Early warning

An integrated system of hazard monitoring, forecasting and prediction, disaster risk assessment, communication and preparedness activities systems and processes that enables individuals, communities, governments, businesses and others to take timely action to reduce disaster risks in advance of hazardous events.

Latest Early warning additions in the Knowledge Base

Update
Although scientists cannot forecast when and where earthquakes will strike, preparation is key to improving society's resilience to large earthquakes.
University of Southern California
Photograph of a mobile phone with cyclone moving towards the coast shown. The background is yellow with warning sign.
Update
In the summer of 2021, travelers in Colorado's Glenwood Canyon were safely evacuated before massive mounds of mud and rocks buried highways and destroyed bridges, thanks to a debris flow warning system developed in part by the U.S. Geological Survey.
United States Geological Survey
Cover
Documents and publications
This study aims to develop an intelligent outbreak malaria early warning model driven by monthly time series climatic variables in the northern part of Benin.
Update
The purpose of this interview is to inform strategic discussion among WMO Members on how to Integrate the flash flood guidance system into national policies, strategies, and planning.
World Meteorological Organization (WMO)
Update
Forecasting cyclone tracks, speed & accompanying rainfall becomes challenging due to data gaps and rapidly warming oceans:
Down To Earth
Women and men selling goods in a market in Burundi
Update
Through anticipatory action, the World Food Programme and its partners are cushioning the fallout of extreme weather in countries grappling with hunger.
World Food Programme
Update
This brief displays the November 2023 updates for the Early Warnings 4 All initiative.
Early Warnings for All initiative (EW4All)
rescue person looking inside a fallen building
Research briefs
The Earthquake Early Warning (EEW) system sends out notifications to areas expected to experience strong tremors by detecting primary seismic waves (P-waves) that arrive before the secondary waves (S-waves).
Doshisha University

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