Study of Temporal and Spatial Correlation of Precipitable Water Vapor with Rainfall for Tropical Region
- Resource Type
- Conference
- Authors
- Biswas, Anik Naha; Lee, Yee Hui; Heh, Ding Yu; Manandhar, Shilpa
- Source
- IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2022 - 2022 IEEE International. :6464-6467 Jul, 2022
- Subject
- Aerospace
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
Geoscience
Photonics and Electrooptics
Power, Energy and Industry Applications
Signal Processing and Analysis
Water
Rain
Correlation
Atmospheric modeling
Weather forecasting
Terrestrial atmosphere
Predictive models
Global Positioning System (GPS)
Precipitable Water Vapor (PWV)
Numerical Weather Model
Rainfall Prediction
- Language
- ISSN
- 2153-7003
The application of GPS technology has been pervasive in meteorological science besides point positioning for weather prediction with high spatio-temporal resolution. In meteorology, rainfall forecasting is highly imperative to mitigate the destruction of public properties and lives. In recent years, precipitable water vapor has caught the interest of the scientists in the field of research on rainfall prediction. In this article, we have presented the correlation of precipitable water vapor with time and space during the transition of weather condition from a rainy period to dry one or vice-versa. The enhancement in PWV values in a larger region prior to rainfall makes it a potential predictor for rain for a particular area. The amendment in PWV slope with time before precipitation is also significant to forecast the impending rain event. These results substantiate the usefulness of precipitable water vapor as a potential indicator of weather forecasting.