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首页> 外文期刊>International Journal of Systems Science and Applied Mathematics >Determination of Refractivity Gradient and Geoclimatic Factor Using Radiosonde Data and Inverse Distance Weighting Spatial Interpolation for Missing Data
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Determination of Refractivity Gradient and Geoclimatic Factor Using Radiosonde Data and Inverse Distance Weighting Spatial Interpolation for Missing Data

机译:利用探空仪数据和距离数据的反距离加权空间插值确定折射率梯度和地球气候因子

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In this paper, point refractivity gradient and geoclimatic factor are determined using radiosonde data on meteorological parameters obtained in Calabar, Nigeria. The meteorological parameters used are air temperature, pressure and humidity obtained from the radiosonde data archive of Nigerian Meteorological Agency. In view of the poor spatial resolution of radiosonde data, inverse distance weighting spatial interpolation technique is used to obtain the missing data at certain height of interest in the study. The results obtained showed that the point refractivity gradient and geoclimatic factor showed monthly and seasonal variations. Specifically, Calabar has annual average Point Refractivity Gradient (dN) and Geoclimatic Factor (K) of -125.508 N-units/Km and 6.53762E-05 respectively. The largest dN value of -25.4683 N-units/Km occurred in May whereas the smallest value of -305.2692 N-units/Km occurred in November. Furthermore, there is higher value of point refractivity gradient in the rainy season than in the dry season whereas there is lower value of geoclimatic factor in the rainy season than in the dry season.
机译:在本文中,利用关于在尼日利亚卡拉巴尔获得的气象参数的探空仪数据,确定了点折射率梯度和地球气候因子。所使用的气象参数是从尼日利亚气象局的探空仪数据档案中获得的气温,压力和湿度。鉴于探空仪数据的空间分辨率差,在研究中使用逆距离加权空间插值技术来获取某些感兴趣高度处的丢失数据。得到的结果表明,点折射率梯度和地球气候因子显示出月度和季节变化。具体而言,Calabar的年平均点折射率梯度(dN)和地气候因子(K)分别为-125.508 N-单位/ Km和6.53762E-05。 dN的最大值是-25.4683 N-units / Km,发生在5月,而最小的dN值为-305.2692 N-units / Km。此外,雨季的点折射率梯度值比旱季的值高,而雨季的地球气候因子的值比旱季的值低。

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