CERES ingests eight open data streams covering rainfall, vegetation, conflict, food access, market prices, and displacement. All sources are publicly available. No proprietary data is used.
Climate
Conflict
Food Security
Displacement
CHIRPSClimate
Climate Hazards Group InfraRed Precipitation with Station data
Forced displacement (IDPs)Refugee outflowsReturn movementsCamp population
Spatial Resolution
Country / Admin1
Pipeline Integration
How Each Signal Is Used
Each data stream feeds into a specific stage of the CERES pipeline. Sub-scores are combined into a composite stress score which drives the probabilistic forecast. See the Methodology page for full mathematical specification.
Signal
Role in Pipeline
Stage
CHIRPS SPI-3
Drought stress sub-score
Stress scoring
MODIS NDVI anomaly
Vegetation stress sub-score
Stress scoring
ACLED conflict events
Conflict intensity sub-score
Stress scoring
FEWS NET IPC estimate
IPC phase sub-score
Stress scoring
WFP VAM food access
Food access sub-score
Stress scoring
FEWS NET market prices
Market deviation sub-score
Stress scoring
IPC cadre outcome
Ground-truth for grading
Calibration (T+90d)
UNHCR displacement
HGE hypothesis corroboration
Hypothesis generation
100% Open Data
Every source used by CERES is publicly available and free to access. No proprietary or licensed data is used in the pipeline.
Source Provenance
Every prediction stores the data retrieval timestamps for all eight sources. Full audit trail from raw signal to probability estimate.
Latency Transparency
Data latency for each source is published here. Known latency constraints are explicitly modelled as limitations in forecast uncertainty.