黑龙江秋季两次区域性初霜冻天气过程特征和预报分析

应用气象常规资料和地面自动观测资料,分析了2009年9月18日和9月26日清晨黑龙江中北部发生的两次初霜冻天气过程特征,并进行天气学成因分析,在此基础上得到了霜冻预报的着眼点,结果表明强冷空气是造成冻害的直接原因,另外地面前一日14时气温、露点温度要素和高压的位置对霜冻出现区域有很重要的影响.     

河西走廊东部一次霜冻天气过程成因及其对农业的影响

2016年5月15日清晨河西走廊东部发生区域性强霜冻天气,对农林业生产造成了2004年以来最为严重的灾害。本文利用实时MICAPS常规观测资料、物理量场和河西走廊东部区域内6个国家自动气象观测站和93个区域气象站观测资料,对这次冻害天气过程的天气学成因进行分析,在此基础上分析了霜冻对农业的影响。结果表明强冷空气爆发是造成冻害的直接原因;0 cm地面温度和气温≤0 ℃持续时间长,导致农林作物深度冻伤;前期气温偏高使得农林作物发育期提前,加之霜冻出现时间偏迟,农林作物抵抗冻害的能力明显下降,冻害影响加重;冻害发生后,温度急剧上升、湿度迅速减小,作物水分强烈蒸腾,作物细胞失去受损,导致受灾程度加重。     

一次区域性冻害天气的成因分析

2004年5月3～5日清晨,河西走廊东部地区连续发生区域性强霜冻天气,对武威市农林业生产造成有气象记录(1951年)以来最为严重的危害。文中应用实时MICAPS气象资料和地面自动观测资料,对这次冻害天气过程进行了天气学和气候学成因分析,在此基础上得到了霜冻预报的着眼点,结果表明强冷空气爆发是造成冻害的直接原因,前期气温异常偏高使农作物生育期提前、长时间持续0℃以下气温和地温加剧了冻害程度。     

凤县花椒霜冻特点及御防

通过对凤县气象站1961-2008年的资料统计分析,结果表明风县春季霜冻的气候特点：平均终霜日为4月16日,80％保证率的终霜日为4月26日,80％的霜冻和98％的重型霜冻出现在3月下旬-4月上旬,霜冻均为平流辐射型。根据区域自动气象站资料对2008年4月21-25日霜冻过程对比分析,结合冻害调查,探讨风县花椒冻害的特点和影响因素,提出凤县花椒春季冻害的防御措施：①通过现代育种技术选育抗冻性强的品种;②大规模种植,要重视气候保证率;③充分开发利用当地小气候资源,因地制宜发展花椒;④使用生长抑制剂延缓作物生长,使花期避开霜冻高发期。     

金华地区茶树种植气象灾害时空分布特征

利用金华地区1953—2020年地面气象观测数据和农业统计资料,分析浙江省金华地区茶树春季霜冻、冬季冻害和夏季高温热害等灾害的时空分布,对气象灾害综合风险进行了评估,同时利用Mann Kendall方法对春季霜冻变化趋势和突变进行了验证。结果表明：金华地区茶树春季霜冻和冬季冻害高发地区集中于磐安、东阳和武义等高海拔地区;夏季高温热害的高发地区主要集中于浦江等平原盆地地区;茶树种植气象灾害综合高风险地区主要集中于磐安、浦江西北部、婺城区南部和武义西部。金华地区茶树春季霜冻灾害发生概率呈逐年减小趋势,有利于早茶生长以及产量和品质的提升。     

广西糖料蔗寒冻害风险评估与风险区划研究

基于广西1961~2013年冬季寒冻害过程最低气温资料、地理信息数据及地表反射率资料,采用统计学中的多元回归法,构建了基于地理信息与地表反射率相耦合的最低气温降尺度模型及区域250m×250m网格点逐年冬季寒冻害过程最低气温数据库。在此基础上,结合糖料蔗寒冻害等级指标,对广西区域糖料蔗寒冻害时空分布特征进行了分析,并编制了广西区域糖料蔗不同寒冻害等级频率图及糖料蔗寒冻害产量损失率图,同时对广西糖料蔗寒冻害风险等级进行划分及评述。这一结果对糖料蔗种植优化布局及政策性农业保险费率的确定有积极意义。     

气候变化对陕西苹果生长适宜性影响

利用陕西苹果生产基地县及其以北地区气象观测和物候观测资料,采用时间序列分析和专家打分方法,分析了近50年来影响陕西苹果产量和质量的主要气象因子、花期霜冻和高温日数的变化特征以及气候变化对陕西苹果生长的气候适宜性评分的影响。结果表明:年平均气温和夏季平均最低气温具有明显的上升趋势,夏季相对湿度变化不大,近30年 (1979—2008年) 年降水量明显少于1961—1990年平均值;1961—1990年、1971—2000年、1979—2008年3个30年苹果基地县大部分果区气候适宜性总评分没有明显变化;温度升高、降水减少是研究区域一些县 (区) 苹果生长气候适宜性评分变化的主要原因。1961年以来, 4月中旬霜冻频率的增加使渭北西部果区和延安果区遭遇花期冻害的可能性增加;20世纪90年代以来, 高温日数的增加使果树受高温热害的影响增大。     

2018和2020年铜川核桃晚霜冻害分析

采用铜川市宜君、铜川、耀州区3个国家气象观测站和76个区域自动气象站气温观测资料,以及相应的高空探测资料,对2018、2020年铜川市核桃晚霜冻害进行分析。结果显示：造成晚霜冻害的冷空气均是自北向南影响全市,宜君极端最低气温出现时间比铜川和耀州提前1 d,全市极端最低气温均出现在宜君县棋盘镇弥家河。2018、2020年晚霜冻害均属于轻度,2018年晚霜冻害范围和强度均大于2020年;全市晚霜冻害高发区主要分布在宜君县、耀州区西北部山区,宜君县发生晚霜冻害强度、范围较大;受混合型霜冻影响,地势相对较低的低洼地带的最低气温较周边偏低4～6 ℃。     

2010年河南省晚霜冻天气成因分析

本文利用常规气象观测资料、EOS／MODIS卫星遥感资料以及NCEP再分析资料,对2010年4月13-15日豫西、豫北一带冬麦区出现的晚霜冻害进行分析,结果表明：此次霜冻由来自超极地路径的冷空气经寒潮关键区后入侵河南,与后期补充南下冷空气的共同作用形成,高空500hPa主要影响系统为旋转南下的横槽。这种类型的冷空气活动在春季更易给豫西北、豫西带来强降温、霜冻害天气。而前期气候干旱导致土壤失墒,易发生霜冻害;当时小麦正处于拔节一抽穗的低温敏感期,抗寒能力较弱,加重了霜冻害程度。     

云南严重低温霜冻灾害天气个例分析

1999年12月下旬特大霜冻灾害是云南1951年以来损失最大的一次自然灾害,受灾面积85万hm^2,直接经济损失55亿元。利用高空和地面气象资料,分析了严重低温霜冻灾害的天气成因,并与历史上的1973／1974、1975／1976年冬季云南两次严重霜冻灾害进行了比较。结果表明：特大霜冻灾害是在云南连续暖冬背景下发生的,对云南经济作物和热带作物的危害最大。高空冷平流与地面冷高压控制下长时间夜间晴空辐射冷却降温是此次重霜冻形成的主要原因,500hPa、700hPa偏北气流和干冷南支槽是主要影响天气系统。碧空无云、静风、湿度小、气温低、气压高、露点温度特低是此次重霜冻的主要气象要素变化特征。冻害以滇南热带作物种植区最为严重。关键词霜冻低温冷平流晴空辐射暖冬     

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.     

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 “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.     

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.     

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;