Somalia Subnational Rainfall: Dekadal Indicators and CHIRPS Forecasts

Somalia subnational rainfall indicators produced by the World Food Programme utilize CHIRPS v2 and CHIRPS-GEFS data to track precipitation at 10-day intervals. The records include rolling aggregations, long-term averages, and percentage anomalies for drought and flood monitoring.

Use Cases

• Drought monitoring using the 'rfq' rainfall anomaly percentage to identify moisture deficits
• Agricultural trend analysis by comparing 'r3h' rolling totals against 'r3h_avg' historical baselines
• Short-term flood risk modeling using 'rfh' 10-day totals and CHIRPS-GEFS forecasts

Strengths

• Integrates CHIRPS v2 satellite imagery with in-situ station data
• Includes Pcode references for standardized administrative unit joins
• Provides a data lifecycle indicator via the 'type' column

Limitations

• Satellite-derived estimates may deviate from ground-truth in regions with low station density
• Aggregation accuracy is dependent on the 'n_pixels' count per administrative unit

Provenance

Source

World Food Programme (WFP)

Collection Method

Aggregation of CHIRPS v2 satellite imagery and CHIRPS-GEFS forecasts

Freshness

Updated up to six times per month following a specific forecast and observation release cycle.

Geography

Somalia