Tanzania Subnational Dekadal Rainfall Indicators and CHIRPS Forecasts

Tanzania subnational dekadal rainfall indicators and anomalies aggregated by WFP administrative units, derived from CHIRPS v2 satellite imagery and CHIRPS-GEFS forecasts. Produced by the World Food Programme, the data includes 10-day, 1-month, and 3-month rolling aggregations alongside long-term averages. The dataset is updated six times per month to transition from predictive forecasts to final observations.

Use Cases

• Drought monitoring by comparing 3-month rainfall anomalies (r3q) against long-term averages (r3h_avg)
• Agricultural planning using 10-day rainfall forecasts (rfh) to predict planting windows
• Climate trend analysis using the 'type' column to distinguish between historical final observations and predictive models

Strengths

• Includes long-term averages (rfh_avg, r1h_avg, r3h_avg) for baseline comparison
• Uses standardized WFP Pcode references for administrative unit joins
• Provides pixel counts (n_pixels) to indicate the spatial confidence of aggregated values

Limitations

• Satellite-derived CHIRPS data may deviate from local ground-truth rain gauges in complex terrains
• Temporal resolution is limited to 10-day intervals, precluding daily weather analysis

Provenance

Source

World Food Programme (WFP) using CHIRPS v2 and CHIRPS-GEFS

Collection Method

Aggregation of satellite imagery and in-situ station data

Freshness

Updated six times per month on the 1st, 6th, 11th, 16th, 21st, and 26th

Geography

Tanzania