PWV Estimation Using GPS and its Comparison with INSAT-3D Rainfall Data
| Autor: | Sravanthi Gunti, S. Muralikrishnan, J. Narendran |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Meteorology
business.industry Geography Planning and Development 0211 other engineering and technologies Weather forecasting Satellite system 02 engineering and technology computer.software_genre law.invention Troposphere GNSS applications law Earth and Planetary Sciences (miscellaneous) Radiosonde Global Positioning System Environmental science Satellite business computer Zenith 021101 geological & geomatics engineering |
| Zdroj: | Journal of the Indian Society of Remote Sensing. 49:1453-1460 |
| ISSN: | 0974-3006 0255-660X |
| Popis: | Precipitable water vapor (PWV) plays an important role in understanding the atmosphere and weather. The advancement in Global Navigation Satellite System (GNSS) technology provides the possibility of computing PWV in near real time. In this study, the PWV was computed using the Zenith Tropospheric Delay (ZTD) from Global Positioning System (GPS) data for two International GNSS Service (IGS) stations (IISC & HYDE) for monsoon period (June–September) of 2014 and 2015. The GPS-derived PWV has been validated with reference to radiosonde data and University NAVSTAR Consortium (UNAVCO) PWV products. The coefficient of determination between GPS-derived PWV and radiosonde PWV is 0.73–0.83 for IISC station and 0.76–0.91 for HYDE station. For IISC station, the coefficient of determination between GPS-derived PWV and UNAVCO-derived PWV is 0.80–0.89. Also, in this study, GPS-derived PWV for IISC station has been compared with the rainfall events of Indian National Satellite System (INSAT-3D). From the analysis, we observed a direct relation between PWV and rainfall events from Hydro Estimator Method (HEM), INSAT Multi spectral Rainfall (IMR) products of INSAT-3D. This study highlights the satellite-based observations from GNSS and INSAT satellite for regional weather forecasting in near real time. |
| Databáze: | OpenAIRE |
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