Multi-model weather comparison for India. Five models (including AI), one chart, plain-English interpretation.
IMD's official multi-model ensemble forecast on a 12.5km grid. Best for short-term (1–2 day) hyperlocal predictions across India. Updated daily from the 00Z model run.
Heavy rainfall forecast from India's NWP (Numerical Weather Prediction) model, hosted on ISRO's Meteorological & Oceanographic Satellite Data Archival Centre. Catches trace rainfall that global models often miss. Also provides Lightning Potential Index (LPI) for thunderstorm risk assessment.
Global Forecast System by NOAA. A strong general-purpose model, updated every 6 hours, though not specifically tuned for Indian monsoon dynamics. Accessed via the open-source Open-Meteo API.
European Centre for Medium-Range Weather Forecasts. Widely regarded as the world's most accurate global weather model. Updated every 6 hours. Accessed via Open-Meteo.
An AI/machine learning weather model developed by Google DeepMind and run operationally by NOAA. Instead of solving physics equations like traditional models, GraphCast learns weather patterns from 40 years of historical data (ERA5 reanalysis). Research shows it outperforms ECMWF on many metrics for 2–3 day forecasts. However, it runs at 6-hourly timesteps (interpolated to hourly by Open-Meteo) and can overpredict precipitation in dry periods. Supports temperature, rain, wind, and cloud cover but not humidity. Enabled via checkbox — off by default.