不同类型大尺度环流背景下强对流天气的短时临近预报预警研究   总被引：19，自引：6，他引：13  

郑媛媛  姚晨  郝莹  张雪晨 《气象》2011,37(7):795-801

利用常规气象资料、自动站资料、卫星资料、NCEP再分析资料,对2001—2010年安徽省强对流天气过程的物理机制、中尺度特征进行分析。结果表明：强对流天气其发生发展和一定的大尺度环流背景场有关,强对流发生的天气学条件即：丰富水汽、不稳定层结、抬升触发机制或强上升运动,强烈发展的强风暴常有逆温层、强的风垂直切变、中层干冷空气等有利条件。然而,这些条件在不同的大尺度环流背景下各要素的重要性不尽相同,产生的强对流天气类型也不相同。冷涡槽后类对流不稳定表现在中低层温度直减率大;风垂直切变强,风随高度强烈顺转,400～500 hPa有西风急流存在,且与强对流天气的发生区域紧密相关;存在明显的中尺度低压和辐合线、干线;主要造成雷雨大风和冰雹天气。槽前类通常对流不稳定能量较大,中低层有急流存在,风速水平切变和垂直切变大;快速东移的短波槽是触发强对流天气的主要机制;低层水汽条件较好;主要导致雷雨大风、短时强降水和龙卷天气。通过对不同类型大尺度环流背景下强对流天气各天气要素和物理量统计,提取环境场消空指标,明显提高了基于多普勒雷达反射率因子和平均径向速度的龙卷识别和预警水平。对比分析了2010年7月19—20日发生在副高边缘槽前类和在东北冷涡形势下的2009年6月3日、5日、14日在黄淮和江淮地区分别产生飑线并造成大范围雷雨大风、冰雹等强对流天气产生的物理机制、中尺度特征差异,提高对不同类型大尺度环流背景下强对流天气的短时、临近预报水平。  相似文献   

一次西南低涡暴雨过程的诊断分析与数值模拟   总被引：5，自引：4，他引：1       下载免费PDF全文

赵大军  江玉华  李莹 《高原气象》2011,30(5):1158-1169

利用常规观测资料、FY-2C卫星云图、NCEP/NCAR再分析资料,对一次西南低涡暴雨过程进行了诊断分析。结果表明,这次暴雨天气过程的主要影响系统有对流层高层南亚高压、中层低涡、低层切变线（低涡）以及台风＂天鹅＂。该过程是由3个接连发生的中尺度对流云团直接造成的,发生在西南低涡闭合涡旋范围内的非对称处。利用WRF_AR...  相似文献   

粤西北霜日的年际变化与大气环流异常的关系     

李丽  简茂球 《热带气象学报》2011,27(1):101-108

利用1964-2006年测站观测资料和NCEP/NCAR再分析资料分析了粤西北霜日的年际变化特征,及其与大气环流异常的联系.结果表明:粤西北的霜日主要集中于12月和1月;从1986年之后年霜日呈明显的递减趋势.并且粤西北的西部和南部线性递减较快;粤西北地区12月和1月霜日偏多、偏少年的大气环流异常特征相似;12月和1月...  相似文献   

山西高温天气的环流特征及流型配置研究     

苗爱梅  贾利冬  李苗  范光海 《山西气象》2011,(1):4-11

利用1958年-2008年高低空气象观测资料以及山西省气象信息中心归档的109站1958年-2008年的原始气象记录月报表及其信息化产品资料,分别以最高气温≥35℃、≥37℃、≥40℃为指标,研究山西高温日的时空分布、变化趋势及环流特征。结果表明：a）山西高温日最早出现在4月中旬,最晚出现在9月中旬,≥35℃、≥37℃和≥40℃的高温日6月下旬最多;b）高温日数有随纬度、随海拔的升高而减少,有西部多于东部、南部多于北部、盆地多于山区的空间分布特征。≥40℃的高温区域主要集中在运城和临汾地区;C）1984年-2008年,35℃以上的高温日数整体呈上升趋势;1979年-2008年,30年间高温站次以153站次,10a的趋势增多。20世纪90年代以后,不仅高温日数增多,而且高温持续时间、强度、范围都有增强趋势;d）影响山西高温的500hPa环流形势主要有副高纬向性、副高经向型以及大陆高压（脊）控制型3类。在特定的流型配置下,T850≥25℃、T700≥13℃,T850≥26℃、T700≥14℃,T850≥28℃、T700≥15℃,T850≥32℃、T700≥16℃是山西省不同区域、不同风向影响时,≥35℃、≥37℃、≥40℃高温天气预报的临界值。  相似文献   

２００２年海南一次非热带气旋暴雨成因分析     

吴春娃  赵付竹  王凡 《陕西气象》2011,(2):1-3

本文对2008年8月10日出现在北京首都机场的一次暴雨天气过程,从天气形势、物理量场、卫星产品、雷达资料等多方面进行了分析,结果表明,此次强降水发生在高空有利的环流背景下,锋面抬升、高低层温度差动平流、中层辐合、中低层风切变、中层暖干盖的存在以及副高的维持均为强降水的产生提供了有利条件。  相似文献   

Determination of onset date of the South China Sea summer monsoon in 2006 using large-scale circulations   总被引：1，自引：1，他引：0  

郑彬  林爱兰  谷德军  李春晖 《热带气象学报(英文版)》2011,17(3):202-208

Since the South China Sea (SCS) summer monsoon (SCSSM) is pronouncedly featured by abruptly intensified southwesterly and obviously increased precipitation over the SCS,the lower-tropospheric winds and/or convection intensities are widely used to determine the SCSSM onset.The methods can be used successfully in most of the years but not in 2006.Due to the intrusion of Typhoon Chanchu(0601)that year,the usual method of determining SCSSM onset date by utilizing the SCS regional indices is less capable of pinpointing the real onset date.In order to solve the problem,larger-scale situations have to be taken into account.Zonal and meridional circulations would be better to determine the break-out date of SCSSM in 2006.The result indicates that its onset date is May 16.Moreover,similar onset dates for other years can be obtained using various methods,implying that large-scale zonal and meridional circulations can be used as an alternative method for determining the SCSSM onset date.  相似文献   

登陆台风卡努(0515)内核区环流结构特征分析   总被引：6，自引：3，他引：3       下载免费PDF全文

魏超时  赵坤  余晖 《大气科学》2011,35(1):68-80

本文采用地基雷达轨迹显示技术(Ground Based Velocity Track Display,简称GBVTD)反演的雷达风场资料,分析台风卡努(0515)在登陆期间近中心环流结构特征.轴对称环流结构分析表明,登陆前卡努轴对称切向风速最大值出现在眼墙区域2 km高度附近,最大风速半径随高度向外倾斜.轴对称径向入流...  相似文献   

异质性农户土地流转的决定性因素与政策建议     

张淑萍 《地域研究与开发》2015,(4)

建立异质性农户土地流转行为的理论分析基础,利用Logistic回归分析方法和河南省调查数据,明确农户土地流转决策的影响因素。研究结果表明:农村信贷市场约束是纯农户、以农业收入为主的农户转入土地的需求不足的重要原因;规避就业风险和争夺土地租金是非农户和以非农业收入为主的农户转出土地的供给不足的主要原因;土地控制权偏好与生存预期造成中年、老年农户竭力排斥土地流转;农村土地流转不活跃的决定性因素是国家保护农业与有效管理兼业农户、非农户的责任缺位。  相似文献   

Evaluating the relationship between biomass,percent groundcover and remote sensing indices across six winter cover crop fields in Maryland,United States     

《International Journal of Applied Earth Observation and Geoinformation》2015

Winter cover crops are an essential part of managing nutrient and sediment losses from agricultural lands. Cover crops lessen sedimentation by reducing erosion, and the accumulation of nitrogen in aboveground biomass results in reduced nutrient runoff. Winter cover crops are planted in the fall and are usually terminated in early spring, making them susceptible to senescence, frost burn, and leaf yellowing due to wintertime conditions. This study sought to determine to what extent remote sensing indices are capable of accurately estimating the percent groundcover and biomass of winter cover crops, and to analyze under what critical ranges these relationships are strong and under which conditions they break down. Cover crop growth on six fields planted to barley, rye, ryegrass, triticale or wheat was measured over the 2012–2013 winter growing season. Data collection included spectral reflectance measurements, aboveground biomass, and percent groundcover. Ten vegetation indices were evaluated using surface reflectance data from a 16-band CROPSCAN sensor. Restricting analysis to sampling dates before the onset of prolonged freezing temperatures and leaf yellowing resulted in increased estimation accuracy. There was a strong relationship between the normalized difference vegetation index (NDVI) and percent groundcover (r² = 0.93) suggesting that date restrictions effectively eliminate yellowing vegetation from analysis. The triangular vegetation index (TVI) was most accurate in estimating high ranges of biomass (r² = 0.86), while NDVI did not experience a clustering of values in the low and medium biomass ranges but saturated in the higher range (>1500 kg/ha). The results of this study show that accounting for index saturation, senescence, and frost burn on leaves can greatly increase the accuracy of estimates of percent groundcover and biomass for winter cover crops.  相似文献   

Reducing background effects in orchards through spectral vegetation index correction     

《International Journal of Applied Earth Observation and Geoinformation》2015

Satellite remote sensing provides an alternative to time-consuming and labor intensive in situ measurements of biophysical variables in agricultural crops required for precision agriculture applications. In orchards, however, the spatial resolution causes mixtures of canopies and background (i.e. soil, grass and shadow), hampering the estimation of these biophysical variables. Furthermore, variable background mixtures obstruct meaningful comparisons between different orchard blocks, rows or within each row. Current correction methodologies use spectral differences between canopies and background, but struggle with a vegetated orchard floor. This background influence and the lack of a generic solution are addressed in this study.Firstly, the problem was demonstrated in a controlled environment for vegetation indices sensitive to chlorophyll content, water content and leaf area index. Afterwards, traditional background correction methods (i.e. soil-adjusted vegetation indices and signal unmixing) were compared to the proposed vegetation index correction. This correction was based on the mixing degree of each pixel (i.e. tree cover fraction) to rescale the vegetation indices accordingly and was applied to synthetic and WorldView-2 satellite imagery. Through the correction, the effect of background admixture for vegetation indices was reduced, and the estimation of biophysical variables was improved (ΔR² = 0.2–0.31).  相似文献