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Abstract
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.
Highlights
IntroductionGeopotential height is the height of a pressure surface in the atmosphere above mean sea level [MSL]
Geopotential height was the function of air temperature, pressure, winds, and topography of the area, which required a careful method for its imputations
AIRS was the instrument on AQUA satellite, which launched in May 2002
Summary
Geopotential height is the height of a pressure surface in the atmosphere above mean sea level [MSL]. Geopotential height was the function of air temperature, pressure, winds, and topography of the area, which required a careful method for its imputations. The best method depends upon the spatial and temporal variations of geopotential height in the atmosphere. Reiter [10], applied different interpolations on geopotential height keeping in view its variations in the atmosphere. Of which Baluchistan is the driest and desert area facing 210 mm of rain averagely [16]. The actual thrust of this research work is to devise a workable methodology for carrying out scientific observations of upper atmosphere meteorology in Pakistan in spite of lacking modern equipment and technological resources in relevant departments. The published literature is not available in Pakistan, Saleem and Ahmed [18]; Saleem [19]; Saleem [20] are few initiatives on upper-level atmospheric observations
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