2017年3月大气环流和天气分析

2017年3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4波型,西太平洋副热带高压强度较常年偏弱,南支槽强度较常年偏强。3月全国平均气温4.5℃,较常年同期偏高0.4℃;全国平均降水量36.2 mm,比常年同期（29.5 mm）偏多22.7%。月内我国东部地区有2次中等强度冷空气过程;南方地区有3次区域性暴雨天气过程;北方地区有2次沙尘天气过程;江苏、湖南等省局地遭受风雹袭击。     

2018年3月大气环流和天气分析

2018年3月大气环流的主要特征是极涡呈偶极型分布,中高纬环流呈3波型,西太平洋副热带高压强度较常年偏弱,南支槽强度与常年相当。3月全国平均气温7.0℃,较常年同期（4.1℃）偏高2.9℃,为1961年以来同期最高;全国平均降水量29.4 mm,接近常年同期（29.5 mm）。月内我国中东部地区出现1次全国中等（南方强）冷空气过程,1次北方强冷空气过程;南方地区有5次主要降水过程;北方地区有3次沙尘天气过程;江西、湖北、湖南和广西等省(区)局地遭受风雹袭击。     

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。     

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。     

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。     

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。     

2016年2月大气环流和天气分析

2016年2月大气环流的主要特征是北半球极涡呈偶极型分布,中高纬环流经向度大;太平洋副热带高压接近常年同期或偏强,南支槽较常年同期偏弱,不利于水汽向我国输送。2月全国平均降水量12.3 mm,较常年同期（17.4 mm）偏少29.3%,全国平均气温-1.6℃,接近常年同期（-1.7℃）。月内,我国中东部大部地区出现一次寒潮天气过程;西北地区出现今年首次沙尘天气过程。     

2018年4月大气环流和天气分析

2018年4月大气环流的主要特征是极涡偏强且呈偶极型分布,中高纬环流呈4波型,西太平洋副热带高压强度较常年偏弱,南支槽强度较常年偏强。4月全国平均气温12.4℃,较常年同期偏高1.4℃;全国平均降水量43.6 mm,比常年同期（44.7 mm）偏少2.5%。月内我国有3次冷空气过程,其中2—7日为一次全国性强冷空气过程,造成大范围剧烈降温和雨雪天气;北方地区出现5次沙尘过程;南方地区出现3次暴雨过程,其中22—24日的暴雨过程给长江中下游地区造成严重的暴雨洪涝灾害。     

2018年5月大气环流和天气分析

2018年5月大气环流的主要特征是北半球极涡呈偶极型分布,强度偏强;中高纬环流呈三波型,欧亚环流经向度不大;西太平洋副热带高压偏强,南支槽强度比常年略偏弱。全国平均气温为17.1℃,较常年同期（16.2℃）偏高0.9℃,全国平均降水量73.1 mm,较常年同期（69.5 mm）偏多5.2%。月内,我国南方地区出现7次大范围强降雨天气过程,且多省遭受风雹袭击,局部地区受灾较重。此外,东北地区发生干旱,下旬有所缓和;中下旬江南、华南地区出现持续高温天气;北方地区出现2次沙尘天气过程。     

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.     

Analysis of Atmospheric Boundary Layer Height Characteristics over the Arctic Ocean Using the Aircraft and GPS Soundings

正ERRATUM to: Atmospheric and Oceanic Science Letters, 4(2011), 124-130 On page 126 of the printed edition (Issue 2, Volume 4), Fig. 2 was a wrong figure because the contact author made mistake giving the wrong one. The corrected edition has been updated on our website. The editorial office is sincerely sorry for any     

Index to Vol.31

正AN Junling;see LI Ying et al.;(5),1221—1232AN Junling;see QU Yu et al.;(4),787-800AN Junling;see WANG Feng et al.;(6),1331-1342Ania POLOMSKA-HARLICK;see Jieshun ZHU et al.;(4),743-754Baek-Min KIM;see Seong-Joong KIM et al.;(4),863-878BAI Tao;see LI Gang et al.;(1),66-84BAO Qing;see YANG Jing et al.;(5),1147—1156BEI Naifang;     

Information for Contributors

正Journal of Meteorological Research is an international academic journal in atmospheric sciences edited and published by Acta Meteorologica Sinica Press,sponsored by the Chinese Meteorological Society.It has been acting as a bridge of academic exchange between Chinese and foreign meteorologists and aiming at introduction of the current advancements in atmospheric sciences in China.The journal columns include Articles.Note and Correspondence,and research letters.Contributions from all over the world are welcome.     

前寒武纪气候演化中的三个重要科学问题

自地球形成至寒武纪将近40亿年（距今46亿～5.4亿年,通常称为前寒武纪）的气候演变是一个具有特殊难度和挑战性的研究领域,同时也是基础和前沿的研究领域。文章选择了前寒武纪气候演化中的三个重要科学问题进行综述：大气演化、两次全球性的冰川期以及暗弱太阳问题。关于大气演化,本文首先描述了大气成分的演化历史,然后简述了影响大气成分演化的三个基本过程：大气逃逸、两次大气氧含量突然增加、碳酸盐-硅酸盐循环及其对气候系统的负反馈作用。两次全球性的冰川期分别发生在古元古代（距今24亿～21亿年）和新元古代（距今8亿～5.8亿年）,文章简述了其成因以及相关的气候模拟结果。暗弱太阳问题是地球历史气候演化的一个经典问题,论文简要地综述了一些最新的研究成果和观点。     

淮河流域水文极值预测模型研究

为探索气候变化影响下水文极值的非平稳性和预测方法,建立了水文极值非平稳广义极值（GEV）分布的统计预测模型。利用1952-2010年淮河上游流域累计面雨量和流量年最大值资料、同期500 hPa环流特征量资料以及17个CMIP5模式对环流特征量的模拟结果,筛选出对水文极值影响显著的年平均北半球极涡强度指数作为GEV分布参数的预测因子。分析了在RCP2.6、RCP4.5和RCP8.5情景下2006-2050年淮河上游流域水文极值对气候变化的响应。结果表明,10年以下与10年以上重现期的水文极值在非平稳过程中呈现前者下降而后者上升的相反变化趋势;多模型预测的集合平均在未来情景中均呈现上升趋势,情景排放量越大增幅越大,重现期越长增幅也越大。与极值的常态相比,极值的极端态更易受气候变化影响。     

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.     

The impact of AIRS atmospheric temperature and moisture profiles on hurricane forecasts: Ike (2008) and Irene (2011)

Atmospheric Infra Red Sounder(AIRS) measurements are a valuable supplement to current observational data, especially over the oceans where conventional data are sparse. In this study, two types of AIRS-retrieved temperature and moisture profiles, the AIRS Science Team product(Sci Sup) and the single field-of-view(SFOV) research product, were evaluated with European Centre for Medium-Range Weather Forecasts(ECMWF) analysis data over the Atlantic Ocean during Hurricane Ike(2008) and Hurricane Irene(2011). The evaluation results showed that both types of AIRS profiles agreed well with the ECMWF analysis, especially between 200 h Pa and 700 h Pa. The average standard deviation of both temperature profiles was approximately 1 K under 200 h Pa, where the mean AIRS temperature profile from the AIRS Sci Sup retrievals was slightly colder than that from the AIRS SFOV retrievals. The mean Sci Sup moisture profile was slightly drier than that from the SFOV in the mid troposphere. A series of data assimilation and forecast experiments was then conducted with the Advanced Research version of the Weather Research and Forecasting(WRF) model and its three-dimensional variational(3DVAR) data assimilation system for hurricanes Ike and Irene. The results showed an improvement in the hurricane track due to the assimilation of AIRS clear-sky temperature profiles in the hurricane environment. In terms of total precipitable water and rainfall forecasts, the hurricane moisture environment was found to be affected by the AIRS sounding assimilation.Meanwhile, improving hurricane intensity forecasts through assimilating AIRS profiles remains a challenge for further study.