Representations of inverse covariances by differential operators

In the cost function of three- or four-dimensional variational data assimilation, each term is weighted by the inverse of its associated error covariance matrix and the background error covariance matrix is usually much larger than the other covariance matrices. Although the background error covariances are traditionally normalized and parameterized by simple smooth homogeneous correlation functions, the covariance matrices constructed from these correlation functions are often too large to be inverted or even manipulated. It is thus desirable to find direct representations of the inverses of background error correlations. This problem is studied in this paper. In particular, it is shown that the background term can be written into f dx|Dv(x)|^2, that is, a squared L2 norm of a vector differential operator D, called the D-operator, applied to the field of analysis increment v(x). For autoregressive correlation functions, the D-operators are of finite orders. For Gaussian correlation functions, the D-operators are of infinite order. For practical applications, the Gaussian D-operators must be truncated to finite orders. The truncation errors are found to be small even when the Gaussian D-operators are truncated to low orders. With a truncated D-operator, the background term can be easily constructed with neither inversion nor direct calculation of the covariance matrix. D-operators are also derived for non-Gaussian correlations and transformed into non-isotropic forms.     

车载X波段双线偏振多普勒天气雷达及其数据处理系统

文章介绍了车载X波段双线偏振多普勒天气雷达及其数据处理系统,并对其资料质量和应用问题进行了分析和讨论。该雷达采用的单发双收的工作机制,实现对Z_H、Z_(DR)、Φ_(DP)、K_(DP)、ρ_(HV)(0)以及L_(DR)等参数的探测。这些信息反映了云和降水粒子的范围、大小和运动变化等特征,是研究云和降水特别是灾害性天气的形成机制及其物理过程变化的有效工具。基于该雷达的数据处理系统是在利用这些测量参数的基础上,可以实现降水处理和降水粒子相态识别功能,为用户提供有效的气象服务。     

备用分钟数据读取程序浅析

从逐分钟地面数据文件中读取正点前10分钟内任一分钟的分钟数据进行备用,以备在临近正点时自动气象站计算机系统出现故障的情况下作为电话口传报文之用,保证正点数据的及时有效传输,避免逾限报的发生。     

中国大陆卫星反演云参数的评估

该文选取１９８３年７月和１９８４年１月份代表夏季和冬季，利用中国地面气象月报的云量资料以及多年平均的地面观测云气修资料，与中国大陆地区ＩＳＣＣＰ卫星反演的去量和云状资料进行了对比分析。参照大气环流和云天气气候特征，从卫星得到的从云状是比较合理的，但干旱沙漠地区的高云量的估计不足，低云估计偏多。     

乌鲁木齐国际机场一次强东南大风天气分析

对乌鲁木齐国际机场2003年11月12日出现的强东南大风天气过程,利用常规天气资料和机场跑道自动观测系统(AWOS)采集的实时观测资料,对机场东南大风天气形势、机场跑道附近气象要素和水平风切变演变特征、高空风垂直分布特征等方面进行了分析,给出了东南大风的成因。     

内蒙古高温酷暑天气的气候学特征和环流类型

利用1971—2008年内蒙古117个观测站日最高气温资料,结合同期的NCEP再分析资料,分析了内蒙古高温酷暑天气的气候学特征。结果表明:内蒙古高温酷暑天气地域差异大,高温中心在阿拉善盟沙漠地区的拐子湖,年平均35℃高温日数达32天,也是全国的高温区之一;内蒙古的高温天气年日数有增长趋势,高温酷暑的影响在增强;内蒙古高温酷暑集中出现在盛夏季节6—8月,7月发生最多,占一半以上;最高气温出现在每日的14—17时,气温日较差大,多为干热天气。通过对内蒙古较大范围的64次高温天气过程分析总结,将内蒙古高温酷暑天气分为蒙古暖脊型、贝加尔湖高压坝型、副高西进型、乌拉尔山高脊型4个类型。大陆暖高压脊的强烈发展和维持与内蒙古高温酷暑天气密切相关。     

Assimilation of Polarimetric Radar Data Using an Ensemble Kalman Filter for the Analysis and Forecast of Tropical Storm Ewiniar

This study explores the potential for directly assimilating polarimetric radar data (including reflectivity Z and differential reflectivity ZDR) using an ensemble Kalman filter (EnKF) based on the Weather Research and Forecasting (WRF) model to improve analysis and forecast of Tropical Storm Ewiniar (2018). Ewiniar weakened but brought about heavy rainfall over Guangdong, China after its final landfall. Two experiments are performed, one assimilating only Z and the other assimilating both Z and ZDR. Assimilation of ZDR together with Z effectively modifies hydrometeor fields, and improves the intensity, shape and position of rainbands. Forecast of 24-hour extraordinary rainfall ≥250 mm is significantly improved. Improvement can also be seen in the wind fields because of cross-variable covariance. The current study shows the possibility of applying polarimetric radar data to improve forecasting of tropical cyclones, which deserves more researches in the future.     

青藏高原四季划分方法探讨

利用中国气象局国家气象信息中心提供的青藏高原60个测站1961~2007年逐日气温资料,分析常用的四季划分方法在高原的适用性,指出各种四季划分方法的不足和局限,并根据四季持续时间的合理性、物候特征、海拔高度、气候（温度）分布特征等因素提出了针对不同的生产、生活目的而建立的新四季划分方法。探讨认为：（1）根据高原物候特征和气温相结合的方式得到的＂物候四季划分方法＂即＂4℃-12℃-10℃-1℃＂对高原农牧业尤为适合;（2）＂海拔季节划分方法＂对高原旅游和人们衣着尤为适合,海拔季节划分方法把高原分成二个区：海拔4000m以上四季划分方法为＂5℃-12℃-12℃-5℃＂,4000m以下四季划分方法为＂5℃-15℃-15℃-5℃;＂（3）＂生活季节划分方法＂对高原不同区域的生产生活尤为适合,生活季节划分方法将高原分为三个区：Ⅰ区四季划分方法为＂6℃-16℃-16℃-6℃＂,Ⅱ区四季划分方法为＂5℃-12℃-12℃-5℃＂,Ⅲ区四季划分方法＂7℃-7℃＂划分春冬和秋冬,不存在夏季。最后,综合以上各种方法的优缺点,初步定义＂高原普适季节划分方法＂即＂5℃-15℃-15℃-5℃＂为高原总体的四季划分方法,对高原整体的国民经济和政府活动、旅游、人们的衣着、生活生产、季节类产品的销售具有总体的指导意义。     

利用伴随法反演风应力系数

基于无结构网格有限体积法的正模型和伴随数据同化模型,建立了风应力系数反演表达式,将风应力系数的确定变成依赖于区域内观测值的数值迭代过程,实现了风应力系数确定的自动化,并成功进行了概化河口一系列风应力系数反演的伴随同化实验,反演得到的结果精度较高,实验结果表明：1）伴随法反演风应力系数是合理可行的;2）充分的观测数据能够提高反演的精度;3）风速在10 m/s或15 m/s的情况下,对于风应力系数反演的结果影响不大。     

A New Nonparametric Discriminant Analysis Algorithm Accounting for Bounded Data Errors

In a statistical pattern recognition context, discriminant analysis is designed to classify, when possible, objects into predefined categories. Because this method requires precise input data, uncertainties cannot be propagated in the classifying process. In real case studies, this could lead to drastic misinterpretations of objects. A new nonparametric algorithm based on interval arithmetic has thus been developed to propagate interval-form data. They consist in calculating interval conditional probability density functions and interval posterior probabilities. Objects are eventually assigned to a subset of classes, consistent with the data and their uncertainties. The classifying model is thus less precise, but more realistic than the standard one, which we prove on a real case study.