Python Workflow for Rainfall Data Processing and Precipitation Analysis

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Shakeel Ahmad Rather, Agustín Millares, Mahesh Patel
DOI: 10.5281/zenodo.18828149
Cited by: 0

Abstract

This repository contains Python scripts for rainfall data processing, analysis, and figure generation. The workflow includes data preprocessing, consistency checks, harmonization, trend analysis, Intensity–Duration–Frequency (ITA) analysis, Empirical Cumulative Distribution Function (ECDF) analysis, and visualization. The original IMD rainfall data are not included due to licensing restrictions. Detailed documentation is provided to allow reproducibility using the original data obtained from the data source.

Fields of Study & Subjects

Precipitation Measurement and Analysis Computational Physics and Python Applications Hydrology and Watershed Management Studies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 March 2026
Language
EN