SauravBhattarai19/wdxx-precipitation-indices: WDXX Precipitation Indices: Implementation of Novel Chronological Clustering Indices
Abstract
WDXX Precipitation Indices v1.0.0 Official release accompanying the manuscript "Do the Wettest Days Occur Together? A Global Analysis on Disentangling Precipitation Intensity from Seasonal Timing" published in Earth and Space Science (2025). Overview This repository contains the complete computational implementation for calculating multi-threshold precipitation concentration indices and novel chronological clustering indices from daily precipitation data. Key Features Multi-threshold intensity indices: WD25, WD50, WD75 (days required for 25%, 50%, 75% of annual precipitation) Novel chronological clustering indices: WD25R, WD50R, WD75R (minimum consecutive days for same thresholds) ETCCDI precipitation extremes: PRCPTOT, R95p, R95pTOT Data processing pipeline for ERA5 reanalysis precipitation data Statistical analysis functions (Mann-Kendall trends, Sen's slopes) Complete visualization code for reproducing all manuscript figures Comprehensive documentation and example workflows Citation If you use this software, please cite: Bhattarai, S., Talchabhadel, R., & Pradhan, N. R. (2026). WDXX and WDXXR Precipitation Concentration Indices from ERA5 Reanalysis (1980-2024) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18357764 Manuscript citation: Bhattarai, S., Pradhan, N. R., & Talchabhadel, R. (2025). Do the Wettest Days Occur Together? A Global Analysis on Disentangling Precipitation Intensity from Seasonal Timing. Earth and Space Science. Data Availability Processed precipitation concentration indices are available at: https://doi.org/10.5281/zenodo.18357764 Contents Data processing scripts for ERA5 precipitation data Core algorithm implementations for WDXX and WDXXR indices Statistical analysis functions Visualization code for all manuscript figures Example notebooks and workflows Comprehensive documentation Requirements Python 3.8+ See requirements.txt for complete dependencies License See LICENSE file for details
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 2 March 2026