ATMOSPHERIC WEIGHTED MEAN TEMPERATURE MODEL IN GUILIN
Atmospheric water vapor is an important part of the earth's atmosphere, and it has a great relationship with the formation of precipitation and climate change. In CNSS-derived precipitable water vapor (PWV), atmospheric weighted mean temperature, T<sub>m</sub>, is the key factor in...
| Published in: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2020-02-01
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| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W10/1155/2020/isprs-archives-XLII-3-W10-1155-2020.pdf |
| Summary: | Atmospheric water vapor is an important part of the earth's atmosphere, and it has a great relationship with the formation of precipitation and climate change. In CNSS-derived precipitable water vapor (PWV), atmospheric weighted mean temperature, T<sub>m</sub>, is the key factor in the progress of retrieving PWV. In this study, using the profiles of Guilin radiosonde station in 2017, the spatiotemporal variation characteristics and relationships between T<sub>m</sub> and surface temperature (T<sub>s</sub>) are analyzed in Guilin, an empirical T<sub>m</sub> model suitable for Guilin is constructed by regression analysis. Comparing the T<sub>m</sub> values calculated from Bevis model, Li Jianguo model and new model, it is found that the root mean square error (RMSE) of new model is 2.349 K, which are decreased by 14% and 19%, respectively. Investigating the impact of different T<sub>m</sub> models on GNSS-PWV, the T<sub>m</sub>-induced error from new model has a smaller impact on PWV than other two models. The results show that the new T<sub>m</sub> model in Guilin has a relatively good performance and it can improve the reliability of the regional GNSS water vapor retrieval to some extent. |
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| ISSN: | 1682-1750 2194-9034 |