4D modeling of precipitable water vapor to assess flood forecasting by using GPS signals
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology
Link
https://link.springer.com/content/pdf/10.1007/s11069-023-06185-6.pdf
Reference41 articles.
1. Akilan A, Azeez KA, Schuh H, Padhy S, Kotluri SK (2019) Perturbations in atmospheric gaseous components over coastal Antarctica detected in GPS signals and its natural origin to volcanic eruption. Polar Sci 19:69–76. https://doi.org/10.1016/j.polar.2018.11.009
2. Bevis M, Businger S, Herring TA, Rocken C, Anthes RA, Ware RH (1992) GPS meteorology: remote sensing of atmospheric water vapor using the global positioning system. J Geophys Res: Atmos 97(D14):15787–15801
3. Bi Y, Mao J, Li C (2006) Preliminary results of 4-D water vapor tomography in the troposphere using GPS. Adv Atmos Sci 23(4):551–560. https://doi.org/10.1007/s00376-006-0551-y
4. Carreau J, Guinot V (2021) A PCA spatial pattern based artificial neural network downscaling model for urban flood hazard assessment. Adv Water Resour 147:103821
5. Chen B (2017) Remote sensing of atmospheric water vapor field with tomography using multi-sensor data (Doctoral dissertation, The Hong Kong Polytechnic University).
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