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

<p>These datasets provide precipitation data over Central Plateau watershed of Iran. Four different variants of the Inverse Distance Weighting (IDW) method&nbsp;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.</p> <p>&nbsp;</p> <p>Data Format: xlsx</p> <p>Spatial Resolution: ~0.08˚&nbsp;&amp;&nbsp;0.25˚</p> <p>Spatial Coverage:&nbsp;Central Plateau watershed, Iran (48˚07&#39;E&nbsp;to 61˚25&#39;E - 26˚33&#39;N to 37˚27&#39;N)</p> <p>Temporal Resolution: Monthly</p> <p>Temporal Coverage: 2005 - 2015 (Inclusively)</p> <p>&nbsp;</p> <p><strong>How to cite:</strong></p> <p><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></p>