Kazakhstan Subnational Rainfall: Dekadal CHIRPS Forecasts and Anomalies

Subnational rainfall indicators for Kazakhstan are provided by the World Food Programme (WFP) using CHIRPS satellite imagery and CHIRPS-GEFS forecasts. The data includes 10-day, 1-month, and 3-month rainfall totals, historical averages, and percentage anomalies for each dekad.

Use Cases

• Drought monitoring by analyzing the 3-month rainfall anomaly (r3q) across administrative units
• Agricultural yield forecasting using the 10-day rainfall (rfh) compared to long-term averages (rfh_avg)
• Climate trend analysis using the type column to filter for final validated observations

Strengths

• Includes 3-month rolling anomalies (r3q) for drought detection
• Standardized WFP Pcode references for easy GIS integration
• Provides pixel counts (n_pixels) to indicate the spatial data density of aggregates

Limitations

• Satellite-derived CHIRPS data may deviate from local rain gauge measurements
• Finalized observations have a mid-month lag for the previous month's data

Provenance

Source

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

Collection Method

Satellite imagery (CHIRPS) and in-situ station data aggregation

Freshness

Updated multiple times per month (1st, 6th, 11th, 16th, 21st, 26th) with forecasts and observations.

Geography

Kazakhstan