158 citations · 161 across the 2 of their papers we have counts for
14 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…
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…
Analyzing Solar Irradiance Variation From GPS and Cameras
Shilpa Manandhar, Soumyabrata Dev, Yee Hui Lee +1
The total amount of solar irradiance falling on the earth's surface is an important area of study amongst the photo-voltaic (PV) engineers and remote sensing analysts. The received…
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…
Correlating Satellite Cloud Cover with Sky Cameras
Shilpa Manandhar, Soumyabrata Dev, Yee Hui Lee +1
The role of clouds is manifold in understanding the various events in the atmosphere, and also in studying the radiative balance of the earth. The conventional manner of such cloud…
Analyzing Cloud Optical Properties Using Sky Cameras
Shilpa Manandhar, Soumyabrata Dev, Yee Hui Lee +1
Clouds play a significant role in the fluctuation of solar radiation received by the earth's surface. It is important to study the various cloud properties, as it impacts the total…
Study of Clear Sky Models for Singapore
Soumyabrata Dev, Shilpa Manandhar, Yee Hui Lee +1
The estimation of total solar irradiance falling on the earth's surface is important in the field of solar energy generation and forecasting. Several clear-sky solar radiation mode…
Cloud Radiative Effect Study Using Sky Camera
Soumyabrata Dev, Shilpa Manandhar, Feng Yuan +2
The analysis of clouds in the earth's atmosphere is important for a variety of applications, viz. weather reporting, climate forecasting, and solar energy generation. In this paper…
Detecting Rainfall Onset Using Sky Images
Soumyabrata Dev, Shilpa Manandhar, Yee Hui Lee +1
Ground-based sky cameras (popularly known as Whole Sky Imagers) are increasingly used now-a-days for continuous monitoring of the atmosphere. These imagers have higher temporal and…