顾及衰减系数时空变化的全球PWV垂直改正模型

doi:10.11947/j.AGCS.2024.20230148

测绘学报 ›› 2024, Vol. 53 ›› Issue (5): 889-899.doi: 10.11947/j.AGCS.2024.20230148

顾及衰减系数时空变化的全球PWV垂直改正模型

蒋春华¹^,²^,³(), 高祥¹(), 王帅民⁴, 祝会忠¹, 陈少妮¹, 刘广盛¹

^1.辽宁工程技术大学测绘与地理科学学院，辽宁　阜新　123000
^2.地理信息工程国家重点实验室，陕西　西安　710054
^3.中国科学院精密测量科学与技术创新研究院大地测量与地球动力学国家重点实验室，湖北　武汉　430077
^4.河北工程大学矿业与测绘工程学院，河北　邯郸　056038

收稿日期:2023-05-11 修回日期:2024-04-11 发布日期:2024-06-19
通讯作者: 高祥 E-mail:jiangchunhua@sdu.edu.cn;472120799@stu.lntu.edu.cn
作者简介:蒋春华（1988—），女，博士，副教授，主要研究方向为并行精密数据处理及GNSS气象学。E-mail：jiangchunhua@sdu.edu.cn
基金资助:
国家自然科学基金(42030109);辽宁省博士启动基金(2021-BS-275);辽宁省教育厅高等学校科学研究项目(LJKMZ20220673);中国科学院精密测量科学技术创新研究院大地测量与地球动力学国家重点实验室资助项目(SKLGED2023-3-2)

A global vertical correction model of PWV considering the spatial-temporal variation of decay coefficient

Chunhua JIANG¹^,²^,³(), Xiang GAO¹(), Shuaimin WANG⁴, Huizhong ZHU¹, Shaoni CHEN¹, Guangsheng LIU¹

^1.School of Geomatics, Liaoning Technical University, Fuxin 123000, China
^2.State Key Laboratory of Geo-Information Engineering, Xi'an 710054, China
^3.State Key Laboratory of Geodesy and Earths' Dynamics, Innovation Academy for Precision Measurement Science and Technology, CAS, Wuhan 430077, China
^4.College of Mining and Geomatics, Hebei University of Engineering, Handan 056038, China

Received:2023-05-11 Revised:2024-04-11 Published:2024-06-19
Contact: Xiang GAO E-mail:jiangchunhua@sdu.edu.cn;472120799@stu.lntu.edu.cn
About author:JIANG Chunhua(1988—), female, PhD, assistant professor, majors in parallel precise data processing and GNSS meteorology. E-mail: jiangchunhua@sdu.edu.cn
Supported by:
The National Natural Science Foundation of China(42030109);The Startup Foundation for Doctors of Liaoning Province(2021-BS-275);The Scientific Study Project for Institutes of Higher Learning, Ministry of Education, Liaoning Province(LJKMZ20220673);The Project Supported by the State Key Laboratory of Geodesy and Earths' Dynamics, Innovation Academy for Precision Measurement Science and Technology(SKLGED2023-3-2)

摘要/Abstract

摘要：

大气可降水量（precipitable water vapor，PWV）在多尺度气候变化及大气物理过程中扮演着重要的角色。为提高PWV垂直改正精度进一步扩展各类PWV产品的空间应用性，本文基于2010—2019年ERA5再分析资料构建了一种顾及PWV垂直衰减系数时空变化的全球适用范围的分层格网模型（GPWVCS）。同时联合2020年ERA5及无线电探空PWV，评估了本文模型在全球范围内的精度及适用性。结果表明，相比于经验模型及未分层的GPWVC模型，GPWVCS模型有效提升了PWV的垂直改正精度。以ERA5 PWV为参考，全球范围内GPWVCS模型修正PWV的RMS不超过1.9 mm。以探空数据为参考，GPWVCS模型在热带、温带、寒带及全球范围的年均RMS分别为2.24、1.29、0.44、1.44 mm，较经验模型分别提升34.6%、14.1%、10.9%及21.4%，较GPWVC模型分别提升6.4%、5.8%、9.4%及6.0%。GPWVCS的分层算法最大限度地削弱了PWV指数外推的误差累积影响，本文开发的水平分辨率为1°×1°、2°×2°及5°×5°的模型均能够显著提升全球范围内多种高差下PWV的垂直改正效果，用户可以根据计算效率及精度需求自行选择最佳模型。

关键词: GPWVCS模型, 大气可降水量, 衰减系数, 垂直分层

Abstract:

Precipitable water vapor (PWV) plays an important role in multi-scale climate change and atmospheric physical processes. To improve the accuracy of vertical correction of PWV and further extend the spatial applications of multi-source PWV products, we propose a global stratification grid model named as GPWVCS based on ERA5 reanalysis data from 2010 to 2019, considering the spatial-temporal variation of PWV vertical decay coefficient. And the accuracy and application of the new model on a global scale are evaluated using ERA5 and radiosonde derived-PWV. The results show that compared with the empirical model and the unstratified GPWVC model, the GPWVCS model effectively improves the vertical correction accuracy of PWV. Taking ERA5 PWV as reference, the RMS of PWV adjusted by GPWVCS model in each region over the globe is less than 1.9 mm. Taking radiosonde data profiles as reference, the annual mean RMS values of GPWVCS model in the tropical, temperate, frigid zone and globe are 2.24, 1.29, 0.44 and 1.44 mm, respectively, which achieve accuracy improvements of 34.6%, 14.1%, 10.9% and 21.4% compared with the empirical model, and they are corresponding to 6.4%, 5.8%, 9.4% and 6.0% improvement against the GPWVC model. The stratification algorithm of GPWVCS model greatly weakens the impact of the PWV accumulated error which is attributed to the exponential extrapolation. All three models with horizontal-resolutions of 1°×1°, 2°×2° and 5°×5° developed in this study can significantly improve the global performance of vertical correction for PWV in terms of different height differences, and users can choose the best model according to the requirements of computational efficiency and accuracy.

Key words: GPWVCS model, precipitable water vapor, decay coefficient, vertical stratification

中图分类号:

P228

蒋春华, 高祥, 王帅民, 祝会忠, 陈少妮, 刘广盛. 顾及衰减系数时空变化的全球PWV垂直改正模型[J]. 测绘学报, 2024, 53(5): 889-899.

Chunhua JIANG, Xiang GAO, Shuaimin WANG, Huizhong ZHU, Shaoni CHEN, Guangsheng LIU. A global vertical correction model of PWV considering the spatial-temporal variation of decay coefficient[J]. Acta Geodaetica et Cartographica Sinica, 2024, 53(5): 889-899.

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参考文献 29

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温度带	经验模型		GPWVC模型		GPWVCS模型
温度带	Bias	RMS	Bias	RMS	Bias	RMS
热带	－1.33	3.42	－0.30	2.40	－0.04	2.24
温带	－0.26	1.50	－0.07	1.37	0.05	1.29
寒带	－0.11	0.49	－0.10	0.48	0.04	0.44
全球	－0.46	1.83	－0.17	1.53	0.03	1.44

顾及衰减系数时空变化的全球PWV垂直改正模型

A global vertical correction model of PWV considering the spatial-temporal variation of decay coefficient

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