2012年3月大气环流和天气分析

2012年3月大气环流主要特征是:北半球极涡呈多极型分布,强度较常年同期略偏强;中高纬度环流呈4波型分布,中低纬地区南支槽略偏强,有利西南暖湿空气向我国的输送;西太平洋副热带高压强度偏弱。3月全国平均气温为3.5℃,比常年同期(3.8℃)略偏低0.3℃。全国平均降水量为31.4 mm,较常年同期(28.9 mm)偏多8.7%。月内我国出现了3次主要的冷空气过程,北方出现今年首次沙尘天气过程,南方持续低温阴雨天气。     

2017年4月大气环流和天气分析

2017年4月大气环流的主要特征是极涡呈偶极型分布,强度偏弱,中高纬环流呈4波型分布,西太平洋副热带高压强度较常年偏强,南支槽强度与常年相当。4月全国平均气温为12.0℃,较常年同期偏高1.0℃;全国平均降水量为44.0 mm,较常年同期偏少2%。月内出现1次全国大范围较强冷空气过程;南方多降水天气,共出现3次区域性暴雨天气;北方出现2次扬沙天气;多省(区、市)局地遭遇风雹灾害。     

2014年5月大气环流和天气分析

2014年5月环流特征如下:北半球极涡成准圆形绕级分布,中心强度为524 dagpm,较气候平均的强度偏强4~6dagpm,北半球高纬500 hPa位势高度呈4波型分布,我国中东部大部地区受偏西气流控制,多短波槽活动;副热带高压较常年明显偏西偏北,南方地区出现多次强降水天气过程。另外,南海季风爆发较常年同期明显偏晚。5月全国平均气温为全国平均气温16.5℃,较常年同期(16.2℃)偏高0.3℃;全国平均降水量73.8 nm,较常年同期(69.5 mm)略偏多6.2%。月内,我国主要天气特点是:华南江南暴雨频发,华北黄淮出现极端高温。     

2017年5月大气环流和天气分析

2017年5月大气环流的主要特征是极涡偏强且呈单极型分布,中高纬环流呈多波型,西太平洋副热带高压强度较常年偏强,南支槽强度较常年偏弱。5月全国平均气温17.1℃,较常年同期偏高0.9℃,为1961年以来第4高;全国平均降水量59.4 mm,比常年同期（69.5 mm）偏少14.5%,但5月7日广州出现破历史极值的极端强降水。月内我国南方地区有5次区域性暴雨天气过程;北方出现极端高温过程;东北西部、华北等地发生严重气象干旱;北方地区有2次沙尘天气过程。     

2022年12月大气环流和天气分析

2022年12月大气环流的主要特征是:北半球极涡呈偶极型分布,东亚大槽偏强,环流形势有利于冷空气活动;南支槽偏弱,西太平洋副热带高压偏东,不利于降水天气的发展。12月,全国平均降水量为7.5 mm,较常年同期(11.9 mm)偏少37%;全国平均气温为-4.2℃,较常年同期(-3.0℃)偏低1.2℃。月内出现了4次冷空气过程,1次沙尘天气过程。冷空气活动频繁,全国大部地区大气扩散条件较好;11—13日沙尘天气过程强度强,发生时间偏晚。     

2012年4月大气环流和天气分析

2012年4月大气环流特征为:北半球极涡呈单极型分布,强度接近常年;中高纬度环流呈4波型分布,乌拉尔山阻塞高压尤其偏强,有利于冷空气影响我国;中低纬度地区南支槽前多波动,西太平洋副热带高压强度稍偏强。4月全国平均温度为11.7℃,较常年同期(10.7℃)偏高1.0℃。全国平均降水量为45.6 mm,较常年同期(43.1 mm)偏多2.5 mm(偏多5.8%)。月内我国共出现了8次大到暴雨降水过程,华南、江南多强对流并伴随雷暴大风和冰雹天气,北方出现6次沙尘过程。     

2010年5月大气环流和天气分析

2010年5月大气环流主要特征如下:北半球高纬度地区极涡呈偶极型,强度偏弱。中高纬度地区环流呈现五波型分布,东亚大槽的强度偏弱,位置偏西。西太平洋副热带高压呈东西向带状分布,脊线较常年偏北,副高西脊点西伸至印度洋一带。2010年5月全国平均气温为16.0℃,较常年偏高0.4℃。全国平均降水量为80.1 mm,较常年同期偏多13.4 mm。月内出现三次较强冷空气过程和三次沙尘天气过程。     

2020年2月大气环流和天气分析

2020年2月大气环流的主要特征是北半球极涡呈偶极型分布且较常年同期明显偏强,欧亚地区中高纬环流呈三波型,环流呈纬向型,经向度较小。西太平洋副热带高压较常年偏强;下旬南支槽趋于活跃。2月,我国冷空气过程较常年偏少,出现今年首个全国型寒潮过程;全国平均气温为-0.1℃,较常年同期偏高1.6℃;全国平均降水量21.1 mm,较常年同期偏多18%。此外,前半月中东部多过程性雾 霾天气;西北地区出现今年首次沙尘天气过程。     

2010年4月大气环流和天气分析

2010年4月大气环流主要特征如下:北半球极涡分布成偶极型,中高纬地区大气环流呈四波型分布,四个大槽的强度偏弱,南支槽接近多年平均位置,但强度偏弱。西太平洋副热带高压明显偏弱于常年。4月全国平均气温为9.1℃,较常年同期偏低1.2℃。全国平均降水量为56.1 mm,较常年同期偏多12.3 mm。月内,西南旱区多次出现降水过程,大部地区旱情缓解;此外我国共出现5次沙尘天气过程;部分省(市、区)遭受强对流天气袭击。     

2015年3月大气环流和天气分析

2015年3月大气环流主要特征是:北半球极涡呈偶极型分布,位置较常年同期明显偏南,欧亚中高纬环流经向度较小,南支槽平均位置位于70°E附近;同时,西太平洋副热带高压较常年同期明显偏强、位置偏西.3月,全国平均降水量为21.8mm,较常年同期(29.5mm)偏少26.1％.全国平均气温为5.8℃,较常年同期(4.1℃)偏高1.7℃.月内,我国出现5次主要的冷空气过程和5次主要的降水过程.江南等地多阴雨天气,我国东部出现3次轻到中度雾-霾天气,北方出现5次沙尘天气过程.     

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