This study presents analyses of convective available potential energy (CAPE) and its association with spatial distribution of precipitation and temperature over sparsely located 45 meteorological stations of Pakistan for the period 1987–2016 on both seasonal and annual time scales. The analyses are performed using various data products viz. monthly precipitation of Pakistan Meteorological Department (PMD), monthly mean gridded temperature of Climate Research Unit (CRU), and CAPE of ERA-Interim reanalysis datasets. Seasonal and annual climatology of CAPE, precipitation, and temperature are presented over each PMD station in the form of thematic maps. Our results show that the stations located in the areas of relatively high values of CAPE also receive relatively high temperatures and precipitation amounts generally. Spatial distribution of correlation coefficients between CAPE and both precipitation and temperature, and trends of the three parameters at the stations are also presented on both the time scales. Based on identified association of CAPE with precipitation and temperature, and trends of the parameters, 25(7), 10(7), 17(10), 22(4), and 16(10) station have been identified that are likely to receive increased(decreased) amount of precipitation in winter, pre-monsoon, monsoon, post-monsoon and annually, respectively, in future. Clusters of these stations identify the related regions also.

本研究分析了 1987-2016 年期间巴基斯坦 45 个气象站的对流可用势能 (CAPE) 及其与降水和温度空间分布的关联，在季节和年度时间尺度上。分析是使用各种数据产品进行的，即。巴基斯坦气象局 (PMD) 的月降水量、气候研究单位 (CRU) 的月平均网格温度以及 ERA-Interim 再分析数据集的 CAPE。CAPE 的季节性和年度气候、降水和温度以专题图的形式呈现在每个 PMD 站上。我们的研究结果表明，位于 CAPE 值相对较高区域的站点也普遍接受相对较高的温度和降水量。CAPE与降水和温度之间相关系数的空间分布以及站点三个参数的趋势也在两个时间尺度上呈现。根据已确定的 CAPE 与降水和温度的关联以及参数的趋势，已确定 25(7)、10(7)、17(10)、22(4) 和 16(10) 站点可能未来分别在冬季、季风前、季风后、季风后和每年接收增加（减少）的降水量。这些站点的集群也标识了相关区域。25(7)、10(7)、17(10)、22(4)和16(10)站已被确定，在冬季、季风前、季风、未来分别在季风后和每年。这些站点的集群也标识了相关区域。25(7)、10(7)、17(10)、22(4)和16(10)站已被确定，在冬季、季风前、季风、未来分别在季风后和每年。这些站点的集群也标识了相关区域。