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题名

A weighted mean temperature model with nonlinear elevation correction using china as an example

作者
通讯作者Huang,Guanwen
发表日期
2021-10-01
DOI
发表期刊
EISSN
2072-4292
卷号13期号:19
摘要
The weighted mean temperature (Tm) is a crucial parameter for determining the tropospheric delay in transforming precipitable water vapor. We used the reanalysis data provided by European Centre for Medium-Range Weather Forecasts (ECMWF) to analyze the distribution characteristics of Tm in the vertical direction in China. To address the problem that the precision of the traditional linear function model is limited in fitting the Tm profile, a scheme using the linear and Fourier functions to fit the Tm profile was constructed. Based on the least squares principle (LSQ) to fit the change in its coefficients over time, a Tm model for China with nonlinear elevation correction (CTm-h) was constructed. The experimental results show that, using ECMWF and radiosonde data to evaluate the precision of the CTm-h model, the RMS is 3.43 K and 4.64 K, respectively. Compared to GPT2w, the precision of the CTm-h model in China is increased by about 26.8%. The CTm-h model provides a significant improvement in the correction effect of Tm in the vertical direction, and the Tm profile calculated by the model is closer to the reference value.
关键词
相关链接[Scopus记录]
收录类别
SCI ; EI
语种
英语
学校署名
第一
WOS记录号
WOS:000707885900001
EI入藏号
20214010983472
EI分类号
Meteorology:443
Scopus记录号
2-s2.0-85116230235
来源库
Scopus
引用统计
被引频次[WOS]:3
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/253990
专题理学院_地球与空间科学系
作者单位
1.Department of Earth and Space Sciences,Southern University of Science and Technology,Shenzhen,518055,China
2.College of Geology Engineering and Geomatics,Chang’an University,Xi’an,710054,China
第一作者单位地球与空间科学系
第一作者的第一单位地球与空间科学系
推荐引用方式
GB/T 7714
Zhu,Hai,Chen,Kejie,Huang,Guanwen. A weighted mean temperature model with nonlinear elevation correction using china as an example[J]. Remote Sensing,2021,13(19).
APA
Zhu,Hai,Chen,Kejie,&Huang,Guanwen.(2021).A weighted mean temperature model with nonlinear elevation correction using china as an example.Remote Sensing,13(19).
MLA
Zhu,Hai,et al."A weighted mean temperature model with nonlinear elevation correction using china as an example".Remote Sensing 13.19(2021).
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