Fiji Subnational Rainfall: Dekadal CHIRPS Indicators and Forecasts
Updated 4mo ago
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Description
Dekadal rainfall indicators for Fiji aggregated by subnational administrative units, produced by the World Food Programme using CHIRPS satellite imagery and CHIRPS-GEFS forecasts. The data provides 10-day, 1-month, and 3-month rainfall totals, long-term averages, and percentage anomalies. Updates occur six times per month to transition from initial forecasts to final observations.
Use Cases
Drought monitoring using the 3-month rainfall anomaly (r3q) to identify persistent moisture deficits
Agricultural season tracking by comparing current 10-day rainfall (rfh) against long-term averages (rfh_avg)
Flood risk assessment using 1-month rolling aggregation (r1h) to identify soil saturation levels
Strengths
Includes long-term averages (rfh_avg, r1h_avg, r3h_avg) for baseline comparison
Blends satellite imagery with in-situ station data via CHIRPS version 2
Provides a clear data lifecycle from forecast to final validated product
Limitations
Spatial resolution is restricted to administrative unit aggregates rather than raw grid cells
Preliminary observations are subject to replacement by final products mid-month
Relies on satellite-derived estimates which may vary from ground-truth in high-elevation terrain
Provenance
Source
World Food Programme (WFP) via CHIRPS and CHIRPS-GEFS
Collection Method
Aggregation of Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) satellite-station blended imagery.
Freshness
Updated frequently with a structured publication cycle on the 1st, 6th, 11th, 16th, 21st, and 26th of each month.
Geography
Fiji
Users must filter by the 'type' column to ensure they are not mixing predictive forecasts with final historical observations; administrative boundaries are based on WFP Pcode standards.