Analyzing Solar Irradiance Variation From GPS and Cameras

With the spirit of reproducible research, this repository contains all the codes required to produce the results in the manuscript:

S. Manandhar*, S. Dev*, Y. H. Lee and Y. S. Meng, Analyzing Solar Irradiance Variation From GPS and Cameras, IEEE AP-S Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, 2018 (* Authors contributed equally).

Please cite the above paper if you intend to use whole/part of the code. This code is only for academic and research purposes.

It is clear that with increasing PWV values, both the net cloud radiative effect and cloud coverage increases.

Code Organization

All codes are written in python. The scripts are tested with Python 3.5.4 .

Code

The scripts to reproduce the figures in the paper are as follows:

• calculateBoxPlot.py: Computes the box plots to understand the relation between PWV, cloud radiative effect and cloud coverage.
• cloud_coverage_example.py: Illustrates cloud coverage computation.

Other user-defined python scripts are kept in the folder scripts.

Data

We also share the dataset used in the paper. We collect the data from the rooftop of a building at Nanyang Technological University Singapore. All the input files are kept in the folder input.