2019年11月大气环流和天气分析

2019年11月大气环流主要特征为:北半球极涡呈偶极型分布,环流呈四波型,东亚槽略偏弱。全国平均降水量13.6 mm,较常年同期偏少27.7%,出现一次较强降水过程。全国平均气温4.0℃,较常年同期偏高1.2℃,共出现5次冷空气过程,其中1次为寒潮。22—24日,华北中南部、黄淮西部、汾渭平原等地发生1次霾过程。     

2019年1月大气环流和天气分析

2019年1月大气环流主要特征为：北半球极涡呈偶极型分布,环流呈三波型,南支槽平均位置大致位于90°E附近,同时,西太平洋副热带高压较常年同期位置偏西,强度偏强。本月,全国平均降水量为14.0 mm,较常年同期（13.5 mm）偏多4%,月内出现三次较强降水过程,江南和西南部分地区降水明显,全国共有35站日降水量达到极端事件标准。全国平均气温为-4.1℃,较常年同期（-5.0℃）偏高0.9℃,共出现4次冷空气过程。本月共发生2次大范围雾 霾天气过程。     

2015年11月大气环流和天气分析

2015年11月环流特征如下：北半球极涡呈单极型分布,中高纬西风呈3波型分布,南支槽平均位置大致位于90°E附近,同时,西太平洋副热带高压较常年同期偏西、强度偏强。11月全国平均降水量39.4 mm,较常年同期偏多1.1倍;全国平均气温为4.1℃,较常年同期偏高1.2℃,但华北、东北等地气温偏低。月内共出现2次冷空气过程和4次主要降水过程,江南、华南等地部分地区雨量偏多2~3倍,多站出现极端日降水量;月内还有3次重污染天气过程。     

2017年2月大气环流和天气分析

2017年2月大气环流的主要特征是极涡偏强且呈单极偏心型分布,中高纬环流呈3波型,西太平洋副热带高压强度接近常年,南支槽强度较常年偏弱。2月全国平均气温0℃,较常年同期偏高1.7℃;全国平均降水量14.4 mm,比常年同期（17.4 mm）偏少17.1%。2月我国有两次强冷空气过程;3次降水过程,其中新疆出现了一次暴雪过程,日降水量打破历史极值;中东部出现两次雾 霾天气。     

2014年11月大气环流和天气分析

2014年11月大气环流特征如下：北半球极涡呈单极型分布,亚欧地区中高纬环流以纬向环流为主;南支槽较活跃,平均位置位于100°E附近;西太平洋副热带高压与常年强度相当,位置偏南、偏西。11月,全国平均降水量22.6 mm,较常年同期（18.8 mm）偏多20.2%;全国平均气温3.9℃,较常年同期（2.9℃）偏高1.0℃。月内,共出现4次主要降水过程,江南华南部分地区降水明显,部分地区出现持续阴雨;冷空气活动频繁,有4次主要冷空气过程影响我国,造成共有26站发生极端日降温事件,其中3站日降温幅度突破历史极值;月内还有4次大范围雾、霾天气过程。     

2016年12月大气环流和天气分析

2016年12月大气环流主要特征如下：北半球极涡呈偶极型分布,中心气压较常年偏低,欧亚中高纬度环流呈两槽一脊型;南支槽强度偏弱,平均位置位于90°E附近,副热带高压较常年偏强。12月,全国平均降水量为11.5 mm,较常年同期偏多9.5%。全国平均气温为-0.7℃,较常年同期（-3.2℃）偏高2.5℃,为1961年以来历史同期最高值。月内,我国出现两次主要冷空气过程和两次主要降水过程以及3次雾 霾天气过程,其中16—21日雾 霾天气过程是2016年范围最广、持续时间最长、强度最强的雾 霾天气过程。     

2013年11月大气环流和天气分析

2013年11月大气环流主要特征是：北半球极涡呈单极型分布,主体位于北极圈内,强度较常年同期偏强;欧亚中高纬环流经向度较小;南支槽平均位置大致位于80°E附近,同时,副热带高压较常年同期偏强,位置偏西、偏北。11月,全国平均降水量为22.5 mm,较常年同期（18.8 mm）偏多19.7%。全国平均气温为3.6℃,较常年同期（2.9℃）偏高0.7℃。月内,我国出现3次冷空气过程和6次较强降水过程。东北地区出现了两次强降雪过程,部分地区出现暴雪到大暴雪;台风海燕给华南地区带来较大风雨影响;北方冬麦区及江南大部出现明显降水,干旱缓解;由于冷空气势力弱,中东部地区雾霾天气频发,全国平均雾霾日数为4.3天,为1961年以来历史同期最多。     

2020年4月大气环流和天气分析

2020年4月大气环流呈单极型分布,中高纬环流为三波型,西太平洋副热带高压强度与常年相当,南支槽较常年偏弱。4月全国平均气温为11.2℃,接近常年同期,全国共有18个站日降温幅度达到极端事件标准。全国降水量为33.7 mm,较常年同期（45.1 mm）偏少25.3%。月内共出现2次主要冷空气过程,4次大范围降雨过程;云南气象干旱缓解,长江以北多地气象干旱发展;北方地区出现1次沙尘暴天气,较常年同期明显偏少。     

2021年3月大气环流和天气分析

2021年3月大气环流呈双极型分布,中高纬环流为三波型,东亚大槽偏弱,西太平洋副热带高压强度与常年相当。3月全国平均气温为6.6℃,较常年同期(4.1℃)偏高2.5℃,为1961年以来同期第二高。全国降水量为27.8 mm,较常年同期(29.5 mm)偏少6%。本月有3次大范围沙尘天气过程,较常年偏强偏多,其中13—18日为近十年我国最强沙尘天气过程。强对流天气偏少,仅月底在长江流域发生一次强对流天气过程。月内冷空气偏弱,仅于15—17日发生一次中等强度冷空气过程。云南等地干旱持续,华南干旱开始发展。     

2018年12月大气环流和天气分析

2018年12月大气环流主要特征为：北半球极涡为单极型分布,欧亚中高纬呈两槽一脊型,环流经向度大,有利于引导冷空气南下;南支槽偏强,且副热带高压位置偏西,有利于水汽向我国南方地区输送。12月,全国平均降水量为18.7 mm,较常年同期偏多73.1%;全国平均气温为-3.8℃,较常年同期（-3.2℃）偏低 0.6℃。月内共出现2次大范围降水过程、3次冷空气过程和2次雾 霾天气过程。其中,12月5—11日及12月27日至2019年1月1日,我国中东部地区出现两次大范围持续性低温雨雪天气,多地最低气温突破历史极值。     

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.     

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.     

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.     

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     

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正AIMS AND SCOPE Atmospheric and Oceanic Science Letters (AOSL) publishes short research letters on all disciplines of the atmosphere sciences and physical oceanography. Contributions from all over the world are welcome.SUBMISSIONAll submitted     

A Brief Introduction to Marine Meteorological Science Experiment Base at Bohe Town,Maoming City,Guangdong Province

<正>With the support of specialized funds for national science institutions,the Guangzhou Institute of Tropical and Marine Meteorology,China Meteorological Administration set up in October 2008 an experiment base for marine meteorology and a number of observation systems for the coastal boundary layer,air-sea flux,marine environmental elements,and basic meteorological elements at Bohe town,Maoming city,Guangdong province,in the northern part of the South China Sea.     

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AIMS AND SCOPE
Atmospheric and Oceanic Science Letters （AOSL） publishes short research letters on all disciplines of the atmosphere sciences and physical oceanography. Contributions from all over the world are welcome.     

Information for Authors

AIMS AND SCOPE Atmospheric and Oceanic Science Letters （AOSL） pub- lishes short research letters on all disciplines of the atmos- phere sciences and physical oceanography. Contributions from all over the world are welcome.