研究目的
To estimate regional integrated water vapor (IWV) distribution by combining Meteosat-10 satellite image data with GPS tropospheric path delays.
研究成果
The study demonstrates that combining GPS zenith total delays with Meteosat-10 surface temperature data can provide accurate regional IWV distribution maps. This method offers high temporal and spatial resolution, beneficial for numerical weather prediction systems. However, improvements are needed to account for topographical variations and cloud interference.
研究不足
The study is limited by the spatial resolution of Meteosat-10 images, which may not capture small topographical changes accurately. Additionally, the accuracy of surface temperature measurements from Meteosat-10 can be affected by clouds and surrounding water bodies.
1:Experimental Design and Method Selection:
The study utilizes Israel’s dense regional GPS network to extract tropospheric zenith path delays and combines these with near-real-time Meteosat-10 water vapor and surface temperature pixel intensity values.
2:Sample Selection and Data Sources:
GPS data from the Survey of Israel (MAPI) GPS network and Meteosat-10 images are used.
3:List of Experimental Equipment and Materials:
GPS receivers, Meteosat-10 satellite data, and surface temperature measurements from the Israel Meteorological Service (IMS).
4:Experimental Procedures and Operational Workflow:
GPS data are processed using JPL’s GIPSY-OASIS PPP software to estimate IWV values, which are then compared with Meteosat-10 WV pixel values to establish a mathematical dependency.
5:Data Analysis Methods:
The dependency between GPS IWV and Meteosat-10 pixel values is analyzed using least squares method to translate satellite pixel values into absolute WV values.
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