5 papers · 1 filter
A Data-Driven Approach for Accurate Rainfall Prediction
Shilpa Manandhar, Soumyabrata Dev, Yee Hui Lee +2
In recent years, there has been growing interest in using Precipitable Water Vapor (PWV) derived from Global Positioning System (GPS) signal delays to predict rainfall. However, th…
A Potential Low Cost Remote Sensing Using GPS Derived PWV
Shilpa Manandhar, Yee Hui Lee, Yu Song Meng +2
In this paper, the Precipitable Water Vapor (PWV) content of the atmosphere is derived using the Global Positioning System (GPS) signal delays. The PWV values from GPS are calculat…
Systematic Study of Weather Variables for Rainfall Detection
Shilpa Manandhar, Soumyabrata Dev, Yee Hui Lee +2
Numerous weather parameters affect the occurrence and amount of rainfall. Therefore, it is important to study these parameters and their interdependency. In this paper, different w…
A Data-driven Approach to Detecting Precipitation from Meteorological Sensor Data
Shilpa Manandhar, Soumyabrata Dev, Yee Hui Lee +2
Precipitation is dependent on a myriad of atmospheric conditions. In this paper, we study how certain atmospheric parameters impact the occurrence of rainfall. We propose a data-dr…
On the Importance of PWV in Detecting Precipitation
Shilpa Manandhar, Soumyabrata Dev, Yee Hui Lee +1
With a rapid increase in the number of geostationary satellites around the earth's orbit, there has been a renewed interest in using Global Positioning System (GPS) to understand s…