承德地区罕见暴雪天气过程的湿位涡分析

文章应用湿位涡理论及NCEP再分析资料(1°×1°),对2003年3月19—21日发生在承德地区罕见暴雪过程进行了诊断分析。结果表明:暴雪产生在θse陡立密集区附近;当700h Pa,MPV10,同时MPV2O时,暴雪易发生;密集的极值带状分布与降水带吻合。     

河北北部一次区域性暴雪过程的湿位涡分析

应用湿位涡理论及NCEP再分析资料(水平分辨率1°×1°),对2007年3月3—4日河北省北部出现的罕见区域性暴雪过程进行诊断分析。结果表明:500 hPa西来槽和地面气旋是造成大范围暴雪的主要天气系统。暴雪发生在700 hPa湿位涡正压项MPV1正值区和湿位涡斜压项MPV2负值区中。由于等θse线变得陡立密集,大气对流不稳定能量释放,MPV2绝对值增大,大气湿斜压性增强,导致下滑倾斜涡度发展,是形成此次暴雪的重要原因。湿位涡对暴雪预报有着很好的指示作用。     

三场暴雨中湿位涡的中尺度分析

利用中尺度数值预报模式 MM5v3.6,对发生在山东境内的三场不同影响系统的暴雨天气过程进行了数值模拟,并应用湿位涡理论,对这三场暴雨过程进行了诊断分析.结果表明这三场暴雨都产生在θse 陡峭密集区附近,θse 面的陡立易导致湿斜压涡度的发展,有利于上升运动的显著增长;暴雨的发展与湿位涡有很好的联系,暴雨主要出现在 850 hPa 的 MPV1 负值区和MPV2 正值区等值线密集区附近,降水中心位于 MPV1 负值中心前部对流不稳定区中.     

切变线暴雨过程中湿位涡的中尺度时空特征

利用中尺度数值预报模式MM5V3.6,对2005年9月19—21日发生在山东中南部的区域性切变线暴雨天气过程进行了数值模拟。并用高时空分辨率的模式输出资料,对此次暴雨过程的湿位涡场特征进行了诊断分析。结果表明:θse面陡立易导致湿斜压涡度的发展,形成θse陡峭密集区,密集区内容易发生暴雨。通过湿位涡的分析,揭示了暴雨过程中湿位涡的中尺度演变特征和空间结构,表明切变线暴雨的发生发展与湿位涡的时空演变有很好的联系。暴雨主要出现在850hPa的ζMPV1负值区和ζMPV2正值区等值线密集区附近,降水中心位于ζMPV1负值中心前部对流不稳定区中。     

湿位涡分析在河北东北部暴雨预报中的应用

应用湿位涡理论,对2008年6月25日发生在河北省东北部的1次局地暴雨天气进行了诊断分析。结果表明,暴雨产生在θse线陡立密集区附近,θse线陡立密集区附近对流稳定度较小,有利于湿斜压涡度发展,MPVI“高层正值区低层负值区垂直迭加”的配置是暴雨发生、发展的有利形势,暴雨区位于850hPa上MPVI零线附近,湿位涡在850hPa上具有MPV1〈0,MPV2〉0的特征,在夏季可以作为河北省北部预报暴雨的一个有效辅助工具。     

山东春季一次罕见暴雨天气的湿位涡分析

应用湿位涡理论,对2003年4月发生在山东境内的一次罕见暴雨过程进行了诊断分析。结果表明:这次暴雨产生在925hPa以下θe线陡立密集区附近,θe线陡立密集区附近对流稳定度较小,有利于湿斜压涡度发展;湿位涡在这次暴雨过程前期700hPa上ξMPV1<0,ξMPV2>0的演变,综合反映了暴雨区对流不稳定及斜压不稳定的增强;对流层高层高值湿位涡下传有利于位势不稳定能量的释放,使降水增幅,也是低涡东移发展为气旋的重要机制。     

一次北方春季罕见暴雨天气的湿位涡分析

应用湿位涡理论 ,对 2 0 0 3年 4月发生在山东境内的一次暴雨天气进行诊断。结果表明 :暴雨产生在θe 线陡立密集区附近 ,θe 线陡立密集区附近对流稳定度较小 ,有利于湿斜压涡度发展 ;湿位涡在 70 0hPa上具有MPV1 <0 ,MPV2 >0的特征 ,对流层高层高值湿位涡下传有利于位势不稳定能量的储存和释放 ,也是低涡东移发展为气旋的重要机制。     

影响山东的台风暴雨天气的湿位涡诊断分析

应用湿位涡理论 ,对发生在山东境内由台风和台风减弱的低压引发的两场大暴雨过程进行诊断。结果表明 :这两场暴雨都产生在θe 陡立密集区附近 ,θe 陡立密集区附近易导致湿斜压涡度发展 ;对流层中低层MPV1 <0 ,850hPa上MPV2 >0 ,综合反映了暴雨区对流不稳定和斜压不稳定的发展 ;对流层高层高值湿位涡下传 ,有利于位势不稳定能量的储存和释放 ,使降水增幅。     

阿克苏北部暴雨和冰雹湿位涡对比诊断分析

应用湿位涡理论,分别对阿克苏北部2次暴雨和冰雹过程进行诊断分析。结果表明：θse面陡立易导致湿斜压涡度发展,形成θse陡峭密集区,密集区内暴雨和冰雹容易发生;850hPa MPV1〈0和MPV2〉0以及700hPa MPV1〉0和MPV2〈0,易产生暴雨,且MPV1和MPV2数量级相当,即正压过程与斜压过程同样重要。冰雹发生时850hPa MPV1〉0和MPV2〈0,由于影响系统的不同,700hPa MPV1和MPV2分布有所不同,但存在MPV1和MPV2的正负配置,有利于倾斜涡度发展。     

青藏高原东北侧一次暴雪过程的湿位涡分析

利用NCEP（1°×1°）全球再分析格点资料,对青藏高原东北侧2002年10月18日一次暴雪天气进行诊断分析。结果表明：500 hPa北上的西南暖湿气流与东移南压的西北冷空气在36°N附近交汇形成的高原切变线是造成这次强降水的主要天气系统。暴雪发生在700 hPa湿位涡正压项MPV1正值密集带和湿位涡斜压项MPV2负值区中。由于等eθ线变得陡立密集,大气对流不稳定能量释放,MPV2绝对值增大,大气湿斜压性增强导致下滑倾斜涡度发展是形成此次暴雪的重要原因,它对暴雪预报有着很好的指示作用。     

COMPARATIVE ANALYSIS OF VARIOUS DATA OF AIR–SEA TEMPERATURE DIFFERENCE AND ITS VARIATION ACROSS SOUTH CHINA SEA IN THE PAST 35 YEARS

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.     

CHARACTERISTICS AND TRENDS OF CLIMATIC EXTREMES IN CHINA DURING 1959–2014

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.     

IMPACT OF ATMOSPHERIC LOW-FREQUENCY OSCILLATION ON THE IMMIGRATION OF NILAPARVATA LUGENS(STL) IN HUNAN AND JIANGXI PROVINCES

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.     

A COMPARATIVE ANALYSIS OF ATMOSPHERIC AND OCEANIC CONDITIONS BEFORE THE OCCURRENCE OF TWO TYPES OF EL NIO EVENTS

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.     

ANALYSIS OF “BIMODAL PATTERN” STORM ACTIVITY CHARACTERISTICS OF THE BAY OF BENGAL

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.     

LOW-FREQUENCY CIRCULATION AND EXTENDED-RANGE FORECAST IN CONNECTION WITH AUTUMN EXTREME HEAVY RAINFALL PROCESS IN HAINAN

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.     

AN ATTRIBUTION ANALYSIS OF CHANGES IN POTENTIAL EVAPOTRANSPIRATION IN THE BEIJING–TIANJIN–HEBEI REGION UNDER CLIMATE CHANGE

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.     

Could the Recent Taal Volcano Eruption Trigger an El Ni?o and Lead to Eurasian Warming?

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.     

Revisiting the Concentration Observations and Source Apportionment of Atmospheric Ammonia

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