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Reliable spatial and temporal meteorological estimates are essential for accurately modeling hydrological, ecological, and climatic processes. High-resolution gridded datasets can be utilized for such applications, particularly in data-sparse regions. However, the validation of the accuracy of these products is necessary before their application in hydrological modeling for the assessment and management of water resources. In this study, high-resolution (0.08° × 0.08°), long-term station-based gridded datasets for precipitation and maximum and minimum temperatures were developed for the Potohar Plateau. Linear regression analysis was performed against the datasets and nearby stations for gap-filling during the base period. The observed gap-filled data were spatially interpolated using the ordinary kriging technique to obtain an observed gridded dataset. Five datasets for precipitation and three datasets for …