混合模型中的层三角变换估计

提出了有着广泛应用的混合线性模型中参数估计的一种新方法,称层三角变换估计。将该变换用于检验和估计中,将产生一束套用于全面分析混合线模型的计算过程,这些过程在计算是稳定的,而且节省空间。     

青藏高原臭氧的ENSO

通过对臭氧卫星观测资料及大气环流资料的分析，研究了青藏高原上空臭氧年际变化中的 ＥＮＳＯ信号，并与同纬度无山区及赤道地区进行比较。研究指出：在 Ｅ１ Ｎｉｎｏ年（ＳＯＩ指数为负）青藏高原臭氧总量增加，在 Ｌａ Ｎｉｎａ年（ＳＯＩ指数为正）青藏高原臭氧总量减小。本文同时讨论了与ＥＮＳＯ事件有关的大气环流物质输送。     

Forecasting Monsoon Precipitation Using Artificial Neural Networks

This paper explores the application of Artificial Intelligent (AI) techniques for climate forecast. It pres ents a study on modelling the monsoon precipitation forecast by means of Artificial Neural Networks (ANNs). Using the historical data of the total amount of summer rainfall over the Delta Area of Yangtze River in China, three ANNs models have been developed to forecast the monsoon precipitation in the corre sponding area one year, five-year, and ten-year forward respectively. Performances of the models have been validated using a ＇new＇ data set that has not been exposed to the models during the processes of model development and test. The experiment results are promising, indicating that the proposed ANNs models have good quality in terms of the accuracy, stability and generalisation ability.     

基于SVD和修正Z指数的汛期旱涝预测及其应用

利用奇异值分解(SVD)方法、500hPa高度场、太平洋海温场和降水资料,建立起汛期降水的预测方程;经过适应本地化的Z指数修正,将预测结果转化为旱涝等级;将SVD技术与修正的Z指数结合起来,实现旱涝的气候预测;将研究成果推广应用到气象、防汛抗旱部门。结果表明:1)影响江淮分水岭地区汛期降水的因子有5个,分别是太平洋地区2个,印度半岛附近2个,欧洲地区1个;2)理论上的Z指数等级不符合江淮分水岭地区的实际状况,因而必须对Z指数进行修正。经过修正后的各个旱涝等级的划分概率较为合理,说明Z指数的5级指标是可靠的;3)利用5个影响因子可以建立汛期降水量与影响因子之间的预报方程,在共计8年的旱涝滚动预测和实况检验中,等级相符的有7年,只有2003年的预测试验相差一个等级,5级的预测准确率达到87.5%;4)经过气象、防汛抗旱部门2008年的应用,旱涝等级的预测意见和实际基本吻合,说明预测技术的应用情况良好。     

安溪雷暴24h潜势预报模型研究

利用安溪县国家气象站2004年至2015年的雷暴观测资料,分析了安溪县雷暴的气候特征及环境背景分类。并根据雷暴活动特征及雷暴天气产生的环境场条件,诊断和分析T639数值模式输出产品与雷暴观测资料的相关性,对41个相关因子做显著性检验,挑选相关性较好的9个因子做分析。对9个预报因子进行0,1化处理并进行逐步回归,最后选取850hPa垂直速度、850hpa假相当位温、700hPa温度、K指数、850hPa比湿等5个因子,建立雷暴潜势预报方程。利用2015年至2017年T639模式资料进行回代分析评估,发现当雷暴概率预报Y值>0.6时,雷暴预报准确率最高,达85.60%,且漏报率、空报率很低。再以2018年T639数值模式资料对雷暴潜势概率进行计算评估,准确率为83.84%,漏报率为5.75%,空报率为10.41%。由此可见,基于T639数值产品的雷暴潜势方程可以为安溪县雷暴天气的预警预报和防雷减灾服务提供客观的参考和依据。     

EFFECTS OF VERTICAL WIND SHEAR ON INTENSITY AND STRUCTURE OF TROPICAL CYCLONE

In this study,the effect of vertical wind shear(VWS)on the intensification of tropical cyclone(TC)is investigated via the numerical simulations.Results indicate that weak shear tends to facilitate the development of TC while strong shear appears to inhibit the intensification of TC.As the VWS is imposed on the TC,the vortex of the cyclone tends to tilt vertically and significantly in the upper troposphere.Consequently,the upward motion is considerably enhanced in the downshear side of the storm center and correspondingly,the low-to mid-level potential temperature decreases under the effect of adiabatic cooling,which leads to the increase of the low-to mid-level static instability and relative humidity and then facilitates the burst of convection.In the case of weak shear,the vertical tilting of the vortex is weak and the increase of ascent,static instability and relative humidity occur in the area close to the TC center.Therefore,active convection happens in the TC center region and facilitates the enhancement of vorticity in the inner core region and then the intensification of TC.In contrast,due to strong VWS,the increase of the ascent,static instability and relative humidity induced by the vertical tilting mainly appear in the outer region of TC in the case with stronger shear,and the convection in the inner-core area of TC is rather weak and convective activity mainly happens in the outer-region of the TC.Therefore,the development of a warm core is inhibited and then the intensification of TC is delayed.Different from previous numerical results obtained by imposing VWS suddenly to a strong TC,the simulation performed in this work shows that,even when the VWS is as strong as 12 m s-1,the tropical storm can still experience rapid intensification and finally develop into a strong tropical cyclone after a relatively long period of adjustment.It is found that the convection plays an important role in the adjusting period.On one hand,the convection leads to the horizontal convergence of the low-level vorticity flux and therefore leads to the enhancement of the low-level vorticity in the inner-core area of the cyclone.On the other hand,the active ascent accompanying the convection tends to transport the low-level vorticity to the middle levels.The enhanced vorticity in the lower to middle troposphere strengths the interaction between the low-and mid-level cyclonical circulation and the upper-level circulation deviated from the storm center under the effect of VWS.As a result,the vertical tilting of the vortex is considerably decreased,and then the cyclone starts to develop rapidly.     

拉萨紫外辐射特征分析及估算公式的建立

本文利用2005~2010年的辐射观测资料对拉萨地区紫外辐射的时间变化特征及紫外辐射与总辐射比值的变化特征进行了分析,结果表明,紫外辐射与太阳总辐射的变化规律基本一致,日变化表现为正午大、早晚小;季变化特征是夏季6月最大,冬季1月最小.紫外辐射日累积值6年平均为0.87 MJ·m-2·d-1;紫外辐射有逐年递减的趋势.紫外辐射与总辐射比值也存在着明显日变化,表现为正午大、早晚小的规律;其季节变化也是夏季最大,冬季最小.紫外辐射与总辐射比值6年平均为0.0418;紫外辐射与总辐射比值也呈现逐年递减的趋势.利用2010年大气质量数和晴空指数,建立了适合于拉萨紫外辐射估量的公式,估算值的瞬时值与观测值的平均相对误差最大为8.66%,紫外辐射日累积重构值与观测值平均相对误差仅为5.5%.     

Decreasing trend of sunshine hours and related driving forces in Southwestern China

Total hours of sunshine are one of the most important factors affecting climate and environment, and its long-term variation is of much concern in climate studies. Trends of temporal and spatial patterns in sunshine hours and related climatic factors over southwestern China are evaluated for the period 1961–2009 based on data from 111 standard meteorological stations. The results showed that southwestern China is experiencing a statistical decrease of sunshine hours, at the rate of 31.9 h/10a during 1961–2009. The decline was particularly strong in summer, whereas it is nonsignificant in winter. Spatially, statistically significant decreases of sunshine hours mainly occurred in lower altitude regions, especially in the Sichuan basin and Guizhou plateau. Sunshine hours have a high correlation with wind speed, relative humidity, precipitation, cloud cover, surface downwards solar radiation flux, and cloud water content, with wind speed showing the strongest relationship to sunshine hours, implicit in the close correlation (temporally and spatially) between the two variables. Changing water vapor and cloud cover influence sunshine hours in southwestern China. In addition, the increased surface downwards solar radiation flux also made some contribution to a rise of sunshine hours during 1991–2009. The larger decreasing trends of sunshine hours at urban stations than rural stations may reflect the effect of urbanization on sunshine hours. Variations are dominated by the comprehensive functions of multiple factors owing to the complex nature of effects on sunshine hours.     

Temperature reconstruction from tree-ring maximum latewood density of Qinghai spruce in middle Hexi Corridor, China

Seven different tree-ring parameters (tree-ring width, earlywood width, latewood width, maximum density, minimum density, mean earlywood density, and mean latewood density) were obtained from Qinghai spruce (Picea crassifolia) at one chronology site in the Hexi Corridor, China. The chronologies were analyzed individually and then compared with each other. Growth–climate response analyses showed that the tree-ring width and maximum latewood density (MXD) are mainly influenced by warm season temperature variability. Based on the relationships derived from the climate response analysis, the MXD chronology was used to reconstruct the May–August maximum temperature for the period 1775–2008 A.D., and it explained the 38.1% of the total temperature variance. It shows cooling in the late 1700s to early 1800s and warming in the twentieth century. Spatial climate correlation analyses with gridded land surface data revealed that our warm season temperature reconstruction contains a strong large-scale temperature signal for north China. Comparison with regional and Northern Hemisphere reconstructions revealed similar low-frequency change to longer-term variability. Several cold years coincide with major volcanic eruptions.     

2009年“莫拉克”台风登陆过程阵风特征分析

利用上海台风研究所移动观测车获取的“莫拉克”台风登陆过程中超声风、温等观测资料对地面阵风特性进行了诊断分析.结果表明,在风速时间序列中叠加有周期为3-7 min的阵风扰动,显现出明显的相干结构,即沿顺风方向阵风风速峰期有下沉运动,谷期有上升运动;阵风扰动的各向异性特征明显,沿顺风方向的阵风扰动能量最大,其次是沿侧向和垂直方向的扰动能量;沿顺风方向的阵风垂直动量通量向下传播,而沿侧风方向阵风扰动动量垂直通量总体贡献接近于0.阵风扰动沿顺风方向的积分空间尺度和时间尺度最大,沿侧风方向和垂直方向其次,均明显大于湍流的积分空间和时间尺度.此外,阵风扰动的其他特征还包括:感热垂直通量极小;当平均风速较大时阵风风向变化幅度较小,而风速较小时阵风风向变化幅度则较大;动力学分析表明,阵风扰动主要表现出重力内波的一些特性.