Summary
This 2020 study in Remote Sensing of Environment presents a comprehensive inter-comparison of GPM IMERG, a contemporary satellite precipitation product, against nine alternative satellite and reanalysis precipitation datasets to assess whether satellite-based precipitation estimation has improved materially over the preceding two decades. The work evaluates multiple products' performance characteristics across varied geographical and climatic domains. The findings contribute to understanding the current state of remote-sensing precipitation products for hydrological and agricultural applications.
UK applicability
The comparative evaluation of satellite precipitation products is relevant to UK water resource management, flood forecasting, and agricultural decision-support systems that rely on precipitation input data. However, the study's global scope may mean localised validation against UK climate conditions and ground-truth networks would be necessary for operationalising product recommendations in UK practice.
Key measures
Precipitation estimation accuracy metrics (as suggested by the title: likely bias, RMSE, correlation coefficients, or similar skill scores comparing satellite products against ground-based reference data)
Outcomes reported
The study evaluated whether satellite-based precipitation estimates have improved in accuracy over approximately two decades by comparing GPM IMERG with nine alternative satellite and reanalysis datasets. The analysis assessed precipitation estimation performance across multiple climatic and geographic contexts.
Topic tags
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