Extreme Precipitation Events Catalogue based on Cross Scale Extremity for the Indian Peninsula

This repository contains the Extreme Precipitation Events (EPE) Database for the Indian Peninsula spanning the period 1951–2023, along with the Python codes used to generate, process, rank, and analyze the event catalog. The database was developed using an automated event-identification framework and provides a comprehensive catalog of spatiotemporally coherent precipitation extremes for climatological and hydrometeorological analyses. Contents Catalog_SP_1951_2023.csvCatalog of all identified extreme precipitation events (1951–2023), including event dates, duration, affected area, accumulated precipitation, and associated event characteristics. Threshold_MTM_AD_*.csvGPD parameter estimates for the *(1-7) day durations to identify the threshodl exceedance spatially continguous grid points and estimate their return periods. 1_day_ppt.csvDaily gridded openly available precipitation dataset provided by IMD, https://www.imdpune.gov.in/cmpg/Griddata/ Rainfall\_25\_NetCDF.html.. Catalog_xWEI_based_GPD.ipynbJupyter notebooks for: identifying extreme precipitation events, computing event characteristics, estimating WEI and xWEI, generating the event catalog, Plot.pipeline.ipynb reproducing figures and analyses presented in the associated publication. Dataset Coverage Spatial domain: Indian Peninsula, spanning 70°E–85°E and 8°N–20°N, represented on a 0.25° × 0.25° grid comprising 581 grid cells. Temporal coverage: 1951–2023 Temporal resolution: Daily Data type: Extreme precipitation event catalog and associated analysis scripts Purpose This dataset provides a reproducible database of extreme precipitation events for the Indian Peninsula and serves as a resource for studying rainfall extremes, climatology, hydrological hazards, event ranking, and compound-event analyses. The accompanying source code enables users to reproduce the event identification, characterization, and ranking methodology, facilitating transparency and further methodological development.