How to enhance the inverse distance weighting method to detect the precipitation pattern in a large-scale watershed

These datasets provide precipitation data over Central Plateau watershed of Iran. Four different variants of the Inverse Distance Weighting (IDW) method are utilized to create these datasets. Two out of four IDW variants are proposed and developed by the authors to enhance the performance of the available standard models. Data Format: xlsx Spatial Resolution: ~0.08˚ &amp; 0.25˚ Spatial Coverage: Central Plateau watershed, Iran (48˚07'E to 61˚25'E - 26˚33'N to 37˚27'N) Temporal Resolution: Monthly Temporal Coverage: 2005 - 2015 (Inclusively) <strong>How to cite:</strong> <strong>Arash Ghomlaghi, Mohsen Nasseri &amp; Bardia Bayat (2022): How to enhance the inverse distance weighting method to detect the precipitation pattern in a large-scale watershed, Hydrological Sciences Journal, DOI: 10.1080/02626667.2022.2124874</strong>