Turning forecast data into actionable signals — before hazards become disasters.
Early Warning is the foundation on which all anticipatory action rests. Without timely, reliable, and localised hazard forecasts, no trigger system can function. This pillar works to ensure Kenya has the data infrastructure, analytical capacity, and communication systems needed to convert weather and climate signals into actionable AA triggers.
Working with KMD, NDMA, ICPAC, and global modelling centres, the pillar develops hazard-specific trigger thresholds for drought, floods, pest outbreaks, and disease — calibrated to the unique agro-ecological zones and livelihood systems across Kenya's 47 counties.
The goal is not just more data, but the right data, delivered in time, in the right format, to the right decision-makers — county coordinators, TWG members, and national authorities — to activate pre-agreed early actions without delay.
Integrate drought, flood, locust, and disease forecast data into a single national AA trigger monitoring dashboard linked to KMD and NDMA systems.
Develop downscaled probabilistic forecasts for each of Kenya's 47 counties so trigger thresholds reflect local agro-ecological and livelihood conditions.
Establish and validate probability thresholds for each hazard type at which AA protocols are triggered — balancing false alarm risk against under-response cost.
Build standardised communication protocols so EW alerts reach county AA coordinators, TWG members, and community networks in under 6 hours of a threshold crossing.
Building a digital dashboard integrating KMD, NDMA, ICPAC, and FAO early warning data streams, with automated alerts when AA trigger thresholds are approached or crossed.
Training county DRM focal points to interpret probabilistic forecasts and apply county-specific trigger thresholds within their operational contexts.
Commissioning historical analysis and expert consultations to set scientifically defensible trigger thresholds for each hazard-county combination.
Strengthening the last-mile EW link — community scouts, village elders, and local radio networks — to ensure forecast data translates to household preparedness.
Conducting annual reviews of trigger thresholds and forecast models against observed hazard events to continuously improve calibration and reduce false alarms.
Share data, local knowledge, or technical capacity to strengthen Kenya's AA trigger system.