Summary
This validation study assessed the accuracy of GPM IMERG satellite precipitation estimates (version 6) over the Indonesian Maritime Continent using five years of ground-based rain gauge data. The analysis revealed strong agreement at coarser temporal scales—with annual and monthly data showing correlation coefficients of 0.54–0.78 and 0.62–0.79 respectively—but substantially degraded performance at finer scales, with daily correlation coefficients of 0.39–0.44 and hourly values of 0.03–0.28. The findings indicate systematic rainfall overestimation, clear seasonal and altitude-dependent performance variation, and the necessity of bias correction before operational deployment in agricultural and hydrological applications across the region.
UK applicability
This study addresses satellite precipitation validation methodology in a tropical maritime climate, which differs substantially from UK temperate conditions. The validation framework and bias-correction approaches may have limited direct applicability to UK agricultural water management, though the methodological approach could inform validation protocols for UK satellite precipitation datasets.
Key measures
Correlation coefficient (CC), probability of detection (POD), false alarm ratio (FAR), critical success index, mean bias, seasonal and topographic variation
Outcomes reported
The study validated GPM IMERG satellite precipitation estimates against ground-based rain gauge data across the Indonesian Maritime Continent from 2016–2020, assessing performance across annual, monthly, daily, and hourly time scales. The validation measured correlation coefficients, probability of detection, false alarm ratios, and systematic biases across seasons and altitudes.
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