近50年丹东气候变化分析

利用1952～2001年丹东月平均气温、降水资料 ,采用温度、降水求直线回归方程和 5a滑动平均值方法 ,分析近 50a丹东气候变化情况。结果表明 :年平均气温和四季气温变化均呈上升趋势 ;年降水和四季降水均呈下降趋势     

近50年丹东气候变化分析

利用1952～2001年丹东月平均气温、降水资料，采用温度、降水求直线回归方程和5a滑动平均值方法，分析近50a丹东气候变化情况。结果表明：年平均气温和四季气温变化均呈上升趋势；年降水和四季降水均呈下降趋势。     

十堰市近40年气温和降水变化特征分析

利用1961～2000年十堰市7个气象观测站的年平均气温、年平均最高气温、平均最低气温、年降水量资料,对十堰市近40年,尤其是近10年来的气温和降水的变化特征作了较为详细的统计分析。结果表明：十堰市年平均气温、年平均最低气温、年平均最高气温自20世纪80年代中期以来均呈上升趋势,进入90年代以后,这种趋势有所加快,其主要原因是冬季气温增高较快;年平均降水量在70年代中期以后呈下降趋势,进入90年代以后,减少趋势加快,主要是由于春、秋季降水减少较多所致。     

近50a开封市气候变化特征分析

利用开封市气象观测站1957-2007年的观测资料,分析了近50 a气候变化的特征,结果表明:开封市年平均气温呈上升趋势,春季气温呈波浪式平缓上升,夏季气温略有下降,秋季气温缓慢上升,冬季气温上升明显;年平均降水量变化趋势不明显,年际波动大,夏季降水呈上升趋势,冬春降水变化不明显,秋季降水下降明显;历年大风日数呈V型上升趋势,夏季上升明显,秋冬两季略有下降;年平均大雾日数呈明显上升趋势;年平均日照时数呈下降趋势,2000年后日照时数下降明显.     

天峨县近30a降水与气温的气候特征分析

对天峨县气象站1984-2013年降水量、年平均气温、季节降水、季节平均气温、月平均降水量、月平均气温、极端气温变化特征及不同年代降水、气温特征等进行统计分析。结果表明:天峨县近30a年际降水变化呈下降趋势,年际平均气温呈上升趋势,多年平均降水量为1339.3mm,多年平均气温为20.5℃。各季节、各月降水分布不均,气温呈明显的季节划分,夏季(6-8月)平均降水量最多,占全年平均降水量54%,冬季最少,占全年平均降水量5%,月平均降水量最高峰出现在6月;一年最热的月份是7月,极端最高气温变化不大,极端最低气温呈下降趋势。20世纪80年代中后期降水正常略少,90年代属于丰水期,进入21世纪后,降水量偏少,从20世纪80年代中后期一直到21世纪头十年气温呈上升趋势,第二个十年的头4年呈下降的趋势。     

商丘近40年气温变化特征

统计分析了商丘1961～2000年年平均气温,月平均气温,年平均最低、最高气温和月平均最低、最高气温变化,结果表明年平均气温呈上升趋势,年平均最低气温也呈上升趋势,而年平均最高气温却呈下降趋势,这种日夜气温变化的不对称性,使日较差呈变小趋势;商丘偏暖年集中在20世纪60年代初期和90年代,偏冷期集中在20世纪60年代末期到80年代;20世纪90年代商丘年平均气温增高是一突变现象.     

商丘近40年气温变化特征

统计分析了商丘1961—2000年年平均气温，月平均气温，年平均最低、最高气温和月平均最低、最高气温变化，结果表明：年平均气温呈上升趋势，年平均最低气温也呈上升趋势，而年平均最高气温却呈下降趋势，这种日夜气温变化的不对称性，使日较差呈变小趋势；商丘偏暖年集中在20世纪60年代初期和90年代，偏冷期集中在20世纪60年代末期到80年代；20世纪90年代商丘年平均气温增高是一突变现象。     

水城近50a气温变化特征分析

利用水城站1957-2006年的逐月平均气温、平均最高气温及平均最低气温资料,采用线性倾向估计对水城近50a季平均气温及年平均最高、最低气温的年际、年代际变化进行了统计分析。结果表明：近50a来水城年平均气温呈上升趋势,其线性倾向率为0．134℃／10a,春季气温距平近50a来却呈下降趋势,夏、秋、冬季气温呈上升趋势,上升趋势不一致,从各季节平均气温变化幅度来看,秋季最大,夏、冬次之,春季最小。50a来年平均最高气温、年平均最低气温均呈上升趋势。     

五莲县近45年气候变化特征分析

根据五莲县1961--2005年的气温与降水资料,利用回归分析方法,研究了近45年气温与降水的年、季变化倾向、阶段性等变化特征。发现：近45年五莲年平均气温有显著上升趋势,各季平均气温也呈上升趋势,且冬季气温增幅最大;而年降水量呈下降趋势,主要由夏季降水减少引起。     

临安近50年气温变化特征分析

根据临安1959-2007年近50年的气温序列资料,分析了临安各季节平均气温、年平均气温以及平均最高、最低气温变化特征;并用线性回归模型拟合出各季节和年际平均气温的线性回归方程。分析结果表明：年和春、秋、冬季的平均气温呈上升趋势,夏季呈下降趋势,平均最高、最低气温均呈上升趋势。利用ARIMA模型（差分自回归-移动平均模型）预测出未来10年的年、季平均气温变化趋势,其中年平均气温呈上升趋势,春、秋季呈上升趋势,夏季呈下降趋势,而冬季的气温则少有变化。     

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.     

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.     

IMPACT OF ATMOSPHERIC LOW-FREQUENCY OSCILLATION ON THE IMMIGRATION OF NILAPARVATA LUGENS(STL) IN HUNAN AND JIANGXI PROVINCES

Various features of the atmospheric environment affect the number of migratory insects, besides their initial population. However, little is known about the impact of atmospheric low-frequency oscillation(10 to 90 days) on insect migration. A case study was conducted to ascertain the influence of low-frequency atmospheric oscillation on the immigration of brown planthopper, Nilaparvata lugens(Stl), in Hunan and Jiangxi provinces. The results showed the following:(1) The number of immigrating N. lugens from April to June of 2007 through 2016 mainly exhibited a periodic oscillation of 10 to 20 days.(2) The 10-20 d low-frequency number of immigrating N. lugens was significantly correlated with a low-frequency wind field and a geopotential height field at 850 h Pa.(3) During the peak phase of immigration, southwest or south winds served as a driving force and carried N. lugens populations northward, and when in the back of the trough and the front of the ridge, the downward airflow created a favorable condition for N. lugens to land in the study area. In conclusion, the northward migration of N. lugens was influenced by a low-frequency atmospheric circulation based on the analysis of dynamics. This study was the first research connecting atmospheric low-frequency oscillation to insect migration.     

A COMPARATIVE ANALYSIS OF ATMOSPHERIC AND OCEANIC CONDITIONS BEFORE THE OCCURRENCE OF TWO TYPES OF EL NIO EVENTS

The atmospheric and oceanic conditions before the onset of EP El Ni?o and CP El Ni?o in nearly 30 years are compared and analyzed by using 850 hPa wind, 20℃ isotherm depth, sea surface temperature and the Wheeler and Hendon index. The results are as follows: In the western equatorial Pacific, the occurrence of the anomalously strong westerly winds of the EP El Ni?o is earlier than that of the CP El Ni?o. Its intensity is far stronger than that of the CP El Ni?o. Two months before the El Ni?o, the anomaly westerly winds of the EP El Ni?o have extended to the eastern Pacific region, while the westerly wind anomaly of the CP El Ni?o can only extend to the west of the dateline three months before the El Ni?o and later stay there. Unlike the EP El Ni?o, the CP El Ni?o is always associated with easterly wind anomaly in the eastern equatorial Pacific before its onset. The thermocline depth anomaly of the EP El Ni?o can significantly move eastward and deepen. In addition, we also find that the evolution of thermocline is ahead of the development of the sea surface temperature for the EP El Ni?o. The strong MJO activity of the EP El Ni?o in the western and central Pacific is earlier than that of the CP El Ni?o. Measured by the standard deviation of the zonal wind square, the intensity of MJO activity of the EP El Ni?o is significantly greater than that of the CP El Ni?o before the onset of El Ni?o.     

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