明显变化。 相似文献
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采用河南省2013—2017年飞机增雨作业资料,利用CA-FCM方法进行增雨效果检验,以探究CA-FCM方法在河南区域飞机增雨效果检验中的合理性及适用性,并分析相对增雨率与季节、检验物理量、垂直积分液态含水量之间的关系。结果表明:CA-FCM方法应用于河南省飞机增雨效果检验,能够获得定量而合理的增雨效果。多数作业相对增雨率0%—40%,少数作业存在减雨效果。研究中春季、夏季、秋季相对增雨率分别为20.8%、22.4%、-22.6%。春季、夏季飞机增雨效果明显优于秋季,一半的秋季增雨作业呈减雨效果,这可能与作业云层可播性条件有较大关系,春季、夏季云层可播性条件优于秋季。显著性检验表明,65%的作业增雨效果显著。增雨作业区域的垂直积分液态含水量越大,相对增雨率显著增加。具有“作业前回波30—50 dBz”、“作业云层尺度较大”条件的作业,易产生一定增雨效果;作业云层回波20—30 dBz,易产生减雨效果;回波强度及面积的维持或增强对增雨效果有明显贡献。 相似文献
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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
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Fei LIU Chen XING Jinbao LI Bin WANG Jing CHAI Chaochao GAO Gang HUANG Jian LIU Deliang CHEN 《大气科学进展》2020,37(7):663-670
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
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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
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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
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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
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Yuepeng PAN Mengna GU Yuexin HE Dianming WU Chunyan LIU Linlin SONG Shili TIAN Xuemei Lü Yang SUN Tao SONG Wendell W. WALTERS Xuejun LIU Nicholas A. MARTIN Qianqian ZHANG Yunting FANG Valerio FERRACCI Yuesi WANG 《大气科学进展》2020,37(9):933-938
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
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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 Nio3.4 index in summer and autumn but negatively correlated in spring and winter. 相似文献
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Analysis of Atmospheric Boundary Layer Height Characteristics over the Arctic Ocean Using the Aircraft and GPS Soundings 下载免费PDF全文
正ERRATUM to: Atmospheric and Oceanic Science Letters, 4(2011), 124-130 On page 126 of the printed edition (Issue 2, Volume 4), Fig. 2 was a wrong figure because the contact author made mistake giving the wrong one. The corrected edition has been updated on our website. The editorial office is sincerely sorry for any 相似文献
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《大气科学进展》2014,(6)
正AN Junling;see LI Ying et al.;(5),1221—1232AN Junling;see QU Yu et al.;(4),787-800AN Junling;see WANG Feng et al.;(6),1331-1342Ania POLOMSKA-HARLICK;see Jieshun ZHU et al.;(4),743-754Baek-Min KIM;see Seong-Joong KIM et al.;(4),863-878BAI Tao;see LI Gang et al.;(1),66-84BAO Qing;see YANG Jing et al.;(5),1147—1156BEI Naifang; 相似文献