基于高斯函数的中国区域时变性水汽垂直剖面模型  

Vertical Profile Model of Regional Time-Varying Water Vaporin China Based on Gaussian Function

作　　者：林买金 张露露 谢劭峰 徐庆兵 彭祥天 张茗斐 LIN Maijin;ZHANG Lulu;XIE Shaofeng;XU Qingbing;PENG Xiangtian;ZHANG Mingfei(College of Geomatics and Geoinformation,Guilin University of Technology,319 Yanshan Street,Guilin 541006,China;College of Tourism and Landscape Architecture,Guilin University of Technology,319 Yanshan Street,Guilin 541006,China)

机构地区：[1]桂林理工大学测绘地理信息学院,桂林541006 [2]桂林理工大学旅游与风景园林学院,桂林541006

出　　处：《大地测量与地球动力学》2024年第10期1016-1021,共6页Journal of Geodesy and Geodynamics

基　　金：广西自然科学基金(2023GXNSFAA026434)。

摘　　要：中国地区气候变化复杂,水汽情况多变,现有的PWV垂直改正模型主要使用简单的经验改正模型或区域模型,未能考虑水汽的精细时变特性。对此,利用2016~2018年ERA5再分析资料,使用高斯函数构建中国区域顾及年周期、半年周期、日周期和半日周期的时变性PWV垂直剖面模型(C-GPWV模型),使用2019年ERA5PWV剖面与2019年探空站地表PWV对模型进行精度验证,并与GPT3模型进行精度对比。实验结果表明,顾及水汽精细时变特性的C-GPWV模型在ERA5PWV剖面与探空站PWV的精度均高于GPT3模型。Because of the complex climate change and variable water vapor conditions in China,the existing precipitable water vapor(PWV)vertical correction models mainly use simple empirical correction models or regional models,which fail to consider the fine time-varying characteristics of water vapor.Therefore,using Gaussian function with the ERA5 reanalysis data from 2016 to 2018,we construct a time-varying PWV vertical profile model(C-GPWV model)for the Chinese region considering the annual cycle,semiannual cycle,daily cycle,and semidiurnal cycle.We validate the accuracy of the model by using the ERA5 PWV profile of 2019 with the surface PWV at the radiosonde stations of 2019 and compare it with the GPT3 model for accuracy.The experimental results show that the accuracy of the C-GPWV model,which considers the fine time-varying properties of water vapor,is higher than that of the GPT3 model for both the ERA5 PWV profiles and the radiosonde station PWV.

关 键 词：C-GPWV模型 高斯函数 时变递减率 中国区域 

分 类 号：P228[天文地球—大地测量学与测量工程]