The Reliability of Satellite Precipitation Measurements in Singapore

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

D. Saharia, S. Manandhar, Y. H. Lee, S. Dev, and M. Saharia, The Reliability of Satellite Precipitation Measurements in Singapore, under review.

The work is performed on Jupyter Notebooks and following packages were used -

• pandas - For data pre-processing.
• matplotlib, seaborn- For plotting.
• glob - For selecting multiple files.
• xarray - To work with netCDF files.
• tslearn - To compute the DTW scores and path.
• scipy - To use cdist for DTW path computation.

Data - https://drive.google.com/drive/folders/1Fw-7wc1sguI4i5_uNcl7mkUV1KcDNs6n?usp=sharing

Directory Structure -

• Figures/ - contains all the figures and plots used in the paper.
• data/ - contains Gauge, GPM, and CHIRPS data.
• 01_Singapore_prat.ipynb - main notebook discussing the results of the paper.

Note:

The PRAT dataset used in this project can not be disclosed due to proprietary reasons. However, one may feel to use/modify the code as per the requirement.