台风“桑美”的数值模拟和地形敏感性试验

用WRF模式对0608号台风“桑美”进行了数值模拟研究,较为成功地模拟出了台风路径和降水,但模拟的台风中心气压远高于实况。为研究“桑美”登陆期间地形的抬升作用对其降水及结构的影响,通过改变特定区域内的地形高度设计了一组敏感性试验。结果表明,台风登陆过程中地形抬升作用对台风降雨量有显著的增幅作用;台风中心位势涡度、气流垂直上升速度、水平水汽通量散度明显增大;地形抬升机制在台风登陆时刻达到最强。     

次网格地形动力效应参数化及其对降水模拟效果的影响

地形对气流的动力抬升作用是地形降水的重要产生机制之一, 为了在模式中考虑地形对气流的动力抬升作用, 改进模式对复杂地形区域的降水模拟效果, 本文提出了一个次网格地形动力效应参数化方案.在模式中首先利用高分辨率的地形高度资料计算出次网格格点处的地形坡度、坡向, 这些微观地形参数可以较为精细地描述次网格尺度地形信息;然后再根据地面气压与地形对气流动力抬升作用的关系, 对地面气压倾向进行次网格修正;最后利用 p-σ区域气候模式进行了三个数值试验, 检验该方案对模式模拟降水能力的影响.结果表明, 次网格地形动力效应参数化方案的引入, 对中国区域的降水模拟有明显改进, 尤其对冬、春季的降水模拟, 无论是分布范围还是中心最大强度都与实况比较接近.     

背风坡流场和浓度场的数值模拟

本文利用数值积分方法求解二维山地地形大气热力-动力学方程组以及扩散方程。模拟了山地背风坡的流场情况.作为应用,模拟了背风坡不同位置上的排放源在不同的大气稳定度条件下浓度场的分布情况,通过浓度场的垂直扩散方差σ_z~2和实测资料的比较表明:本模式能够反映不同地形和不同天气条件下的污染物质输送及扩散状况,因而有可能成为解决复杂地形上污染扩散的实用方法.     

分层气流条件下地形降水的二维理想数值试验

利用WRF v3.5中尺度数值模式,在条件不稳定层结下,针对分层气流(基本气流风速和大气湿浮力频率呈二层均匀分布)过山时,地形对降水的影响进行了多组二维理想数值试验,以研究不同高度、尺度山脉和不同方向基本气流对降水形态和分布的影响。模拟结果表明,地形重力波触发对流是地形降水的主要机制之一,地形波的特征(波长、振幅)和传播均受到地形和基本气流的影响,其中,强基本气流流经高而陡峭的山脉时,更容易在其背风坡捕捉到重力波,地形降水呈现多种模态,反之亦然;当改变基本气流与山脉交角时,主要通过影响地形强迫抬升速度、基流对波动稳定性发展来进一步影响地形降水的强度和分布。     

郑州“7·20”极端降水地形影响数值试验

针对2021年7月20日发生于河南省郑州市的极端暴雨事件,利用数值模式对此次暴雨过程中的地形影响问题进行了数值试验分析。结果发现,CMA-MESO(GRAPES-MESO 3 km)模式能够较好地模拟此次极端降水过程。地形对降水具有显著影响,地形高度降低时,降水中心强度减弱,位置偏北;地形高度增加时,降水中心强度增加,位置偏南。其主要影响机制为：(1)太行山与郑州市西侧山体抬升作用使郑州市西部出现较强的上升运动中心;太行山南端阻挡作用使东南暖湿气流北支一部分气流向西偏转,与越过伏牛山的偏南气流及东南气流南支汇合,使郑州市上空维持大尺度水汽辐合,进而产生极端暴雨。(2)当地形高度增加时,东南气流北支的部分气流遇太行山阻挡转为偏东北气流,气流辐合区强度增强,郑州市上空水汽含量明显增加;而东南气流南支受伏牛山阻挡抬升作用影响在郑州市西南侧也产生了强上升气流,在郑州市西北侧与西南侧形成两个强降水中心。     

一次黄沙输送过程的数值模拟研究

运用MM4中尺度动力学模式结合沙尘气溶胶传输模式,模拟分析了1992年4月10日发生的一次沙尘暴天气及沙尘气溶胶（黄沙）输送过程。得出蒙古气旋冷锋后的大风是沙尘扬起的主要动力,地形抬升、白天混合层内的湍流扩散和锋区强烈的上升气流将沙尘输送到高层。沙尘气溶胶的水平输送主要通过对流层下层和上层两层向下游输送。低层沙尘随冷锋一起向下游输送,移速较慢;高层沙尘主要通过西风气流迅速输送到下游区域。     

台风移动规律的研究 Ⅱ．小地形与边界层的动力作用

从支配台风中心移动的基本方程出发，着重分析了小地形（地形高度与台风系统的垂直厚度相比为小量）的抬升作用和边界层的摩擦作用对台风移动影响的定性特征。结果表明，较高地势对台风有“吸引”作用；边界层摩擦辐合引起的艾克曼抽吸有利于台风产生沿局地流场引导速度方向的加速度。     

地形对台风Megi(2010)过岛阶段路径偏折影响的数值研究

采用谱逼近方法减小大尺度环境场模拟偏差,通过地形敏感性试验,研究吕宋岛山脉地形高度对台风Megi(2010)过岛阶段路径偏折的影响。模拟试验表明,谱逼近700 hPa高度层以上天气尺度风场分量的数值试验不仅能够反映大尺度环流对台风路径的引导作用,同时保留了中低层环流对地形影响的响应,较为准确地反映了Megi靠近和登陆吕宋岛过程中的持续南压过程,以及离开吕宋岛后的突然北折过程。在此模拟基础上,通过对地形高度敏感性试验结果诊断和影响区域空气质点进行后向轨迹分析,表明在台风向山脉靠近过程中,台风外围和内核环流均受地形影响,迎风坡存在明显气流辐合,有利于台风流场与南北向山脉之间出现北风急流和轨迹汇聚带,从而产生狭管效应,造成台风移动路径南折;而台风过山后,不仅受到地形次生低压涡旋的吸引,其东侧同样出现以南风急流和轨迹汇聚为特征的狭管效应,有利于台风路径向北偏折。     

三维非静力E—ε闭合模式对山体流场及浓度分布的模拟

本文采用三维非静力E-ε闭合模式,在对流层边界层方程组中,加入湍能和耗散率方程描述边界层中的湍流运动。求解孤立三维山地地形上的流场、湍流场和浓度场,并分析地形对气流的影响及对污染物浓度分布的影响。同时做了不同坡度和不同风速下的孤立三维山体的流场、湍流场和浓度场比较。数值计算结果表明,地形能改变气流运动,气流过山时将出现分支现象,山后背坡有反向回流出现,并且回流区大小随着山体坡度的增大而增大。山体对气流的阻挡作用随山体高度的增加而更明显,随风速的增加而减弱。湍能及耗散率随高度衰减较快。随着山体坡度增加,山前气流的垂直速度也增加,湍流运动更强。风速大时湍流运动越显著。污染物在山前出现辐散,迎风坡是浓度高值区,山后背风坡也是相对高值区。山坡度越大,山前迎风坡污物浓度越高。     

太行山对北京“7.21”特大暴雨的影响及水汽敏感性分析的数值研究

运用GRAPES_Meso模式对2012年7月21—22日发生在北京地区附近的特大暴雨过程进行数值模拟和地形、水汽的敏感性试验。地形敏感性试验发现,在这次特大暴雨过程中,由于太行山北端的阻挡作用,使得气流和水汽辐合、抬升,加强了对流过程;对流层低层山前东南风和西南风、北风的辐合带增大了气旋性涡度,使东移到北京的低涡稳定维持5 h左右,对降水有明显的增幅作用;而且地形起伏和地形海拔高度对降水都有明显增幅作用,地形起伏的增幅作用较地形高度的大。水汽敏感性试验发现在这次特大暴雨过程中,水汽条件较小的变化,会导致水汽输送的明显差异,从而导致降水量显著地改变。     

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.     

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.     

VARIABILITY OF INTER-ANNUAL RELATIONSHIP BETWEEN INDIAN OCEAN DIPOLE AND HUAXI REGION’S AUTUMN PRECIPITATION

The moving-window correlation analysis was applied to investigate the relationship between autumn Indian Ocean Dipole (IOD) events and the synchronous autumn precipitation in Huaxi region, based on the daily precipitation, sea surface temperature (SST) and atmospheric circulation data from 1960 to 2012. The correlation curves of IOD and the early modulation of Huaxi region’s autumn precipitation indicated a mutational site appeared in the 1970s. During 1960 to 1979, when the IOD was in positive phase in autumn, the circulations changed from a “W” shape to an ”M” shape at 500 hPa in Asia middle-high latitude region. Cold flux got into the Sichuan province with Northwest flow, the positive anomaly of the water vapor flux transported from Western Pacific to Huaxi region strengthened, caused precipitation increase in east Huaxi region. During 1980 to 1999, when the IOD in autumn was positive phase, the atmospheric circulation presented a “W” shape at 500 hPa, the positive anomaly of the water vapor flux transported from Bay of Bengal to Huaxi region strengthened, caused precipitation ascend in west Huaxi region. In summary, the Indian Ocean changed from cold phase to warm phase since the 1970s, caused the instability of the inter-annual relationship between the IOD and the autumn rainfall in Huaxi 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