基于GPT2w模型化加权平均温度反演可降水量

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英文篇名：Precipitable Water Vapor Retrieval Based on Weighted Mean Temperature from GPT2w 作者：翟树峰 ; 吕志平 ; 李林阳 ; 吕浩 ; 邝英才 ; 王方超 英文作者：ZHAI Shufeng;Lü Zhiping;LI Linyang;Lü Hao;KUANG Yingcai;WANG Fangchao;School of Surveying and Mapping, Information Engineering University; 关键词：天顶对流层湿延迟 ; GPT2w ; 加权平均温度 ; 可降水量 英文关键词：zenith tropospheric wet delay;;GPT2w;;weighted mean temperature;;precipitable water vapor 中文刊名：DKXB 英文刊名：Journal of Geodesy and Geodynamics 机构：信息工程大学地理空间信息学院; 出版日期：2019-07-15 出版单位：大地测量与地球动力学 年：2019 期：v.39 基金：国家自然科学基金(41674019);; 国家重点研发计划(2016YFB0501701)~~ 语种：中文; 页：DKXB201907013 页数：5 CN：07 ISSN：42-1655/P 分类号：77-81

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%。
        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%.

引文

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