Crop-specific rainfall reliability index for moisture deficit monitoring

Overview

This solution introduces a crop-specific rainfall reliability index designed to measure crop water deficit more efficiently than conventional meteorological and agricultural drought indices such as the standardized precipitation index, standardized precipitation and evapotranspiration index, crop moisture index, and soil moisture index. By linking rainfall reliability directly to specific crop cultivars, the index supports weather-based cultivar selection as a strategy to offset the risk of crop failure caused by rainfall deficit. This approach is particularly relevant for rainfed agricultural regions where seasonal rainfall variability directly determines crop productivity.

Technical specifications

• Computes atmospheric water demand using high-quality gridded climate data for rainfed agricultural areas
• Uses a simple hydrological model to simulate soil water balance components
• Determines crop water demand based on crop and climatic factors
• Compares crop water demand with rainfall input to construct a rainfall reliability index for dominant crops
• Evaluates the index against seasonal crop yield anomalies and benchmarks it against conventional drought indices
• Developed by an interdisciplinary team of hydrologists, climatologists, and agroecologists

Technology readiness level

The methodology builds on prior findings on rainfed crop production in Ethiopia demonstrating that rainfall seasonality and timing show high interannual variability and that cereal crop production is significantly sensitive to these variabilities. The team plans to complete the index construction and validation within six months. The approach is at an early-to-mid research stage, with planned validation against crop yield anomalies and comparison with established drought indices. The team is seeking partnership with agronomists to strengthen the agronomic validation of the index.