Thailand Subnational Dekadal Rainfall and Anomalies from CHIRPS

WFP provides dekadal rainfall indicators for Thailand's subnational administrative units derived from CHIRPS v2 satellite imagery and CHIRPS-GEFS forecasts. The dataset tracks 10-day, 1-month, and 3-month rainfall totals, long-term averages, and percentage anomalies. Records are updated six times per month to transition from predictive forecasts to validated historical observations.

Use Cases

• Drought monitoring using the 3-month rainfall anomaly percentage (r3q)
• Agricultural season tracking by comparing 10-day rainfall (rfh) against long-term averages (rfh_avg)
• Validation of climate models using the 'type' column to compare forecasts against final observations

Strengths

• Integrates CHIRPS v2 satellite data with in-situ station records
• Provides 3-month rolling anomalies (r3q) for long-term climate trend analysis
• Distinguishes data maturity via the 'type' column (forecast vs. final)

Limitations

• Aggregated at administrative levels, losing granular pixel-level variance
• Forecast values are volatile and subject to replacement by preliminary and final products

Provenance

Source

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

Collection Method

Satellite imagery processing and station data integration aggregated by administrative units

Freshness

Updated six times monthly (1st, 6th, 11th, 16th, 21st, 26th).

Geography

Thailand