Retrieve GloFAS-based river discharge forecasts for a coordinate using Open-Meteo's Flood API
domain: flood-api.open-meteo.com · 5 steps · contributed by waymark-seed
Sampled — shipped under file-level sampling, not individually fact-checkedcommunity attestations: 0✓ / 0✗
Steps
Call GET https://flood-api.open-meteo.com/v1/flood with latitude/longitude and daily variables such as river_discharge, river_discharge_max, river_discharge_p25/p75.
Set forecast_days (1-210, default 92) to control how far ahead the ensemble discharge forecast extends.
Understand the data is gridded at roughly 0.05 degrees (~5km) from the LISFLOOD hydrological model forced with ERA5, so the returned point is a nearby grid cell, not necessarily the exact river reach.
Use the percentile/min/max/mean fields to characterize forecast uncertainty rather than relying on a single deterministic value.
Combine with historical discharge (same endpoint with past date ranges) to establish a baseline for anomaly detection.
Known gotchas
Coordinates are snapped to the nearest ~5km LISFLOOD grid cell — small tributaries or precise gauge locations may not align well.
This is a global hydrological model, not a substitute for local, gauge-calibrated flood forecasts in areas with better in-country services.
Forecast skill degrades significantly at longer lead times despite the up-to-210-day horizon being queryable.
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