Cameroon Subnational Rainfall: Dekadal Indicators and Forecasts

Cameroon subnational rainfall data provided by the World Food Programme, featuring dekadal (10-day) indicators derived from CHIRPS satellite imagery and GEFS forecasts. The dataset tracks precipitation levels, long-term averages, and anomalies across administrative units identified by WFP Pcodes.

Use Cases

• Monitoring drought conditions using the rfq (rainfall anomaly) column
• Assessing long-term climate trends by comparing rfh against rfh_avg
• Evaluating short-term agricultural risk using the type column to track upcoming 10-day forecasts

Strengths

• 9 distinct rainfall indicators including rolling averages and anomalies
• Standardized WFP Pcode references for administrative units
• High-frequency updates with a structured forecast-to-final observation pipeline

Limitations

• Satellite-derived estimates (CHIRPS) may deviate from local rain gauge data in specific terrains
• Temporal lag for 'final' status records which are published mid-month for the prior month

Provenance

Source

World Food Programme (WFP) using CHIRPS and CHIRPS-GEFS data

Collection Method

Aggregation of satellite imagery (CHIRPS v2) and short-term rainfall forecasts (CHIRPS-GEFS) into administrative boundaries

Freshness

Updated multiple times per month on a cycle including the 1st, 3rd, 6th, 11th, 13th, 16th, 21st, 23rd, and 26th.

Geography

Cameroon