摘要
针对开展乡镇天气预报对高精度逐日气象要素输入值的需 求,以辽宁地区为例,选用克立格法（Kriging）、距离权重反比法（IDW）、带高度梯度订正的距离权重反比法（GIDW）及样条函数法（Spline）4种插值方法,进行有限气象站点1～12月逐日气象要素空间插值方法研究并对估值进行检验。结果表明：对温度而言,GIDW方法估值精度较高,插值结果分布趋势也较为接近实际站点的分布;对降水而言,IDW估值精度高于其他插值方法,更适合于日降水量的空间插值。
Aiming at the needs for high-resolution daily weather data, taking Liaoning Province as an example, the spatial interpolation methods of daily weather data from January to December are studied using the ordinary Kriging, Inverse Distance Weighting （IDW）, the IDW with weighting of Gradient Inverse Distance Weighting （GIDW）, and spline function methods. The statistic analysis for interpolated values and estimated values are made. The results indicate that for temperature, the precision of the estimated values is the highest, and the space-distributing trend of the interpolated result is the closest to the actual data byusing GIDW method. For precipitation, the precision of the estimated values with the IDW method is higher than those with the other methods, which is more fit for the interpolation of daily precipitation.
出处
《气象科技》
2008年第4期389-395,共7页
Meteorological Science and Technology
基金
辽宁省气象局农村防灾减灾课题资助
关键词
气温
降水
空间插值
估值检验
temperature, precipitaion, spatial interpolation, estimation test
