2017年1月大气环流和天气分析

2017年1月大气环流主要特征如下：北半球极涡呈绕极型分布,中心气压较常年偏低,欧亚中高纬度环流呈两槽一脊型;南支槽强度与常年接近,平均位置位于90°E以西附近,副热带高压较常年接近。1月,全国平均降水量为12.4 mm,较常年同期偏少6%。全国平均气温为-3.4℃,较常年同期（-5.0℃）偏高1.6℃,为1961年以来历史同期第三高值。月内,我国出现主要冷空气过程、主要降水过程以及雾 霾天气过程各2次,其中2016年12月30日至2017年1月6日雾 霾天气过程是1月范围最广、持续时间最长、强度最强的雾 霾天气过程。     

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。     

2018年1月大气环流和天气分析

2018年1月大气环流主要特征为：北半球极涡呈偶极型分布,环流呈四波型,东亚槽略偏强。1月,全国平均降水量19.6 mm,较常年同期(13.2 mm)偏多48.4%。1月冷空气势力明显加强,全国平均气温（-5.3℃）由较常年偏高转为偏低的状态,气温较常年同期（-5.0℃）偏低0.3℃。月内,降水偏多偏强,我国南方地区以及陕西关中等地出现较为少见的冰冻雨雪天气,与2008年出现的南方雪灾情况相似;1月仅有1次雾-霾天气过程,但2018年1月13—22日是2017年入冬以来范围最广、持续时间最长、强度最强的雾-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。     

2018年10月大气环流和天气分析

2018年10月大气环流主要特征如下：北半球极涡呈偶极型,中高纬地区西风带为4波型分布,西太平洋副热带高压较常年位置偏西。全国平均降水量为28.1 mm,较常年同期（35.8 mm）偏少21.6%。全国平均气温为9.9℃,较常年同期（10.3℃）偏低0.4℃,为近16年来同期最低。10月我国无大范围暴雨天气过程,江南及华南地区雨日较多。冷空气活动频繁,出现5次过程,较常年偏多。京津冀地区出现2次雾 霾天气过程,相对往年秋、冬季雾 霾偏轻。月内没有台风登陆我国。     

2014年1月大气环流和天气分析

2014年1月大气环流主要特征如下：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,位置较常年同期明显偏西;同时,西太平洋副热带高压较常年同期略偏弱。1月,全国平均降水量为6.2 mm,较常年同期（13.2 mm）偏少53.0%。全国平均气温为-3.4℃,较常年同期（-5.0℃）偏高1.6℃。月内,我国出现1次主要冷空气过程和4次主要降水过程。北方冬麦区降水偏少,气象干旱持续;中东部地区出现大范围雾或霾天气;南方地区出现低温雨雪天气     

2017年12月大气环流和天气分析

2017年12月大气环流的主要特征如下：北半球极涡呈偶极型分布,欧亚中高纬环流呈两槽一脊型;南支槽位于70°E 附近,较常年同期偏西,副热带高压位置偏西,不利于水汽向我国中东部地区输送。12月,全国平均降水量为5.9 mm,比常年同期（10.8 mm）偏少44.8%,我国北方大部分地区降水量较常年同期偏少4~8成。全国平均气温-2.2℃,较常年同期（-3.2℃）偏高1℃;受偏强东北低涡影响,东北地区和内蒙古中东部气温较常年同期偏低1~3℃。月内,冷空气活动频繁,但强度较弱,出现5次一般强度冷空气过程。受频繁冷空气影响,雾 霾天气较常年同期偏少,仅28—30日出现一次大范围持续性雾 霾天气。     

2015年12月大气环流和天气分析

2015年12月大气环流主要特征如下：北半球极涡呈单极型分布,中心位于格陵兰岛附近,欧亚中高纬环流呈两槽一脊型;南支槽较活跃,平均位置大致位于90°E,副热带高压偏强,面积偏大。12月,全国平均气温为-2.1℃,较常年同期（-3.2℃）偏高1.1℃。全国降水量分布不均匀,南方地区多阴雨天气,江南大部、华南大部出现100～200 mm降水,全国平均降水量24.1 mm,较常年同期（10.5 mm）偏多1.3倍,为1951年以来同期最多。月内,我国出现三次冷空气过程、三次主要降水过程及两次大范围雾 霾天气过程。其中19—25日雾 霾天气过程具有持续时间长、影响范围广、空气污染程度重的特点,重度霾面积为2015年之最。     

2023年12月大气环流和天气分析

2023年12月大气环流的主要特征是：北半球极涡呈多极型分布,欧亚中高纬环流经向度大,东亚大槽偏强,西太平洋副热带高压异常强盛。12月,全国平均降水量为12.2mm,较常年同期（11.9mm）偏多2.5%;全国平均气温为-2.6℃,比常年同期（-3.0℃）偏高0.4℃。月内共出现6次冷空气过程、1次沙尘天气过程和1次大范围持续性雾 霾天气过程。其中13—16日,我国大部地区遭遇的强寒潮过程具有影响范围广、降温幅度大和低温极端性显著等特点。     

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。     

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.     

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.     

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     

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.     

Information for Authors

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.     

Information for Authors

正AIMS AND SCOPE Atmospheric and Oceanic Science Letters (AOSL) publishes short research letters on all disciplines of the atmosphere sciences