一次寒潮背景下降水相态变化特征分析   总被引：3，自引：0，他引：3  

邵宇翔  李周 《气象与环境科学》2016,39(1):89-95

利用常规气象观测资料和NCEP再分析资料,对2013年4月18日到20日河南出现的一次区域性寒潮天气过程的环流背景、影响系统及寒潮期间降水多相态转换的成因进行了分析。结果表明:本次寒潮过程属于横槽转竖型,冷锋迅速南下,导致寒潮暴发;此次寒潮天气的大气温度层结存在逆温层结构特征,温度廓线的变化会导致降水相态发生变化;受低层冷空气持续影响,暖层强度即融化层遭到一定程度的破坏或消失,冷层即冻结层强度增强,0℃层高度下降,以致降水相态发生相应的改变;降水相态的变化与暖层温度及0℃层高度密切相关。根据本次寒潮过程中NCEP再分析数据得到:当降水相态为雨时,暖层温度≥2℃,0℃层高度≤975 h Pa;当降水相态为雪时,暖层温度≤-1℃,0℃层高度≌1000 h Pa;当降水相态为冰粒时,2℃≥暖层温度≥-1℃,1000 h Pa≥0℃层高度≥975 h Pa。  相似文献   

FDR土壤水分传感器原状土壤标定方法研究     

王黎明  张雪芬  周旭辉  王建波  陈晨  王爱珍 《气象科技》2016,44(3):347-353

为获得测站准确的土壤水分传感器标定参数,利用自动土壤水分站点的大型原状土壤为样本,在实验室同时进行人工称重观测和仪器自动对比观测,得到一系列的人工自动测量数据,以人工称重数据为准对自动土壤水分传感器进行订正。由于采用原状土壤,样本土壤的质地、密度、土壤颗粒和结合紧密度基本没有受到破坏,订正后的自动土壤体积含水量值能更加真实反映台站实际土壤墒情,能够修订人工对比观测期间由于样本空间不足导致的不合理的田间标定方程。  相似文献   

基于外弹道计算的人影高炮作业安全评估方法     

黎祖贤  刘红武  廖俊  张中波  周盛 《气象科技》2016,44(1):152-156

随着经济的高速发展,各个高炮作业点所在地的周边环境已经发生了很大变化,为了进一步提高人工影响天气作业的安全性,针对高炮作业特点提出了一套安全论证方法。推导了弹道计算的方法,在此基础上结合安全射界法和地理信息系统对作业安全性进行了更精确的评估,并给出实例说明。提出用危险系数的方法进行安全性评估,给出了具体的危险系数定义方法,通过评估系统的一次实际作业评估证明了危险系数进行安全性评估的可行性。以该方法进行安全性评估可有效保障人影作业的安全性,为人影作业提供重要的参考。  相似文献   

浙江省雷击跳闸数据与闪电定位数据统计分析     

张祎  姜瑜君  童杭伟  李浩 《气象科技》2016,44(3):505-509

利用浙江省电力部门雷击跳闸数据、浙江省气象局闪电定位数据,统计分析了2007—2011年电力雷击跳闸事故与地闪数据之间的时空分布特点、雷击跳闸事故与地闪参数及距离之间的关系。结果表明:电力雷击跳闸事故与地闪数据的日分布和月分布均为单峰结构,相关系数分别为0.9905和0.9881;空间分布虽有一定对应,但并非显著相关;导致110kV、220kV及500kV输电线路雷击跳闸的地闪强度主要集中在90kA以下,并且500kV输电线路雷击跳闸对应的电流强度相对较小;地闪与雷击跳闸事故杆塔距离、地闪与雷击跳闸杆塔对应输电线路的距离均主要集中在2km以下。  相似文献   

FDR自动土壤水分数据标定问题及解决方法   总被引：4，自引：0，他引：4  

周旭辉  王黎明  王建波  陈晨  王爱珍  刘焕乾  廖华 《气象科技》2016,44(4):535-541

针对目前FDR自动土壤水分数据可用性低的实际情况,本文从FDR自动土壤水分站传感器原理出发,结合数据处理流程与方法对湖南60个站点不同层次的标定参数及部分站点的相关观测数据进行了分析,指出目前田间标定法在自然条件下几乎无法得到覆盖土壤各个湿度区间的均匀样本数据,导致二次标定参数不合理是造成FDR自动土壤水分站数据可用性差的根本原因。二次标定方程参数不合理主要表现为方程斜率过大、过小、负值3种情况,导致观测数据增幅过大、常年不变、与实际土壤湿度变化趋势完全相反等问题。最后针对该问题提出了大样本原状取土,实验室标定的解决方法,并对方法进行了初步验证,结果表明该方法能从源头上有效改善土壤水分站观测数据质量。  相似文献   

2012/2013年冬季中国气温异常成因分析   总被引：1，自引：0，他引：1       下载免费PDF全文

谭晶  蔡怡  张海东  李熠  潘丰 《大气科学学报》2016,39(3):361-369

2012/2013年冬季,我国平均气温为-3.8℃,较常年同期(-3.4℃)偏低0.4℃,就空间分布来看,我国东北、华北、黄淮、江淮和新疆北部气温较常年同期偏低。利用1951-2013年国家气候中心整理的全国160站月平均气温资料、英国Hadley中心全球海温资料、NCEP/NCAR再分析大气环流资料、德国不莱梅大学提供的海冰卫星遥感资料,通过EOF分析、回归分析、合成分析、相关分析方法研究了引起2012/2013年冬季我国气温异常的东亚中高纬大气环流异常,并从海洋环境要素异常的角度分析造成这种环流异常的原因。分析结果表明:2012/2013年冬季我国气温异常分布主要是由于北极涛动(AO,Arctic Oscillation)呈负位相,西伯利亚地区高度场异常偏高,东亚大槽明显偏深的环流形式引起的。而太平洋年代际振荡(PDO,Pacific Decadal Oscillation)负位相是引起西伯利亚高压强度偏强和东亚冬季风强度偏强的年代际海洋背景,前期9月海冰范围异常偏小是导致2012/2013年冬季AO呈现负位相及我国东北和新疆北部呈现异常低温的主要原因。  相似文献   

Influence of coastal wind on surface ozone and nitrogen oxides in suburban Shanghai     

Wenpo Shan  Peng Yang  Haixia Lu  Kefeng Ma  Zhixin Huang 《Asia-Pacific Journal of Atmospheric Sciences》2016,52(5):451-458

Surface ozone, NO, NO₂, and NO _x were measured at a coastal site (Shihua) and a nearby inland site (Zhujing) in suburban Shanghai for the whole year of 2009. More days with ozone pollution in a longer time range were observed at the coastal site than the inland site. The diurnal variations of NO _x concentrations were obviously higher at Zhujing station, while those of ozone concentrations were higher at Shihua station, indicating their different air pollution conditions. Coastal wind has significant influence on the levels and characteristics of the air pollutants. The ozone concentrations during maritime winds (MW) were much higher than those during continental winds (CW) at each of the site, while the NO and NO₂ concentrations were both opposite. The ozone concentrations at Shihua station were much higher than those at Zhujing station, while the NO and NO₂ concentrations were both opposite. The ozone concentrations at both of the two sites showed a distinct “weekend effects” and “weekdays effects” patterns during CW and MW, respectively. Correlation analysis of the pollutants showed that, the compounds during MW were more age than those during CW, and the compounds at Shihua were more age than those at Zhujing. The air pollutions at both of the two sites are mainly associated with the pollutants emitted in this region instead of long range transport.  相似文献   

Erratum to: Climate change projections over India by a downscaling approach using PRECIS     

Prasanta Kumar Bal  Andimuthu Ramachandran  Kandasamy Palanivelu  Perumal Thirumurugan  Rajadurai Geetha  Balakrishnan Bhaskaran 《Asia-Pacific Journal of Atmospheric Sciences》2016,52(5):519-519

The author “Bhaski Bhaskaran” and his affiliation “Fujitsu Laboratory of Europe, Middlesex, UK” should be replaced by “Balakrishnan Bhaskaran”, “Fujitsu Laboratories of Europe Limited, Hayes Park, Middlesex, UK”, respectively.The corrected name and affiliation are shown in this erratum.  相似文献   

Comparison of prediction performance using statistical postprocessing methods     

Keunhee Han  JunTae Choi  Chansoo Kim 《Asia-Pacific Journal of Atmospheric Sciences》2016,52(5):495-507

As the 2018 Winter Olympics are to be held in Pyeongchang, both general weather information on Pyeongchang and specific weather information on this region, which can affect game operation and athletic performance, are required. An ensemble prediction system has been applied to provide more accurate weather information, but it has bias and dispersion due to the limitations and uncertainty of its model. In this study, homogeneous and nonhomogeneous regression models as well as Bayesian model averaging (BMA) were used to reduce the bias and dispersion existing in ensemble prediction and to provide probabilistic forecast. Prior to applying the prediction methods, reliability of the ensemble forecasts was tested by using a rank histogram and a residualquantile-quantile plot to identify the ensemble forecasts and the corresponding verifications. The ensemble forecasts had a consistent positive bias, indicating over-forecasting, and were under-dispersed. To correct such biases, statistical post-processing methods were applied using fixed and sliding windows. The prediction skills of methods were compared by using the mean absolute error, root mean square error, continuous ranked probability score, and continuous ranked probability skill score. Under the fixed window, BMA exhibited better prediction skill than the other methods in most observation station. Under the sliding window, on the other hand, homogeneous and non-homogeneous regression models with positive regression coefficients exhibited better prediction skill than BMA. In particular, the homogeneous regression model with positive regression coefficients exhibited the best prediction skill.  相似文献   

Development of statistical seasonal prediction models of Arctic Sea Ice concentration using CERES absorbed solar radiation     

Yoojin Kim  Ha-Rim Kim  Yong-Sang Choi  WonMoo Kim  Hye-Sil Kim 《Asia-Pacific Journal of Atmospheric Sciences》2016,52(5):467-477

Statistical seasonal prediction models for the Arctic sea ice concentration (SIC) were developed for the late summer (August-October) when the downward trend is dramatic. The absorbed solar radiation (ASR) at the top of the atmosphere in June has a significant seasonal leading role on the SIC. Based on the lagged ASR-SIC relationship, two simple statistical models were established: the Markovian stochastic and the linear regression models. Crossvalidated hindcasts of SIC from 1979 to 2014 by the two models were compared with each other and observation. The hindcasts showed general agreement between the models as they share a common predictor, ASR in June and the observed SIC was well reproduced, especially over the relatively thin-ice regions (of one- or multi-year sea ice). The robust predictability confirms the functional role of ASR in the prediction of SIC. In particular, the SIC prediction in October was quite promising probably due to the pronounced icealbedo feedback. The temporal correlation coefficients between the predicted SIC and the observed SIC were 0.79 and 0.82 by the Markovian and regression models, respectively. Small differences were observed between the two models; the regression model performed slightly better in August and September in terms of temporal correlation coefficients. Meanwhile, the prediction skills of the Markovian model in October were higher in the north of Chukchi, the East Siberian, and the Laptev Seas. A strong non-linear relationship between ASR in June and SIC in October in these areas would have increased the predictability of the Markovian model.  相似文献