【摘要】 提出一种基于GPT2w模型化加权平均温度反演大气可降水量的方法,并分析附加系统偏差改正的模型化加权平均温度对可降水量的影响。结果表明,基于GPT2w模型化加权平均温度反演的大气可降水量的精度与基于Bevis公式计算的加权平均温度反演的大气可降水量的精度相当;对GPT2w模型化加权平均温度进行系统偏差改正后,大气可降水量的精度有一定改善,但改善率不到1%。更多还原

【Abstract】 We propose a method based on weighted mean temperature derived from GPT2 w to retrieve precipitable water vapor, and analyze the influence of the weighted mean temperature with systematic correction derived from GPT2 w on precipitable water vapor. The results show that the precision of precipitable water vapor based on weighted mean temperature derived from GPT2 w is comparable with that of precipitable water vapor based on weighted mean temperature by Bevis formula, and that weighted mean temperature with systematic correction has little influence on precipitable water vapor, the improvement rate is less than 1%.更多还原