2013年1月大气环流和天气分析

2013年1月大气环流特征为:北半球极涡呈偶极型,极涡范围及强度较常年偏弱,中高纬环流呈三波型,欧亚大陆槽位于西西伯利亚,位置偏北,引导多股冷空气影响我国北方,月内中高纬环流形势调整较大,上旬以经向型环流为主,中下旬则转为纬向型环流;西太平洋副热带高压接近常年同期,东亚大槽位于西北太平洋西岸,较常年偏强,南支槽位于90°E附近,较常年略偏弱.2013年1月,全国平均气温为-5.2℃,略低于常年同期(-5.0℃).月内气温阶段性调整明显,上旬,较同期偏低3℃,下旬,较同期偏高1.7℃.全国平均降水量为6.5 mm,较常年同期(13.2 mm)偏少50.8％.月内出现一次强冷空气过程,雾霾天气频繁,共出现3次较大范围雾霾过程.南方部分地区遭受低温雨雪冰冻灾害,北方局地遭受雪灾,云南大部、贵州西部及四川南部等地气象干旱持续.     

2011年10月大气环流和天气分析

2011年10月大气环流主要特征如下：极涡呈偶极型分布,中心分别位于格陵兰岛北部和亚洲北部,位于格陵兰岛的中心比常年略偏强。中高纬度地区环流呈现4波型分布,大西洋中部和太平洋东部大槽的强度略偏强,东欧槽和东亚槽比常年偏弱。南支槽大约位于90。E附近略偏西,与多年平均位置一致,强度略偏强。副热带高压强度接近常年同期。2011年10月全国平均气温为10.6℃,较常年偏高1.0℃。全国平均降水量为38.7 mm,较常年同期偏多1.7 mm。月内出现4次较强降水过程、2次较强冷空气过程和3次大雾天气过程。     

2012年1月大气环流和天气分析

2012年1月大气环流及我国天气主要特征如下：北半球高纬度地区极涡呈偶极型,位于加拿大北部的中心偏强,亚洲东北部地区的中心偏弱,中高纬度地区环流呈现经向型,东亚大槽偏强,平均南支槽位于80。E附近,强度偏强。2012年1月全国平均气温为－7．2℃,较常年同期偏低1．7℃。全国平均降水量为16．8mm,较常年同期偏多3．9mm。月内出现两次中等以上强度的冷空气过程以及4次降水过程,新疆、内蒙古等地出现极端低温事件,南方出现大范围持续低温阴雨（雪）天气。     

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。     

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。     

2021年12月大气环流和天气分析

2021年12月大气环流的主要特征是:北半球极涡呈偶极型分布,东亚大槽偏西偏强,西太平洋副热带高压接近常年同期.12月,全国平均降水量为8.7 mm,比常年同期(10.5 mm)偏少17.1％;全国平均气温为-2.3℃,比常年同期(-3.2℃)偏高0.9℃.月内出现了3次冷空气过程和1次大范围持续性雾-霾天气过程,此外...     

2010年11月大气环流和天气分析

2010年11月大气环流主要特征是:北半球高纬度地区为单一极涡,极涡中心位于新地岛以北,强度比常年略偏强.中高纬环流呈三波型分布,其中欧洲大槽较常年同期偏强,东亚大槽强度接近常年同期.亚洲以正高度距平为主,只有西伯利亚地区呈现负距平,表明冷空气势力较常年同期偏弱.西北太平洋副热带高压面积接近常年同期,强度略偏弱,脊线位...     

2011年12月大气环流和天气分析

2011年12月大气环流主要特征是：北半球极涡呈单极型分布,强度较常年同期偏强,但位置偏向西半球。中高纬环流呈4波型,其中西欧大槽强度较常年同期偏强,东亚大槽强度偏弱,南支槽和副热带高压位置接近常年同期,但南支槽强度偏弱,不利于水汽输送。月内我国出现了2次主要的冷空气过程。12月,全国平均气温-3.8℃,略高于常年同期（-3.9℃）。月内,全国平均降水量为7.5 mm,较常年同期（9.8 mm）偏少23.5%。月降水量与常年同期相比,辽宁、吉林西部、内蒙古东南部、广东大部、青海西部、西藏中部等地偏少8成以上。     

2019年12月大气环流和天气分析

2019年12月大气环流主要特征为:北半球极涡为偶极型分布,环流呈三波型,东亚槽略偏弱,南支槽偏强,且副热带高压位置偏西。12月,全国平均降水量为11.2 mm,较常年同期(10.5 mm)偏多6.7%;全国平均气温为-2.7℃,较常年同期(-3.2℃)偏高0.5℃。月内共出现3次较强降水过程和3次中等强度冷空气过程。另外,7—10日、20—26日我国中东部地区发生了两次持续性大范围雾-霾天气过程。     

2011年4月大气环流和天气分析

2011年4月大气环流主要特征如下：北半球极涡呈现单极型,且偏向西半球,中高纬度地区环流呈现三波型分布,亚洲中高纬地区为一槽一脊形势。东亚大槽较常年同期偏强,西太平洋副热带高压明显偏弱,南支槽接近常年同期。2011年4月全国平均气温为11.3℃,较常年同期偏高1.0℃,西北地区大部气温明显偏高。4月全国平均降水量为21.4mm,较常年同期偏少22.4mm。月内共出现4次冷空气过程和4次沙尘天气过程,部分省（市、区）遭受强对流天气袭击。     

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.     

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     

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.     

Information for Authors

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     

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.