Data Sources

The upstream feeds that ADAM consumes to produce the data exposed by the API. Knowing the source tells you where latency comes from, how often data refreshes, and which authoritative reference to cite in your own products.

Earthquakes

Source	Provider	Role	Cadence	Reference
GDACS	EC Joint Research Centre	Initial event trigger	Near real-time	https://www.gdacs.org
USGS	United States Geological Survey	Epicenter, magnitude, depth, ShakeMap	Near real-time	https://earthquake.usgs.gov

Tropical Storms

Source	Provider	Role	Cadence	Reference
ECMWF	European Centre for Medium-Range Weather Forecasts	Track and rainfall forecasts	Per forecast cycle	https://www.ecmwf.int
GDACS	EC Joint Research Centre	Event registry, cross-reference	Near real-time	https://www.gdacs.org

Floods

Source	Provider	Role	Cadence	Reference
GLOFAS	EC Joint Research Centre	Forecast-based alerts	Daily	https://www.globalfloods.eu
Copernicus EMS	EU Copernicus	Post-event rapid mapping	On-activation	https://emergency.copernicus.eu
FLOODSCAN	Atmospheric & Environmental Research	Flood observatory	Daily	https://www.aer.com/weather-risk-management/floodscan-near-real-time-and-historical-flood-mapping/
CSDMS	Community Surface Dynamics Modeling System	Flood observatory	Event-driven	https://csdms.colorado.edu
GEE / GCS	Google Earth Engine	EO compute for satellite-derived flood mapping	On-demand	https://earthengine.google.com

Reference layers

ADAM crosses hazard footprints with these reference datasets to produce impact estimates exposed as dynamic fields on event features:

Layer	Used for	Source
Population	Exposed population counts	Landscan
Cropland	Affected cropland area (flood module)	Global cropland masks
Infrastructure	Proximity to roads, health facilities, WFP operations	OSM, OCHA operational layers

Attribution

When you publish analysis derived from ADAM data, cite the upstream sources you actually used. The API's response links and feature properties carry source attributions on a per-event basis; surface them in your own products.