13 papers
Forecasting Precipitable Water Vapor Using LSTMs
Mayank Jain, Shilpa Manandhar, Yee Hui Lee +2
Long-Short-Term-Memory (LSTM) networks have been used extensively for time series forecasting in recent years due to their ability of learning patterns over different periods of ti…
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…
Multi-label Cloud Segmentation Using a Deep Network
Soumyabrata Dev, Shilpa Manandhar, Yee Hui Lee +1
Different empirical models have been developed for cloud detection. There is a growing interest in using the ground-based sky/cloud images for this purpose. Several methods exist t…
Predicting GPS-based PWV Measurements Using Exponential Smoothing
Shilpa Manandhar, Soumyabrata Dev, Yee Hui Lee +1
Global Positioning System (GPS) derived precipitable water vapor (PWV) is extensively being used in atmospheric remote sensing for applications like rainfall prediction. Many appli…
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…