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June 6, 2026Open Access

Comprehensive Global Assessment of 24 Gridded Precipitation Datasets Across 18 428 Catchments Using Hydrological Modeling

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Authors

AAA. AbbasYYY. YangMPM. Pan

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Overview

Comprehensive global assessment reveals performance variations in 24 precipitation datasets using hydrological modeling in 18,428 catchments, indicating optimal dataset selection for various...

Key Points

  • This research aims to evaluate the performance of various gridded precipitation datasets using hydrological modeling across numerous catchments. The goal is to identify the most reliable datasets for different environmental applications.
  • Conducted a global evaluation of 24 precipitation datasets using a calibrated HBV hydrological model.
  • Assessed performance using the Kling-Gupta Efficiency (KGE) metric across 18,428 catchments worldwide.
  • Analyzed influence of climatic and catchment attributes on dataset performance.
  • MSWEP V2.8 outperformed others with a median KGE of 0.78, indicating its effectiveness in merging precipitation estimates.
  • GPM + SM2RAIN achieved a median KGE of 0.64 as the best among satellite-only datasets.
  • Performance differed across climates, with the highest KGE in polar regions (0.76) and lowest in arid regions (0.53).

Cite This Study

Abbas et al. (2026) studied this question.

synapsesocial.com/papers/6a23b91b71a5da9775e750fbhttps://doi.org/10.5194/hess-30-3399-2026
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