台站温度质量控制中IDW算法改进及应用  

Quality Control of Temperature Observation Data with Improved IDW Algorithm

作　　者：王兴[1] 苗春生[1] 江燕如[1] 汪瑶[1] 

机构地区：[1]气象灾害教育部重点实验室,南京信息工程大学,南京210044

出　　处：《气象科技》2014年第4期605-611,共7页Meteorological Science and Technology

基　　金：江苏省2012年度普通高校研究生科研创新计划项目(CXZZ12_0513);国家科技支撑计划课题(2012BAH05B01);江苏高校优势学科建设工程资助项目(PAPD)资助

摘　　要：在反距离加权插值算法的基础上,结合气象上温度随高程的变化,以及各测站垂直方向上温度场与气压场的关系,对国内地面气象观测站的温度数据进行插值算法改进。然后,从搜索半径与距离权重系数的关系,以及参与插值站点数量与距离权重系数的关系两个方面进行试验数据分析,试图找出相对最佳的算法参数和最小的插值误差。最后,将改进的算法应用到温度观测数据的质量控制中。结果表明:改进后的算法可明显改善因近地面逆温造成的插值误差,在台站分布较密集的我国中东部地区,温度质量检验的灵敏度可达到1至5摄氏度。On the basis of IDW, combining with temperature change with height and relationship between temperature field and pressure field at each observation station, the interpolation algorithm of temperature data from ground meteorological stations is improved. The experimental data are analyzed from the aspects of the relationship between search radius and distance-weight coefficient and the number of stations in the fixed search radius and distance-weighting coefficient to find the best algorithm parameters and minimum error. The improved interpolation algorithm is applied to the quality control of temperature observation data. The results show that the improved algorithm can evidently improve the interpolation accuracy resulted from the near-surface temperature inversion. In the eastern China where stations are densely distributed, the sensitivity of temperature test can be up to 1 to 5℃.

关 键 词：反距离权重算法 大气静力学公式 地面站温度 质量控制 

分 类 号：P315.7[天文地球—地震学]