利用T639的高空温度预报结果,分析丹东地区4个站点不同月份850和925 h Pa温度与最低、最高气温的相关性。结果表明,最低气温与850 h Pa温度的相关性好于925 h Pa温度,南部地区的相关性好于北部地区;最高气温与925 h Pa温度的相关性明显...利用T639的高空温度预报结果,分析丹东地区4个站点不同月份850和925 h Pa温度与最低、最高气温的相关性。结果表明,最低气温与850 h Pa温度的相关性好于925 h Pa温度,南部地区的相关性好于北部地区;最高气温与925 h Pa温度的相关性明显好于850 h Pa温度,北部地区的相关性明显好于南部地区。相关系数的季节差异比较明显,干冷季节(秋冬季)的相关性明显好于暖湿季节(春夏季)。展开更多
In current study an attempt is carried out by filling missing data of geopotiential height over Pakistan and identifying the optimum method for interpolation. In last thirteen years geopotential height values over wer...In current study an attempt is carried out by filling missing data of geopotiential height over Pakistan and identifying the optimum method for interpolation. In last thirteen years geopotential height values over were missing over Pakistan. These gaps are tried to be filled by interpolation Techniques. The techniques for interpolations included Bilinear interpolations [BI], Nearest Neighbor [NN], Natural [NI] and Inverse distance weighting [IDW]. These imputations were judged on the basis of performance parameters which include Root Mean Square Error [RMSE], Mean Absolute Error [MAE], Correlation Coefficient [Corr] and Coefficient of Determination [R2]. The NN and IDW interpolation Imputations were not precise and accurate. The Natural Neighbors and Bilinear interpolations immaculately fitted to the data set. A good correlation was found for Natural Neighbor interpolation imputations and perfectly fit to the surface of geopotential height. The root mean square error [maximum and minimum] values were ranges from ±5.10 to ±2.28 m respectively. However mean absolute error was near to 1. The validation of imputation revealed that NN interpolation produced more accurate results than BI. It can be concluded that Natural Interpolation was the best suited interpolation technique for filling missing data sets from AQUA satellite for geopotential height.展开更多
文摘利用T639的高空温度预报结果,分析丹东地区4个站点不同月份850和925 h Pa温度与最低、最高气温的相关性。结果表明,最低气温与850 h Pa温度的相关性好于925 h Pa温度,南部地区的相关性好于北部地区;最高气温与925 h Pa温度的相关性明显好于850 h Pa温度,北部地区的相关性明显好于南部地区。相关系数的季节差异比较明显,干冷季节(秋冬季)的相关性明显好于暖湿季节(春夏季)。
文摘In current study an attempt is carried out by filling missing data of geopotiential height over Pakistan and identifying the optimum method for interpolation. In last thirteen years geopotential height values over were missing over Pakistan. These gaps are tried to be filled by interpolation Techniques. The techniques for interpolations included Bilinear interpolations [BI], Nearest Neighbor [NN], Natural [NI] and Inverse distance weighting [IDW]. These imputations were judged on the basis of performance parameters which include Root Mean Square Error [RMSE], Mean Absolute Error [MAE], Correlation Coefficient [Corr] and Coefficient of Determination [R2]. The NN and IDW interpolation Imputations were not precise and accurate. The Natural Neighbors and Bilinear interpolations immaculately fitted to the data set. A good correlation was found for Natural Neighbor interpolation imputations and perfectly fit to the surface of geopotential height. The root mean square error [maximum and minimum] values were ranges from ±5.10 to ±2.28 m respectively. However mean absolute error was near to 1. The validation of imputation revealed that NN interpolation produced more accurate results than BI. It can be concluded that Natural Interpolation was the best suited interpolation technique for filling missing data sets from AQUA satellite for geopotential height.
