An Optimized Framework for Precipitable Water Vapor Mapping Using TS-InSAR and GNSS
文献类型：期刊论文
| 作者 | Guo, Qiuying2; Yu, Miao2; Li, Dewei2; Huang, Shoukai2; Xue, Xuelong2; Sun, Yingjun2; Zhou, Chenghu1 |
| 刊名 | ATMOSPHERE
 |
| 出版日期 | 2023-11-01 |
| 卷号 | 14期号:11页码:20 |
| 关键词 | Sentinel-1A InSAR GNSS precipitable water vapor non-differential PWV |
| DOI | 10.3390/atmos14111674 |
| 通讯作者 | Li, Dewei(lidewei20@sdjzu.edu.cn) |
| 英文摘要 | Observations of precipitable water vapor (PWV) in the atmosphere play a crucial role in weather forecasting and global climate change research. Spaceborne Interferometric Synthetic Aperture Radar (InSAR), as a widely used modern geodetic technique, offers several advantages to the mapping of PWV, including all-weather capability, high accuracy, high resolution, and spatial continuity. In the process of PWV retrieval by using InSAR, accurately extracting the tropospheric wet delay phase and obtaining a high-precision tropospheric water vapor conversion factor are critical steps. Furthermore, the observations of InSAR are spatio-temporal differential results and the conversion of differential PWV (InSAR Delta PWV) into non-difference PWV (InSAR PWV) is a difficulty. In this study, the city of Jinan, Shandong Province, China is selected as the experimental area, and Sentinel-1A data in 2020 is used for mapping InSAR Delta PWV. The method of small baseline subset of interferometry (SBAS) is adopted in the data processing for improving the coherence of the interferograms. We extract the atmosphere phase delay from the interferograms by using SRTM-DEM and POD data. In order to evaluate the calculation of hydrostatic delay by using the ERA5 data, we compared it with the hydrostatic delay calculated by the Saastamoinen model. To obtain a more accurate water vapor conversion factor, the value of the weighted average temperature Tm was calculated by the path integral of the ERA5. In addition, GNSS PWV is used to calibrate InSAR PWV. This study demonstrates a robust consistency between InSAR PWV and GNSS PWV, with a correlation coefficient of 0.96 and a root-mean-square error (RMSE) of 1.62 mm. In conclusion, our method ensures the reliability of mapping PWV by using Sentinel-1A interferograms and GNSS observations. |
| WOS关键词 | WEIGHTED MEAN TEMPERATURE ; TIME-SERIES ; ERA-INTERIM ; GPS ; MODEL ; METEOROLOGY ; IMPACT ; DELAY |
| 资助项目 | Shandong Provincial Natural Science Foundation, China ; Shandong Jianzhu University |
| WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:001107930700001 |
| 资助机构 | Shandong Provincial Natural Science Foundation, China ; Shandong Jianzhu University |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/200507]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Li, Dewei |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Shandong Jianzhu Univ, Sch Surveying & Geoinformat, Jinan 250101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Guo, Qiuying,Yu, Miao,Li, Dewei,et al. An Optimized Framework for Precipitable Water Vapor Mapping Using TS-InSAR and GNSS[J]. ATMOSPHERE,2023,14(11):20. |
| APA | Guo, Qiuying.,Yu, Miao.,Li, Dewei.,Huang, Shoukai.,Xue, Xuelong.,...&Zhou, Chenghu.(2023).An Optimized Framework for Precipitable Water Vapor Mapping Using TS-InSAR and GNSS.ATMOSPHERE,14(11),20. |
| MLA | Guo, Qiuying,et al."An Optimized Framework for Precipitable Water Vapor Mapping Using TS-InSAR and GNSS".ATMOSPHERE 14.11(2023):20. |
入库方式： OAI收割
来源：地理科学与资源研究所
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