Dataset: Designing probabilistic AI monsoon forecasts to inform agricultural decision-making

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

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Authors: Colin Aitken, Rajat Masiwal, Adam Marchakitus, Katherine M. Kowal, Mayank Gupta, Tyler Yang, Amir Jina, Pedram Hassanzadeh, William R. Boos, Michael R. Kremer
DOI: 10.5281/zenodo.18894298
Cited by: 0

Abstract

Subsetted AI-based weather prediction (AIWP) forecast datasets for daily precipitation over the Indian region. Daily precipitation is provided on a 2° × 2° spatial grid, obtained via conservative regridding from each model’s native resolution. Daily precipitation from the Meteorological Department (IMD) at the same 2° ×2° resolution is also provided. The datasets span multiple analysis periods and are organized as yearly NetCDF (.nc) files.

Fields of Study & Subjects

Meteorological Phenomena and Simulations Hydrological Forecasting Using AI Climate variability and models

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
8 March 2026
Language
EN
Document type
Dataset